cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rw6sp3
title: Occurrence Download

description: A dataset containing 21419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is TRUE",
 "TaxonKey is one of (Labisia, Labisia ovalifolia, Labisia pothoina, Labisia steenisiana, Labisia sumatrensis, Lactuca indica, Landolphia gummifera, Landolphia, Lansium, Lansium domesticum, Lasianthus attenuatus, Lasianthus borneensis, Lasianthus, Lasianthus rigidus, Lauraceae, Lecanorchis, Leea indica, Leguminosae, Lepisanthes, Lepistemon binectariferum, Leucaena leucocephala, Leuconotis eugeniifolia, Leuconotis griffithii, Leuconotis, Liebigia limans, Lindera, Lindera insignis, Lindera lucida, Lindera polyantha, Lindera turfosa, Lithocarpus bancanus, Lithocarpus bennettii, Lithocarpus, Lithocarpus cantleyanus, Lithocarpus conocarpus, Lithocarpus crassinervius, Lithocarpus cyclophorus, Lithocarpus daphnoideus, Lithocarpus edulis, Lithocarpus elegans, Lithocarpus encleisocarpus, Lithocarpus ewyckii, Lithocarpus gracilis, Lithocarpus havilandii, Lithocarpus hystrix, Lithocarpus indutus, Lithocarpus javensis, Lithocarpus korthalsii, Lithocarpus kostermansii, Lithocarpus lucidus, Lithocarpus macphailii, Lithocarpus meijeri, Lithocarpus monticola, Lithocarpus nieuwenhuisii, Lithocarpus oreophilus, Lithocarpus pallidus, Lithocarpus reinwardtii, Lithocarpus sundaicus, Lithocarpus urceolaris, Litsea castanea, Litsea cubeba, Litsea diversifolia, Litsea elliptica, Litsea erectinervia, Litsea ferruginea, Litsea firma, Litsea glutinosa, Litsea grandis, Litsea johorensis, Litsea, Litsea lanceolata, Litsea lancifolia, Litsea machilifolia, Litsea mappacea, Litsea megacarpa, Litsea meyeri, Litsea monopetala, Litsea myristicifolia, Litsea noronhae, Litsea pruriens, Litsea resinosa, Litsea robusta, Litsea rubiginosa, Litsea talaumifolia, Litsea trichophylla, Litsea umbellata, Lobelia, Loxocarpus, Loxonia hirsuta, Lucuma maingayi, Luvunga, Luvunga eleutherandra, Luvunga minutiflora, Luvunga motleyi)"
 ]
}

 The dataset includes 21419 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085319-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9hcha
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Photinia floribunda",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085320-250717081556266/datasets/export for details.
DOI: 10.17632/rjhsjrnxgv.1
title: Length, width, and relative age analysis of lineaments in the Galileo regional maps with LineaMapper (Haslebacher et al., PSJ, 2025) accompanying data

description: Data accompanying publication "Length, width, and relative age analysis of lineaments in the Galileo regional maps with LineaMapper", published in the Planetary Science Journal (PSJ), in the special issue "Origins and Habitability of the Galilean Moons".

The model weights are used in the google colab jupyter notebook linked on github: https://github.com/javirk/europa_surface 

This data repository includes:
- the unrevised lineament map (output of LineaMapper v1.0, in 'Shapefiles_17ESREGMAP02/LM1_0_initial_prediction')
- revised lineament map (full map of 17ESREGMAP02 ('Shapefiles_17ESREGMAP02'); automatically analysed and manually verified chaos and ridged plains regions (in 'analysed_CSVs_17ESREGMAP02'))
- the geotiff files used for mapping (in 'Geotiffs_17ESREGMAP02', based on Bland et al., 2021)
- the geotiff files for predictions (you only need the .cub files to run apply_regmaps_improved_LineaMapper_v2_to_all_galileo.py, but geotiffs are also provided for convenience)
- full LineaMapper v1.1 and v2.0 regional maps (in 'full_RegMaps_shapefiles' for quick download, and additional files in zips 'analyse_LM1_1.zip' and 'analyse_LM2_0.zip')
- train, validation, and test tiles for LineaMapper v1.0, v1.1 and 2.0 (in 'datasets_train_val_test')
- model weights (folder 'ckpts', LM1.0: Mask_R-CNN_pub2_run23_end_model.pt, LM1.1: Mask_R-CNN_v1_1_17ESREGMAP02_part01_run10_end_model.pt, LM2.0: bbox_vit_b_final.pt, other files are other versions of LM2.0 (see paper))
- code (isis, LM1.1, LM2.0 from github)

