Descrição
This dataset is part of the largest worldwide compilation of roadkill data on terrestrial vertebrates, comprising 208,570 roadkill records, with 2283 species and subspecies from 54 countries across six continents. It provides detailed records of roadkill locations from surveys conducted globally, supporting scientific research, guiding policymaking, and aiming to mitigate the ecological and socioeconomic impacts of wildlife-vehicle collisions. By enabling broader analyses, it offers researchers and stakeholders worldwide access to critical data, fostering the development of wildlife-friendly transport infrastructure.
This section contains records with associated survey data, and includes 1643 species from 31 countries, ranging from 1996 to 2024.
Registros de Dados
Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 75.158 registros.
Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.
Event (core)
Occurrence
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
Grilo, C., Neves, T., Bates, J. et al. Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles. Sci Data 12, 505 (2025).
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: d3b6cb30-0a64-4f82-91ea-0bb14637ee17. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Portugal.
Palavras-chave
Occurrence samplingEvent; Observation
Contatos
Clara Grilo
Tomé Neves
J. Bates
- Originador
A. le Roux
- Originador
P. Medrano-Vizcaíno
- Originador
M. Quaranta
- Originador
I. Silva
- Originador
K. Soanes
- Originador
Y. Wang
- Originador
S.D. Abate
- Originador
F.D. Abra
- Originador
S. Aldaz-Cedeño
- Originador
P.R. Alencar
- Originador
M.F.P Almeida
- Originador
M.H. Alves
- Originador
P. Alves
- Originador
A. Ambrozio-Assis
- Originador
R. Ament
- Originador
R. Andrášik
- Originador
E. Araguillin
- Originador
D.R Araújo
- Originador
A. Araujo-Quintero
- Originador
J. Arca-Rubio
- Originador
M. Arianejad
- Originador
C. Armas
- Originador
E. Arnold
- Originador
F. Ascensão
- Originador
B. Azhar
- Originador
S.-Y. Baek
- Originador
H. Bajpai
- Originador
D. Bakaloudis
- Originador
A.C.F. Balbino- Silva
- Originador
A. Balestrieri
- Originador
R. Balestrieri
- Originador
U. Bansal
- Originador
C. Barbraud
- Originador
A. Barg
- Originador
R. Barrientos
- Originador
P.C. Barth
- Originador
T. Bartonička
- Originador
M. Basile
- Originador
M.L. Bastianelli
- Originador
G. Batista
- Originador
J. Baxter-Gilbert
- Originador
J. Beduschi
- Originador
S. Behera
- Originador
K. Bélanger-Smith
- Originador
M. Belkacem
- Originador
Y. Benedetti
- Originador
G. Benitez-Badillo
- Originador
J. Betlhoff
- Originador
A.J. Beulahbah
- Originador
A.M.R. Bezerra
- Originador
M. Bíl
- Originador
D. Blamires
- Originador
J.A. Bogoni
- Originador
V. Bontzorlos
- Originador
A. Borzee
- Originador
T.J. Boves
- Originador
A.A.A. Bovo
- Originador
S.P. Boyle
- Originador
C. Bueno
- Originador
J.K. Bukombe
- Originador
U. Bülbül
- Originador
M.E. Cabrera-García
- Originador
P. Cacciali
- Originador
C. Camacho
- Originador
A Campos
- Originador
J. Campos
- Originador
D. Canal
- Originador
L. Canova
- Originador
P. Canul Chuc
- Originador
A. Caravaggi
- Originador
