cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12819571
title: MOOD_2019_SurfaceWater_PROBA_1k

description: PROBA V 2019 Permanent and Seasonal water 1km. 

Abstract: 

These layers were extracted for the MOOD extent from the Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, Martin Herold, & Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (V3.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3939050). 

Several kilometre resolution derivatives have been produced from the original 100m resolution dataset for seasonal and permanent water categories: 

 

File naming scheme:  Distance to permanent or seasonal water (erprobapermseaswatdistm1kmll.tif); 

Percentage of seasonal water (erprobavLLC2019pcseaswat1km.tif);

Percentage of permanent water (erprobavLLC2019pcpermwat1km.tif) Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Temporal resolution:seasonal and permament 

Pixel values:Meter and Percentage

Source: The Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.15468/dl.f3mfxp
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.107363 -36.196074, 147.107363 -36.200566, 147.109609 -36.200566, 147.109609 -36.205058, 147.1141 -36.205058, 147.1141 -36.207303, 147.109609 -36.207303, 147.109609 -36.211795, 147.111854 -36.211795, 147.111854 -36.214041, 147.125329 -36.214041, 147.125329 -36.211795, 147.120838 -36.211795, 147.120838 -36.202812, 147.1141 -36.202812, 147.1141 -36.187091, 147.111854 -36.187091, 147.111854 -36.178108, 147.116346 -36.178108, 147.116346 -36.187091, 147.120838 -36.187091, 147.120838 -36.160142, 147.129821 -36.160142, 147.129821 -36.153404, 147.138804 -36.153404, 147.138804 -36.1287, 147.129821 -36.1287, 147.129821 -36.135438, 147.120838 -36.135438, 147.120838 -36.153404, 147.105117 -36.153404, 147.105117 -36.169125, 147.09838 -36.169125, 147.09838 -36.173616, 147.096134 -36.173616, 147.096134 -36.175862, 147.091642 -36.175862, 147.091642 -36.178108, 147.089396 -36.178108, 147.089396 -36.184845, 147.091642 -36.184845, 147.091642 -36.187091, 147.09838 -36.187091, 147.09838 -36.184845, 147.100625 -36.184845, 147.100625 -36.1826, 147.105117 -36.1826, 147.105117 -36.178108, 147.109609 -36.178108, 147.109609 -36.187091, 147.107363 -36.187091, 147.107363 -36.191583, 147.111854 -36.191583, 147.111854 -36.196074, 147.107363 -36.196074), (147.111854 -36.211795, 147.111854 -36.209549, 147.116346 -36.209549, 147.116346 -36.211795, 147.111854 -36.211795), (147.111854 -36.164633, 147.116346 -36.164633, 147.116346 -36.169125, 147.111854 -36.169125, 147.111854 -36.164633), (147.107363 -36.171371, 147.111854 -36.171371, 147.111854 -36.175862, 147.107363 -36.175862, 147.107363 -36.171371)), ((147.107363 -36.196074, 147.107363 -36.191583, 147.105117 -36.191583, 147.105117 -36.193829, 147.102871 -36.193829, 147.102871 -36.196074, 147.107363 -36.196074)))"
 ]
}

 The dataset includes 38 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049071-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64sjbe
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mammillaria neopalmeri R.T.Craig)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 22 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049073-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfabcj
title: Occurrence Download

description: A dataset containing 71427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gomphocerippus rufus (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71427 records from 925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049069-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12819564
title: MOOD_2020_StandardMapping_AnalysisPolygons

description: MOOD standard Mapping and Analysis polygons. 

Abstract: 

Standard extents and polygons were defined at the start of the MOOD project. There sets of standatd geographies are provided:  a) A series of decimal degree grids (0.05, 0.1, 0.2, 0.5 ) in moodgrids.zip  b) raster extents in EPRS ( molandmasketrslaeaepsg3035.tif) and geographic projection (molatlonglandmask.tif) in moodpolygonsjanmasks21.zip; and  c) standard Administrative unit Polygons adopted from the Vectornet Project : one with relatively equal sized units designed for mapping (vectornetMAPforMOODjan21.shp) and one more suited to analysing and entering data recorded by admin unit that has consistent NITS 3 or Gaul 2 polygons (VectornetDATAforMOODjan21.shp) also in moodpolygonsjanmasks21.zip

 Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:-73.2634658809999451,18.9632860000000392 : 69.0703202920000763,83.6274185180000700Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819565
title: MOOD_2020_StandardMapping_AnalysisPolygons

description: MOOD standard Mapping and Analysis polygons. 

