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Mosquito Metadata


General

Human population: LandScan 2011
Global Administrative Areas (GADM)
Populated Places
Water Bodies
Streams: non-perennial and perennial
Built-up areas
1-m sea level rise
Total species
Endemic species
Species richness (Bioclim)
Holotypes
Uncertainty (m)

Pathogen

Japanese encephalitis World
Dengue World
Rift Valley Fever World
Rift Valley Fever Africa (GEIS)
Yellow Fever World
P.falciparum World (2005)
P.vivax World (2005)
P.falciparum World (2007)
P.vivax World (2007)
P.falciparum World (2010)
P.vivax World (2010)
P.falciparum Tanzania (child prevalence)
P.falciparum Lao PDR (annual incidence rate)
P.falciparum Bangladesh (child prevalence)
P.vivax Turkey (frequency 2006-8)
P.falciparum World Infectious Days
P.vivax World Infectious Days
P.falciparum World Temp suitability index
P.vivax World Temp suitability index

Vector - Global coverage

Monthly Aedes suitability maps
Ae.aegypti_Nyari_1
Ae_albopictus_Dornak_1
Ae_albopictus_(2000-2009)_Proestos_1
Ae_albopictus_(2045-2054)_Proestos_2
Ae.lineatopennis_Nyari_1
Ae.polynesiensis_Nyari_1
Ae.vexans_Nyari_1
An.claviger_Nyari_1
An_hyrcanus_Dornak_1
An.messeae_Nyari_1
Cx.bitaeniorhynchus_Nyari_1
Cx_pipiens_Dornak_1
Cx.quinquefasciatus_Nyari_1
Cx_sitiens_Dornak_1
Cx_sitiens_Dornak_2
Cx.tritaeniorhynchus_Nyari_1
Cx.tritaeniorhynchus_Miller_1
Ma_uniformis_Dornak_1

Vector - Africa coverage

Ae.africanus_Nyari_1
Ae_circumluteolus_Dornak_1
Ae_dalzieli_Dornak_1
Ae_ochraceus_Dornak_1
Ae_furcifer_Foley_1
Ae.luteocephalus_Foley_1
Ae.simpsoni_Nyari_1
Ae_stokesi_Dornak_1
An.arabiensis_Kulkarni_1
An.arabiensis_Nyari_1
An.coustani_Nyari_1
An_flavicosta_Dornak_1
An.funestus_Kulkarni_1
An_funestus_Dornak_1
An.gambiae_Kulkarni_1
An.gambiae s.l._Nyari_1
An.hancocki_Nyari_1
An.hargreavesi_Nyari_1
Ae.luteocephalus_Nyari_1
An.melas_Nyari_1
An.merus_Nyari_1
An.moucheti_Nyari_1
An.multicolor_Nyari_1
An.nili_Nyari_1
An.pharoensis_Nyari_1
An.quadriannulatus_Nyari_1
An_rivulorum_Dornak_1
An.sergentii_Nyari_1
An_wellcomei_Dornak_1
Cx.antennatus_Nyari_1
Cx.poicilipes_Nyari_1
Cx_univittatus_Dornak_1
Ma.africana_Nyari_1
Ur_annulata_Dornak_1

Vector - Asia coverage

Ae.albopictus_Nyari_1
Ae_assamensis_Dornak_1
Ae_niveus_Comples_Foley_1
Ae_poicilius_Dornak_1
An.aconitus_Foley_1
An.aconitus_Nyari_1
An.annularis_Foley_1
An.baimaii_Nyari_1
An.barbirostris_s.l._Foley_1
An.barbirostris_Nyari_1
An.belenrae_Nyari_1
An.campestris_Nyari_1
An.culicifacies_s.l._Foley_1
An.culicifacies_Nyari_1
An.dirus_s.l._Foley_1
An.dirus_Nyari_1
An.flavirostris_Foley_1
An_flavirostris_Dornak_1
An.fluviatilis_s.l._Foley_1
An.harrisoni_Foley_1
An.karwari_Nyari_1
An.kleini_Nyari_1
An.koreicus_Nyari_1
An.lesteri_Foley_1
An.lesteri_Nyari_1
An.maculatus_s.l._Foley_1
An.maculatus_Nyari_1
An.minimus_Foley_1
An.minimus_Nyari_1
An.nigerrimus_Nyari_1
An.nivipes_Nyari_1
An.peditaeniatus_Nyari_1
An.philippinensis_Nyari_1
An.pullus_Nyari_1
An.sinensis_Foley_1
An.sinensis_Nyari_1
An.sineroides_Nyari_1
An.subpictus_s.l._Foley_1
An.subpictus_Nyari_1
An.sundaicus_Nyari_1
An.tessellatus_Nyari_1
An.vagus_Nyari_1
An.varuna_Nyari_1
Ar_subalbatus_Dornak_1
Ar_subalbatus_Foley_1
Cq_crassipes_Dornak_1
Cx.fuscocephala_Nyari_1
Cx.gelidus_Nyari_1
Cx.pseudovishnui_Nyari_1
Cx.vishnui_Nyari_1
Ma_dives_Dornak_1

Vector - Palaearctic coverage

An.belenrae_Foley_1
An_dthali_Dornak_1
An.kleini_Foley_1
An.koreicus_Foley_1
An.lesteri_Foley_1
An.lindesayi_Foley_1
An_maculipennis_Dornak_1
An.pullus_Foley_1
An_sacharovi_Dornak_1
An.sinensis_Foley_1
An.sineroides_Foley_1
An_stephensi_Dornak_1
An_superpictus_Dornak_1
Cu_annulata_Dornak_1
Cx_perexiguus_Dornak_1
Cx_theileri_Dornak_1
Cx.tritaeniorhynchus_Masuoka_1

Vector - North America coverage

An.diluvialis_Benedict_1
An_freeborni_Dornak_1
An.inundatus_Benedict_1
An.maverlius_Benedict_1
An_punctipennis_Dornak_1
An.quadrimaculatus_Benedict_1
An_quadrimaculatus_Dornak_1
An.smaragdinus_Benedict_1
An_walkeri_Dornak_1
Ae_canadensis_Dornak_1
Ae_dorsalis_Dornak_1
Ae_melanimon_Dornak_1
Ae_triseriatus_Dornak_1
Ae_trivittatus_Dornak_1
Cq_perturbans_Dornak_1
Cs_inornata_Dornak_1
Cs_morsitans_Dornak_1
Cx_erythrothorax_Dornak_1
Cx_restuans_Dornak_1
Cx_tarsalis_Dornak_1

Vector - South & Central America coverage

Ae_aegypti_Samson_1
Ae_albopictus_Samson_1
Ae_angustivittatus_Dornak_1
Ae_fluviatilis_Dornak_1
Ae_scapularis_Dornak_1
Ae_taeniorhynchus_Dornak_1
An_albimanus_Nyari_1
An_albimanus_Fuller_1
An_albimanus_Fuller_2
An_albitarsis_ss_Foley_1
An_albitarsis_Nyari_1
An_albitarsis_F_Foley_1
An_albitarsis_G_Foley_1
An_albitarsis_H_Foley_1
An_albitarsis_I_Foley_1
An_aquasalis_Nyari_1
An_argyritarsis_Nyari_1
An_bellator_Laporta_1
An_braziliensis_Nyari_1
An_crucians_Nyari_1
An_cruzii_Laporta_1
An_darlingi_Nyari_1
An_deaneorum_Dornak_1
An_deaneorum_Foley_1
An_janconnae_Foley_1
An_marajoara_Dornak_1
An_marajoara_Foley_1
An_marajoara_Laporta_1
An_neivai_Nyari_1
An_nuneztovari_Nyari_1
An_oryzalimnetes_Foley_1
An_oswaldoi_Nyari_1
An_pseudopunctipennis_Nyari_1
An_punctimacula_Nyari_1
An_triannulatus_Nyari_1
An_vestitipennis_Nyari_1
Cq_venezuelensis_Dornak_1
Cx_bonneae_Dornak_1
Cx_nigripalpus_Dornak_1
Cx_ocossa_Dornak_1
Cx_portesi_Dornak_1
Cx_quinquefasciatus_Samson_1
Cx_spissipes_Dornak_1
Cx_taeniopus_Dornak_1
Cx_vomerifer_Dornak_1
Cx_vomerifer_Dornak_2
Hg_janthinomys_Nyari_1
Hg_leucocelaenus_Nyari_1
Ma_titillans_Dornak_1
Ps_ferox_Dornak_1
Sa_chloropterus_Nyari_1
Tr_digitatum_Dornak_1

