cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/yhosw3/xyydbx
title: 20190601_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/yylsfl
title: 20190617_HOP_REDOBS_gal.txt
DOI: 10.18710/ubexzz/zw9jbx
title: 20180212_KHO_REDTEC_glo.txt
DOI: 10.18710/yhosw3/2y5dnj
title: 20190122_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/34sidy
title: 20190225_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/gxw08t
title: 20190407_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/hf3kow
title: 20190301_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/if0vrg
title: 20190619_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/jwtvnx
title: 20190623_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/mvd8xi
title: 20190721_HOP_REDOBS_gal.txt
DOI: 10.18710/suq4lx/0gw2gp
title: 20191024_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/8hocfy
title: 20190812_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/gvqgvo
title: 20190628_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/naqyni
title: 20190220_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/ae6s5p
title: 20181005_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/bh00v1
title: 20180401_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/o5urrn
title: 20181024_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/v1vwyd
title: 20180126_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/vh2r9o
title: 20180516_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ytoure
title: 20180125_KHO_REDTEC_gps.txt
DOI: 10.18710/yhosw3/rf4bra
title: 20190726_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/u5u7qo
title: 20190205_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/ueuwfz
title: 20190304_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/urxgkc
title: 20190619_HOP_REDOBS_gps.txt
DOI: 10.15468/dl.ndn8u4
title: Occurrence Download

description: A dataset containing 1950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mellivora capensis"
 ]
}