Abstract: 

Standard extents and polygons were defined at the start of the MOOD project. There sets of standatd geographies are provided:  a) A series of decimal degree grids (0.05, 0.1, 0.2, 0.5 ) in moodgrids.zip  b) raster extents in EPRS ( molandmasketrslaeaepsg3035.tif) and geographic projection (molatlonglandmask.tif) in moodpolygonsjanmasks21.zip; and  c) standard Administrative unit Polygons adopted from the Vectornet Project : one with relatively equal sized units designed for mapping (vectornetMAPforMOODjan21.shp) and one more suited to analysing and entering data recorded by admin unit that has consistent NITS 3 or Gaul 2 polygons (VectornetDATAforMOODjan21.shp) also in moodpolygonsjanmasks21.zip

 Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:-73.2634658809999451,18.9632860000000392 : 69.0703202920000763,83.6274185180000700Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819552
title: MOOD_2020_Worldpop_HumanPopulation_Age_Gender

description: Worldpop Human 2020 population by Age and Gender. 

Abstract:

Human population estimates per pixel were extracted from MOOD partner Worldpop (www.worldpop.org) datasets for the MOOD extent. Gender age categories were summed to provide datasets for all males, all females, and the total population. 

 

File naming scheme:  

Filenames are as follows (MOWPGGGRRYY-OOCog.TIF where GGG =-gender (male = MAL, female = FEM), both = TOT); RR = Greater than (gt) or Less than (lt); YY = mimimum age; OO= Maximum age

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999995960000092,81.9999997120000046

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Temporal resolution:  The year 2020

Pixel values:Human population estimates per pixel 

Source: Worldpop (www.worldpop.org) datasets

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819553
title: MOOD_2020_Worldpop_HumanPopulation_Age_Gender

description: Worldpop Human 2020 population by Age and Gender. 

Abstract:

Human population estimates per pixel were extracted from MOOD partner Worldpop (www.worldpop.org) datasets for the MOOD extent. Gender age categories were summed to provide datasets for all males, all females, and the total population. 

 

File naming scheme:  

Filenames are as follows (MOWPGGGRRYY-OOCog.TIF where GGG =-gender (male = MAL, female = FEM), both = TOT); RR = Greater than (gt) or Less than (lt); YY = mimimum age; OO= Maximum age

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)Spatial extent:Extent  -32.0000000000000000,10.0000000000000000 : 68.9999995960000092,81.9999997120000046

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Temporal resolution:  The year 2020

Pixel values:Human population estimates per pixel 

Source: Worldpop (www.worldpop.org) datasets

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819239
title: 2021_2022_MonthlyDistribution_WaterBodies

description: Monthly water bodies for WNV modelling, August 21 - Sept 22. 

Abstract: 

300m (0.00025 deg) resolution raster datasets for monthly water body presence (Aug 21 to Sept 22) were extracted for the MOOD spatial extent from global data provided by the Copernicus Global Land Service (https://land.copernicus.eu/global/products/wb). These data were produced by the Sentinel 2 satellite. 

 

File naming scheme:  Details of data production are provided in the accompanying file CGLOPS2_PUM_WB300m_V2_I1.10.tif

mowatbod+ Month+Year  for example for July 2021: mowatbodjul21

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent  -32.0000000000018474,18.0000000000007603 : 68.9999999999969162,79.9999999999999858

Spatial resolution:0.002499999 deg (approx. 300 m)  

Temporal resolution:Monthly

Pixel values: Unit: meter

Source: the Copernicus Global Land Service (https://land.copernicus.eu/global/products/wb)

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12819240
title: 2021_2022_MonthlyDistribution_WaterBodies

description: Monthly water bodies for WNV modelling, August 21 - Sept 22. 