Vector - Australasia coverage

Ae_kochi_Dornak_1
Ae_normanensis_Dornak_1
Ae.palpalis_Nyari_1
Ae.scutellatus_Nyari_1
Ae_vigilax_Dornak_1
An.annulipes_Nyari_1
An.bancroftii_Nyari_1
An.farauti_Nyari_1
An.koliensis_Nyari_1
An.punctulatus_Nyari_1
Cx.annulirostris_Nyari_1

General

LandScan 2011

People/1 sq Km. This product was made utilizing the LandScan (2011)™ High Resolution global Population Data Set copyrighted by UT-Battelle, LLC, operator of Oak Ridge National Laboratory under Contract No. DE-AC05-00OR22725 with the United States Department of Energy. The United States Government has certain rights in this Data Set. Neither UT-BATTELLE, LLC NOR THE UNITED STATES DEPARTMENT OF ENERGY, NOR ANY OF THEIR EMPLOYEES, MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LEGAL LIABILITY OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR USEFULNESS OF THE DATA SET. Available at http://www.ornl.gov/sci/landscan


GADM
Global Administrative Areas (version 0.9). Available at http://biogeo.berkeley.edu/gadm.

Populated Places
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Water Bodies
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Streams: non-perennial and perennial
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

Built-up areas
P. Hearn, Jr., T. Hare, P. Schruben, D. Sherrill, C. Lamar, P. Tsushima, 2003. Global GIS Database: Digital Atlas of the Earth, USGS Digital Data Series DDS-62-H, Flagstaff, AZ.

1-m sea level rise
David Braaten, Nathaniel Haas, Xingong Li, RJ Rowley, Kalonie Hulbutta, John Kostelnick, Joshua Meisel. Sea level rise maps. The Centers for the Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas and Haskell Indian Nations University.

Potentially inundated areas were computed based on elevation and proximity to the current ocean shoreline. First, the algorithm flags all raster cells in the DEM that lie adjacent to the contiguous ocean. Second, cells within that group of flagged cells whose elevation value is less than or equal to the 1-m sea level rise increment are selected and reassigned as ocean cells. Since the initial pass floods only those cells that are directly adjacent to the current ocean, the two-step procedure is repeated until all cells connected with cells adjacent to the ocean are inundated. A large, flat coastal plain whose elevation is one meter above current sea level, for instance, would be inundated after the algorithm has completed several iterations, or until there are no more raster cells of a specific elevation that are adjacent to the current sea level. Available at: https://www.cresis.ku.edu/data/sea-level-rise-maps?quicktabs_3=2#quicktabs-3</br> Contact: cresis_data@cresis.ku.edu

Total Species
Foley, D.H., Rueda, L.M. and Wilkerson, R.C. (2007). Insight into global mosquito biogeography from country species records. J. Med. Entomol. 44 (4): 554–567. Figure 4A.
Total species per country based on entries in the Systematic Catalog of the Culicidae ( http://www.mosquitocatalog.org).
Contact: foleydes@si.edu Download ESRI Grid files for Total species (196KB)

Endemic Species
Foley, D.H., Rueda, L.M. and Wilkerson, R.C. (2007). Insight into global mosquito biogeography from country species records. J. Med. Entomol. 44 (4): 554–567. Figure 4B.
Endemic species (those that were recorded in the database from only one country) per country based on entries in the Systematic Catalog of the Culicidae (http://www.mosquitocatalog.org).
Contact: foleydes@si.edu
Download ESRI Grid files for Endemic species (182KB)

Species richness (Bioclim)
Foley, D.H., Weitzman, A.L., Miller, S.E., Faran, M.E., Rueda, L.M. and Wilkerson, R.C. (2008). The value of georeferenced collection records for predicting patterns of mosquito species richness and endemism in the Neotropics. Ecol. Entomol. 33: 12–23. Figure 7.
Potential species richness for South and Central America was estimated by summing the incidence (presence/absence) of 496 species for each 1-degree grid cell as determined by the bioclim distribution model (in DIVA-GIS). The bioclim models were implemented using the worldclim 2.5 arc minute resolution database of 19 bioclimatic variables, that is, annual mean temperature, mean monthly temperature range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, annual temperature range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the coldest quarter, mean temperature of the warmest quarter, annual precipitation, wettest month precipitation, driest month precipitation, precipitation seasonality, wettest quarter mean precipitation, driest quarter mean precipitation, coldest quarter mean precipitation, warmest quarter mean precipitation. All areas that are within the climate envelope described by the data, cut off beyond the 0.025 percentile, were mapped as true (1) or false (0).
Contact: foleydes@si.edu
Download ASCII file for species richness (South America) (454KB)

Holotypes
Locations of mosquito Holotypes, georeferenced according to information in http://www.mosquitocatalog.org/ and http://manisnet.org/GeorefGuide.html

Uncertainty (m)
Spatial uncertainty in meters of collection locations, calculated using the point radius method (see http://manisnet.org/GeorefGuide.html)

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Pathogen

Japanese encephalitis
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1–35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Dengue
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1–35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Rift Valley Fever
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1–35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

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Rift Valley Fever (GEIS)
Areas indicated are those within an RVF endemic region or in areas where RVF virus has previously been identified
DoD-GEIS & NASA/GSFC Project leader: Asaph Anyamba
from the DoD-GEISWeb RVF page http://www.geis.fhp.osd.mil/GEIS/SurveillanceActivities/RVFWeb/indexRVF.asp
asaph.anyamba-1@nasa.gov

Yellow Fever
Non-linear discriminant cluster analysis (see Rogers, D.J. 2006.
Models for vectors and vector-borne diseases. Advances in Parasitology 62, 1–35).
The International Research Partnership for Infectious Diseases (INTREPID) - 2006 Manager: Monica Faeth-Myers
Database Development: Dr. Simon Hay and Dr. Carlos Guerra
Image Processing: Dr. Simon Hay and Prof. David Rogers
Model development: Ben McCormick and Prof. David Rogers
Spatial Ecology and Epidemiology Research Group, University of Oxford, Department of Zoology, South Parks Rd., Oxford OX1 3PS, UK.
david.rogers@zoo.ox.ac.uk

Spatial limits and endemic levels of Plasmodium falciparum in 2005.
Hypoendemic, Mesoendemic and Hyper-holoendemic
Several sources of information on malaria risk (notably international travel health guidelines on malaria chemoprophylaxis, altitude limits for dominant vectors, climate limits for malaria transmission and human population density thresholds) have been combined in a GIS to generate this map. See Guerra et al. (2006) Advances in Parasitology 62: 157–179 and Guerra et al. (2006) Trends in Parasitology 22: 353–358 for details.
The method for defining the endemic levels within these limits can be found in Snow et al. (2005) Nature 434: 214–217.
This map layer was digitized from an image file that was available from the Malaria Atlas Project http://www.map.ox.ac.uk, and is provided here only as a guide. Errors of translation and geopositioning may have occurred, particularly in coastal areas, that were not present on the original image.