 The dataset includes 1950 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054550-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/lu4p3w/0lf8dp
title: 20190327_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/kvq1tt
title: 20190116_BJN_REDTEC_gal.txt
DOI: 10.18710/ubexzz/0kq7z7
title: 20181109_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/5ff9xy
title: 20180718_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/9dsznj
title: 20180929_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/aipqdq
title: 20181010_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/djfp2p
title: 20180730_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/e3dyxp
title: 20180622_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/fqc33y
title: 20180724_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/km9ml3
title: 20180405_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/lkhbcu
title: 20180618_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/ok8bwk
title: 20181205_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/oryjvm
title: 20180613_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/q7p1hc
title: 20180923_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/qitsha
title: 20181018_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/qrovr2
title: 20180524_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/8bjpq0
title: 20180111_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/f0uckk
title: 20180117_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/kllboz
title: 20180615_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/oexncx
title: 20180301_KHO_REDTEC_glo.txt
DOI: 10.18710/yhosw3/2k7qno
title: 20191014_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/gpmixy
title: 20190806_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/rxpi7j
title: 20190607_HOP_REDOBS_gal.txt
DOI: 10.18710/suq4lx/6fjk7o
title: 20190215_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/meldfc
title: 20190524_KHO_REDOBS_gal.txt
DOI: 10.18710/yhosw3/hfrtzv
title: 20190416_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/n9of9a
title: 20190317_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/qc4xgx
title: 20191122_HOP_REDOBS_gal.txt
DOI: 10.18710/lu4p3w/7d5ddz
title: 20190513_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/8rb9ik
title: 20190412_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/cgmmme
title: 20190117_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/ciykf5
title: 20190416_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/czknaa
title: 20190127_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/hec4yv
title: 20191231_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/jx2qvv
title: 20190729_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/knc99n
title: 20190311_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/tdwlpe
title: 20190729_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/vxfuud
title: 20191113_BJN_REDTEC_gps.txt
DOI: 10.18710/suq4lx/utam2e
title: 20190730_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/xvrvva
title: 20190913_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/z6dn8l
title: 20190802_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/4ujko9
title: 20180520_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/7qjcxa
title: 20181230_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/7ugdpi
title: 20180916_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/iyrwg4
title: 20180110_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/jj8ll4
title: 20180410_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/lt15d4
title: 20181030_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/nwrfmj
title: 20180309_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/vpqlus
title: 20181118_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/wd7bqk
title: 20180122_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/xynnqs
title: 20181129_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/znrjx8
title: 20180202_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/zpqwqp
title: 20180215_KHO_REDTEC_gps.txt
DOI: 10.18710/yhosw3/1tzqrf
title: 20190102_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/ck9abo
title: 20191115_HOP_REDOBS_gps.txt
DOI: 10.18710/suq4lx/3iexj2
title: 20190707_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/3knrso
title: 20190131_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/51ehst
title: 20190921_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/f4f1x6
title: 20190506_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/fssquc
title: 20190928_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/hgprxj
title: 20190219_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/hsjmca
title: 20190707_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/kgxxcq
title: 20191213_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/kzexqr
title: 20190205_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/m1kop3
title: 20190103_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/nl3iif
title: 20190929_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/o4n9rm
title: 20190303_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/oipuqt
title: 20190722_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/p4elg1
title: 20190620_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/ubiphe
title: 20191208_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/9elfjp
title: 20180724_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/9jnbj4
title: 20180304_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/blqg0j
title: 20180909_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/cvwq2k
title: 20180821_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/ficepp
title: 20181008_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/hutx76
title: 20180611_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/jlp5sd
title: 20181010_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/r7s4wo
title: 20180723_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/ryhxwb
title: 20180513_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/stndlj
title: 20181031_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/vnowjb
title: 20180919_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/yt1iqp
title: 20180619_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ywvtwp
title: 20180711_KHO_REDTEC_gps.txt
DOI: 10.18710/yhosw3/3ov0qh
title: 20190706_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/4qbp8l
title: 20190403_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/7ncela
title: 20190713_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/aomcm1
title: 20190417_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/c96sqy
title: 20190206_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/divg3e
title: 20190724_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/wwcic2
title: 20190418_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/zttriy
title: 20190507_HOP_REDOBS_gal.txt
DOI: 10.18710/lu4p3w/6nn8qv
title: 20191220_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ixtv1d
title: 20190405_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ldebdt
title: 20190722_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ydxwhd
title: 20190330_BJN_REDTEC_glo.txt
DOI: 10.18710/suq4lx/e1xiuy
title: 20191022_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/hieltl
title: 20190509_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/jckcz4
title: 20190426_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/jfhvoc
title: 20190423_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/kxevmi
title: 20191101_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/kyizfc
title: 20190624_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/m74hnp
title: 20190919_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/u5636b
title: 20191009_KHO_REDOBS_gal.txt
DOI: 10.18710/ubexzz/1kifzc
title: 20180722_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/9hi0wy
title: 20180802_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/agjpwa
title: 20181006_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ayvqmw
title: 20181206_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/k9gj2g
title: 20181119_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/kv89x8
title: 20180630_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/oszkcg
title: 20181026_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/sj66q2
title: 20180916_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/wq6t8z
title: 20180314_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/xpz12j
title: 20180518_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/y68pkh
title: 20180120_KHO_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/nljbak
title: 20190410_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/r4uf4r
title: 20190406_BJN_REDTEC_glo.txt
DOI: 10.18710/suq4lx/n4lvuh
title: 20190322_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/r4tgdb
title: 20191207_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/x8rnwi
title: 20190120_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/6ny4cq
title: 20180913_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ex8iwl
title: 20180108_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/qhaxnb
title: 20181014_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/y3g1ko
title: 20180507_KHO_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/zyfdqb
title: 20190202_BJN_REDTEC_gps.txt
DOI: 10.18710/suq4lx/hr2q2z
title: 20191227_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/rpzqwn
title: 20190416_KHO_REDOBS_gps.txt
DOI: 10.18710/ubexzz/4wlkdy
title: 20180713_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/60wxnj