B.E. Carlson
- Originador
G. Carmona
- Originador
J. Cartes
- Originador
F. Carvalho
- Originador
V. Castelazo-Calva
- Originador
H. Castillo
- Originador
K. Ceron
- Originador
R. Cervantes-Huerta
- Originador
J. Červinka
- Originador
D. Chala
- Originador
N. D. Charney
- Originador
M.W.H. Chatfield
- Originador
J.J. Cherem
- Originador
B. Chruszcz
- Originador
K. Çiçek
- Originador
V. Cícha
- Originador
A-Ș. Cicort-Lucaciu
- Originador
A.P. Clevenger
- Originador
V.J Colino-Rabanal
- Originador
W. Collinson
- Originador
P. Colombo
- Originador
A. Costa
- Originador
G.C. Costa
- Originador
J.R.N Costa
- Originador
A.L. Costa-Silva
- Originador
S.-D. Covaciu-Marcov
- Originador
M.V. Cove
- Originador
K. A. Crandall
- Originador
M. Crane
- Originador
L.B. Crivellari
- Originador
A.S. Cunha
- Originador
H.F Cunha
- Originador
M.E. Cunha
- Originador
D. Cupșa
- Originador
M. D'Amico
- Originador
J. Das
- Originador
K.M.P.M de Barros
- Originador
L. de los Reyes Lara
- Originador
J.D. Delgado
- Originador
S. Desai
- Originador
A.J.L Desbiez
- Originador
A. Desrochers
- Originador
R.I. Dias
- Originador
T.C. Dias
- Originador
P. Duengkae
- Originador
M. Duľa
- Originador
J. Durán-Antonio
- Originador
Cobertura Geográfica
This dataset contains information from 31 countries from 5 continents: Argentina Bangladesh Brazil Canada China Colombia Czechia Ecuador France India Ireland Italy Japan Mexico Netherlands Norway Pakistan Panama Paraguay Poland Portugal Romania Serbia South Africa Spain Sri Lanka Tanzania Thailand Turkey United States Venezuela
| Coordenadas delimitadoras | Sul Oeste [-90, -180], Norte Leste [90, 180] |
|---|
Cobertura Taxonômica
Nenhuma descrição disponível
| Reino | Animalia |
|---|---|
| Filo | Chordata |
| Class | Amphibia, Aves, Mammalia, Reptilia |
| Ordem | Accipitriformes, Anseriformes, Anura, Apodiformes, Artiodactyla, Bucerotiformes, Caprimulgiformes, Cariamiformes, Carnivora, Caudata, Charadriiformes, Chiroptera, Ciconiiformes, Cingulata, Columbiformes, Coraciiformes, Crocodylia, Cuculiformes, Didelphimorphia, Erinaceomorpha, Eurypygiformes, Falconiformes, Galliformes, Gruiformes, Gymnophiona, Hyracoidea, Lagomorpha, Nyctibiiformes, Otidiformes, Passeriformes, Pelecaniformes, Perissodactyla, Phaethontiformes, Pholidota, Piciformes, Pilosa, Podicipediformes, Primates, Procellariiformes, Psittaciformes, Pteroclidiformes, Rheiformes, Rodentia, Scandentia, Soricomorpha, Squamata, Strigiformes, Suliformes, Testudines, Tinamiformes, Trogoniformes |
| Família | Accipitridae, Acrocephalidae, Aegithalidae, Agamidae, Alaudidae, Alcedinidae, Alligatoridae, Alopoglossidae, Alytidae, Ambystomatidae, Amphisbaenidae, Anatidae, Anguidae, Anhingidae, Aniliidae, Aotidae, Apodidae, Aramidae, Ardeidae, Atelidae, Blanidae, Boidae, Bombinatoridae, Bombycillidae, Bovidae, Brachycephalidae, Bradypodidae, Bucconidae, Bufonidae, Burhinidae, Caeciliidae, Callitrichidae, Canidae, Capitonidae, Caprimulgidae, Cardinalidae, Cariamidae, Castoridae, Cathartidae, Caviidae, Cebidae, Centrolenidae, Ceratophryidae, Cercopithecidae, Cervidae, Cettiidae, Chamaeleonidae, Charadriidae, Chelidae, Chelydridae, Chinchillidae, Ciconiidae, Cisticolidae, Colubridae, Columbidae, Conopophagidae, Coraciidae, Corvidae, Corytophanidae, Cotingidae, Cracidae, Craugastoridae, Cricetidae, Crocodylidae, Cuculidae, Cuniculidae, Cyclopedidae, Cylindrophiidae, Dactyloidae, Dasypodidae, Dasyproctidae, Dicroglossidae, Dicruridae, Didelphidae, Diploglossidae, Dipodidae, Donacobiidae, Echimyidae, Elapidae, Emballonuridae, Emberizidae, Emydidae, Equidae, Erethizontidae, Erinaceidae, Estrildidae, Eublepharidae, Eurypygidae, Falconidae, Felidae, Fringillidae, Furnariidae, Galbulidae, Gekkonidae, Geoemydidae, Geomyidae, Gliridae, Gymnophthalmidae, Haematopodidae, Herpestidae, Heteromyidae, Hipposideridae, Hirundinidae, Homalopsidae, Hoplocercidae, Hyaenidae, Hydrobatidae, Hylidae, Hystricidae, Ichthyophiidae, Icteridae, Iguanidae, Irenidae, Jacanidae, Kinosternidae, Lacertidae, Laniidae, Laridae, Leiothrichidae, Leporidae, Leptodactylidae, Lorisidae, Malaconotidae, Manidae, Megalaimidae, Megalonychidae, Melanopareiidae, Mephitidae, Meropidae, Microhylidae, Mimidae, Miniopteridae, Molossidae, Momotidae, Monarchidae, Mormoopidae, Motacillidae, Muridae, Muscicapidae, Mustelidae, Myocastoridae, Myrmecophagidae, Nectariniidae, Noctilionidae, Numididae, Nyctibiidae, Odontophoridae, Odontophrynidae, Oriolidae, Otididae, Pareidae, Paridae, Parulidae, Passerellidae, Passeridae, Pelobatidae, Pelodytidae, Phaethontidae, Phalacrocoracidae, Phasianidae, Phrynosomatidae, Phyllodactylidae, Phyllomedusidae, Phylloscopidae, Phyllostomidae, Picidae, Pipidae, Pipridae, Pittidae, Ploceidae, Podicipedidae, Podocnemididae, Polioptilidae, Polychrotidae, Procaviidae, Procellariidae, Procyonidae, Prunellidae, Psammophiidae, Pseudaspididae, Psittacidae, Psophiidae, Pteroclididae, Pteropodidae, Pycnonotidae, Pythonidae, Rallidae, Ramphastidae, Ranidae, Recurvirostridae, Regulidae, Rhacophoridae, Rheidae, Rhinolophidae, Sagittariidae, Salamandridae, Scaphiopodidae, Scincidae, Sciuridae, Scolopacidae, Siphonopidae, Soricidae, Spalacidae, Strigidae, Sturnidae, Suidae, Sylviidae, Talpidae, Tapiridae, Tayassuidae, Teiidae, Testudinidae, Thamnophilidae, Thraupidae, Threskiornithidae, Thyropteridae, Tinamidae, Tragulidae, Trionychidae, Trochilidae, Troglodytidae, Trogonidae, Tropiduridae, Tupaiidae, Turdidae, Turnicidae, Typhlopidae, Tyrannidae, Tytonidae, Upupidae, Uropeltidae, Varanidae, Vespertilionidae, Viperidae, Vireonidae, Viverridae, Xenopeltidae |
| Gênero | Ablepharus, Acanthis, Acanthodactylus, Accipiter, Acridotheres, Aegialomys, Aegithalos, Aeorestes, Agamia, Agelaioides, Agelaius, Ahaetulla, Alauda, Alcedo, Alces, Alectoris, Allactaga, Alopoglossus, Alouatta, Alytes, Amaurornis, Amazona, Amblyramphus, Ambystoma, Ameiva, Ammodramus, Amphiesma, Amphisbaena, Anas, Anastomus, Anaxyrus, Anguis, Anhinga, Anilius, Anolis, Anoura, Anthus, Antrostomus, Aotus, Aphelocoma, Apodemus, Apostolepis, Apus, Ara, Arachnothera, Aramides, Aramus, Aratinga, Arctonyx, Ardea, Argyrophis, Artibeus, Asio, Aspidura, Atelerix, Athene, Atlapetes, Atractus, Axis, Bachia, Bandicota, Barbastella, Barisia, Basileuterus, Basiliscus, Bassariscus, Bitis, Blanus, Blastocerus, Boa, Boana, Boiga, Boiruna, Bombina, Bombycilla, Bos, Bothrops, Bradypus, Branta, Brotogeris, Bubo, Bubulcus, Bucanetes, Bucco, Bufo, Bufotes, Bulweria, Bungarus, Burhinus, Buteo, Buteogallus, Butorides, Cabassous, Cacicus, Caecilia, Caiman, Cairina, Calandrella, Callimedusa, Calliophis, Callipepla, Callithrix, Callosciurus, Calloselasma, Calomys, Calotes, Caluromys, Camarhynchus, Campephilus, Campocolinus, Camptostoma, Campylopterus, Campylorhamphus, Campylorhynchus, Canis, Cannomys, Cantorchilus, Capito, Capreolus, Caprimulgus, Caracara, Cardinalis, Carduelis, Cariama, Carollia, Carpococcyx, Castor, Cathartes, Catharus, Cavia, Cecropis, Centropus, Ceratophrys, Cerdocyon, Certhiaxis, Cervus, Cettia, Chaetocercus, Chaetophractus, Chalcides, Chamaeleo, Charadrius, Chelidoptera, Chelonoidis, Chelydra, Chionomesa, Chiroderma, Chironectes, Chironius, Chiroxiphia, Chlamydotis, Chloris, Chloroceryle, Chlorosoma, Choloepus, Chordeiles, Chrysemys, Chrysocyon, Chrysomus, Chrysopelea, Cinnyris, Circaetus, Circus, Cisticola, Claravis, Claudius, Clelia, Cnemidophorus, Coccothraustes, Coccyzus, Cochlearius, Coelognathus, Coendou, Coereba, Colaptes, Colibri, Coloeus, Coluber, Columba, Columbina, Condylura, Conepatus, Coniophanes, Conirostrum, Connochaetes, Conopophaga, Conopsis, Contopus, Copeoglossum, Copsychus, Coracias, Coragyps, Corallus, Coronella, Corvus, Coryphospingus, Coturnix, Craspedocephalus, Cratogeomys, Craugastor, Crax, Cricetus, Crocidura, Crocodilurus, Crocodylus, Crocuta, Crotalus, Crotophaga, Crypturellus, Ctenosaura, Cuculus, Cuniculus, Cuora, Curruca, Cyanerpes, Cyanistes, Cyanocitta, Cyanocorax, Cyanoliseus, Cyanoloxia, Cyanopica, Cyclarhis, Cyclopes, Cygnus, Cylindrophis, Cynopterus, Cyrtodactylus, Cyrtonyx, Daboia, Dacnis, Dama, Daptrius, Darevskia, Dasia, Dasyprocta, Dasypterus, Dasypus, Delichon, Dendrelaphis, Dendrocolaptes, Dendrocopos, Dendrocygna, Dendropsophus, Dermatonotus, Diadophis, Dicrurus, Didelphis, Diplothrix, Dipodomys, Dipsas, Discoglossus, Dispholidus, Dives, Dolichophis, Dolichotis, Donacobius, Dracaena, Drepanoides, Drymarchon, Drymobius, Drymoluber, Dryobates, Dryocopus, Dryophylax, Dryophytes, Dumetella, Duttaphrynus, Echinanthera, Echis, Egretta, Eira, Elachistocleis, Elaenia, Eliomys, Emberiza, Emberizoides, Embernagra, Empidonomus, Emys, Engystomops, Enhydris, Enyalioides, Eonycteris, Epicrates, Epidalea, Eptesicus, Equus, Eremophila, Eremopterix, Erethizon, Erinaceus, Erithacus, Erythrolamprus, Eryx, Espadarana, Estrilda, Eublepharis, Eudorcas, Eudromia, Eudynamys, Eunectes, Eupetomena, Euphagus, Euphlyctis, Euphonia, Euphractus, Eupodotis, Eurypyga, Euscarthmus, Eutropis, Falco, Fejervarya, Felis, Ficedula, Formicivora, Forpus, Fowlea, Francolinus, Fringilla, Fulica, Funambulus, Furnarius, Galbula, Galea, Galerella, Galerida, Galictis, Gallinula, Gallus, Gampsonyx, Garrulus, Gehyra, Gekko, Genetta, Geochelone, Geoclemys, Geococcyx, Geospiza, Geothlypis, Glaucidium, Glaucomys, Glis, Glossophaga, Glyphoglossus, Glyptemys, Golunda, Gonyosoma, Guira, Haematopus, Haemorhous, Halcyon, Hebius, Helicops, Heliomaster, Helmitheros, Hemidactylus, Hemiechinus, Hemorrhois, Heosemys, Herpestes, Hesperoptenus, Hierophis, Himantopus, Hippolais, Hipposideros, Hirundo, Holcosus, Homalopsis, Homopus, Hoplobatrachus, Hoploxypterus, Hyaena, Hyalinobatrachium, Hydrochoerus, Hydrodynastes, Hydrophylax, Hydrops, Hydropsalis, Hyla, Hylarana, Hylocichla, Hylocryptus, Hylophilus, Hypnale, Hypothymis, Hypsipetes, Hypsiscopus, Hystrix, Iberolacerta, Ibycter, Ichthyophis, Icterus, Ictinia, Ictonyx, Iguana, Imantodes, Incilius, Irena, Ischnocnema, Itapotihyla, Ixobrychus, Jacana, Junco, Jynx, Kaloula, Kerodon, Kinosternon, Lacerta, Lachesis, Lagostomus, Lampropeltis, Lanius, Lankascincus, Larus, Lasiurus, Lathrotriccus, Legatus, Leiothlypis, Leontocebus, Leopardus, Leptailurus, Leptodactylus, Leptodeira, Leptophis, Leptotila, Lepus, Leuconotopicus, Leucophaeus, Linaria, Liomys, Liopeltis, Lissemys, Lissotriton, Lithobates, Lithodytes, Lonchura, Lontra, Lophophanes, Loriotus, Loxia, Lullula, Luscinia, Lutra, Lycalopex, Lycodon, Lygophis, Lygosoma, Lynx, Macaca, Machetornis, Macroglossus, Macroprotodon, Madoqua, Malayopython, Malpolon, Manacus, Manis, Marmosa, Marmota, Martes, Masticophis, Mastigodryas, Mauremys, Maxomys, Mazama, Medopheos, Megaceryle, Megarynchus, Megascops, Melanerpes, Melanochelys, Melanocorypha, Melanopareia, Melanosuchus, Meleagris, Meles, Melospiza, Melozone, Menetes, Mephitis, Merops, Mesembrinibis, Mesoclemmys, Mico, Micoureus, Micrastur, Microcavia, Microhyla, Microlophus, Microspizias, Microtus, Micrurus, Milvago, Milvus, Mimus, Minervarya, Miniopterus, Mionectes, Mirafra, Mitu, Molossus, Molothrus, Momotus, Monasa, Monodelphis, Moschiola, Motacilla, Murina, Mus, Muscicapa, Mussurana, Mustela, Mustelirallus, Myiarchus, Myiobius, Myiophobus, Myiopsitta, Myiothlypis, Myiozetetes, Myocastor, Myoprocta, Myotis, Myrmecophaga, Naja, Nandayus, Nasua, Natrix, Neomys, Neothraupis, Neotoma, Nerodia, Nesokia, Nilssonia, Ninia, Ninox, Noctilio, Nonnula, Nothura, Notiochelidon, Notophthalmus, Numida, Nyctanassa, Nyctereutes, Nyctibius, Nycticebus, Nycticeius, Nycticorax, Nyctidromus, Nyctiprogne, Nystalus, Occidozyga, Oceanodroma, Odocoileus, Odontophrynus, Oecomys, Oligodon, Oligoryzomys, Ololygon, Ondatra, Opheodrys, Ophiodes, Ophiophagus, Oreocryptophis, Oriolus, Ortalis, Orthotomus, Ortygornis, Oryctolagus, Oryzomys, Osteocephalus, Otocryptis, Otocyon, Otospermophilus, Otus, Ovis, Oxybelis, Oxyrhopus, Pachyramphus, Paleosuchus, Palusophis, Panthera, Pantherophis, Papio, Paradoxurus, Pardirallus, Pareas, Parkesia, Paroaria, Parus, Passer, Passerella, Passerina, Patagioenas, Pecari, Pelobates, Pelodytes, Pelophylax, Penelope, Perdix, Periparus, Pernis, Perognathus, Peromyscus, Petaurista, Petronia, Phacellodomus, Phacochoerus, Phaethon, Phaethornis, Phalacrocorax, Phasianus, Pheucticus, Philander, Philodryas, Phimophis, Phimosus, Phoenicurus, Phrynonax, Phrynops, Phrynosoma, Phyllomedusa, Phylloscopus, Phyllostomus, Physalaemus, Piaya, Pica, Piculus, Picumnus, Picus, Pionus, Pipa, Pipile, Pipistrellus, Pipra, Piranga, Pitangus, Pithecopus, Pitta, Pituophis, Platyceps, Platyrrhinus, Platyspiza, Plestiodon, Pleurodeles, Plica, Podarcis, Podilymbus, Podocnemis, Poecile, Polioptila, Polychrus, Polypedates, Polytmus, Pooecetes, Poospiza, Porphyrio, Porthidium, Porzana, Potos, Primolius, Prinia, Priodontes, Prionailurus, Pristimantis, Procavia, Procyon, Proechimys, Progne, Proteles, Protonotaria, Prunella, Psammodromus, Psammodynastes, Psammophis, Pseudacris, Pseudis, Pseudoboa, Pseudoleistes, Pseudonigrita, Pseudopaludicola, Pseudophilautus, Pseudoscops, Psilopogon, Psophia, Pternistis, Pterocles, Pteroglossus, Pteronotus, Ptyas, Pulsatrix, Puma, Pycnonotus, Pyriglena, Pyrocephalus, Pyrrhura, Python, Quiscalus, Rallus, Ramphastos, Ramphocelus, Rana, Rattus, Regulus, Reithrodontomys, Rhabdophis, Rhacophorus, Rhaebo, Rhea, Rhinella, Rhinobothryum, Rhinoclemmys, Rhinolophus, Rhinophis, Rhodospingus, Rhogeessa, Rhopodytes, Rhynchotus, Rostrhamus, Rucervus, Rupornis, Rusa, Saara, Saccopteryx, Sagittarius, Saguinus, Sahyadriophis, Saimiri, Salamandra, Salpinctes, Saltator, Saltatricula, Salvadora, Salvator, Sapajus, Saxicola, Saxicoloides, Sceloporus, Schiffornis, Schistochlamys, Schoeniophylax, Scinax, Sciurus, Sclateria, Scolopax, Scotophilus, Seiurus, Semnopithecus, Serinus, Setopagis, Setophaga, Sialia, Sibon, Sibynophis, Sicalis, Sigmodon, Simophis, Sinomicrurus, Siphlophis, Siphonops, Sistrurus, Smilisca, Sorex, Spalerosophis, Spea, Speothos, Sphaenorhynchus, Sphaerotheca, Sphiggurus, Spilogale, Spilopelia, Spilotes, Spinus, Spizaetus, Spizella, Sporophila, Sporopipes, Staurotypus, Stelgidopteryx, Stenocercus, Sternotherus, Stigmochelys, Stilpnia, Storeria, Streptopelia, Strix, Sturnella, Sturnira, Sturnus, Suncus, Sus, Sylvia, Sylvilagus, Sylvirana, Synallaxis, Synophis, Tachybaptus, Tachycineta, Tachyphonus, Taeniophallus, Talpa, Tamandua, Tamias, Tamiasciurus, Tantilla, Tapera, Taphozous, Tapirus, Taraba, Tarentola, Taxidea, Tayassu, Tchagra, Terrapene, Thalurania, Thamnodynastes, Thamnophilus, Thamnophis, Thecadactylus, Theristicus, Thraupis, Thrichomys, Thryothorus, Thyroptera, Tigrisoma, Timon, Tityra, Todirostrum, Tolmomyias, Tolypeutes, Tomodon, Toxostoma, Trachemys, Trachycephalus, Trachypithecus, Trimeresurus, Triturus, Troglodytes, Trogon, Tropidodryas, Tropidurus, Tupaia, Tupinambis, Turdoides, Turdus, Turnix, Tyrannulus, Tyrannus, Tyto, Uperodon, Upupa, Uraeginthus, Urocyon, Uroderma, Uropelia, Urotheca, Vampyriscus, Vanellus, Varanus, Veniliornis, Vipera, Vireo, Viverra, Viverricula, Volatinia, Vormela, Vulpes, Xenodon, Xenopeltis, Xenopholis, Xerospermophilus, Xiphorhynchus, Xolmis, Zaedyus, Zamenis, Zapus, Zenaida, Zonotrichia |
Cobertura Temporal
| Data Inicial / Data final | 1996-02-10 / 2024-04-01 |
|---|
Dados Sobre o Projeto
This dataset marks the first phase of the RISKY project, which aims to develop a comprehensive web platform on wildlife mortality from transport and energy infrastructure. The platform will integrate open-access data not only from roads but also from railways, power lines, and wind farms, user-friendly analytical tools to support conservation research and sensitivity maps to guide decision-makers in infrastructure planning and mitigation strategies. The RISKY project seeks to contribute knowledge for the development and expansion of energy and transport infrastructures that respect and protect wildlife.
