cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/jmksaw/uzwfgs
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/dgoh1e
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/fpl3h7
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/cplm9k
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ani95f
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/daliij
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rbky81
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/hojlbl
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/asdvle
title: 10.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/vl9efh
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/7ow9ql
title: 2.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/sr1fsa
title: Group.Auto+Neigh.kDistance_l2_k5_max.tab
DOI: 10.13130/rd_unimi/jmksaw/ckkpfn
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rnzgbc
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/fmxwgn
title: input.jsonc
DOI: 10.13130/rd_unimi/jmksaw/sqxjat
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ejdztu
title: 2.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/nntygz
title: 8.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/ahy8hj
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/cnza0u
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/y8l3mw
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/t2n22s
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/b8mhrn
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/eempaf
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/zqo7ky
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/w50zic
title: Neigh.kDistance_l2_k5_max.tab
DOI: 10.13130/rd_unimi/jmksaw/kz0ukm
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qwoibf
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tj1n7t
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qjkigl
title: Group.Auto+Neigh.kDistance_l2_k10_max.tab
DOI: 10.13130/rd_unimi/jmksaw/omzjjv
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/479vbx
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/kdroln
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/t7qjtg
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/5vbdah
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wxrgr1
title: 4.0_0.0_neigh.html
DOI: 10.5066/p9olr10c
title: Percent Shrub Cover for the Desatoya Mountains, Nevada, Derived from Worldview-2 and UAS Imagery (2018)

description: Accurate maps of habitat availability for Greater Sage-grouse (Centrocercus urophasianus) across broad extents are of paramount importance to conservation efforts in sagebrush ecosystems across the Great Basin, particularly for habitat assessments and mitigation efforts. However, the ability to model sage-grouse habitat at fine spatial scales necessary for microhabitat assessment is constrained by the spatial and spectral resolution of most measurements remotely sensed of vegetation composition. Fractional approaches that scale plot-based measures of vegetation composition to satellite imagery that yield estimates of percent cover at relatively coarse resolution (e.g., 30 x 30 meter pixels) are well suited for regional and local estimates at relatively broad spatial scales (e.g., 3rd order macrohabitat selection and availability), but precision at individual pixels that could represent finer selection patterns by sage-grouse (e.g., 4th order microhabitat selection) is often poor. Here, we present results from a proof-of-concept study at a sagebrush site in central Nevada, where estimates of shrub cover in training plots derived from ultra-high-resolution (near 3 centimeters) imagery collected with uncrewed aircraft systems (UAS) are applied to multi-spectral WorldView-2 scenes using regression tree (RT) models. The approach yields fractional estimates of shrub cover at a 2 meter resolution that more closely correlate with actual field measurements that reflect finer selection patterns of sage-grouse compared to other widely available fractional products most suited for macrohabitat applications. An advantage of the UAS-RT approach is that large volumes of training data can be collected rapidly from UAS compared to traditional ground-based vegetation surveys, which could ultimately yield previously lacking estimates of microhabitat availability across macrohabitat or landscape level extents. Our map was highly accurate (mean absolute error of 7.28) compared to the measured accuracy of other available products, captured land cover and shrub variability in high-resolution, and can be used to develop predictive models of sagebrush and sage-grouse response to management actions.
DOI: 10.13130/rd_unimi/jmksaw/18vcoj
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tfwfkj
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qtxyts
title: 3.0_0.0_neigh.html
DOI: 10.15468/dl.y82qsv
title: Occurrence Download

description: A dataset containing 122033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula rapunculoides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 122033 records from 733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039960-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/xgnaql
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/bjumbb
title: 8.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/2jumb6
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tr3bed
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/mfofuk
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/50eju9
title: Neigh.kDistance_l2_k5_max.tab
DOI: 10.15468/dl.ms5m24
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Colombia, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pudu mephistophiles"
 ]
}

 The dataset includes 115 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039979-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/9ovewc
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/8wfsyg
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wrqk2y
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/gp5bht
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/yunokz
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/x9sfn7
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/4mileg
title: 4.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/vnwcst
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/cewnnl
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lhp4vc
title: Group.Auto+Neigh.kDistance_l2_k50_max.tab
DOI: 10.13130/rd_unimi/jmksaw/gbg98p
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/6fwwyt
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/otisbc
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rnv7ix
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/eyalbo
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/vpqxxf
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/glqak9
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/5lbc31
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/v9vjhc
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ty9ixm
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/fjpp51
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/jh7eg7
title: Group.Auto+Neigh.kDistance_l2_k15_max.tab
DOI: 10.13130/rd_unimi/jmksaw/69nyiw
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/9bowqz
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/zyhyvd
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/0jjfds
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/i5ozof
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/zue4lx
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ewcfs9
title: 5.0_0.0_neigh.html
DOI: 10.15468/dl.q5e8vj
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.1.8_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalacrocorax carbo",
 "Year 1980-1990"
 ]
}

