cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6collfi/my3ysu
title: msXV_068v_MMSI+overhead+W530665_43_F.tif
DOI: 10.25346/s6collfi/nvp7so
title: msXV_068v_MMSI+overhead+W505R72_49_F.tif
DOI: 10.25346/s6collfi/tsytiw
title: msXV_068v_MMSI+overhead+W50587C_45_F.tif
DOI: 10.25346/s6collfi/tnjz5g
title: msXV_068v_MMSI+overhead+W505665_42_F.tif
DOI: 10.25346/s6collfi/x2b8qe
title: msXV_068v_MMSI+overhead+W450R72_48_F.tif
DOI: 10.13140/rg.2.2.17527.07845
title: Projeto Gaia: Aprendendo a Reciclar e a Combater o Lixo Ambiental por meio de um Jogo
DOI: 10.25346/s6collfi/j5qafk
title: msXV_068v_MMSI+overhead+W450R25_32_F.tif
DOI: 10.25346/s6collfi/v7zmmz
title: msXV_068v_MMSI+overhead+W450G58_36_F.tif
DOI: 10.25346/s6collfi/p0pbt1
title: msXV_068v_MMSI+overhead+W450B47_40_F.tif
DOI: 10.25346/s6collfi/6hxmr6
title: msXV_068v_MMSI+overhead+W450665_41_F.tif
DOI: 10.25346/s6collfi/czsomj
title: msXV_068v_MMSI+overhead+W400R25_31_F.tif
DOI: 10.25346/s6collfi/dz5lql
title: msXV_068v_MMSI+overhead+W400G58_35_F.tif
DOI: 10.25346/s6collfi/stwnqg
title: msXV_068v_MMSI+overhead+W400B47_39_F.tif
DOI: 10.25346/s6collfi/omqaao
title: msXV_068v_MMSI+overhead+W385R25_30_F.tif
DOI: 10.25346/s6collfi/vemddu
title: msXV_068v_MMSI+overhead+W385G58_34_F.tif
DOI: 10.25346/s6collfi/6gdhxz
title: msXV_068v_MMSI+overhead+W385B47_38_F.tif
DOI: 10.25346/s6collfi/msy3aq
title: msXV_068v_MMSI+overhead+W365R25_29_F.tif
DOI: 10.25346/s6collfi/zf7lrb
title: msXV_068v_MMSI+overhead+W365G58_33_F.tif
DOI: 10.25346/s6collfi/0q15m1
title: msXV_068v_MMSI+overhead+W365B47_37_F.tif
DOI: 10.25346/s6collfi/xksmjs
title: msXV_068v_MMSI+overhead+TX940IR_26_F.tif
DOI: 10.25346/s6collfi/yselom
title: msXV_068v_MMSI+overhead+TX735IR_25_F.tif
DOI: 10.25346/s6collfi/jj7zh7
title: msXV_068v_MMSI+overhead+TX630RD_24_F.tif
DOI: 10.25346/s6collfi/ltvlkc
title: msXV_068v_MMSI+overhead+TX1050R_28_F.tif
DOI: 10.25346/s6collfi/nnw33v
title: msXV_068v_MMSI+overhead+TX1050R_27_F.tif
DOI: 10.25346/s6collfi/emszyc
title: msXV_068v_MMSI+overhead+RR940IR_23_F.tif
DOI: 10.25346/s6collfi/kknjta
title: msXV_068v_MMSI+overhead+RR450RB_22_F.tif
DOI: 10.25346/s6collfi/gt2zqu
title: msXV_068v_MMSI+overhead+RL940IR_21_F.tif
DOI: 10.25346/s6collfi/se2ltx