Spatial limits and endemic levels of Plasmodium vivax in 2005.
Several sources of information on malaria risk (notably international travel health guidelines on malaria chemoprophylaxis, altitude limits for dominant vectors, climate limits for malaria transmission and human population density thresholds) have been combined in a GIS to generate this map. See Guerra et al. (2006) Advances in Parasitology 62: 15–179 and Guerra et al. (2006) Trends in Parasitology 22: 353–358 for details.
The method for defining the endemic levels within these limits can be found in Snow et al. (2005) Nature 434: 214–217.
This map layer was digitized from an image file that was available from the Malaria Atlas Project http://www.map.ox.ac.uk, and is provided here only as a guide. Errors of translation and geopositioning may have occurred, particularly in coastal areas, that were not present on the original image.

 

Spatial limits and endemic levels of Plasmodium falciparum in 2007.
Stable (where PfAPI greater than or equal to 0.1 per thousand pa) and Unstable (where PfAPI < 0.1 per thousand pa)
Uses nationally reported case-incidence data, medical intelligence, and biological rules of transmission exclusion, using temperature and aridity limits informed by the bionomics of dominant Anopheles vector species. See Guerra C.A., Gikandi P.W., Tatem A.J., Noor A.M., Smith D.L., Hay S.I., Snow R.W. (2008). The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Med, 5(2):e38, and the Malaria Atlas Project http://www.map.ox.ac.uk/ for details.

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Spatial limits and endemic levels of Plasmodium vivax in 2007.
Uses nationally reported case-incidence data, medical intelligence, and biological rules of transmission exclusion, using temperature and aridity limits informed by the bionomics of dominant Anopheles vector species. See Guerra C.A., Gikandi P.W., Tatem A.J., Noor A.M., Smith D.L., Hay S.I., Snow R.W. (2008). The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Med, 5(2):e38, and the Malaria Atlas Project http://www.map.ox.ac.uk/ for details.

Plasmodium falciparum in 2010.
Estimated proportion of 2-10 year olds in the general population that are infected with P. falciparum at any one time, averaged over the 12 months of 2010. Malaria Atlas Project http://www.map.ox.ac.uk/browse-resources/endemicity/Pf_mean/world

Plasmodium vivax in 2010.
Estimated proportion of the general population that are infected with P. vivax at any one time, averaged over the 12 months of 2010. Malaria Atlas Project http://www.map.ox.ac.uk/browse-resources/endemicity/Pv_mean/world/

Plasmodium falciparum prevalence in children 2-9 years (Tanzania).
Estimated Pf risk at 30 metre resolution [resampled to 1km resolution] from regression analysis of community-based measures of prevalence with altitude and area of vector habitat within 1.5km radius of grid cells. Source: Kulkarni M.A., Desrochers R.E., Kerr J.T. (2010). High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396. See http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009396 for details.
Download 1km resampled ESRI Grid files for Pf prevalence in 2-9 year olds for Tanzania (356KB). Users of this model should cite the article above.

Plasmodium falciparum highest annual incidence (Lao PDR).
Interpolated (IDW - fixed search radius of 10 km - power of 2) highest annual incidence rates (per 1000 population) of P. falciparum based on data from 3,876 villages and 685 health centres (2006- 2008). To quantify malaria risk, P. falciparum incidence zones were created using the following classification: 1) 0 case per 1,000 per annum; 2) >0-1 case per 1,000 per annum; 3) >1-10 cases per 1,000 per annum; 4) >10-100 cases per 1,000 per annum; 5) >100-1,000 cases per 1,000 per annum; and 6) unknown (villages where data was not collected and an estimated value could not be produced because the village fell outside the 10 km prediction area).
Data source: Center for Malariology, Parasitology and Entomology, Ministry of Health, Lao People's Democratic Republic.
See Jorgensen P., Nambanya S., Gopinath D., Hongvanthong B., Luangphengsouk K., Bell D., Phompida S., Phetsouvanh R. (2010). High heterogeneity in Plasmodium falciparum risk illustrates the need for detailed mapping to guide resource allocation: a new malaria risk map of the Lao People’s Democratic Republic. Malaria Journal 9:59 http://www.malariajournal.com/content/9/1/59.

Plasmodium falciparum, Bangladesh (child prevalence)
Plasmodium falciparum upper 75% predicted prevalence in children 2-10 years (Bangladesh). Bayesian geostatistical logistic regression models with environmental covariates (vegetation cover, minimum temperature, and elevation) were used to predict P. falciparum prevalence for 2- to 10-year-old children across the endemic areas of Bangladesh in 2007. The predicted upper 75% Pf risk is shown here at 0.005 degree resolution. Model validation statistics revealed that the final Bayesian geostatistical model had good predictive ability, and that 3.1 million people were estimated to be living in areas with a Pf PR 2–10 greater than 1%.
Source: Heidi Reid, Ubydul Haque, Archie C. A. Clements, Andrew J. Tatem, Andrew Vallely, Syed Masud Ahmed, Akramul Islam, and Rashidul Haque (2010). Mapping Malaria Risk in Bangladesh Using Bayesian Geostatistical Models Am. J. Trop. Med. Hyg., 83(4), 2010, pp. 861–867.
See http://www.ajtmh.org/cgi/content/abstract/83/4/861 for details.

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Plasmodium vivax, Turkey (frequency 2006-8)
"We developed seven 5-year-period raster maps by using geo-referenced malaria case data from the centres of 81 provinces and the kriging method with a spherical variogram model in a geographic information systems (GIS) model. We determined incidence values for provinces by using the incidence = (frequency/population) formula in order to take into account the influence of the population density on the results, and computed average incidence values for each province. We also modelled malaria incidence in GIS by using our average malaria incidence raster map, and complementary spatial database including the raster map layers of 14 environmental variables. We chose linear regression analysis with backward method to investigate relationships among variables and develop a model. The model was run in GIS to obtain a model incidence raster map. We tested the reliability of the model map by residual statistics, and found the model map dependable."
Source: Figure 3G. Dogan HM, et al. (2010). Spatiotemporal change and ecological modeling of malaria in Turkey by means of geographic information systems. Trans. R. Soc. Trop. Med. Hyg., 104:726-732. doi:10.1016/j.trstmh.2010.08.003.
See http://www.ncbi.nlm.nih.gov/pubmed/20888613 for details.

Plasmodium falciparum, Infectious Days
The number of days in an average year in which the annual temperature regime could support potentially infectious vectors
Source: Gething et al. Parasites & Vectors 2011, 4:92
See http://www.parasitesandvectors.com/content/4/1/92 and the Malaria Atlas Project for details.
Correspondence: peter.gething@zoo.ox.ac.uk. Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

Plasmodium vivax, Infectious Days
The number of days in an average year in which the annual temperature regime could support potentially infectious vectors
Source: Gething et al. Parasites & Vectors 2011, 4:92
See http://www.parasitesandvectors.com/content/4/1/92 and the Malaria Atlas Project for details.
Correspondence: peter.gething@zoo.ox.ac.uk. Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

Plasmodium falciparum, Temp suitability index
The normalized Z(T) index of temperature suitability that incorporates not just the duration but also the degree of suitability across an average year
Source: Gething et al. Parasites & Vectors 2011, 4:92
See http://www.parasitesandvectors.com/content/4/1/92 and the Malaria Atlas Project for details.
Correspondence: peter.gething@zoo.ox.ac.uk. Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

Plasmodium vivax, Temp suitability index
The normalized Z(T) index of temperature suitability that incorporates not just the duration but also the degree of suitability across an average year
Source: Gething et al. Parasites & Vectors 2011, 4:92
See http://www.parasitesandvectors.com/content/4/1/92 and the Malaria Atlas Project for details.
Correspondence: peter.gething@zoo.ox.ac.uk. Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

