cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18738/t8/uoes4s/uchalv
title: Vid2RealPhase2_P25_vlp16_000110.bin
DOI: 10.18738/t8/uoes4s/zufecn
title: Vid2RealPhase2_P25_vlp16_000222.bin
DOI: 10.18738/t8/uoes4s/othuvj
title: Vid2RealPhase2_P25_vlp16_000135.bin
DOI: 10.18738/t8/uoes4s/qcb5wa
title: Vid2RealPhase2_P25_vlp16_000198.bin
DOI: 10.18738/t8/uoes4s/akffl3
title: Vid2RealPhase2_P25_vlp16_000149.bin
DOI: 10.18738/t8/uoes4s/xhpuax
title: Vid2RealPhase2_P25_vlp16_000011.bin
DOI: 10.18738/t8/uoes4s/osyd74
title: Vid2RealPhase2_P25_vlp16_000259.bin
DOI: 10.18738/t8/uoes4s/snzc3r
title: Vid2RealPhase2_P25_vlp16_000306.bin
DOI: 10.18738/t8/uoes4s/fvobot
title: Vid2RealPhase2_P25_vlp16_000016.bin
DOI: 10.18738/t8/uoes4s/x4ttbr
title: Vid2RealPhase2_P25_vlp16_000288.bin
DOI: 10.18738/t8/uoes4s/hmshib
title: Vid2RealPhase2_P25_vlp16_000132.bin
DOI: 10.18738/t8/uoes4s/ux2ydi
title: Vid2RealPhase2_P25_vlp16_000225.bin
DOI: 10.18738/t8/uoes4s/ztbxgt
title: Vid2RealPhase2_P25_vlp16_000301.bin
DOI: 10.18738/t8/uoes4s/ysbfcq
title: Vid2RealPhase2_P25_vlp16_000257.bin
DOI: 10.18738/t8/uoes4s/ziwom0
title: Vid2RealPhase2_P25_vlp16_000191.bin
DOI: 10.18738/t8/uoes4s/1o9fns
title: Vid2RealPhase2_P25_vlp16_000140.bin
DOI: 10.18738/t8/uoes4s/es9ryn
title: Vid2RealPhase2_P25_vlp16_000286.bin
DOI: 10.18738/t8/uoes4s/1ockdk
title: Vid2RealPhase2_P25_vlp16_000018.bin
DOI: 10.18738/t8/uoes4s/v6qlhs
title: Vid2RealPhase2_P25_vlp16_000064.bin
DOI: 10.15468/dl.fcxhsn
title: Occurrence Download

description: A dataset containing 932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis inamoena K.Schum.",
 "Continent is Africa"
 ]
}

 The dataset includes 932 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008112-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/5i5f8q
title: Vid2RealPhase2_P25_vlp16_000250.bin
DOI: 10.18738/t8/uoes4s/8x8jbw
title: Vid2RealPhase2_P25_vlp16_000063.bin
DOI: 10.18738/t8/uoes4s/3cmjxa
title: Vid2RealPhase2_P25_vlp16_000196.bin
DOI: 10.18738/t8/uoes4s/pwenzh
title: Vid2RealPhase2_P25_vlp16_000147.bin
DOI: 10.18738/t8/uoes4s/2bsjbu
title: Vid2RealPhase2_P25_vlp16_000219.bin
DOI: 10.18738/t8/uoes4s/k4pd2a
title: Vid2RealPhase2_P25_vlp16_000308.bin
DOI: 10.18738/t8/uoes4s/plw44j
title: Vid2RealPhase2_P25_vlp16_000281.bin
DOI: 10.6084/m9.figshare.26970329
title: Off-Policy Evaluation in Doubly Inhomogeneous Environments

description: <b>This work aims to study off-policy evaluation (OPE) under scenarios where two key reinforcement learning (RL) assumptions—temporal stationarity and individual homogeneity are both violated. To handle the “double inhomogeneities”, we propose a class of latent factor models for the reward and transition functions, under which we develop a general OPE framework that consists of both model-based and model-free approaches. To our knowledge, this is the first article that develops statistically sound OPE