title: msXV_068v_MMSI+overhead+RL450RB_20_F.tif
DOI: 10.25346/s6collfi/bjlwk3
title: msXV_068v_MMSI+overhead+M1050IR_19_F.tif
DOI: 10.25346/s6collfi/drdmmi
title: msXV_068v_MMSI+overhead+M0940IR_67_F.tif
DOI: 10.15468/dl.nu38xy
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-1.94105 43.5661,-4.07087 44.67798,-9.64714 43.5661,-8.71777 41.97434,-6.31687 41.54104,-6.93646 40.95876,-7.3237 38.60825,-8.25308 36.14688,-4.49684 36.14688,-0.43081 36.73876,0.65347 39.30085,3.51905 41.13398,3.4416 42.57604,-1.94105 43.5661))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (8209258a-80e8-4094-aba2-a3febe5ed45b, 0363cbd4-f666-455e-8e86-0bbddcf51950, 6f3ccc65-0a54-4e65-ae7e-13b92d618e7c, 2522fd75-acb0-424b-8cc9-8d9e9e610d30, 823818f6-0696-4e29-bc4c-b6f3817535a7, cb202839-87c6-456a-821c-dc5b268a200f, 4c91866b-3c2e-4568-aca0-3ab0a1c1a45e)",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 200 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006507-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/oajpww
title: msXV_068v_MMSI+overhead+M0940IR_18_F.tif
DOI: 10.25346/s6collfi/e7gipm
title: msXV_068v_MMSI+overhead+M0850IR_66_F.tif
DOI: 10.25346/s6collfi/zz9b3n
title: msXV_068v_MMSI+overhead+M0850IR_17_F.tif
DOI: 10.25346/s6collfi/idegnp
title: msXV_068v_MMSI+overhead+M0780IR_16_F.tif
DOI: 10.25346/s6collfi/khsnpp
title: msXV_068v_MMSI+overhead+M0735IR_65_F.tif
DOI: 10.25346/s6collfi/99dvex
title: msXV_068v_MMSI+overhead+M0735IR_15_F.tif
DOI: 10.25346/s6collfi/as69jv
title: msXV_068v_MMSI+overhead+M0700IR_14_F.tif
DOI: 10.25346/s6collfi/ijdyde
title: msXV_068v_MMSI+overhead+M0655DR_64_F.tif
DOI: 10.25346/s6collfi/yjppky
title: msXV_068v_MMSI+overhead+M0655DR_13_F.tif
DOI: 10.25346/s6collfi/hfwbch
title: msXV_068v_MMSI+overhead+M0630RD_63_F.tif
DOI: 10.25346/s6collfi/ygehwn
title: msXV_068v_MMSI+overhead+M0630RD_12_F.tif
DOI: 10.25346/s6collfi/nslnqq
title: msXV_068v_MMSI+overhead+M0615RO_62_F.tif
DOI: 10.25346/s6collfi/xntgsg
title: msXV_068v_MMSI+overhead+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/ryfjng
title: msXV_068v_MMSI+overhead+M0590AM_61_F.tif
DOI: 10.5281/zenodo.17704270
title: OILA, MAKTAB VA JAMIYATNING YOSHLAR VATANPARVARLIGINI SHAKLLANTIRISHDAGI O'RNI