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Vector

Anopheles_minimus_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RChttp://wrbu.si.edu Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-03-28
Information Withheld: No data
Spatial Resolution: 0.04degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: 0.05 omission
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 73
Environmental Layers: 59 layers reduced to 15 by PCA
Related Information: Foley, D.H., Rueda, L.M., Peterson, A.T. and Wilkerson, R.C. (2008). Potential distribution of two species in the medically important Anopheles minimus complex (Diptera: Culicidae). J. Med. Entomol. 45(5): 852-860.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_minimus_Foley_1
Global Unique Identifier: USNM:MosquitoModel: An_minimus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. minimus (161KB)

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Anopheles_harrisoni_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-03-28
Information Withheld: No data
Spatial Resolution: 0.04degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: 0.05 omission
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 42
Environmental Layers: 59 layers reduced to 15 by PCA
Related Information: Foley, D.H., Rueda, L.M., Peterson, A.T. and Wilkerson, R.C. (2008). Potential distribution of two species in the medically important Anopheles minimus complex (Diptera: Culicidae). J. Med. Entomol. 45(5): 852-860.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_harrisoni_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_harrisoni_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. harrisoni (161KB)

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Anopheles_sinensis_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 80
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_sinensis_Foley_1
Global Unique Identifier: USNM:MosquitoModel: An_sinensis_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. sinensis (282KB)

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Anopheles_ kleini_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Number Unique Points: 32
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_kleini_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_kleini_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. kleini (282KB)

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Anopheles_pullus_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Number Unique Points: 33
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_pullus_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_pullus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. pullus (282KB)

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Anopheles_belenrae_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 36
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_belenrae_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_belenrae_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. belenrae (282KB)

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Anopheles_lindesayi_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRAIR, Division of Entomology)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 9
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_lindesayi_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_lindesayi_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. lindesayi (282KB)

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Anopheles_koreicus_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 9
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_koreicus_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_koreicus_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. koreicus (282KB)

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Anopheles_lesteri_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 12
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_lesteri_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_lesteri_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. lesteri (282KB)

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Anopheles_sineroides_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH, Wilkerson RC
Submitter Email: wilkersonr@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2008-10-28
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Consensus by intersection of models by GARP (Desktop GARP 1.1.3, Scachetti-Pereira 2003) and Maxent 2.2.0 (Phillips 2006)
Layer Classes: 2
Threshold: lowest presence threshold
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 20
Environmental Layers: 86 layers reduced to 15 by PCA
Related Information: Foley, D.H., Klein, T.A., Kim, H-C., Sames W.J., Wilkerson R.C. and Rueda, L.M. The geographic distribution and ecology of potential malaria vectors in the Republic of Korea. J. Med. Entomol. 46: 680-692.
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_sineroides_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_sineroides_Foley_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An. sineroides (282KB)

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Culex-tritaeniorhynchus_Masuoka_1
Submitter Organization: Uniformed Services University of the Health Sciences
Submitter Website: http://www.usuhs.mil
Submitter Person: Masuoka, Penny and Grieco, John
Submitter Email: penny.masuoka.ctr@usuhs.edu and john.grieco@usuhs.edu
Submitter Address: USUHS, Dept of Preventive Medicine and Biometrics, 4301 Jones Bridge Road, MD 20814 USA
Date Last Modified: 2009-12-22
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Maxent model version 3.219 (Phillips 2006)
Layer Classes: na
Threshold: na
Value range: 0.00002 to 0.98 (Value of each pixel represents the probability of species occurrence in that pixel)
Number Unique Points: 96
Environmental Layers: 51 layers: Boston University's Land Cover derived from MODIS, sum of cropland pixels in 5x5 pixel area, WorldClim monthly precipitation, WorldClim monthly minimum temperature, WorldClim monthly maximum temperature, SPOT mean monthly NDVI, SRTM elevation
Related Information: Masuoka PM, Klein TA, Kim HC, Claborn DM, Achee N, Andre R, Chamberlin J, Small J, Anyamba A, Lee DK, Yi SH, Sardelis M, Ju YR, Grieco J. Modeling the distribution of Culex tritaeniorhynchus to Predict Japanese Encephalitis Distribution in the Republic of Korea. International Journal of Health Geographics (submitted).
Institution Code: USUHS
Collection Code: MosquitoModel
Catalog Number: Cx_tritaeniorhynchus_Masuoka_1
Global Unique Identifier: USUHS:MosquitoModel:Cx_tritaeniorhynchus_Masuoka_1
Projection/datum: GCS WGS84
Download ESRI files for Cx_tritaeniorhynchus (1166KB)

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Anopheles_quadrimaculatus_Benedict_1
Submitter Organization: No data
Submitter Website: No data
Submitter Person: Benedict, Q. Mark
Submitter Email: M.Benedict@iaea.org
Submitter Address: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
Date Last Modified: 2003-11-10
Information Withheld: No data
Spatial Resolution: 0.1degrees
Model Description: Desktop GARP
Layer Classes: 10
Threshold: na
Value range: na
Number Unique Points: 155
Environmental Layers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
Related Information: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
Institution Code: MMap
Collection Code: MosquitoModel
Catalog Number: An_quadrimaculatus_Benedict_1
Global Unique Identifier: MMap:MosquitoModel:An_quadrimaculatus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_quadrimaculatus_1 (640KB)

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Anopheles-maverlius_Benedict_1
Submitter Organization: No data
Submitter Website: No data
Submitter Person: Benedict, Q. Mark
Submitter Email: M.Benedict@iaea.org
Submitter Address: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
Date Last Modified: 2003-11-10
Information Withheld: No data
Spatial Resolution: 0.1degrees
Model Description: Desktop GARP
Layer Classes: 10
Threshold: na
Value range: na
Number Unique Points: 32
Environmental Layers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
Related Information: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
Institution Code: MMap
Collection Code: MosquitoModel
Catalog Number: An_maverlius_Benedict_1
Global Unique Identifier: MMap:MosquitoModel:An_maverlius_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_maverlius_1 (640KB)

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Anopheles-smaragdinus_Benedict_1
Submitter Organization: No data
Submitter Website: No data
Submitter Person: Benedict, Q. Mark
Submitter Email: M.Benedict@iaea.org
Submitter Address: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
Date Last Modified: 2003-11-10
Information Withheld: No data
Spatial Resolution: 0.1degrees
Model Description: Desktop GARP
Layer Classes: 10
Threshold: na
Value range: na
Number Unique Points: 44
Environmental Layers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
Related Information: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
Institution Code: MMap
Collection Code: MosquitoModel
Catalog Number: An_smaragdinus_Benedict_1
Global Unique Identifier: MMap:MosquitoModel:An_smaragdinus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_smaragdinus_1 (640KB)

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Anopheles-diluvialis_Benedict_1
Submitter Organization: No data
Submitter Website: No data
Submitter Person: Benedict, Q. Mark
Submitter Email: M.Benedict@iaea.org
Submitter Address: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
Date Last Modified: 2003-11-10
Information Withheld: No data
Spatial Resolution: 0.1degrees
Model Description: Desktop GARP
Layer Classes: 10
Threshold: na
Value range: na
Number Unique Points: No data
Environmental Layers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
Related Information: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
Institution Code: MMap
Collection Code: MosquitoModel
Catalog Number: An_diluvialis_Benedict_1
Global Unique Identifier: MMap:MosquitoModel:An_diluvialis_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_diluvialis_1 (640KB)