To get started with using LineaMapper, the github repository provides jupyter notebooks that can be run in a web browser through Google Colab. The notebooks access this Mendeley dataset to download the model weights. The 'code' folder also contains these jupyter notebooks and they can be run locally as well.
DOI: 10.17632/kf5mbvft5t.1
title: Comprehensive Quantum Gate Performance Analysis: A Comparative Study of Noise and No-Noise Effects

description: This dataset contains performance metrics for various quantum gates, both with and without noise, based on 1000 runs per condition for each gate. The dataset includes data from quantum circuits that utilize gates such as H, X, Y, Z, S, T, CNOT, Toffoli, Fredkin, SWAP, RX, RY, and RZ. Each row includes the following information: the gate type, run number, number of qubits, depth, circuit size, execution time, error rate, fidelity, energy consumption, quantum volume, depolarization rate, and noise model used. The data is split into two categories: one with noise and one without noise. 

Key Features:
1. Quantum gate performance metrics for a variety of gates.
2. Both noisy and noise-free scenarios.
3. Provides insights into error rates, energy consumption, quantum volume, and more.

This dataset is useful for researchers and developers aiming to understand and compare the performance of quantum gates under different noise conditions.
DOI: 10.15468/dl.phugny
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scirpus articulatus L."
 ]
}

 The dataset includes 179 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027655-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amsn7h
title: Occurrence Download

description: A dataset containing 1413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selenicereus grandiflorus (L.) Britton & Rose"
 ]
}

 The dataset includes 1413 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027657-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011086
title: Impact of Heart Failure Treatment and Empagliflozin on Stroke Risk in People with Atrial Fibrillation and Heart Failure: A Secondary Analysis from the EMPEROR-Preserved Study

description: Atrial fibrillation (AF) is a condition that causes an irregular heartbeat, significantly increasing the risk of stroke. Around 2.7 million people in the U.S. have AF, making it a major cause of stroke. Another condition, congestive heart failure (HF), also increases the risk of stroke. In heart failure, the heart can't pump blood effectively, leading to complications like fluid buildup. When AF and heart failure happen together, the risk of stroke becomes even higher. Doctors use a tool called the CHA2DS2-VASc score (which stands for congestive heart failure, hypertension, age, diabetes mellitus, prior stroke or TIA or thromboembolism, vascular disease, age, sex category) to assess stroke risk in AF patients based on factors like age, gender, and heart failure.

There are different types of heart failure, and heart failure with preserved ejection fraction (HFpEF) is the most common. In HFpEF, the heart muscle contracts normally, but it has difficulty relaxing and filling with blood. Research has shown that people with both HFpEF and AF are at the highest risk for stroke, but there is still a lot we don’t know about the link between these two conditions and stroke.

Most studies that look at heart failure and stroke risk only check heart failure at one point in time, like measuring heart function or certain blood markers. However, heart failure is a long-term condition that can change over time, and it’s important to understand how these changes impact stroke risk. NT-proBNP, a protein in the blood, can show how the heart is doing, but little is known about how changes in heart failure or NT-proBNP levels affect stroke risk in AF patients with HFpEF.