Abstract: 

300m (0.00025 deg) resolution raster datasets for monthly water body presence (Aug 21 to Sept 22) were extracted for the MOOD spatial extent from global data provided by the Copernicus Global Land Service (https://land.copernicus.eu/global/products/wb). These data were produced by the Sentinel 2 satellite. 

 

File naming scheme:  Details of data production are provided in the accompanying file CGLOPS2_PUM_WB300m_V2_I1.10.tif

mowatbod+ Month+Year  for example for July 2021: mowatbodjul21

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent  -32.0000000000018474,18.0000000000007603 : 68.9999999999969162,79.9999999999999858

Spatial resolution:0.002499999 deg (approx. 300 m)  

Temporal resolution:Monthly

Pixel values: Unit: meter

Source: the Copernicus Global Land Service (https://land.copernicus.eu/global/products/wb)

Software used:The software used for map production is ESRI ArcMap 10.8

License: CC-BY-SA 4.0Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12799446
title: 2021_HPAI_AvianHost_DistributionIndices

description: Weighted Index and formatted distribution data for HPAI hosts. 

Abstract: 

A series of descriptive metrics were produced as host distribution indices for use as covariates in HPAI spatial modelling. The following bird species were included. For each, disptribution maps were extracted from the Birdlife International datasets and idvidual ratster images were produced for breeding, passage, resident and passage distributions.  Anas crecca, Anas penelope, Anal platyrhynchos, Anser anser, Aytha fuligula, Bucephala clangula, Cygnus color, Cygnus cygnus, Mareca penelope, Mareca strepera,  Combination images for all species were also produced , each giving the number of species per pixel for each category ( Anatidae passage, Anatidae breeding, Anatidae resident, Anatidae nonbreeding,.

 

File naming scheme:  

Filenames = AIHOSTxxxxsum.tif where XXX = breeding, nobreeding, resident, passage)

 

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Pixel values:Number of species per pixel for each category

Source: 

Birdlife International datasets

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12799447
title: 2021_HPAI_AvianHost_DistributionIndices

description: Weighted Index and formatted distribution data for HPAI hosts. 

Abstract: 

A series of descriptive metrics were produced as host distribution indices for use as covariates in HPAI spatial modelling. The following bird species were included. For each, disptribution maps were extracted from the Birdlife International datasets and idvidual ratster images were produced for breeding, passage, resident and passage distributions.  Anas crecca, Anas penelope, Anal platyrhynchos, Anser anser, Aytha fuligula, Bucephala clangula, Cygnus color, Cygnus cygnus, Mareca penelope, Mareca strepera,  Combination images for all species were also produced , each giving the number of species per pixel for each category ( Anatidae passage, Anatidae breeding, Anatidae resident, Anatidae nonbreeding,.

 

File naming scheme:  

Filenames = AIHOSTxxxxsum.tif where XXX = breeding, nobreeding, resident, passage)

 

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Pixel values:Number of species per pixel for each category

Source: 

Birdlife International datasets

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12799425
title: 2021_WNV_AvianHost_DistributionIndices

description: BRT/RF ensemble spatial Models and Weighted seasonality code for WNV avian Hosts. 

Abstract: 

A series of BRT spatial models were produced for WNV avian hosts (Corvus corax, Corvus corone, Corvus frugilegus, Corvus monedula, Corvus ruficollis, Passer domesticus, Pica pica, Turdus merula) by combining Random Forest and Boosted Regresion Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include polygon data from the Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org) . In addition an ensemble model combining Random Forest and Boosted Regresion Trees spatial modelling outputs has been produced for an index of seasonal distributions of corvid presence categories ranked in decreasing order as follows Resident, Breeding, Non-Breeding, Passage Speces included : Corvus vorax, Corvus monedula, Corvus corona, Corvus frugilegus, Corvus ruficollis. 

