cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/8a8934ef-9407-406f-8bfb-573eb182ec54.v2
title: A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning

description: The dataset provided in this repository corresponds to the original data used in the publication by De Roda Husman et al. (2023) titled "A High-Resolution Record of Surface Melt on Antarctic Ice Shelves using Multi-Source Remote Sensing Data and Deep Learning" (DOI to be announced!). <br>The dataset, named UMelt, contains a comprehensive surface melt record for all Antarctic ice shelves. It offers a high spatial resolution of 500 meters and a high temporal resolution of 12 hours, covering the period from 2016 to 2021. Our methodology relies on the utilization of a deep learning model known as U-Net, which integrates microwave remote sensing observations from three sources: Sentinel-1, Special Sensor Microwave Imager/Sounder (SSMIS), and Advanced Scatterometer (ASCAT). <br>The data is available for download in two formats: 1. "Timeseries": This format provides the data at a twice-daily resolution, allowing for detailed analysis over time.2. "MeltFraction": This format offers a yearly, summed product, providing a consolidated representation of the melt fraction.<br>Feel free to access and explore the dataset to gain valuable insights into surface melt dynamics on Antarctic ice shelves.
DOI: 10.35003/aotqsq/hddges
title: 1-s2.0-S0016703720306463-gr16_lrg.jpg

description: :unav
DOI: 10.35003/aotqsq/onjixl
title: 1-s2.0-S0016703720306463-gr14_lrg.jpg

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DOI: 10.35003/aotqsq/w3v7hu
title: 1-s2.0-S0016703720306463-gr27_lrg.jpg

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DOI: 10.35003/aotqsq/36mmhp
title: table2.png

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DOI: 10.35003/aotqsq/cklcy4
title: 1-s2.0-S0016703720306463-gr9_lrg.jpg

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DOI: 10.35003/aotqsq/dabl5m
title: 1-s2.0-S0016703720306463-gr25_lrg.jpg

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DOI: 10.35003/aotqsq/lpysaq
title: 1-s2.0-S0016703720306463-gr10_lrg.jpg

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DOI: 10.35003/aotqsq/mzkzq1
title: 1-s2.0-S0016703720306463-gr4_lrg.jpg

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DOI: 10.35003/aotqsq/s5c5ad
title: 1-s2.0-S0016703720306463-gr7_lrg.jpg

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DOI: 10.35003/aotqsq/cqi8mk
title: 1-s2.0-S0016703720306463-gr19_lrg.jpg

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DOI: 10.35003/aotqsq/l7bmnp
title: 1-s2.0-S0016703720306463-gr12_lrg.jpg

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DOI: 10.35003/aotqsq/pnfohh
title: table1.png

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DOI: 10.35003/aotqsq/rln35f
title: 1-s2.0-S0016703720306463-gr26_lrg.jpg

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DOI: 10.35003/aotqsq/k2ciz1
title: 1-s2.0-S0016703720306463-gr1_lrg.jpg

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DOI: 10.35003/aotqsq/rbj7u5
title: 1-s2.0-S0016703720306463-gr23_lrg.jpg

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DOI: 10.35003/aotqsq/tly8pm
title: 1-s2.0-S0016703720306463-gr8_lrg.jpg

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DOI: 10.35003/aotqsq/w270no
title: 1-s2.0-S0016703720306463-gr3_lrg.jpg

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DOI: 10.35003/aotqsq/wq3kgb
title: 1-s2.0-S0016703720306463-gr22_lrg.jpg

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DOI: 10.35003/aotqsq/xw2m9w
title: table4.png

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DOI: 10.35003/aotqsq/05cmjt
title: 1-s2.0-S0016703720306463-gr18_lrg.jpg

description: :unav
DOI: 10.35003/aotqsq/tddrwa
title: Data.txt

description: :unav
DOI: 10.35003/aotqsq/tqc71x
title: 1-s2.0-S0016703720306463-gr5_lrg.jpg

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DOI: 10.35003/aotqsq/ttr4zt
title: 1-s2.0-S0016703720306463-gr6_lrg.jpg

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DOI: 10.35003/aotqsq/wd6i0g
title: 1-s2.0-S0016703720306463-gr24_lrg.jpg

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DOI: 10.35003/aotqsq/ictkbl
title: 1-s2.0-S0016703720306463-gr21_lrg.jpg

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DOI: 10.35003/aotqsq/jsgm9i
title: table3.png

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DOI: 10.35003/aotqsq/p1bggn
title: 1-s2.0-S0016703720306463-gr20_lrg.jpg

