Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania

List of 14,989 Ungulate-Vehicle collision (UVC) reports (temporal data only: road incident: id, year, month, day, hour, animal specie, weekday string, month string, sunrise and susnet hours) that involved four large mammalian species: 1,434 moose (Alces alces), 258 red deer (Cervus elaphus), 11,788...

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Bibliographic Details
Main Author: Kučas, Andrius
Format: Dataset
Language:unknown
Published: Mendeley 2021
Subjects:
Animal Behavior
Seasonal Variation
Accident Prevention
Ungulate
Temporal Analysis
Road Safety
Alces alces
Online Access:https://dx.doi.org/10.17632/4y8t78dsxy.2
https://data.mendeley.com/datasets/4y8t78dsxy/2
id ftdatacite:10.17632/4y8t78dsxy.2
record_format openpolar
spelling ftdatacite:10.17632/4y8t78dsxy.2 2023-05-15T13:12:49+02:00 Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania Kučas, Andrius 2021 https://dx.doi.org/10.17632/4y8t78dsxy.2 https://data.mendeley.com/datasets/4y8t78dsxy/2 unknown Mendeley https://dx.doi.org/10.17632/4y8t78dsxy https://dx.doi.org/10.1016/j.jenvman.2020.111172 Creative Commons Attribution 4.0 International info:eu-repo/semantics/embargoedAccess https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Animal Behavior Seasonal Variation Accident Prevention Ungulate Temporal Analysis Road Safety dataset Dataset 2021 ftdatacite https://doi.org/10.17632/4y8t78dsxy.2 https://doi.org/10.17632/4y8t78dsxy https://doi.org/10.1016/j.jenvman.2020.111172 2021-11-05T12:55:41Z List of 14,989 Ungulate-Vehicle collision (UVC) reports (temporal data only: road incident: id, year, month, day, hour, animal specie, weekday string, month string, sunrise and susnet hours) that involved four large mammalian species: 1,434 moose (Alces alces), 258 red deer (Cervus elaphus), 11,788 roe deer (Capreolus capreolus) and 1,509 wild boar (Sus scrofa) for 2002-2017 period. Dataset Alces alces DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Animal Behavior
Seasonal Variation
Accident Prevention
Ungulate
Temporal Analysis
Road Safety
spellingShingle Animal Behavior
Seasonal Variation
Accident Prevention
Ungulate
Temporal Analysis
Road Safety
Kučas, Andrius
Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
topic_facet Animal Behavior
Seasonal Variation
Accident Prevention
Ungulate
Temporal Analysis
Road Safety
description List of 14,989 Ungulate-Vehicle collision (UVC) reports (temporal data only: road incident: id, year, month, day, hour, animal specie, weekday string, month string, sunrise and susnet hours) that involved four large mammalian species: 1,434 moose (Alces alces), 258 red deer (Cervus elaphus), 11,788 roe deer (Capreolus capreolus) and 1,509 wild boar (Sus scrofa) for 2002-2017 period.
format Dataset
author Kučas, Andrius
author_facet Kučas, Andrius
author_sort Kučas, Andrius
title Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
title_short Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
title_full Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
title_fullStr Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
title_full_unstemmed Data for: Temporal patterns of ungulate-vehicle collisions in Lithuania
title_sort data for: temporal patterns of ungulate-vehicle collisions in lithuania
publisher Mendeley
publishDate 2021
url https://dx.doi.org/10.17632/4y8t78dsxy.2
https://data.mendeley.com/datasets/4y8t78dsxy/2
genre Alces alces
genre_facet Alces alces
op_relation https://dx.doi.org/10.17632/4y8t78dsxy
https://dx.doi.org/10.1016/j.jenvman.2020.111172
op_rights Creative Commons Attribution 4.0 International
info:eu-repo/semantics/embargoedAccess
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.17632/4y8t78dsxy.2
https://doi.org/10.17632/4y8t78dsxy
https://doi.org/10.1016/j.jenvman.2020.111172
_version_ 1766254263311269888

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