methods in offline RL with double inhomogeneities. It contributes to a deeper understanding of OPE in environments, where standard RL assumptions are not met, and provides several practical approaches in these settings. We establish the theoretical properties of the proposed value estimators and empirically show that our approach outperforms state-of-the-art methods. Finally, we illustrate our method on a dataset from the Medical Information Mart for Intensive Care. An R implementation of the proposed procedure is available at</b>https://github.com/ZeyuBian/2FEOPE<b>. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.</b>
DOI: 10.18738/t8/uoes4s/2by49a
title: Vid2RealPhase2_P25_vlp16_000087.bin
DOI: 10.18738/t8/uoes4s/ffbicl
title: Vid2RealPhase2_P25_vlp16_000056.bin
DOI: 10.18738/t8/uoes4s/sgzj6j
title: Vid2RealPhase2_P25_vlp16_000172.bin
DOI: 10.18738/t8/uoes4s/sltcbk
title: Vid2RealPhase2_P25_vlp16_000265.bin
DOI: 10.6084/m9.figshare.26970329.v1
title: Off-policy Evaluation in Doubly Inhomogeneous Environments

description: This work aims to study off-policy evaluation (OPE) under scenarios where two key reinforcement learning (RL) assumptions – temporal stationarity and individual homogeneity are both violated. To handle the “double inhomogeneities”, we propose a class of latent factor models for the reward and transition functions, under which we develop a general OPE framework that consists of both model-based and model-free approaches. To our knowledge, this is the first paper that develops statistically sound OPE methods in offline RL with double inhomogeneities. It contributes to a deeper understanding of OPE in environments, where standard RL assumptions are not met, and provides several practical approaches in these settings. We establish the theoretical properties of the proposed value estimators and empirically show that our approach outperforms state-of-the-art methods. Finally, we illustrate our method on a data set from the Medical Information Mart for Intensive Care. An R implementation of the proposed procedure is available at https://github.com/ZeyuBian/2FEOPE.
DOI: 10.6084/m9.figshare.26970329.v2
title: Off-Policy Evaluation in Doubly Inhomogeneous Environments

description: <b>This work aims to study off-policy evaluation (OPE) under scenarios where two key reinforcement learning (RL) assumptions—temporal stationarity and individual homogeneity are both violated. To handle the “double inhomogeneities”, we propose a class of latent factor models for the reward and transition functions, under which we develop a general OPE framework that consists of both model-based and model-free approaches. To our knowledge, this is the first article that develops statistically sound OPE methods in offline RL with double inhomogeneities. It contributes to a deeper understanding of OPE in environments, where standard RL assumptions are not met, and provides several practical approaches in these settings. We establish the theoretical properties of the proposed value estimators and empirically show that our approach outperforms state-of-the-art methods. Finally, we illustrate our method on a dataset from the Medical Information Mart for Intensive Care. An R implementation of the proposed procedure is available at</b>https://github.com/ZeyuBian/2FEOPE<b>. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.</b>
DOI: 10.18738/t8/uoes4s/iulzte
title: Vid2RealPhase2_P25_vlp16_000175.bin
DOI: 10.18738/t8/uoes4s/sinwrb
title: Vid2RealPhase2_P25_vlp16_000262.bin
DOI: 10.18738/t8/uoes4s/8xthk6
title: Vid2RealPhase2_P25_vlp16_000080.bin
DOI: 10.18738/t8/uoes4s/hshpjf
title: Vid2RealPhase2_P25_vlp16_000109.bin
DOI: 10.18738/t8/uoes4s/onwelm
title: Vid2RealPhase2_P25_vlp16_000051.bin
DOI: 10.18738/t8/uoes4s/jo09dz
title: Vid2RealPhase2_P25_vlp16_000023.bin
DOI: 10.18738/t8/uoes4s/tlw9is
title: Vid2RealPhase2_P25_vlp16_000107.bin
DOI: 10.6084/m9.figshare.26927741
title: Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects

description: There are a number of available methods for selecting whom to prioritize for treatment, including ones based on treatment effect estimation, risk scoring, and hand-crafted rules. We propose rank-weighted average treatment effect (RATE) metrics as a simple and general family of metrics for comparing and testing the quality of treatment prioritization rules. RATE metrics are agnostic as to how the prioritization rules were derived, and only assess how well they identify individuals that benefit the most from treatment. We define a family of RATE estimators and prove a central limit theorem that enables asymptotically exact inference in a wide variety of randomized and observational study settings. RATE metrics subsume a number of existing metrics, including the Qini coefficient, and our analysis directly yields inference methods for these metrics. We showcase RATE in the context of a number of applications, including optimal targeting of aspirin to stroke patients. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.26927741.v1
title: Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects

description: There are a number of available methods for selecting whom to prioritize for treatment, including ones based on treatment effect estimation, risk scoring, and hand-crafted rules. We propose rank-weighted average treatment effect (RATE) metrics as a simple and general family of metrics for comparing and testing the quality of treatment prioritization rules. RATE metrics are agnostic as to how the prioritization rules were derived, and only assess how well they identify individuals that benefit the most from treatment. We define a family of RATE estimators and prove a central limit theorem that enables asymptotically exact inference in a wide variety of randomized and observational study settings. RATE metrics subsume a number of existing metrics, including the Qini coefficient, and our analysis directly yields inference methods for these metrics. We showcase RATE in the context of a number of applications, including optimal targeting of aspirin to stroke patients. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.18738/t8/uoes4s/9lhaiq