 

 

File naming scheme:  

File name = blifecorvidssuminvcdBRTRFENS.tif 

description: wnvmodelsdesc.txt

 

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0000000000000000,18.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Temporal Resolution: 

Seasonal 

Pixel values:an index of seasonal distributions

Source: 

The Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org)

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12799426
title: 2021_WNV_AvianHost_DistributionIndices

description: BRT/RF ensemble spatial Models and Weighted seasonality code for WNV avian Hosts. 

Abstract: 

A series of BRT spatial models were produced for WNV avian hosts (Corvus corax, Corvus corone, Corvus frugilegus, Corvus monedula, Corvus ruficollis, Passer domesticus, Pica pica, Turdus merula) by combining Random Forest and Boosted Regresion Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include polygon data from the Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org) . In addition an ensemble model combining Random Forest and Boosted Regresion Trees spatial modelling outputs has been produced for an index of seasonal distributions of corvid presence categories ranked in decreasing order as follows Resident, Breeding, Non-Breeding, Passage Speces included : Corvus vorax, Corvus monedula, Corvus corona, Corvus frugilegus, Corvus ruficollis. 

 

 

File naming scheme:  

File name = blifecorvidssuminvcdBRTRFENS.tif 

description: wnvmodelsdesc.txt

 

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0000000000000000,18.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Temporal Resolution: 

Seasonal 

Pixel values:an index of seasonal distributions

Source: 

The Birdlife Internatioinal project and from the Global Biodiversity Information Facility (www.gbif.org)

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project
DOI: 10.5281/zenodo.12799418
title: 2022_2023_SpatialModel_TBEHosts

description: Updated Spatial Models Hosts: Cervus elephus, Dama dama, Capreolus capreolus, Cervus nippon, Apodemus falvicollis, Myodes glareolus, Lepus europeaus, Lepus timidus, 2022 and 2023. 

Abstract: 

Ensembled spatial models were produced for four deer species (mooddeerensemblemodelsaug23.zip), two small mammal species (moemmaapofmyogMEANRFBRTAug22.zip), and two hare species (moemmalepeutiaug22MEANRFBRT.zip) by combining Random Forest and Boosted Regression Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include data from IUCN, from the Global Biodiversity Information Facility (www.gbif.org), and from earlier models ( Alexander, N.S., Morley, D, Medlock, J, Searle, K and Wint, W (2014), A First Attempt at Modelling Roe Deer (Capreolus capreolus) Distributions Over Europe. Open Health Data 2(1):e2, DOI:http://dx.doi.org/10.5334/ohd.ah and Wint, W, Morley, D, Medlock, J and Alexander, N.S (2014), A First Attempt at Modelling Red Deer (Cervus elaphus) Distributions Over Europe. Open Health Data 2(1):e1, DOI: http://dx.doi.org/10.5334/ohd.ag . 

 

File naming scheme: 

four deer species (mooddeerensemblemodelsaug23.zip) , two small mammal species (moemmaapofmyogMEANRFBRTAug22.zip) and two hare species (moemmalepeutiaug22MEANRFBRT.zip)

 The output files are as follows:  a) deer: mocapcapensrfbrt2223.tif = Capreolus capreolus (Roe deer) ; mocervelensrfbrt2223.tif = Cervus elephbus (Red deer) ; modamdamensrfbrt2223.tif = Dama dama (Fallow deer) ; and mosikapaensbrtrfaug23.tif = Cervus nippon (Sika deer)  b) small mammals: moemmaapoflaaug22MEANRFBRT.tif = Apodemus flavicolis (Yellow necked mouse ; moemmamyoglaaug22MEANRFBRT.tif = Myodes glareolus (Bank vole) c) hares: moemmalepeuaug22MEANRFBRT.tif = Lepus europaeus (European Hare) ; and moemmaleptiaug22MEANRFBRT.tif = Lepus timidus (Mountain Hare)

 

 

Projection + EPSG code:Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:Extent   -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716

Spatial resolution:0.0083333 deg (approx. 1000 m)  

Pixel values:Cluster number and Predicted probability of presence

Source: 

UCN, from the Global Biodiversity Information Facility (www.gbif.org)

Software used:ArcMap 10.8

License: CC-BY-SA 4.0

Processed by:ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project