description: Yosh avlodni vatanparvarlik ruhida tarbiyalash — har bir jamiyatning strategik ustuvorligi, milliy barqarorlik va kelajak xavfsizligini ta'minlovchi muhim ijtimoiy vazifadir. Vatanparvarlik nafaqat harbiy xizmat yoki ona yurtni himoya qilish bilan chegaralanmaydi; u — milliy g‘urur, tarixiy xotira, fuqarolik mas'uliyati, ma'naviy-axloqiy qadriyatlar va jamiyatning umumiy farovonligi uchun fidoyilik tuyg‘usini o‘zida mujassam etuvchi keng qamrovli fenomen.
DOI: 10.5281/zenodo.17704269
title: OILA, MAKTAB VA JAMIYATNING YOSHLAR VATANPARVARLIGINI SHAKLLANTIRISHDAGI O'RNI

description: Yosh avlodni vatanparvarlik ruhida tarbiyalash — har bir jamiyatning strategik ustuvorligi, milliy barqarorlik va kelajak xavfsizligini ta'minlovchi muhim ijtimoiy vazifadir. Vatanparvarlik nafaqat harbiy xizmat yoki ona yurtni himoya qilish bilan chegaralanmaydi; u — milliy g‘urur, tarixiy xotira, fuqarolik mas'uliyati, ma'naviy-axloqiy qadriyatlar va jamiyatning umumiy farovonligi uchun fidoyilik tuyg‘usini o‘zida mujassam etuvchi keng qamrovli fenomen.
DOI: 10.25346/s6collfi/b8mfph
title: msXV_068v_MMSI+overhead+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/ipxucc
title: msXV_068v_MMSI+overhead+M0560LI_60_F.tif
DOI: 10.25346/s6collfi/ultt9l
title: msXV_068v_MMSI+overhead+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/rkfndy
title: msXV_068v_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.25346/s6collfi/8vzmfr
title: msXV_068v_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/sbqvql
title: msXV_068v_MMSI+overhead+M0505CN_58_F.tif
DOI: 10.25346/s6collfi/9pdnjq
title: msXV_068v_MMSI+overhead+M0505CN_07_F.tif
DOI: 10.25346/s6collfi/tdpwuc
title: msXV_068v_MMSI+overhead+M0470LB_57_F.tif
DOI: 10.25346/s6collfi/8ytafn
title: msXV_068v_MMSI+overhead+M0470LB_06_F.tif
DOI: 10.25346/s6collfi/attxgk
title: msXV_068v_MMSI+overhead+M0450RB_56_F.tif
DOI: 10.25346/s6collfi/lhmsdt
title: msXV_068v_MMSI+overhead+M0450RB_05_F.tif
DOI: 10.25346/s6collfi/wxgydr
title: msXV_068v_MMSI+overhead+M0420VI_55_F.tif
DOI: 10.25346/s6collfi/p1nf5z
title: msXV_068v_MMSI+overhead+M0420VI_04_F.tif
DOI: 10.25346/s6collfi/cdzudx
title: msXV_068v_MMSI+overhead+M0400UV_54_F.tif
DOI: 10.25346/s6collfi/ljwrbj
title: msXV_068v_MMSI+overhead+M0400UV_03_F.tif
DOI: 10.25346/s6collfi/fjbnex
title: msXV_068v_MMSI+overhead+M0385UV_53_F.tif
DOI: 10.25346/s6collfi/q10puu
title: msXV_068v_MMSI+overhead+M0385UV_02_F.tif
DOI: 10.25346/s6collfi/yfutki
title: msXV_068v_MMSI+overhead+M0365UV_52_F.tif
DOI: 10.25346/s6collfi/ntwy2z
title: msXV_068v_MMSI+overhead+M0365UV_01_F.tif
DOI: 10.25346/s6collfi/akd88p
title: msXV_068r_MMSI+overhead+W615R72_51_F.tif
DOI: 10.5281/zenodo.17593221
title: CHALLENGER: Detecting Copy Number Variants in Challenging Regions Using Whole Genome Sequencing Data

description: Copy number variation (CNV) detection remains a major challenge in whole-genome sequencing (WGS) data, particularly within repetitive, duplicated, and camouflaged genomic regions where short-read sequencing (srWGS) often fails to produce confident alignments. Although long-read WGS (lrWGS) substantially improves structural variant resolution, its high cost limits widespread adoption, especially in clinical settings. To address these limitations, we introduce CHALLENGER, a masked language modeling–based approach for clinical CNV detection using short-read depth signals over coding regions. While the model uses only short-read data as input, it can make calls typically accessible only with long reads, providing a cost-effective way to obtain information characteristic of both technologies. The model is pre-trained on semi–ground truth calls made on srWGS data and then fine-tuned using (i) lrWGS-derived, (ii) human expert–labeled, and (iii) experimentally validated CNV call sets, enabling it to learn technology- and labeling strategy–specific variant signatures hidden within srWGS profiles and to operate in challenging genomic regions. We show that our short-read–only approach improves the state-of-the-art CNV detection F1-score by 40.8%, while, for the first time, cap turing 80.3% of CNVs that can only be detected using long reads in challenging genomic regions. The improvement in F1-score in the set of human experts calls is 70.5% for duplications, and 24.6% for deletions in challenging genes. We also specialize CHALLENGER on paralog genes SMN1/2, AMY1/2, and NPY4R, and show that it can improve the performance on experimentally validated call sets while being able to make paralog-specific calls in addition to aggregate calls.
description: This repository provides processed samples, ground-truth data, and CNV predictions for the datasets used to reproduce the analyses in the paper: CHALLENGER: Detecting Copy Number Variants in Challenging Regions Using Whole Genome Sequencing Data.
DOI: 10.25346/s6collfi/jxfp87
title: msXV_068r_MMSI+overhead+W61587C_47_F.tif
DOI: 10.5281/zenodo.17593220
title: CHALLENGER: Detecting Copy Number Variants in Challenging Regions Using Whole Genome Sequencing Data