title: 20180703_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/di2y4q
title: 20180225_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/dl9g8u
title: 20180107_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/e58zs8
title: 20180225_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/elbt5z
title: 20181004_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/esy36r
title: 20180617_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/etwknu
title: 20180827_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/hhrjtk
title: 20180821_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/hxdt7z
title: 20180306_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/ifxica
title: 20180709_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/iwhrz2
title: 20180220_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/knx5zz
title: 20180605_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/lic0we
title: 20180926_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/lydwqp
title: 20181009_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/mxeebc
title: 20180626_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/oatmjk
title: 20180325_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/rx5upv
title: 20180320_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/slelch
title: 20181228_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/tprtfl
title: 20181113_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/wuqmwo
title: 20180616_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/x1dzin
title: 20180504_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/ylssbc
title: 20180522_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/zc6c1o
title: 20180716_KHO_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/76kj35
title: 20191124_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/bov2u9
title: 20190410_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/hfebcn
title: 20190225_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/mxr1ul
title: 20190710_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ookfek
title: 20190130_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/oumug0
title: 20190917_BJN_REDTEC_gps.txt
DOI: 10.18710/suq4lx/4husbm
title: 20191116_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/agfrvs
title: 20191201_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/nu4dg9
title: 20190811_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/nuqmzu
title: 20190622_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/nvmdvr
title: 20190912_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/plzysu
title: 20190504_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/tjkfd5
title: 20190331_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/v24ebi
title: 20190331_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/vs12fu
title: 20190415_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/wwpt9t
title: 20190503_KHO_REDOBS_gal.txt
DOI: 10.18710/ubexzz/f1t1fx
title: 20180612_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/rykbfk
title: 20181110_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/tgwdob
title: 20181202_KHO_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/2mpkbo
title: 20190607_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/4kguf9
title: 20190708_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/a65rty
title: 20190806_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/mzo9m9
title: 20190409_BJN_REDTEC_glo.txt
DOI: 10.18710/suq4lx/nss8tz
title: 20190115_KHO_REDOBS_gps.txt
DOI: 10.18710/ubexzz/cfmbcj
title: 20180425_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/oxyke2
title: 20180117_KHO_REDTEC_gal.txt
DOI: 10.18710/yhosw3/jnmkht
title: 20191116_HOP_REDOBS_glo.txt
DOI: 10.18710/lu4p3w/knmzj6
title: 20191004_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/n1nlix
title: 20190504_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/v6fy1q
title: 20190524_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/vixcrv
title: 20190821_BJN_REDTEC_gal.txt
DOI: 10.18710/suq4lx/44yula
title: 20190717_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/6tmfxr
title: 20190414_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/819uvk
title: 20190207_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/ebo1c8
title: 20190911_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/ed4fss
title: 20190626_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/jpk72h
title: 20191120_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/kq3pun
title: 20191216_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/ofn9zr
title: 20190502_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/u7ylqo
title: 20190105_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/uwvslp
title: 20190623_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/xndlcw
title: 20191127_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/xnqqzg
title: 20191110_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/zbwhs7
title: 20190511_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/ztbpdp
title: 20190821_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/1ulkya
title: 20180429_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/6yawyd
title: 20180308_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/agjnb2
title: 20180912_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/cmkhja
title: 20180126_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/cqd5fw
title: 20181009_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/cujedl
title: 20180908_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/dycozq
title: 20180625_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/fff3tj
title: 20180127_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/hd1gmh
title: 20180307_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/hidhxi
title: 20180122_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/hzpgcs
title: 20180128_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/likert
title: 20181106_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/lsye9n
title: 20181209_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/mqx7sm
title: 20180411_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/qpiym3
title: 20181024_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/yop3to
title: 20180729_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/or8kjg
title: 20181018_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/xrwsrk
title: 20180920_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/zljghm
title: 20180731_KHO_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/6kdsuj
title: 20190222_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/6sf66k
title: 20191011_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/cmqkxp
title: 20190113_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/exq61f
title: 20191030_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/mudyrt
title: 20190510_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/nke6ih
title: 20190730_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/nvxzop
title: 20191010_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/r7ps6t
title: 20190505_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/u6uvv5
title: 20191208_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/x8efxo
title: 20190207_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/xg7j3l
title: 20190812_BJN_REDTEC_gps.txt
DOI: 10.18710/suq4lx/1d1mce
title: 20191205_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/8vx6ba
title: 20190428_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/c4amcf
title: 20190816_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/dy2hst
title: 20190310_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/ec4jgf
title: 20190925_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/ivvpj7
title: 20190111_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/iwatfr
title: 20190809_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/qur9jl
title: 20191219_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/sc6zeb
title: 20190325_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/su8ird
title: 20190903_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/vsacw5
title: 20190704_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/w0ejbz
title: 20190528_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/zb7dhg
title: 20190627_KHO_REDOBS_gal.txt
DOI: 10.18710/ubexzz/d9ctgv
title: 20180517_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/eue9xt
title: 20181213_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/gnqjml
title: 20181002_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/ozlkwb
title: 20180220_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/sue1rr
title: 20180601_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/uvgobu
title: 20180309_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/wxcw7l
title: 20181010_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/yghstv
title: 20181120_KHO_REDTEC_gal.txt
DOI: 10.18710/ubexzz/ywgfjn
title: 20181213_KHO_REDTEC_glo.txt
DOI: 10.18710/suq4lx/cs3l2q
title: 20191206_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/emplhb
title: 20190409_KHO_REDOBS_gps.txt
DOI: 10.18710/suq4lx/grnbnw
title: 20191027_KHO_REDOBS_glo.txt
DOI: 10.18710/suq4lx/hnmaod
title: 20190525_KHO_REDOBS_gal.txt
DOI: 10.18710/suq4lx/kinkt1
title: 20190124_KHO_REDOBS_glo.txt
DOI: 10.18710/ubexzz/jovlhy
title: 20180824_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/lqyomc
title: 20181208_KHO_REDTEC_gps.txt
DOI: 10.18710/ubexzz/xfkkzi
title: 20181012_KHO_REDTEC_glo.txt
DOI: 10.18710/ubexzz/zt3ezl
title: 20180521_KHO_REDTEC_glo.txt
DOI: 10.15468/dl.4awdgm
title: Occurrence Download