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Anopheles_inundatus_Benedict_1
Submitter Organization: No data
Submitter Website: No data
Submitter Person: Benedict, Q. Mark
Submitter Email: M.Benedict@iaea.org
Submitter Address: IAEA Agency's Laboratories/NAHU A-2444 Seibersdorf Austria
Date Last Modified: 2003-11-10
Information Withheld: No data
Spatial Resolution: 0.1degrees
Model Description: Desktop GARP
Layer Classes: 10
Threshold: na
Value range: na
Number Unique Points: No data
Environmental Layers: daily temperature range, precipitation, mean minimum temperature, mean maximum temperature, mean temperature, vapor pressure (obtained from the Intergovernmental Panel on Climate Change for the years 1961-1990), aspect, elevation, and slope.
Related Information: Levine, R. S., A. T. Peterson, and M. Q. Benedict. 2004. Distribution of Members of em>Anopheles quadrimaculatus Say s.l. (Diptera: Culicidae) and Implications for Their Roles in Malaria Transmission in the United States. Journal of Medical entomology 41(4):607-613.
Institution Code: MMap
Collection Code: MosquitoModel
Catalog Number: An_inundatus_Benedict_1
Global Unique Identifier: MMap:MosquitoModel:An_inundatus_Benedict_1
Projection/datum: GCS WGS84
Download .JPG files for An_inundatus_1 (640KB)

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Anopheles_arabiensis_Kulkarni_1
Submitter Organization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
Submitter Website: No data
Submitter Person: Kulkarni, MA
Submitter Email: manisha.kulkarniwoodstock@gmail.com
Submitter Address: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
Date Last Modified: 2009-11-20
Information Withheld: No data
Spatial Resolution: 30 metres (resampled to 1 km)
Model Description: Maximum Entropy (Maxent)
Layer Classes: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 20
Environmental Layers: precipitation seasonality, max temperature of warmest month, land cover, human population density, precipitation of warmest month, temperature annual range, temperature seasonality, precipitation of coldest month, altitude
Related Information: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
Institution Code: UO
Collection Code: MosquitoModel
Catalog Number: An_arabiensis_Kulkarni_1
Global Unique Identifier: UO:MosquitoModel:An_arabiensis_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An_arabiensis_1 (25KB)

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Anopheles_funestus_Kulkarni_1
Submitter Organization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
Submitter Website: No data
Submitter Person: Kulkarni, MA
Submitter Email: manisha.kulkarniwoodstock@gmail.com
Submitter Address: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
Date Last Modified: 2009-11-20
Information Withheld: No data
Spatial Resolution: 30 metres (resampled to 1 km)
Model Description: Maximum Entropy (Maxent)
Layer Classes: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 10
Environmental Layers: precipitation seasonality, max temperature of warmest month, land cover, human population density, temperature seasonality, altitude
Related Information: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
Institution Code: UO
Collection Code: MosquitoModel
Catalog Number: An_funestus_Kulkarni_1
Global Unique Identifier: UO:MosquitoModel:An_funestus_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI Grid files for An_funestus_1 (19KB)

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Anopheles_gambiae_Kulkarni_1
Submitter Organization: University of Ottawa, Canadian Facility for Ecoinformatics Research (CFER)
Submitter Website: No data
Submitter Person: Kulkarni, MA
Submitter Email: manisha.kulkarniwoodstock@gmail.com
Submitter Address: Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa K1N6N5, Canada
Date Last Modified: 2009-11-20
Information Withheld: No data
Spatial Resolution: 30 metres (resampled to 1 km)
Model Description: Maximum Entropy (Maxent)
Layer Classes: 2
Threshold: average predicted suitability of training records from ten model replicates
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 10
Environmental Layers: precipitation of coldest quarter, land cover, altitude, max temperature of coldest month, annual precipitation, mean temperature of warmest quarter, max temperature of warmest month, precipitation of driest quarter, precipitation of warmest quarter, human population density
Related Information: Kulkarni MA, Desrochers RE and Kerr JT (2010) High resolution niche models of malaria vectors in Tanzania: A new capacity to predict malaria risk? PLoS ONE 5(2): e9396
Institution Code: UO
Collection Code: MosquitoModel
Catalog Number: An_gambiae_Kulkarni_1
Global Unique Identifier: UO:MosquitoModel:An_gambiae_Kulkarni_1
Projection/datum: GCS WGS84
Download ESRI image files for An_gambiae_1 (10KB)

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Anopheles aconitus_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 93 for training, 31 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_aconitus_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_aconitus_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_aconitus_1 (43KB)

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Anopheles annularis_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 105 for training, 34 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_annularis_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_annularis_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_annularis_1 (40KB))

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Anopheles barbirostris s.l._Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 90 for training, 29 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_barbirostris_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_barbirostris_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_barbirostris_sl_1 (48KB)

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Anopheles culicifacies_sl_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 72 for training, 23 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_culicifacies_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_culicifacies_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_culicifacies_sl_1 (66KB))

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Anopheles dirus_sl_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 126 for training, 42 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_dirus_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_dirus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_dirus_sl_1 (76KB)

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Anopheles flavirostris_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 17 for training, 5 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_flavirostris_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_flavirostris_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_flavirostris_1 (18KB)

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Anopheles fluviatilis_sl_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 33 for training, 10 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_fluviatilis_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_fluviatilis_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_fluviatilis_sl_1 (39KB

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Anopheles lesteri_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 16 for training, 5 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_lesteri_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_lesteri_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_lesteri_1 (20KB)

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Anopheles maculatus_sl_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 111 for training, 37 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_maculatus_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_maculatus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_maculatus_sl_1 (42KB)

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Anopheles sinensis_Foley_2
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 204 for training, 67 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_sinensis_Foley_2
Global Unique Identifier: USNM:MosquitoModel:An_sinensis_Foley_2
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_sinensis_2 (105KB)

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Anopheles subpictus_sl_Foley_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2010-09-21
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Model Description: Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1 (Value of each pixel represents probability of absence (0) or presence (1) of species occurrence in that pixel)
Number Unique Points: 65 for training, 21 for testing
Environmental Layers: alt bio_1 bio_10 bio_11 bio_12 bio_13 bio_14 bio_15 bio_16 bio_17 bio_18 bio_19 bio_2 bio_3 bio_4 bio_5 bio_6 bio_7 bio_8 bio_9 h_aspect h_flowacc h_flowdir h_slope h_topoind hwsd(categorical)
Related Information: To reduce spatial autocorrelation, only points more than 20 km apart were used
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_subpictus_sl_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_subpictus_sl_Foley_1
Projection/datum: GCS WGS84
Download ESRI grid, MaxEnt html, and point input data (.cvs) files for An_subpictus_sl_1 (50KB)

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Aedes aegypti_Nyari_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Nyari A, Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2011-07-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 84.6619996391
Extent Left: -180.008879813
Extent Right: 182.158076587
Extent Bottom: -58.2547813609
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
Number Unique Points: 107 for training, 35 for testing
Environmental Layers Used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1
Related Information: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 15 layers used. Models were run with 11 BioClim variables (1,2,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: Ae_aegypti_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_aegypti_Nyari_1
Projection/datum: GCS WGS84
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Download MaxEnt point input data (.cvs)

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Aedes lineatopennis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_lineatopennis_Nyari_1
For details see Aedes aegypti_Nyari_1
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Download MaxEnt point input data (.cvs)

Aedes polynesiensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_polynesiensis_Nyari_1
For details see Aedes aegypti_Nyari_1
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Download MaxEnt point input data (.cvs)

Aedes vexans_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_vexans_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
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Download MaxEnt point input data (.cvs)

Anopheles claviger_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_claviger_Nyari_1
For details see Aedes aegypti_Nyari_1
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Download MaxEnt point input data (.cvs)

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Anopheles messeae_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_messeae_Nyari_1
For details see Aedes aegypti_Nyari_1
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Download MaxEnt point input data (.cvs)

Culex bitaeniorhynchus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_bitaeniorhynchus_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
Download MaxEnt output
Download MaxEnt point input data (.cvs)

Culex quinquefasciatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_quinquefasciatus_Nyari_1
For details see Aedes aegypti_Nyari_1
Download ESRI grid continuous above
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Download MaxEnt point input data (.cvs)