title: Vid2RealPhase2_P25_vlp16_000210.bin
DOI: 10.18738/t8/uoes4s/q1dtuj
title: Vid2RealPhase2_P25_vlp16_000100.bin
DOI: 10.18738/t8/uoes4s/3hnpeh
title: Vid2RealPhase2_P25_vlp16_000089.bin
DOI: 10.18738/t8/uoes4s/rryfan
title: Vid2RealPhase2_P25_vlp16_000217.bin
DOI: 10.18738/t8/uoes4s/du1smb
title: Vid2RealPhase2_P25_vlp16_000024.bin
DOI: 10.18738/t8/uoes4s/lu4ftl
title: Vid2RealPhase2_P25_vlp16_000058.bin
DOI: 10.18738/t8/uoes4s/xf6dn4
title: Vid2RealPhase2_P25_vlp16_000049.bin
DOI: 10.18738/t8/uoes4s/ckdijf
title: Vid2RealPhase2_P25_vlp16_000111.bin
DOI: 10.18738/t8/uoes4s/dxjnab
title: Vid2RealPhase2_P25_vlp16_000098.bin
DOI: 10.18738/t8/uoes4s/wlgiik
title: Vid2RealPhase2_P25_vlp16_000206.bin
DOI: 10.18738/t8/uoes4s/5rctde
title: Vid2RealPhase2_P25_vlp16_000035.bin
DOI: 10.18738/t8/uoes4s/uexoss
title: Vid2RealPhase2_P25_vlp16_000032.bin
DOI: 10.15468/dl.fcru57
title: Occurrence Download

description: A dataset containing 296045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Thailand",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 296045 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008097-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/oir9ta
title: Vid2RealPhase2_P25_vlp16_000201.bin
DOI: 10.18738/t8/uoes4s/vdoxaf
title: Vid2RealPhase2_P25_vlp16_000116.bin
DOI: 10.18738/t8/uoes4s/4zajko
title: Vid2RealPhase2_P25_vlp16_000164.bin
DOI: 10.18738/t8/uoes4s/ih4uem
title: Vid2RealPhase2_P25_vlp16_000273.bin
DOI: 10.18738/t8/uoes4s/aulrc5
title: Vid2RealPhase2_P25_vlp16_000040.bin
DOI: 10.18738/t8/uoes4s/ucn1e1
title: Vid2RealPhase2_P25_vlp16_000091.bin
DOI: 10.18738/t8/uoes4s/3oqmm8
title: Vid2RealPhase2_P25_vlp16_000118.bin
DOI: 10.18738/t8/uoes4s/fbleli
title: Vid2RealPhase2_P25_vlp16_000047.bin
DOI: 10.18738/t8/uoes4s/qvgnkx
title: Vid2RealPhase2_P25_vlp16_000096.bin
DOI: 10.18738/t8/uoes4s/vascts
title: Vid2RealPhase2_P25_vlp16_000208.bin
DOI: 10.18738/t8/uoes4s/vhgosz
title: Vid2RealPhase2_P25_vlp16_000274.bin
DOI: 10.18738/t8/uoes4s/0j7xdu
title: Vid2RealPhase2_P25_vlp16_000163.bin
DOI: 10.18738/t8/uoes4s/hbjq77
title: Vid2RealPhase2_P25_vlp16_000072.bin
DOI: 10.18738/t8/uoes4s/7rcbwy
title: Vid2RealPhase2_P25_vlp16_000156.bin
DOI: 10.18738/t8/uoes4s/f2fohq
title: Vid2RealPhase2_P25_vlp16_000290.bin
DOI: 10.18738/t8/uoes4s/n2xktx
title: Vid2RealPhase2_P25_vlp16_000241.bin
DOI: 10.18738/t8/uoes4s/32vg1v
title: Vid2RealPhase2_P25_vlp16_000009.bin
DOI: 10.18738/t8/uoes4s/uufdnh
title: Vid2RealPhase2_P25_vlp16_000187.bin
DOI: 10.18738/t8/uoes4s/amcl1p