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DOI: 10.35003/aotqsq/qisgle
title: 1-s2.0-S0016703720306463-gr11_lrg.jpg

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DOI: 10.35003/aotqsq/xwlsdj
title: 1-s2.0-S0016703720306463-mmc1.pdf

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DOI: 10.35003/aotqsq/7emy8w
title: table6.png

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DOI: 10.35003/aotqsq/feebku
title: 1-s2.0-S0016703720306463-gr17_lrg.jpg

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DOI: 10.35003/aotqsq/fq4h4x
title: table8.png

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DOI: 10.35003/aotqsq/s8np8g
title: 1-s2.0-S0016703720306463-gr2_lrg.jpg

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DOI: 10.35003/aotqsq/us0wje
title: table9.png

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DOI: 10.35003/aotqsq/yfzro0
title: 1-s2.0-S0016703720306463-gr15_lrg.jpg

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DOI: 10.35003/aotqsq/4kxlro
title: Tables_1-10_Bischoff_et_al..tab

description: :unav
DOI: 10.35003/aotqsq/4qznv9
title: table5.png

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DOI: 10.35003/aotqsq/4v442n
title: 1-s2.0-S0016703720306463-gr13_lrg.jpg

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DOI: 10.35003/aotqsq/9584er
title: table10.png

description: :unav
DOI: 10.35003/aotqsq/qhazpv
title: Captions_figures_and_tables.txt

description: :unav
DOI: 10.15468/dl.7m5h6m
title: Occurrence Download

description: A dataset containing 2137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Distimake tuberosus (L.) A.R.Simões & Staples"
 ]
}

 The dataset includes 2137 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019240-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.26235413
title: Datasets for manuscript: Pharmacological elevation of catecholamine levels improves perceptual decisions, but not metacognitive insight

description: These files contain behavioral data, raw pupil data and raw EEG data for all 27 subjects and three experimental sessions. Pre-processing of the raw pupil and EEG data is fully automatic and can be reproduced with the analysis scripts.Behavioral data for the manuscript: "Pharmacological elevation of catecholamine levels improves perceptual decisions, but not metacognitive insight"The behavior file contains trial-wise information about, among others:presented stimulus (0: CW or 1: CCW)behavioral response (0: CW or 1: CCW)confidence rating (0: low confidence or 1: high confidence)RTDrugBaseline pupil size (and bin)The scripts for analysis of these datasets are provided as a 'Software' type object in the same 'Project' on FigShare.
DOI: 10.21942/uva.26235413.v2
title: Datasets for manuscript: Pharmacological elevation of catecholamine levels improves perceptual decisions, but not metacognitive insight

description: These files contain behavioral data, raw pupil data and raw EEG data for all 27 subjects and three experimental sessions. Pre-processing of the raw pupil and EEG data is fully automatic and can be reproduced with the analysis scripts.Behavioral data for the manuscript: "Pharmacological elevation of catecholamine levels improves perceptual decisions, but not metacognitive insight"The behavior file contains trial-wise information about, among others:presented stimulus (0: CW or 1: CCW)behavioral response (0: CW or 1: CCW)confidence rating (0: low confidence or 1: high confidence)RTDrugBaseline pupil size (and bin)The scripts for analysis of these datasets are provided as a 'Software' type object in the same 'Project' on FigShare.
DOI: 10.21942/uva.26235413.v1
title: Pupil data

description: This zip file contains the raw pupil edf files for all 27 subjects and three experimental sessions. Pre-processing of the raw pupil data is fully automatic and can be reproduced with the analysis scripts.<br>
DOI: 10.4121/87607637-09d9-4147-8125-c85eec901a88
title: Data underlying the publication: Physically-informed super-resolution downscaling of Antarctic surface melt

description: The dataset provided in this repository corresponds to the original data used in the publication by De Roda Husman et al. (2024) titled "Physically-informed super-resolution downscaling of Antarctic surface melt" (DOI to be announced!). <br>The dataset, named SUPREME, contains a record of surface melt (in meters water equivalent per year) on an Antarctic-wide scale. It offers surface melt data at a high spatial resolution of 5.5 kilometers for each melt year (1 July - 30 June), covering the period from 2001 to 2019. Our method downscales Antarctic surface melt from the regional climate model Regional Atmospheric Climate Model (RACMO, v2.3p2), employing a physically-informed super-resolution architecture. The super-resolution model integrates physical information derived from remote sensing data, specifically surface albedo and elevation.<br>
DOI: 10.4121/87607637-09d9-4147-8125-c85eec901a88.v1
title: Data underlying the publication: Physically-informed super-resolution downscaling of Antarctic surface melt