Culex tritaeniorhynchus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_tritaeniorhynchus_Nyari_1
For details see Aedes aegypti_Nyari_1
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Aedes africanus_Nyari_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Nyari A, Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2011-07-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 37.827269672656
Extent Left: -25.835856153125
Extent Right: 59.955879146875
Extent Bottom: -37.464457227344
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
Number Unique Points: 53 for training, 17 for testing
Environmental Layers: bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1 hwsd)
Related Information: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: Ae_africanus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_africanus_Nyari_1
Projection/datum: GCS WGS84
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Download MaxEnt point input data (.cvs)

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Aedes luteocephalus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_luteocephalus_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Aedes simpsoni_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_simpsoni_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles arabiensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_arabiensis_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles gambiae s.l._Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_gambiae_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles hancocki_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_hancocki_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles hargreavesi_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_hargreavesi_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles coustani_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_coustani_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles melas_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_melas_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles merus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_merus_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles moucheti_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_moucheti_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Anopheles quadriannulatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_quadriannulatus_Nyari_1
For details see Aedes africanus_Nyari_1
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Download MaxEnt point input data (.cvs)

Culex poicilipes_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_poicilipes_Nyari_1
For details see Aedes africanus_Nyari_1
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Aedes albopictus_Nyari_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Nyari A, Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2011-07-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 64.166521047439
Extent Left: 60.619383261112
Extent Right: 165.952800861112
Extent Bottom: -18.833545352561
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: Continuous
Threshold: minimum training presence
Value range: 109, 997 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
Number Unique Points: 109 for training, 36 for testing
Environmental Layers: bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_2 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1 hwsd)
Related Information: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: Ae_albopictus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_albopictus_Nyari_1
Projection/datum: GCS WGS84
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Anopheles_aconitus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_aconitus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_baimaii_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_baimaii_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_barbirostris_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_barbirostris_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_belenrae_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_belenrae_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_campestris_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_campestris_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_culicifacies_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_culicifacies_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_dirus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_dirus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_karwari_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_karwari_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_kleini_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_kleini_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_koreicus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_koreicus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_lesteri_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_lesteri_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_maculatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_maculatus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_minimus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_minimus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_nigerrimus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_nigerrimus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_nivipes_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_nivipes_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_peditaeniatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_peditaeniatus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_philippinensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_philippinensis_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_pullus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_pullus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_sinensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_sinensis_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_sineroides_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_sineroides_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_subpictus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_subpictus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_sundaicus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_sundaicus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_tessellatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_tessellatus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_vagus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_vagus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_varuna_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_varuna_Nyari_1
For details see Aedes albopictus_Nyari_1
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Culex_ fuscocephala_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_fuscocephala_Nyari_1
For details see Aedes albopictus_Nyari_1
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Culex_gelidus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_gelidus_Nyari_1
For details see Aedes albopictus_Nyari_1
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Culex_pseudovishnui_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_pseudovishnui_Nyari_1
For details see Aedes albopictus_Nyari_1
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Culex_vishnui_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_vishnui_Nyari_1
For details see Aedes albopictus_Nyari_1
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Anopheles_albimanus_Nyari_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Nyari A, Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2011-07-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 32.833405543424
Extent Left: -116.37982585915
Extent Right: -33.29642605915
Extent Bottom: -57.291666556576
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: Continuous
Threshold: minimum training presence
Value range: 46, 999 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
Number Unique Points: 198 for training, 65 for testing
Environmental Layers Used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_flowacc h_slope h_topoind
Related Information: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: An_albimanus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_albimanus_Nyari_1
Projection/datum: GCS WGS84
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Anopheles_albitarsis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_aquasalis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_aquasalis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_argyritarsis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_argyritarsis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_braziliensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_braziliensis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_crucians_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_crucians_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_darlingi_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_darlingi_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_neivai_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_neivai_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_nuneztovari_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_nuneztovari_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_oswaldoi_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_oswaldoi_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_pseudopunctipennis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_pseudopunctipennis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_punctimacula_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_punctimacula_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_triannulatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_triannulatus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Anopheles_vestitipennis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_vestitipennis_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Haemagogus_janthinomys_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Hg_janthinomys_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Haemagogus_leucocelaenus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Hg_leucocelaenus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Sabethes_chloropterus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Sa_chloropterus_Nyari_1
For details see Anopheles_albimanus_Nyari_1
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Aedes_palpalis_Nyari_1
Submitter Organization: Walter Reed Biosystematics Unit (WRBU)
Submitter Website: http://wrbu.si.edu
Submitter Person: Nyari A, Foley DH
Submitter Email: foleydes@si.edu
Submitter Address: Walter Reed Biosystematics Unit MSC MRC534 Smithsonian Institution 4210 Silver Hill Rd Suitland MD 20746 USA
Date Last Modified: 2011-07-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 19.64637878125
Extent Left: 91.511433885938
Extent Right: 183.594840885938
Extent Bottom: -51.85367841875
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: Continuous
Threshold: minimum training presence
Value range: 83, 991 (Value of each pixel represents probability (x10) of species occurrence in that pixel)
Number Unique Points: 33 for training, 11 for testing
Environmental Layers Used (all continuous): bio_1 bio_12 bio_13 bio_14 bio_15 bio_19 bio_4 bio_5 bio_6 bio_9 h_aspect h_dem h_slope hwsd1
Related Information: Ocurrence points were scrutinized in ArcMap. Points falling outside known countries of occurrence were trimmed from the dataset. After all species were verified, a merged dataset was created in ArcMap by merging all points for a region (Data Management Tools/General/Merge). Bioclim variables: total of 16 layers used. Models were run with 10 BioClim variables (1,4,5,6,9,12,13,14,15,19), h_aspect, h_dem, h_flowacc, h_slope, h_topoind, and Harmonized World Soils Database. Continental Australia lacks 3 hydro1k layers (h_topoind, h_flowacc, h_flowdir) for maxent runs done in Australo_Papua, Asia_Pacific and Global. All 16 variables were clipped by region via mask (Spatial Analyst Tools/Extraction/Extract by Mask). Raster versions of the clipped datasets were converted to ASCII (Conversion Tools/Raster to ASCII). MaxEnt model parameters: model specs were: 1000 iterations, 25% random testpoints, minimum training presence threshold applied. Map post processing: ASCII files were converted to Raster with floating output type (Conversion Tools/To Raster/ASCII to Raster). Each floating raster was then transformed into integer categories by multiplying each value by 1000. Gradient color of increasing omission was applied (yellow-red)
Institution Code: USNM
Collection Code: MosquitoModel
Catalog Number: Ae_palpalis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_palpalis_Nyari_1
Projection/datum: GCS WGS84
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Aedes_scutellaris_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ae_scutellaris_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles_annulipes_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_annulipes_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles_bancroftii_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_bancroftii_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles_farauti_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_farauti_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles_koliensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_koliensis_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles_punctulatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_punctulatus_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Culex_annulirostris_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_annulirostris_Nyari_1
For details see Aedes_palpalis_Nyari_1
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Anopheles multicolor_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_multicolor_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles nili_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_nili_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles pharoensis_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_pharoensis_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles sergentii_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:An_sergentii_Nyari_1
For details see Aedes africanus_Nyari_1
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Culex antennatus_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Cx_antennatus_Nyari_1
For details see Aedes africanus_Nyari_1
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Mansonia africana_Nyari_1
Global Unique Identifier: USNM:MosquitoModel:Ma_africana_Nyari_1
For details see Aedes africanus_Nyari_1
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Anopheles_funestus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_funestus_Dornak_1
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Culex_univittatus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_univittatus_Dornak_1
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Anopheles_flavirostris_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_flavirostris_Dornak_1
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Aedes_poicilius_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_poicilius_Dornak_1
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Armigeres_subalbatus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ar_subalbatus_Dornak_1
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Aedes_kochi_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_kochi_Dornak_1
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Aedes_normanensis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_normanensis_Dornak_1
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Aedes_vigilax_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_vigilax_Dornak_1
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Aedes_dorsalis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_dorsalis_Dornak_1
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Aedes_melanimon_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_melanimon_Dornak_1
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Aedes_triseriatus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_triseriatus_Dornak_1
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Aedes_trivittatus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_trivittatus_Dornak_1
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Coquillettidia_perturbans_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cq_perturbans_Dornak_1
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Culiseta_inornata_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cs_inornata_Dornak_1
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Culiseta_morsitans_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cs_morsitans_Dornak_1
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Culex_erythrothorax_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_erythrothorax_Dornak_1
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Culex_restuans_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_restuans_Dornak_1
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Culex_tarsalis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_tarsalis_Dornak_1
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Anopheles_maculipennis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_maculipennis_Dornak_1
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Anopheles_sacharovi_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ma_africana_Nyari_1
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Anopheles_superpictus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_superpictus_Dornak_1
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Culex_theileri_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_theileri_Dornak_1
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Aedes_angustivittatus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_angustivittatus_Dornak_1
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Aedes_fluviatilis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_fluviatilis_Dornak_1
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Aedes_scapularis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_scapularis_Dornak_1
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Aedes_taeniorhynchus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_taeniorhynchus_Dornak_1
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Culex_nigripalpus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_nigripalpus_Dornak_1
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Culex_spissipes_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_spissipes_Dornak_1
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Culex_taeniopus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_taeniopus_Dornak_1
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Mansonia_titillans_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ma_titillans_Dornak_1
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Psorophora_ferox_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ps_ferox_Dornak_1
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Trichoprosopon_digitatum_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Tr_digitatum_Dornak_1
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Aedes_albopictus_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_albopictus_Dornak_1
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Culex_pipiens_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_pipiens_Dornak_1
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Culex_sitiens_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_sitiens_Dornak_1
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Culex_sitiens_Dornak_2
Global Unique Identifier: USNM:MosquitoModel:Cx_sitiens_Dornak_2
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Mansonia_uniformis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ma_uniformis_Dornak_1
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Anopheles_cruzii_Laporta_1
Global Unique Identifier: FSP-USP:MosquitoModel:An_cruzii_Laporta_1
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Anopheles_marajoara_Laporta_1
Global Unique Identifier: FSP-USP:MosquitoModel:An_marajoara_Laporta_1
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Anopheles_bellator_Laporta_1
Global Unique Identifier: FSP-USP:MosquitoModel:An_bellator_Laporta_1
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Aedes canadensis_Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_canadensis_Dornak_1
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Aedes assamensis _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_assamensis_Dornak_1
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Aedes circumluteolus _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_circumluteolus_Dornak_1
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Aedes dalzieli _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_dalzieli_Dornak_1
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Aedes ochraceus _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_ochraceus_Dornak_1
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Aedes stokesi _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ae_stokesi_Dornak_1
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Anopheles dthali _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_dthali_Dornak_1
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Anopheles flavicosta _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_flavicosta_Dornak_1
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Anopheles hyrcanus _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_hyrcanus_Dornak_1
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Anopheles rivulorum _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_rivulorum_Dornak_1
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Anopheles stephensi _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_stephensi_Dornak_1
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Anopheles walkeri _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_walkeri_Dornak_1
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Anopheles wellcomei _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_wellcomei_Dornak_1
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Coquillettidia crassipes _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cq_crassipes_Dornak_1
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Coquillettidia venezuelensis _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cq_venezuelensis_Dornak_1
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Culex ocossa _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_ocossa_Dornak_1
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Culex perexiguus _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_perexiguus_Dornak_1
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Culex vomerifer _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_vomerifer_Dornak_1
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Culex vomerifer _Dornak_2
Global Unique Identifier: USNM:MosquitoModel:Cx_vomerifer_Dornak_2
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Mansonia dives _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ma_dives_Dornak_1
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Culex portesi _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_portesi_Dornak_1
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Culiseta annulata _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cu_annulata_Dornak_1
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Anopheles deaneorum _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_deaneorum_Dornak_1
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Anopheles marajoara _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_marajoara_Dornak_1
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Anopheles punctipennis _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_punctipennis_Dornak_1
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Anopheles freeborni _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_freeborni_Dornak_1
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Uranotaenia annulata _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Ur_annulata_Dornak_1
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Anopheles quadrimaculatus _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:An_quadrimaculatus_Dornak_1
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Culex bonneae _Dornak_1
Global Unique Identifier: USNM:MosquitoModel:Cx_bonneae_Dornak_1
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Anopheles albimanus_Fuller_1
Global Unique Identifier: UMI:MosquitoModel:An_albimanus_Fuller_1
Submitter Organization: Department of Geography and Regional Studies, University of Miami
Submitter Website: http://www.as.miami.edu/geography/
Submitter Person: Fuller, D.O.
Submitter Email: dofuller@miami.edu
Submitter Address: Department of Geography and Regional Studies, University of Miami, Miami, FL, USA
Date Last Modified: 2012-06-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 30.6249943557
Extent Left: -110.2916015
Extent Right: -58.6666073
Extent Bottom: 6.7916637
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1
NoDataValue: 0
Projection/datum: GCS WGS84
Number Unique Points: 314 for training, 36 for testing
Environmental Layers Used: climate layers from the WorldClim database (http://www.worldclim.org) gridded to 2.5 arc-minute (~8 km) resolution and topography data from derived from the Shuttle Radar Topography Mission (available through the Global Land Cover Facility, http://glcf.umiacs.umd.edu)
Related Information: Predicted distribution of Anopheles albimanus in the near-present using Maxent. Douglas O Fuller, Martha L Ahumada, Martha L Quinones, Socrates Herrera, John C Beier. (2012). Near-present and future distribution of Anopheles albimanus in Mesoamerica and the Caribbean Basin modeled with climate and topographic data. International Journal of Health Geographics 2012, 11:13. Figure 4
Institution Code: UMI
Collection Code: MosquitoModel
Catalog Number: An_albimanus_Fuller_1
Global Unique Identifier: UMI:MosquitoModel:An_albimanus_Fuller_1