 The dataset includes 39 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039980-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/cyegzp
title: Neigh.kDistance_l2_k50_max.tab
DOI: 10.15468/dl.xnc7bw
title: Occurrence Download

description: A dataset containing 21452466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21452466 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039965-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/qcoepi
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/fjnqqv
title: Group.Auto+Neigh.kDistance_l2_k15_max.tab
DOI: 10.13130/rd_unimi/jmksaw/msulnf
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/bzmywg
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/kpsa4j
title: Neigh.kDistance_l2_k25_max.tab
DOI: 10.13130/rd_unimi/jmksaw/yuadmt
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/dvshiz
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/xsurdu
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/pmt0ak
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ztqfv6
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/kblmhn
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/484knj
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/1ljwg0
title: 10.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/7qnj6s
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/pjozxz
title: Group.Auto+Neigh.kDistance_l2_k15_div.tab
DOI: 10.13130/rd_unimi/jmksaw/pyegme
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/ihae85
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/5fuhzh
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qkzfx7
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/5ceqtw
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/63oljc
title: Group.Auto+Neigh.kDistance_l2_k15_div.tab
DOI: 10.13130/rd_unimi/jmksaw/tro2lu
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/h5czvd
title: Neigh.kDistance_l2_k15_max.tab
DOI: 10.13130/rd_unimi/jmksaw/9deydv
title: Neigh.kDistance_l2_k25_div.tab
DOI: 10.13130/rd_unimi/jmksaw/vetenh
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/fhfblz
title: Group.Auto+Neigh.kDistance_l2_k10_div.tab
DOI: 10.13130/rd_unimi/jmksaw/6jublg
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/41lkv5
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/fcsrnu
title: 4.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/urqxz9
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rqfvvk
title: Group.Auto+Neigh.kDistance_l2_k10_max.tab
DOI: 10.13130/rd_unimi/jmksaw/wmabqk
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/3dh7dh
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/dyqi7y
title: Distance.Clustering_max.tab
DOI: 10.13130/rd_unimi/jmksaw/iaotvo
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/by3rgi
title: Neigh.kDistance_l2_k15_div.tab
DOI: 10.13130/rd_unimi/jmksaw/eckc4g
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/pppjqa
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/3smc8k
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ymrtk4
title: 5.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/ucuctf
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rilwcc
title: input.jsonc
DOI: 10.13130/rd_unimi/jmksaw/nakqub
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/sef58a
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/awr7pn
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/j573pt
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lyffbe
title: Group.Auto+Neigh.kDistance_l2_k5_div.tab
DOI: 10.13130/rd_unimi/jmksaw/d4mhjp
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/avhnxa
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/nithfo
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/pbngb0
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/5uel4v
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/i7uunl
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ek10ej
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/essy0e
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/vk6boz
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/znu7lr
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/aytipl
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/glmthf
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/vrtjvs
title: 4.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/wnwbnh
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/jmj9sn
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/hk5td8
title: Group.Auto+Neigh.kDistance_l2_k15_div.tab
DOI: 10.13130/rd_unimi/jmksaw/3nfhyk
title: 5.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/efsnly
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qlqzbv
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/mcomxk
title: Neigh.kDistance_l2_k50_max.tab
DOI: 10.13130/rd_unimi/jmksaw/3ysulh
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/x2cruz
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/isv5bt
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/yfy9eo
title: Distance.Clustering_max.tab
DOI: 10.13130/rd_unimi/jmksaw/szoctv
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/xirqhk
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qstb6t
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/4fq5ix
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/gbylql
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rhmuvo
title: f2.2-sb-targeted-clustering.jsonc
DOI: 10.13130/rd_unimi/jmksaw/aapvcz
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/cwcs5s
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/oegxzu
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/d3j0ox
title: Neigh.kDistance_l2_k50_div.tab
DOI: 10.13130/rd_unimi/jmksaw/j3j0i9
title: Neigh.kDistance_l2_k50_max.tab
DOI: 10.13130/rd_unimi/jmksaw/niyjr8
title: 4.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/kld2d0
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/1clu9x
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lz3wiv
title: Distance.Boundary_div.tab
DOI: 10.13130/rd_unimi/jmksaw/1g2pcw
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/kgbcey
title: 10.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/7jov8o
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/b95rbd
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/zxxnby
title: Group.Auto+Neigh.kDistance_l2_k5_div.tab
DOI: 10.13130/rd_unimi/jmksaw/kicgpo
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ces3cs
title: Group.Auto+Neigh.kDistance_l2_k10_div.tab
DOI: 10.13130/rd_unimi/jmksaw/q4rxje
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/umdbif
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/mobgqp
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/dekk7v