description: A dataset containing 5842021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5842021 records from 5271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054534-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnbx2c
title: Occurrence Download

description: A dataset containing 851 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetocercus berlepschi Simon, 1889"
 ]
}

 The dataset includes 851 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29270783
title: Driving visual information in highway tunnel entrances: A computational method based on optical flow and color quantification

description: The environmental landscape of highway tunnel entrance zones is closely related to driving performance. To investigate the impact mechanism of environmental information volume on drivers’ visual workload in tunnel entrance zones, this study proposes a novel computational method for quantifying visual information. The aim is to provide a theoretical basis for improving tunnel entrance environments and enhancing driving safety. Field experiments on highways collected environmental images, vehicle dynamics, and drivers’ speed and psychological data from eight tunnel entrances. Visual field images were divided into five regions based on attention range: upper portal, central portal, left/right roadside, and pavement. HSV values were extracted to describe color and texture features. A model combining optical flow, sight distance, lane width, and speed quantified visual information volume, including traffic signs, and analyzed its relationship with visual workload. The subjective questionnaire results were consistent with the objective computational findings, verifying the reliability of the proposed method. Tunnel entrances with complex landscapes and diverse traffic signs exhibited higher levels of visual information, with drivers’ gaze distributed across four areas: both sides of the road, the tunnel entrance center, and the roadway. In contrast, entrances with simpler landscapes and fewer signs had lower visual information levels, and drivers’ gaze was mainly concentrated on the roadway and the tunnel entrance center. The proposed visual information quantification method effectively evaluates the impact of tunnel entrance environmental characteristics on driving visual workload. Appropriately controlling the proportion of traffic sign information (15%–25.55%) helps balance visual workload and comfort, while excessive or insufficient information may lead to discomfort due to underload or overload. These findings provide theoretical guidance and practical recommendations for optimizing tunnel entrance landscape design, traffic sign arrangement, and traffic safety enhancement.
DOI: 10.6084/m9.figshare.29270783.v1
title: Driving visual information in highway tunnel entrances: A computational method based on optical flow and color quantification

description: The environmental landscape of highway tunnel entrance zones is closely related to driving performance. To investigate the impact mechanism of environmental information volume on drivers’ visual workload in tunnel entrance zones, this study proposes a novel computational method for quantifying visual information. The aim is to provide a theoretical basis for improving tunnel entrance environments and enhancing driving safety. Field experiments on highways collected environmental images, vehicle dynamics, and drivers’ speed and psychological data from eight tunnel entrances. Visual field images were divided into five regions based on attention range: upper portal, central portal, left/right roadside, and pavement. HSV values were extracted to describe color and texture features. A model combining optical flow, sight distance, lane width, and speed quantified visual information volume, including traffic signs, and analyzed its relationship with visual workload. The subjective questionnaire results were consistent with the objective computational findings, verifying the reliability of the proposed method. Tunnel entrances with complex landscapes and diverse traffic signs exhibited higher levels of visual information, with drivers’ gaze distributed across four areas: both sides of the road, the tunnel entrance center, and the roadway. In contrast, entrances with simpler landscapes and fewer signs had lower visual information levels, and drivers’ gaze was mainly concentrated on the roadway and the tunnel entrance center. The proposed visual information quantification method effectively evaluates the impact of tunnel entrance environmental characteristics on driving visual workload. Appropriately controlling the proportion of traffic sign information (15%–25.55%) helps balance visual workload and comfort, while excessive or insufficient information may lead to discomfort due to underload or overload. These findings provide theoretical guidance and practical recommendations for optimizing tunnel entrance landscape design, traffic sign arrangement, and traffic safety enhancement.