Anopheles albimanus_Fuller_2
Global Unique Identifier: UMI:MosquitoModel:An_albimanus_Fuller_2
Submitter Organization: Department of Geography and Regional Studies, University of Miami
Submitter Website: http://www.as.miami.edu/geography/
Submitter Person: Fuller, D.O.
Submitter Email: dofuller@miami.edu
Submitter Address: Department of Geography and Regional Studies, University of Miami, Miami, FL, USA
Date Last Modified: 2012-06-27
Information Withheld: No data
Spatial Resolution: 0.04167degrees
Extent Top: 30.6249943557
Extent Left: -110.2916015
Extent Right: -58.6666073
Extent Bottom: 6.7916637
Model Description: Maximum entropy - Maxent 3.2.1 (Phillips 2006)
Layer Classes: 2
Threshold: minimum training presence
Value range: 0, 1
NoDataValue: 0
Projection/datum: GCS WGS84
Number Unique Points: 314 for training, 36 for testing
Environmental Layers Used: climate layers from the WorldClim database (http://www.worldclim.org) gridded to 2.5 arc-minute (~8 km) resolution and topography data from derived from the Shuttle Radar Topography Mission (available through the Global Land Cover Facility, http://glcf.umiacs.umd.edu)
Related Information: Predicted distribution of Anopheles albimanus in 2080 using Maxent. Douglas O Fuller, Martha L Ahumada, Martha L Quinones, Socrates Herrera, John C Beier. (2012). Near-present and future distribution of Anopheles albimanus in Mesoamerica and the Caribbean Basin modeled with climate and topographic data. International Journal of Health Geographics 2012, 11:13. Figure 4
Institution Code: UMI
Collection Code: MosquitoModel
Catalog Number: An_albimanus_Fuller_2
Global Unique Identifier: UMI:MosquitoModel:An_albimanus_Fuller_2