title: 7.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/chtxdv
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/iqgbat
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/z2oqdb
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/2rnebd
title: 5.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/ojlajb
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rf06gx
title: Group.Auto+Group.Auto+Neigh.kDistance_l2_k50_div.tab
DOI: 10.13130/rd_unimi/jmksaw/svvvdk
title: Neigh.kDistance_l2_k50_max.tab
DOI: 10.13130/rd_unimi/jmksaw/rpxfa9
title: 8.0_0.0_neigh.html
DOI: 10.82144/d1fabed6
title: Happywhale - Leopard seal in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/4k8zq7
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/su91zw
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/c6vhl0
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/gtzrwb
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/j8yk7x
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/bbzpea
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/jtswnv
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/r1jqwd
title: Neigh.kDistance_l2_k10_max.tab
DOI: 10.13130/rd_unimi/jmksaw/zs9ilv
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/euaduw
title: Group.Auto+Neigh.kDistance_l2_k5_div.tab
DOI: 10.13130/rd_unimi/jmksaw/3fwz9t
title: 2.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wonmoy
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/nq3k6j
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/yn7mnv
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/vvo4sc
title: 8.0_0.0_neigh.html
DOI: 10.82144/38394c70
title: Happywhale - Weddell seal in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/qahwb4
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wpdjqa
title: 6.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/dmvh5o
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/qmdjip
title: Group.Auto+Neigh.kDistance_l2_k5_max.tab
DOI: 10.13130/rd_unimi/jmksaw/wrcbec
title: Neigh.kDistance_l2_k25_div.tab
DOI: 10.13130/rd_unimi/jmksaw/yz4dvq
title: 7.0_0.0_neigh.html
DOI: 10.15468/dl.zavseq
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.8688 21.44913, -105.7188 21.44913, -105.7188 21.59913, -105.8688 21.59913, -105.8688 21.44913))"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039982-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/6gmk9x
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/6uwlyw
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/jganfs
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/xvmucx
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/rdrvww
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/p9lq7s
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/cddpmd
title: m2_clustering_dist.bound_max_eps6.csv_PIC.png
DOI: 10.13130/rd_unimi/jmksaw/eg9ude
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/9ealoe
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ama6p7
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/guvd66
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tsw35t
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/pdvuvy
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lldh98
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/jbqbyb
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lzlhok
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/selszm
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/2coobs
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/bchlyx
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/d1xzts
title: 8.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/knvo2u
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wkt4sh
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/uws5ec
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/sn7l1t
title: 3.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/p14f9o
title: 11.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wvmm6a
title: 9.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/fjzgvi
title: 10.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/2ghedu
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/wgyxxa
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/mdy4fa
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/ag81aw
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/s00jw1
title: Group.Auto+Neigh.kDistance_l2_k25_max.tab
DOI: 10.13130/rd_unimi/jmksaw/ucpllb
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/uipuw6
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/etgxaj
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/cqjkfs
title: 2.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/n921br
title: 7.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tspgj4
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/5cbajw
title: 6.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/uunt6e
title: 8.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/1arziw
title: 9.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/z9xxsu
title: 3.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/jfnqsw
title: 5.0_0.0_distance.html
DOI: 10.13130/rd_unimi/jmksaw/npz5pc
title: 4.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/lnvhdp
title: Group.Auto+Neigh.kDistance_l2_k10_max.tab
DOI: 10.13130/rd_unimi/jmksaw/vtywfq
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/tczx4s
title: 5.0_0.0_neigh.html
DOI: 10.13130/rd_unimi/jmksaw/umubjd
title: Group.Auto+Neigh.kDistance_l2_k10_max.tab
DOI: 10.13130/rd_unimi/jmksaw/n1nvfs
title: 11.0_0.0_neigh.html
DOI: 10.15468/dl.6c7qqn
title: Occurrence Download

description: A dataset containing 35888979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Specimen, Fossil, Living Specimen, Observation)",
 "Continent is North America",
 "Country is Mexico",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 1000-2025"
 ]
}

 The dataset includes 35888979 records from 2605 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039943-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16936683
title: bgbff
DOI: 10.5281/zenodo.16936684
title: bgbff
DOI: 10.15468/dl.wu7euh
title: Occurrence Download

description: A dataset containing 36329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Setaria parviflora"
 ]
}

 The dataset includes 36329 records from 737 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039876-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs6x56
title: Occurrence Download

description: A dataset containing 1510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Branta hutchinsii",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1510 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039883-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.