title: Vid2RealPhase2_P25_vlp16_000297.bin
DOI: 10.18738/t8/uoes4s/umspaj
title: Vid2RealPhase2_P25_vlp16_000151.bin
DOI: 10.18738/t8/uoes4s/8vrqmy
title: Vid2RealPhase2_P25_vlp16_000246.bin
DOI: 10.18738/t8/uoes4s/oacdgn
title: Vid2RealPhase2_P25_vlp16_000180.bin
DOI: 10.18738/t8/uoes4s/vqw7az
title: Vid2RealPhase2_P25_vlp16_000075.bin
DOI: 10.18738/t8/uoes4s/cz4rec
title: Vid2RealPhase2_P25_vlp16_000310.bin
DOI: 10.18738/t8/uoes4s/ispfkh
title: Vid2RealPhase2_P25_vlp16_000007.bin
DOI: 10.18738/t8/uoes4s/6pruul
title: Vid2RealPhase2_P25_vlp16_000299.bin
DOI: 10.18738/t8/uoes4s/mil8yp
title: Vid2RealPhase2_P25_vlp16_000248.bin
DOI: 10.18738/t8/uoes4s/mjb0yy
title: Vid2RealPhase2_P25_vlp16_000234.bin
DOI: 10.18738/t8/uoes4s/ohzken
title: Vid2RealPhase2_P25_vlp16_000124.bin
DOI: 10.18738/t8/uoes4s/prb4lc
title: Vid2RealPhase2_P25_vlp16_000123.bin
DOI: 10.18738/t8/uoes4s/ewct2s
title: Vid2RealPhase2_P25_vlp16_000000.bin
DOI: 10.18738/t8/uoes4s/sxuhsa
title: Vid2RealPhase2_P25_vlp16_000233.bin
DOI: 10.18738/t8/uoes4s/3vwp6v
title: Vid2RealPhase2_P25_vlp16_000158.bin
DOI: 10.18738/t8/uoes4s/yd4yzz
title: Vid2RealPhase2_P25_vlp16_000189.bin
DOI: 10.18738/t8/uoes4s/apdfbd
title: Vid2RealPhase2_P25_vlp16_000031.bin
DOI: 10.18738/t8/uoes4s/fyitjr
title: Vid2RealPhase2_P25_vlp16_000202.bin
DOI: 10.18738/t8/uoes4s/ygph4o
title: Vid2RealPhase2_P25_vlp16_000169.bin
DOI: 10.18738/t8/uoes4s/g37axj
title: Vid2RealPhase2_P25_vlp16_000205.bin
DOI: 10.18738/t8/uoes4s/hma1k2
title: Vid2RealPhase2_P25_vlp16_000115.bin
DOI: 10.18738/t8/uoes4s/fzlq05
title: Vid2RealPhase2_P25_vlp16_000036.bin
DOI: 10.18738/t8/uoes4s/hlrhsf
title: Vid2RealPhase2_P25_vlp16_000112.bin
DOI: 10.18738/t8/uoes4s/hk30mr
title: Vid2RealPhase2_P25_vlp16_000279.bin
DOI: 10.18738/t8/uoes4s/ayfvvw
title: Vid2RealPhase2_P25_vlp16_000044.bin
DOI: 10.18738/t8/uoes4s/w0tedb
title: Vid2RealPhase2_P25_vlp16_000095.bin
DOI: 10.18738/t8/uoes4s/zkleuk
title: Vid2RealPhase2_P25_vlp16_000038.bin
DOI: 10.18738/t8/uoes4s/etbgbn
title: Vid2RealPhase2_P25_vlp16_000160.bin
DOI: 10.18738/t8/uoes4s/lvsjzm
title: Vid2RealPhase2_P25_vlp16_000277.bin
DOI: 10.18738/t8/uoes4s/0yuz6h
title: Vid2RealPhase2_P25_vlp16_000270.bin
DOI: 10.18738/t8/uoes4s/txua7v
title: Vid2RealPhase2_P25_vlp16_000167.bin
DOI: 10.18738/t8/uoes4s/fccab6
title: Vid2RealPhase2_P25_vlp16_000043.bin
DOI: 10.18738/t8/uoes4s/msjbru
title: Vid2RealPhase2_P25_vlp16_000092.bin
DOI: 10.18738/t8/uoes4s/nphbcd
title: Vid2RealPhase2_P25_vlp16_000294.bin
DOI: 10.18738/t8/uoes4s/7ydlxv
title: Vid2RealPhase2_P25_vlp16_000152.bin
DOI: 10.18738/t8/uoes4s/7zxy4u
title: Vid2RealPhase2_P25_vlp16_000183.bin
DOI: 10.18738/t8/uoes4s/fugdef
title: Vid2RealPhase2_P25_vlp16_000076.bin
DOI: 10.18738/t8/uoes4s/noogg0
title: Vid2RealPhase2_P25_vlp16_000245.bin
DOI: 10.18738/t8/uoes4s/dllig0
title: Vid2RealPhase2_P25_vlp16_000071.bin
DOI: 10.18738/t8/uoes4s/xb8czt