Culex tritaeniorhynchus Miller_1
Submitter Organization: Uniformed Services University of the Health Sciences
Submitter Website: http://www.usuhs.mil
Submitter Person: Miller, Robin, Masuoka, Penny, and Grieco, John
Submitter Email: robin.miller@usuhs.edu, penny.masuoka.ctr@usuhs.edu, and john.grieco@usuhs.edu
Submitter Address: USUHS, Dept of Preventive Medicine and Biometrics, 4301 Jones Bridge Road, MD 20814 USA
Date Last Modified: 2012-01-08
Information Withheld: No data
Spatial Resolution: 0.0083degrees
Model Description: Maxent model version 3.2.1 (Phillips 2006)
Layer Classes: na
Threshold: na
Value range: 0.00000000000016 to 0.99 (Value of each pixel represents the estimated probability of species occurrence in that pixel)
Number Unique Points: 139
Environmental Layers: WorldClim bioclimatic variables (approximately 1-km resolution), SRTM elevation downloaded from WorldClim www.worldclim.org
Related Information: Miller RH, Masuoka P, Klein TA, Kim H-C, Somer T, et al. (2012) Ecological Niche Modeling to Estimate the Distribution of Japanese Encephalitis Virus in Asia. PLoS Negl Trop Dis 6(6):e1678. doi:10.1371/journal.pntd.0001678
Institution Code: USUHS
Collection Code: MosquitoModel
Catalog Number: Cx_tritaeniorhynchus_Miller_1
Global Unique Identifier: USUHS:MosquitoModel:Cx_tritaeniorhynchus_Miller_1
Projection/datum: GCS WGS84
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Ae_albopictus_(2000-2009)_Proestos_1
Global Unique Identifier: CaSToRC:MosquitoModel:Ae_albopictus_Proestos_1
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Ae_albopictus_(2045-2054)_Proestos_2
Global Unique Identifier: CaSToRC:MosquitoModel:Ae_albopictus_Proestos_2
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An_albitarsis_ss_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_ss_Foley_1
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Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_albitarsis_F_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_F_Foley_1
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Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_albitarsis_G_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_G_Foley_1
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Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_albitarsis_H_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_H_Foley_1
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Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_albitarsis_I_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_albitarsis_I_Foley_1
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Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_deaneorum_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_deaneorum_Foley_1
Download ASCII and MAXENT Input and Output
Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_janconnae_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_janconnae_Foley_1
Download ASCII and MAXENT Input and Output
Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Based on: Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_marajoara_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_marajoara_Foley_1
Download ASCII and MAXENT Input and Output
Based on: Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

An_oryzalimnetes_Foley_1
Global Unique Identifier: USNM:MosquitoModel:An_oryzalimnetes_Foley_1
Download ASCII and MAXENT Input and Output
Foley, D. H., Linton, Y.-M., Ruiz-Lopez, J. F., Conn, J. E., Sallum, M. A. M., Povoa, M. M., Bergo, E. S., Oliveira, T. M. P., Sucupira, I. and Wilkerson, R. C. (2014), Based on: Geographic distribution, evolution, and disease importance of species within the Neotropical Anopheles albitarsis Group (Diptera, Culicidae). Journal of Vector Ecology, 39: 168–181. doi: 10.1111/j.1948-7134.2014.12084.x

Aedes_aegypti_Samson_1
Global Unique Identifier: UMMSM:MosquitoModel:Ae_aegypti_Samson_1
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Based on: Samson, D. M., Archer, R. S., Alimi, T. O., Arheart, K. L., Impoinvil, D. E., Oscar, R., Fuller, D. O. and Qualls, W. A. (2015), New baseline environmental assessment of mosquito ecology in northern Haiti during increased urbanization. Journal of Vector Ecology, 40: 46–58. doi: 10.1111/jvec.12131

Aedes_albopictus_Samson_1
Global Unique Identifier: UMMSM:MosquitoModel:Ae_albopictus_Samson_1
Download ASCII and MAXENT Input and Output
Based on: Samson, D. M., Archer, R. S., Alimi, T. O., Arheart, K. L., Impoinvil, D. E., Oscar, R., Fuller, D. O. and Qualls, W. A. (2015), New baseline environmental assessment of mosquito ecology in northern Haiti during increased urbanization. Journal of Vector Ecology, 40: 46–58. doi: 10.1111/jvec.12131

Culex_quinquefasciatus_Samson_1
Global Unique Identifier: UMMSM:MosquitoModel:Cx_quinquefasciatus_Samson_1
Download ASCII and MAXENT Input and Output
Based on: Samson, D. M., Archer, R. S., Alimi, T. O., Arheart, K. L., Impoinvil, D. E., Oscar, R., Fuller, D. O. and Qualls, W. A. (2015), New baseline environmental assessment of mosquito ecology in northern Haiti during increased urbanization. Journal of Vector Ecology, 40: 46–58. doi: 10.1111/jvec.12131

Aedes furcifer_Foley_1
Global Unique Identifier: USNM:MosquitoModel:Ae_furcifer_Foley_1
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Aedes luteocephalus_Foley_1
Global Unique Identifier: USNM:MosquitoModel:Ae_luteocephalus_Foley_1
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Armigeres subalbatus_Foley_1
Global Unique Identifier: Ar_subalbatus_Foley_1
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Aedes niveus Complex_Foley_1
Global Unique Identifier: Ae_niveus_Complex_Foley_1
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Monthly_Aedes_suitability_maps_Kraemer_1-24
Global Unique Identifier: Monthly_Aedes_suitability_maps_Kraemer_1-24

Citations:
- https://elifesciences.org/content/4/e08347 - Faria N.R,, J. Quick, I.M. Claro, J. Theze, J. G. de Jesus, M. Giovanetti, M. U. G. Kraemer, S. C. Hill, A. Black, A. C. da Costa, L. C. Franco, S. P. Silva, C.H. Wu, J. Raghwani, S. Cauchemez, L. du Plessis, M. P. Verotti, W. K. de Oliveira, E. H. Carmo, G. E. Coelho, A. C. F. S. Santelli, L. C. Vinhal, C. M. Henriques, J. T. Simpson, M. Loose et al. (2017). Establishment and cryptic transmission of Zika virus in Brazil and the Americas. Nature (2017). doi:10.1038/nature22401. http://www.nature.com/nature/journal/v546/n7658/full/nature22401.html
- Bogoch II, Brady OJ, Kraemer MU, German M, Creatore MI, Brent S, Watts AG, Hay SI, Kulkarni MA, Brownstein JS, Khan K.(2016). Potential for Zika virus introduction and transmission in resource-limited countries in Africa and the Asia-Pacific region: a modelling study. Lancet Infect Dis. 2016 Nov;16(11):1237-1245. doi: 10.1016/S1473-3099(16)30270-5. Epub 2016 Sep 1.PMID: 27593584 https://scholar.google.com/scholar?oi=bibs&cluster=14778956785482312835&btnI=1&hl=en

Aegypti_Aprnormal
Aegypti_Augnormal
Aegypti_Decnormal
Aegypti_Febnormal
Aegypti_Jannormal
Aegypti_Julnormal
Aegypti_Junnormal
Aegypti_Marnormal
Aegypti_Maynormal
Aegypti_Novnormal
Aegypti_Octnormal
Aegypti_Sepnormal
Albopictus_Aprnormal
Albopictus_Augnormal
Albopictus_Decnormal
Albopictus_Febnormal
Albopictus_Jannormal
Albopictus_Julnormal
Albopictus_Junnormal
Albopictus_Marnormal
Albopictus_Maynormal
Albopictus_Novnormal
Albopictus_Octnormal
Albopictus_Sepnormal

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