説明
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.
データ レコード
この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、75,158 レコードが含まれています。
拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
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).
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: d3b6cb30-0a64-4f82-91ea-0bb14637ee17が割り当てられています。 GBIF Portugal によって承認されたデータ パブリッシャーとして GBIF に登録されているCIBIO (Research Center in Biodiversity and Genetic Resources) Portugal が、このリソースをパブリッシュしました。
キーワード
Occurrence samplingEvent; Observation
連絡先
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地理的範囲
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
座標(緯度経度) | 南 西 [-90, -180], 北 東 [90, 180] |
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生物分類学的範囲
説明がありません
Kingdom | Animalia |
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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 |
時間的範囲
開始日 / 終了日 | 1996-02-10 / 2024-04-01 |
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プロジェクトデータ
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.
タイトル | RISKY – Global roadkill data |
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ファンデイング | 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. |
プロジェクトに携わる要員:
- 論文著者
収集方法
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.
Study Extent | Global |
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Method step description:
- 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.
追加のメタデータ
代替識別子 | d3b6cb30-0a64-4f82-91ea-0bb14637ee17 |
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http://ipt.gbif.pt/ipt/resource?r=global_roadkill_surveys |