title: Vid2RealPhase2_P25_vlp16_000239.bin
DOI: 10.18738/t8/uoes4s/bhmwnl
title: Vid2RealPhase2_P25_vlp16_000129.bin
DOI: 10.18738/t8/uoes4s/paouju
title: Vid2RealPhase2_P25_vlp16_000155.bin
DOI: 10.18738/t8/uoes4s/pi4i51
title: Vid2RealPhase2_P25_vlp16_000293.bin
DOI: 10.18738/t8/uoes4s/evzcnk
title: Vid2RealPhase2_P25_vlp16_000242.bin
DOI: 10.18738/t8/uoes4s/eylsm2
title: Vid2RealPhase2_P25_vlp16_000184.bin
DOI: 10.18738/t8/uoes4s/8skkxi
title: Vid2RealPhase2_P25_vlp16_000127.bin
DOI: 10.18738/t8/uoes4s/eubkft
title: Vid2RealPhase2_P25_vlp16_000314.bin
DOI: 10.18738/t8/uoes4s/mdi3dk
title: Vid2RealPhase2_P25_vlp16_000230.bin
DOI: 10.18738/t8/uoes4s/uhzys9
title: Vid2RealPhase2_P25_vlp16_000003.bin
DOI: 10.18738/t8/uoes4s/88jcjh
title: Vid2RealPhase2_P25_vlp16_000004.bin
DOI: 10.18738/t8/uoes4s/t37ch4
title: Vid2RealPhase2_P25_vlp16_000313.bin
DOI: 10.18738/t8/uoes4s/6irq8v
title: Vid2RealPhase2_P25_vlp16_000078.bin
DOI: 10.18738/t8/uoes4s/krohhx
title: Vid2RealPhase2_P25_vlp16_000120.bin
DOI: 10.18738/t8/uoes4s/igioge
title: Vid2RealPhase2_P25_vlp16_000237.bin
DOI: 10.18738/t8/uoes4s/jtywkx
title: Vid2RealPhase2_P25_vlp16_000015.bin
DOI: 10.15468/dl.vaghgz
title: Occurrence Download

description: A dataset containing 2080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caiman latirostris (Daudin, 1801)"
 ]
}

 The dataset includes 2080 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008113-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/8eb3aq
title: Vid2RealPhase2_P25_vlp16_000131.bin
DOI: 10.18738/t8/uoes4s/dnthio
title: Vid2RealPhase2_P25_vlp16_000302.bin
DOI: 10.18738/t8/uoes4s/vstmeg
title: Vid2RealPhase2_P25_vlp16_000226.bin
DOI: 10.18738/t8/uoes4s/81nwt5
title: Vid2RealPhase2_P25_vlp16_000069.bin
DOI: 10.18738/t8/uoes4s/knrmyu
title: Vid2RealPhase2_P25_vlp16_000221.bin
DOI: 10.18738/t8/uoes4s/ejfhme
title: Vid2RealPhase2_P25_vlp16_000012.bin
DOI: 10.18738/t8/uoes4s/wakfq0
title: Vid2RealPhase2_P25_vlp16_000136.bin
DOI: 10.18738/t8/uoes4s/ntrypl
title: Vid2RealPhase2_P25_vlp16_000305.bin
DOI: 10.18738/t8/uoes4s/vxl1bi
title: Vid2RealPhase2_P25_vlp16_000138.bin
DOI: 10.18738/t8/uoes4s/k8fjo0
title: Vid2RealPhase2_P25_vlp16_000060.bin
DOI: 10.18738/t8/uoes4s/wcpxay
title: Vid2RealPhase2_P25_vlp16_000195.bin
DOI: 10.18738/t8/uoes4s/cqd790
title: Vid2RealPhase2_P25_vlp16_000282.bin
DOI: 10.18738/t8/uoes4s/jyk6hg
title: Vid2RealPhase2_P25_vlp16_000253.bin
DOI: 10.18738/t8/uoes4s/aoplbx
title: Vid2RealPhase2_P25_vlp16_000144.bin
DOI: 10.18738/t8/uoes4s/enovew
title: Vid2RealPhase2_P25_vlp16_000192.bin
DOI: 10.18738/t8/uoes4s/g5mekr
title: Vid2RealPhase2_P25_vlp16_000254.bin
DOI: 10.18738/t8/uoes4s/wgnesr
title: Vid2RealPhase2_P25_vlp16_000285.bin
DOI: 10.18738/t8/uoes4s/5y4dwd
title: Vid2RealPhase2_P25_vlp16_000228.bin
DOI: 10.18738/t8/uoes4s/fy3xod
title: Vid2RealPhase2_P25_vlp16_000067.bin
DOI: 10.18738/t8/uoes4s/lfjqhm
title: Vid2RealPhase2_P25_vlp16_000143.bin
DOI: 10.18738/t8/uoes4s/cxibep
title: Vid2RealPhase2_P25_vlp16_000261.bin
DOI: 10.18738/t8/uoes4s/vgajap
title: Vid2RealPhase2_P25_vlp16_000176.bin
DOI: 10.18738/t8/uoes4s/4zxqt8
title: Vid2RealPhase2_P25_vlp16_000083.bin
DOI: 10.18738/t8/uoes4s/kucjot
title: Vid2RealPhase2_P25_vlp16_000052.bin
DOI: 10.18738/t8/uoes4s/zkgc4p
title: Vid2RealPhase2_P25_vlp16_000084.bin
DOI: 10.18738/t8/uoes4s/jowipa
title: Vid2RealPhase2_P25_vlp16_000055.bin
DOI: 10.18738/t8/uoes4s/x2173w
title: Vid2RealPhase2_P25_vlp16_000171.bin
DOI: 10.18738/t8/uoes4s/0vu5ys
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DOI: 10.18738/t8/uoes4s/lzk0go
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DOI: 10.18738/t8/uoes4s/soiux5
title: Vid2RealPhase2_P25_vlp16_000103.bin
DOI: 10.18738/t8/uoes4s/ugzoqy
title: Vid2RealPhase2_P25_vlp16_000214.bin
DOI: 10.18738/t8/uoes4s/dt3xe1
title: Vid2RealPhase2_P25_vlp16_000268.bin
DOI: 10.18738/t8/uoes4s/gotrcy
title: Vid2RealPhase2_P25_vlp16_000178.bin
DOI: 10.18738/t8/uoes4s/mkm0rq
title: Vid2RealPhase2_P25_vlp16_000027.bin
DOI: 10.18738/t8/uoes4s/e9tg18
title: Vid2RealPhase2_P25_vlp16_000104.bin
DOI: 10.18738/t8/uoes4s/h1wdnv
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DOI: 10.18738/t8/uoes4s/vr0ndb
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DOI: 10.18738/t8/uoes4s/wbkri0
title: Vid2RealPhase2_P25_vlp16_000312.bin
DOI: 10.18738/t8/uoes4s/4irndx
title: Vid2RealPhase2_P25_vlp16_000079.bin
DOI: 10.18738/t8/uoes4s/8peasr
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DOI: 10.18738/t8/uoes4s/0ndw8w
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DOI: 10.18738/t8/uoes4s/vq44hd
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DOI: 10.18738/t8/uoes4s/gbmivp
title: Vid2RealPhase2_P25_vlp16_000231.bin
DOI: 10.18738/t8/uoes4s/ime4gx
title: Vid2RealPhase2_P25_vlp16_000126.bin
DOI: 10.18738/t8/uoes4s/mqsbdc
title: Vid2RealPhase2_P25_vlp16_000315.bin
DOI: 10.18738/t8/uoes4s/oezo5n
title: Vid2RealPhase2_P25_vlp16_000002.bin
DOI: 10.18738/t8/uoes4s/x7hd60
title: Vid2RealPhase2_P25_vlp16_000070.bin
DOI: 10.18738/t8/uoes4s/dfo5ns
title: Vid2RealPhase2_P25_vlp16_000128.bin
DOI: 10.18738/t8/uoes4s/jgenfc
title: Vid2RealPhase2_P25_vlp16_000292.bin
DOI: 10.18738/t8/uoes4s/7pzmis
title: Vid2RealPhase2_P25_vlp16_000154.bin
DOI: 10.18738/t8/uoes4s/ya1scd
title: Vid2RealPhase2_P25_vlp16_000185.bin
DOI: 10.18738/t8/uoes4s/38u3zw
title: Vid2RealPhase2_P25_vlp16_000243.bin
DOI: 10.18738/t8/uoes4s/r05igp
title: Vid2RealPhase2_P25_vlp16_000295.bin
DOI: 10.18738/t8/uoes4s/55bh6o
title: Vid2RealPhase2_P25_vlp16_000182.bin
DOI: 10.18738/t8/uoes4s/tbxist
title: Vid2RealPhase2_P25_vlp16_000153.bin
DOI: 10.18738/t8/uoes4s/ngdvh1
title: Vid2RealPhase2_P25_vlp16_000244.bin
DOI: 10.18738/t8/uoes4s/97vkio
title: Vid2RealPhase2_P25_vlp16_000271.bin
DOI: 10.18738/t8/uoes4s/ktrucf
title: Vid2RealPhase2_P25_vlp16_000077.bin