description: The dataset provided in this repository corresponds to the original data used in the publication by De Roda Husman et al. (2024) titled "Physically-informed super-resolution downscaling of Antarctic surface melt" (DOI to be announced!). <br>The dataset, named SUPREME, contains a record of surface melt (in meters water equivalent per year) on an Antarctic-wide scale. It offers surface melt data at a high spatial resolution of 5.5 kilometers for each melt year (1 July - 30 June), covering the period from 2001 to 2019. Our method downscales Antarctic surface melt from the regional climate model Regional Atmospheric Climate Model (RACMO, v2.3p2), employing a physically-informed super-resolution architecture. The super-resolution model integrates physical information derived from remote sensing data, specifically surface albedo and elevation.<br>
DOI: 10.25403/upresearchdata.26075662
title: Family-supportive supervisor behaviour (FSSB) : the role of work-family enrichment

description: The study acknowledged the profound impact that work–family support, particularly through family-supportive supervisor behaviour (FSSB) and work–family enrichment (WFE), could have on employees’ subjective career success (SCS) and turnover intention. The focus was on identifying how FSSB could support employees in balancing their work and family roles, thus enhancing their career outcomes and reducing turnover intent.
Research approach, design, and method: cross-sectional survey design to collect data from a sample (N = 354) of South African employees recruited from various sectors through convenience and snowball sampling were utilised. Data was collected using the online tool Qualtrics, and statistical analyses were conducted using SPSS version 29 and Mplus version 8.6. Confirmatory factor analysis was conducted to validate the instruments, while correlation and mediation analyses were utilised to examine the relationships between the study variables, i.e., FSSB, WFE,SCS, and turnover intention.
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<br>
DOI: 10.25403/upresearchdata.26075662.v1
title: Family-supportive supervisor behaviour (FSSB) : the role of work-family enrichment

description: The study acknowledged the profound impact that work–family support, particularly through family-supportive supervisor behaviour (FSSB) and work–family enrichment (WFE), could have on employees’ subjective career success (SCS) and turnover intention. The focus was on identifying how FSSB could support employees in balancing their work and family roles, thus enhancing their career outcomes and reducing turnover intent.
Research approach, design, and method: cross-sectional survey design to collect data from a sample (N = 354) of South African employees recruited from various sectors through convenience and snowball sampling were utilised. Data was collected using the online tool Qualtrics, and statistical analyses were conducted using SPSS version 29 and Mplus version 8.6. Confirmatory factor analysis was conducted to validate the instruments, while correlation and mediation analyses were utilised to examine the relationships between the study variables, i.e., FSSB, WFE,SCS, and turnover intention.
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DOI: 10.15468/dl.k2adnz
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrolebias arachan Loureiro, Azpelicueta & García, 2004"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019241-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8trmzn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stichelia dukinfieldia (Schaus, 1902)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019242-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12706090
title: potato gene- disease knowledge base

description: The Potato Gene-Disease Knowledge Base is a collection of relationships between potato genes and diseases, gathered and organized through literature mining. In addition to genes and diseases, the dataset includes information on 22 types of entities such as proteins, pathogens (fungi, bacteria, viruses), pests, and more.
DOI: 10.5281/zenodo.12706091
title: potato gene- disease knowledge base

description: The Potato Gene-Disease Knowledge Base is a collection of relationships between potato genes and diseases, gathered and organized through literature mining. In addition to genes and diseases, the dataset includes information on 22 types of entities such as proteins, pathogens (fungi, bacteria, viruses), pests, and more.
DOI: 10.15468/dl.wunqp8
title: Occurrence Download

description: A dataset containing 647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus formosus Gibbes, 1850"
 ]
}

 The dataset includes 647 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019243-240626123714530/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.23650575.v1
title: LIANA+ Vignettes Data

description: Kuppe et al, 2022, Nature: Visium_19 slide, as modified and published at https://www.nature.com/articles/s41586-022-05060-x; https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77Vicari et al., 2023, Nat Biotech: sma_V11L12-109_B1 (sma_deconv.h5ad, sma_msi.h5ad, sma_rna.h5ad); published at https://www.nature.com/articles/s41587-023-01937-y; modified from https://figshare.scilifelab.se/articles/dataset/Spatial_Multimodal_analysis_SMA_-_Mass_Spectrometry_Imaging_MSI_/22770161Farr et al., 2023, Biorxiv: metalinks.db - sqlite3 database converted from a neo4j knowledge graph generated via https://github.com/biocypher/metalinks<br>
DOI: 10.5281/zenodo.12706095
title: The grid-level fixed asset model developed for China from 1951 to 2020

description: This dataset was created by our submitted manuscript (with the same title as this dataset), in which the provincial-level and grid level fixed assets for China from 1951 to 2020 were developed.
DOI: 10.15468/dl.zzvcpg
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAC6141"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019245-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4nzgu
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenothera laciniata subsp. laciniata"
 ]
}

