Описание
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.
Записи данных
Данные этого событие отбора проб ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 75 158 записей.
Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.
Event (core)
Occurrence
Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.
Версии
В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.
Как оформить ссылку
Исследователи должны дать ссылку на эту работу следующим образом:
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).
Права
Исследователи должны соблюдать следующие права:
Публикующей организацией и владельцем прав на данную работу является CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Эта работа находится под лицензией Creative Commons Attribution (CC-BY 4.0).
Регистрация в GBIF
Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: d3b6cb30-0a64-4f82-91ea-0bb14637ee17. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF Portugal.
Ключевые слова
Occurrence samplingEvent; Observation
Контакты
Clara Grilo
Tomé Neves
J. Bates
- Originator
A. le Roux
- Originator
P. Medrano-Vizcaíno
- Originator
M. Quaranta
- Originator
I. Silva
- Originator
K. Soanes
- Originator
Y. Wang
- Originator
S.D. Abate
- Originator
F.D. Abra
- Originator
S. Aldaz-Cedeño
- Originator
P.R. Alencar
- Originator
M.F.P Almeida
- Originator
M.H. Alves
- Originator
P. Alves
- Originator
A. Ambrozio-Assis
- Originator
R. Ament
- Originator
R. Andrášik
- Originator
E. Araguillin
- Originator
D.R Araújo
- Originator
A. Araujo-Quintero
- Originator
J. Arca-Rubio
- Originator
M. Arianejad
- Originator
C. Armas
- Originator
E. Arnold
- Originator
F. Ascensão
- Originator
B. Azhar
- Originator
S.-Y. Baek
- Originator
H. Bajpai
- Originator
D. Bakaloudis
- Originator
A.C.F. Balbino- Silva
- Originator
A. Balestrieri
- Originator
R. Balestrieri
- Originator
U. Bansal
- Originator
C. Barbraud
- Originator
A. Barg
- Originator
R. Barrientos
- Originator
P.C. Barth
- Originator
T. Bartonička
- Originator
M. Basile
- Originator
M.L. Bastianelli
- Originator
G. Batista
- Originator
J. Baxter-Gilbert
- Originator
J. Beduschi
- Originator
S. Behera
- Originator
K. Bélanger-Smith
- Originator
M. Belkacem
- Originator
Y. Benedetti
- Originator
G. Benitez-Badillo
- Originator
J. Betlhoff
- Originator
A.J. Beulahbah
- Originator
A.M.R. Bezerra
- Originator
M. Bíl
- Originator
D. Blamires
- Originator
J.A. Bogoni
- Originator
V. Bontzorlos
- Originator
A. Borzee
- Originator
T.J. Boves
- Originator
A.A.A. Bovo
- Originator
S.P. Boyle
- Originator
C. Bueno
- Originator
J.K. Bukombe
- Originator
U. Bülbül
- Originator
M.E. Cabrera-García
- Originator
P. Cacciali
- Originator
C. Camacho
- Originator
A Campos
- Originator
J. Campos
- Originator
D. Canal
- Originator
L. Canova
- Originator
P. Canul Chuc
- Originator
A. Caravaggi
- Originator
B.E. Carlson
- Originator
G. Carmona
- Originator
J. Cartes
- Originator
F. Carvalho
- Originator
V. Castelazo-Calva
- Originator
H. Castillo
- Originator
K. Ceron
- Originator
R. Cervantes-Huerta
- Originator
J. Červinka
- Originator
D. Chala
- Originator
N. D. Charney
- Originator
M.W.H. Chatfield
- Originator
J.J. Cherem
- Originator
B. Chruszcz
- Originator
K. Çiçek
- Originator
V. Cícha
- Originator
A-Ș. Cicort-Lucaciu
- Originator
A.P. Clevenger
- Originator
V.J Colino-Rabanal
- Originator
W. Collinson
- Originator
P. Colombo
- Originator
A. Costa
- Originator
G.C. Costa
- Originator
J.R.N Costa
- Originator
A.L. Costa-Silva
- Originator
S.-D. Covaciu-Marcov
- Originator
M.V. Cove
- Originator
K. A. Crandall
- Originator
M. Crane
- Originator
L.B. Crivellari
- Originator
A.S. Cunha
- Originator
H.F Cunha
- Originator
M.E. Cunha
- Originator
D. Cupșa
- Originator
M. D'Amico
- Originator
J. Das
- Originator
K.M.P.M de Barros
- Originator
L. de los Reyes Lara
- Originator
J.D. Delgado
- Originator
S. Desai
- Originator
A.J.L Desbiez
- Originator
A. Desrochers
- Originator
R.I. Dias
- Originator
T.C. Dias
- Originator
P. Duengkae
- Originator
M. Duľa
- Originator
J. Durán-Antonio
- Originator
Географический охват
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
| Ограничивающие координаты | Юг Запад [-90, -180], Север Восток [90, 180] |
|---|
Таксономический охват
Описание отсутсвует
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Amphibia, Aves, Mammalia, Reptilia |
| Order | 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 |
| Family | 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 |
| Genus | 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 |
Временной охват
| Дата начала / Дата окончания | 1996-02-10 / 2024-04-01 |
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Данные проекта
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.
| Название | RISKY – Global roadkill data |
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| Финансирование | 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. |
Исполнители проекта:
Clara Grilo
- Author
Методы сбора
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.
| Охват исследования | Global |
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Описание этапа методики:
- 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.
Дополнительные метаданные
| Альтернативные идентификаторы | d3b6cb30-0a64-4f82-91ea-0bb14637ee17 |
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| http://ipt.gbif.pt/ipt/resource?r=global_roadkill_surveys |