DOI: 10.18738/t8/uoes4s/pc0je3
title: Vid2RealPhase2_P25_vlp16_000238.bin
DOI: 10.18738/t8/uoes4s/da0x7a
title: Vid2RealPhase2_P25_vlp16_000166.bin
DOI: 10.15468/dl.vpayvj
title: Occurrence Download

description: A dataset containing 1462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis japonica (Thunb.) Trin.",
 "Continent is Africa"
 ]
}

 The dataset includes 1462 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008115-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/uoes4s/2kz01d
title: Vid2RealPhase2_P25_vlp16_000042.bin
DOI: 10.18738/t8/uoes4s/aj7lka
title: Vid2RealPhase2_P25_vlp16_000045.bin
DOI: 10.18738/t8/uoes4s/e7fdnw
title: Vid2RealPhase2_P25_vlp16_000093.bin
DOI: 10.18738/t8/uoes4s/khim35
title: Vid2RealPhase2_P25_vlp16_000094.bin
DOI: 10.18738/t8/uoes4s/nkbi9a
title: Vid2RealPhase2_P25_vlp16_000039.bin
DOI: 10.18738/t8/uoes4s/5y5ebz
title: Vid2RealPhase2_P25_vlp16_000161.bin
DOI: 10.18738/t8/uoes4s/uhpv2k
title: Vid2RealPhase2_P25_vlp16_000276.bin
DOI: 10.18738/t8/uoes4s/imozux
title: Vid2RealPhase2_P25_vlp16_000113.bin
DOI: 10.18738/t8/uoes4s/rssuqt
title: Vid2RealPhase2_P25_vlp16_000204.bin
DOI: 10.18738/t8/uoes4s/lp6nym
title: Vid2RealPhase2_P25_vlp16_000037.bin
DOI: 10.18738/t8/uoes4s/5i8g9y
title: Vid2RealPhase2_P25_vlp16_000168.bin
DOI: 10.18738/t8/uoes4s/skrb1a
title: Vid2RealPhase2_P25_vlp16_000030.bin
DOI: 10.18738/t8/uoes4s/xttrfe
title: Vid2RealPhase2_P25_vlp16_000278.bin
DOI: 10.18738/t8/uoes4s/06ohoc
title: Vid2RealPhase2_P25_vlp16_000114.bin
DOI: 10.18738/t8/uoes4s/dfv29n
title: Vid2RealPhase2_P25_vlp16_000203.bin
DOI: 10.18738/t8/uoes4s/uxbp34
title: Vid2RealPhase2_P25_vlp16_000021.bin
DOI: 10.18738/t8/uoes4s/y8wmf7
title: Vid2RealPhase2_P25_vlp16_000179.bin
DOI: 10.18738/t8/uoes4s/funn2d
title: Vid2RealPhase2_P25_vlp16_000105.bin
DOI: 10.18738/t8/uoes4s/ddcfid
title: Vid2RealPhase2_P25_vlp16_000212.bin
DOI: 10.18738/t8/uoes4s/uqsl5j
title: Vid2RealPhase2_P25_vlp16_000102.bin
DOI: 10.18738/t8/uoes4s/eafe56
title: Vid2RealPhase2_P25_vlp16_000215.bin
DOI: 10.18738/t8/uoes4s/xsuyzp
title: Vid2RealPhase2_P25_vlp16_000269.bin
DOI: 10.18738/t8/uoes4s/7b1qpp
title: Vid2RealPhase2_P25_vlp16_000026.bin
DOI: 10.18738/t8/uoes4s/pixzkp
title: Vid2RealPhase2_P25_vlp16_000085.bin
DOI: 10.18738/t8/uoes4s/a57yb4
title: Vid2RealPhase2_P25_vlp16_000170.bin
DOI: 10.18738/t8/uoes4s/ploky5
title: Vid2RealPhase2_P25_vlp16_000054.bin
DOI: 10.18738/t8/uoes4s/guzt2t
title: Vid2RealPhase2_P25_vlp16_000028.bin
DOI: 10.18738/t8/uoes4s/hkoffv
title: Vid2RealPhase2_P25_vlp16_000267.bin
DOI: 10.18738/t8/uoes4s/mxed0k
title: Vid2RealPhase2_P25_vlp16_000177.bin
DOI: 10.18738/t8/uoes4s/lfewcg
title: Vid2RealPhase2_P25_vlp16_000053.bin
DOI: 10.18738/t8/uoes4s/rt3peb
title: Vid2RealPhase2_P25_vlp16_000082.bin
DOI: 10.18738/t8/uoes4s/tunl2a
title: Vid2RealPhase2_P25_vlp16_000260.bin
DOI: 10.18738/t8/uoes4s/9x8ty8
title: Vid2RealPhase2_P25_vlp16_000193.bin