 The dataset includes 262 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019246-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9q8yat
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stichelia pelotensis de Biezanko, Mielke & Wedderhoff, 1978"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019247-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n7aj7
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphithrax aculeatus (Herbst, 1790)"
 ]
}

 The dataset includes 404 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019248-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4dtsf
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrolebias charrua Costa & Cheffe, 2001"
 ]
}

 The dataset includes 195 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019250-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quuz6k
title: Occurrence Download

description: A dataset containing 20500 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis debilis Kunth"
 ]
}

 The dataset includes 20500 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019249-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3fvnf
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stiburus alopecuroides (Hack.) Stapf"
 ]
}

 The dataset includes 413 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019251-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg67gs
title: Occurrence Download

description: A dataset containing 4311214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 4311214 records from 559 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019226-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lbyrhw
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Duvernoia extensa (T.Anderson) Lindau",
 "TaxonKey is Justicia laxa T.Anderson",
 "TaxonKey is Justicia extensa var. castellana Hiern",
 "TaxonKey is Justicia extensa T.Anderson",
 "TaxonKey is Justicia talbotii S.Moore",
 "TaxonKey is Justicia thyrsiflora S.Moore",
 "TaxonKey is Ecbolium extensum (T.Anderson) Kuntze",
 "TaxonKey is Duvernoia stuhlmannii Lindau",
 "TaxonKey is Duvernoia dewevrei Kraenzl. ex De Wild. & T.Durand",
 "TaxonKey is Duvernoia dewevrei Kraenzl.",
 "TaxonKey is Justicia pyramidata C.B.Clarke",
 "TaxonKey is Justicia laurentii De Wild.",
 "TaxonKey is Ecbolium laxum (T.Anderson) Kuntze",
 "TaxonKey is Duvernoia pyramidata Lindau",
 "TaxonKey is Duvernoia paniculata (Benth.) Lindau",
 "TaxonKey is Adhatoda paniculata Benth."
 ]
}

 The dataset includes 640 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067283-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh2w37
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1979-2019",
 "HasCoordinate is true",
 "TaxonKey is Actinostachys pennula (Sw.) Hook.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 398 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013996-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm96my
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pimpinella procumbens (Boiss.) H.Wolff"
 ]
}

 The dataset includes 174 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019987-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygkwbx
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Duvernoia extensa (T.Anderson) Lindau",
 "TaxonKey is Justicia laxa T.Anderson",
 "TaxonKey is Justicia extensa var. castellana Hiern",
 "TaxonKey is Justicia extensa T.Anderson",
 "TaxonKey is Justicia talbotii S.Moore",
 "TaxonKey is Justicia thyrsiflora S.Moore",
 "TaxonKey is Ecbolium extensum (T.Anderson) Kuntze",
 "TaxonKey is Duvernoia stuhlmannii Lindau",
 "TaxonKey is Duvernoia dewevrei Kraenzl. ex De Wild. & T.Durand",
 "TaxonKey is Duvernoia dewevrei Kraenzl.",
 "TaxonKey is Justicia pyramidata C.B.Clarke",
 "TaxonKey is Justicia laurentii De Wild.",
 "TaxonKey is Ecbolium laxum (T.Anderson) Kuntze",
 "TaxonKey is Duvernoia pyramidata Lindau",
 "TaxonKey is Duvernoia paniculata (Benth.) Lindau",
 "TaxonKey is Adhatoda paniculata Benth."
 ]
}

 The dataset includes 640 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067284-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gqnw2
title: Occurrence Download

description: A dataset containing 1062 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctinomops femorosaccus (Merriam, 1889)"
 ]
}

 The dataset includes 1062 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008375-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5w3mq
title: Occurrence Download

description: A dataset containing 8550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eryngium bourgatii Gouan"
 ]
}

 The dataset includes 8550 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019979-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k1g0vk
title: Occurrence Download

description: A dataset containing 24121 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Endemic plants of the Congo basin"
 ]
}

 The dataset includes 24121 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067285-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.