| Título | RISKY – Global roadkill data |
|---|---|
| Financiamento | This dataset was developed as part of the RISKY project—Wildlife Mortality from Energy and Transport Infrastructure—funded by OSCARS (Open Science Clusters’ Action for Research and Society) under the European Commission’s Horizon Europe Research and Innovation Programme (Grant Agreement No. 101129751). Additionally, the development of this dataset was supported by the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 857251). Further support was provided by Fundação para a Ciência e Tecnologia (FCT, Portugal) (Grant CG - 2022.00579.CEECIND) and a grant awarded to TN from National Funds (UIDP/50027/2020) within the BIOPOLIS Association. |
O pessoal envolvido no projeto:
Clara Grilo
- Autor
Métodos de Amostragem
The sampling procedure varies with each study from which the data was collected. The dataset contains all necessary information to characterize each study. The footprintWKT is a line from the start of the sampled road segment to the last, it does not follow the road.
| Área de Estudo | Global |
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Descrição dos passos do método:
- Data standardization - We conducted a clustering analysis on all text fields to identify similar entries with minor variations, such as typos, and corrected them using OpenRefine. We also standardized all date values using OpenRefine. Coordinate uncertainties listed as 0 m were adjusted to either 30m or 100m, depending on whether they were recorded after or before 2000, respectively, following the recommendation in the Darwin Core Reference Guide (https://dwc.tdwg.org/terms/#dwc:coordinateUncertaintyInMeters). Taxonomy - We cross-referenced all species names with the Global Biodiversity Information Facility (GBIF) Backbone Taxonomy using Java and GBIF’s API. This process aimed to rectify classification errors, include additional fields such as Kingdom, Phylum, and scientific authorship, and gather comprehensive taxonomic information to address any gap within the datasets. For species not automatically matched, we manually searched for correct synonyms when available. Georeferencing Quality Control - We employed the OpenStreetMap API through Java to detect location inaccuracies, and validate whether the geographic coordinates aligned with the specified country. We calculated the distance of each occurrence to the nearest road using the GRIP global roads database, ensuring that all records were within the defined coordinate uncertainty. We verified if the survey duration matched the provided initial and final survey dates. We calculated the distance between the provided initial and final road coordinates and cross-checked it with the given road length. We identified and merged duplicate entries within the same dataset (same location, species, and date), aggregating the number of roadkills for each occurrence.
Metadados Adicionais
| Identificadores alternativos | d3b6cb30-0a64-4f82-91ea-0bb14637ee17 |
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| http://ipt.gbif.pt/ipt/resource?r=global_roadkill_surveys |