description: Copy number variation (CNV) detection remains a major challenge in whole-genome sequencing (WGS) data, particularly within repetitive, duplicated, and camouflaged genomic regions where short-read sequencing (srWGS) often fails to produce confident alignments. Although long-read WGS (lrWGS) substantially improves structural variant resolution, its high cost limits widespread adoption, especially in clinical settings. To address these limitations, we introduce CHALLENGER, a masked language modeling–based approach for clinical CNV detection using short-read depth signals over coding regions. While the model uses only short-read data as input, it can make calls typically accessible only with long reads, providing a cost-effective way to obtain information characteristic of both technologies. The model is pre-trained on semi–ground truth calls made on srWGS data and then fine-tuned using (i) lrWGS-derived, (ii) human expert–labeled, and (iii) experimentally validated CNV call sets, enabling it to learn technology- and labeling strategy–specific variant signatures hidden within srWGS profiles and to operate in challenging genomic regions. We show that our short-read–only approach improves the state-of-the-art CNV detection F1-score by 40.8%, while, for the first time, cap turing 80.3% of CNVs that can only be detected using long reads in challenging genomic regions. The improvement in F1-score in the set of human experts calls is 70.5% for duplications, and 24.6% for deletions in challenging genes. We also specialize CHALLENGER on paralog genes SMN1/2, AMY1/2, and NPY4R, and show that it can improve the performance on experimentally validated call sets while being able to make paralog-specific calls in addition to aggregate calls.
description: This repository provides processed samples, ground-truth data, and CNV predictions for the datasets used to reproduce the analyses in the paper: CHALLENGER: Detecting Copy Number Variants in Challenging Regions Using Whole Genome Sequencing Data.
DOI: 10.15468/dl.f6kfnb
title: Occurrence Download

description: A dataset containing 32759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cabomba caroliniana A.Gray, Cipangopaludina chinensis (J.E.Gray, 1833), Salvinia ×molesta D.S.Mitch., Xenopus laevis (Daudin, 1802), Apalone ferox (Schneider, 1783))",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2024",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32759 records from 369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009687-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxjdt7
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anulocaulis leiosolenus var. howardii Spellenb. & Wootten"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225268-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jz54f3
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aphanostephus ramosissimus DC."
 ]
}

 The dataset includes 1086 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215851-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shskrh
title: Occurrence Download

description: A dataset containing 2378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Allionia incarnata L."
 ]
}

 The dataset includes 2378 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209153-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a8rrj
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boerhavia linearifolia A.Gray"
 ]
}

 The dataset includes 178 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061163-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qks9fn
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boerhavia torreyana (S.Watson) Standl."
 ]
}

 The dataset includes 114 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061165-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzc4w9
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyphomeris gypsophiloides (M.Martens & Galeotti) Standl."
 ]
}

 The dataset includes 344 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061277-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt5uxp
title: Occurrence Download

description: A dataset containing 2418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boerhavia erecta L."
 ]
}

 The dataset includes 2418 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061162-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4m3n7
title: Occurrence Download

description: A dataset containing 2096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mirabilis linearis (Pursh) Heimerl"
 ]
}

 The dataset includes 2096 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074688-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qv3shb
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mirabilis oxybaphoides (A.Gray) A.Gray"
 ]
}

 The dataset includes 377 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074690-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s43rgr
title: Occurrence Download

description: A dataset containing 1394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mirabilis multiflora (Torr.) A.Gray"
 ]
}

 The dataset includes 1394 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074689-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62x28p
title: Occurrence Download

description: A dataset containing 1290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Menodora scabra Engelm. ex A.Gray"
 ]
}

 The dataset includes 1290 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228617-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nusd6v
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eremothera chamaenerioides (A.Gray) W.L.Wagner & Hoch"
 ]
}

 The dataset includes 684 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063788-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66kvf6
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera berlandieri subsp. pinifolia (Engelm. ex A.Gray) W.L.Wagner & Hoch"
 ]
}

 The dataset includes 189 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065670-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwa7gq
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera albicaulis Fras."
 ]
}

 The dataset includes 397 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225296-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yn84ux
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera brachycarpa A.Gray"
 ]
}

 The dataset includes 228 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246312-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gggga
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera hartwegii Benth."
 ]
}

 The dataset includes 1347 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074811-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzsdfm
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera lavandulifolia Torr. & A.Gray"
 ]
}

 The dataset includes 753 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074813-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6fdhr
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera primiveris A.Gray"
 ]
}

 The dataset includes 654 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074820-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydn4yb
title: Occurrence Download

description: A dataset containing 1480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera pallida Lindl."
 ]
}

 The dataset includes 1480 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074819-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh7rza
title: Occurrence Download

description: A dataset containing 1880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenothera serrulata Nutt."
 ]
}

 The dataset includes 1880 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074822-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.