Our study will focus on a secondary analysis of data only from the EMPEROR-Preserved clinical trial (without new patient recruitment), to investigate how heart failure treatments and empagliflozin may affect stroke risk in people with both atrial fibrillation and heart failure. By studying this, doctors may be able to better identify patients at high risk of stroke and adjust their treatments to help prevent it.

The medication empagliflozin has been shown to help reduce heart problems in HFpEF patients. It works by helping the kidneys remove excess sugar and salt from the body, lowering blood pressure and reducing the strain on the heart. Though it has been shown to improve heart health, its impact on stroke risk in AF patients with HFpEF hasn’t been well-studied. This research will also explore whether empagliflozin can help reduce stroke risk in this group of patients.
DOI: 10.15468/dl.zd54rf
title: Occurrence Download

description: A dataset containing 2916 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird egg collection (TSZ-bird-egg) The Arctic University Museum of Norway"
 ]
}

 The dataset includes 2916 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027658-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s96hwh
title: Occurrence Download

description: A dataset containing 20460 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scoparia dulcis L."
 ]
}

 The dataset includes 20460 records from 549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027656-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfum8e
title: Occurrence Download

description: A dataset containing 53089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpobrotus N.E.Br."
 ]
}

 The dataset includes 53089 records from 497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027642-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqf4qe
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term monitoring of the relative density of genus Felis with track counts in Doñana National Park 2007-2022"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027649-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqn4ay
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agave attenuata Salm-Dyck"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027660-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y56f3m
title: Occurrence Download

description: A dataset containing 1063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dilobopterus Signoret, 1850"
 ]
}

 The dataset includes 1063 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027661-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyj5zh
title: Occurrence Download

description: A dataset containing 1152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Semecarpus anacardium L.fil."
 ]
}

 The dataset includes 1152 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027662-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.cryosphere.00014
title: Monthly multi-year average snow density grid dataset on the Tibetan Plateau
title: 青藏高原逐月多年平均积雪密度格点数据集

description: 雪密度是表征积雪的重要参数，是将雪深转换为雪水当量的关键指标。它在山区雪水资源估算、融雪洪水等水资源管理、自然灾害预报和气候研究方面也发挥着至关重要的作用。以 1960—2020 年青藏高原 132 个日日国家气象站、中国区域地表气象要素驱动数据集和卫星融合雪深数据集为主要数据源，比较了几种机器学习模型在不同地表类型模拟雪密度方面的性能，并选择了最优模型。整合地面、卫星和再分析数据，我们最终制作了青藏高原多年平均雪密度网格的数据集。使用青藏高原 132 个国家气象站的逐月多年平均雪密度数据进行准确性评估，平均均方根误差为 0.019 g/cm3，平均相对误差为 11.88%，表明数据集的准确性很高。该数据集有望为青藏高原水资源评价和水文过程模拟提供数据支持。
description: 雪密度是表征积雪的重要参数，是将雪深转换为雪水当量的关键指标。它在山区雪水资源估算、融雪洪水等水资源管理、自然灾害预报和气候研究方面也发挥着至关重要的作用。以 1960—2020 年青藏高原 132 个日日国家气象站、中国区域地表气象要素驱动数据集和卫星融合雪深数据集为主要数据源，比较了几种机器学习模型在不同地表类型模拟雪密度方面的性能，并选择了最优模型。整合地面、卫星和再分析数据，我们最终制作了青藏高原多年平均雪密度网格的数据集。使用青藏高原 132 个国家气象站的逐月多年平均雪密度数据进行准确性评估，平均均方根误差为 0.019 g/cm3，平均相对误差为 11.88%，表明数据集的准确性很高。该数据集有望为青藏高原水资源评价和水文过程模拟提供数据支持。
DOI: 10.5281/zenodo.15393422
title: OSKAR SKALOW1 1-1

description: -I- CMD = python /work/ska/orliac/neobipp/skalow1/1024/4/1/single/oskar_simulation_kuma.py --wsc_size 1024 --wsc_scale 4 --num_time_steps 1 --input_directory /work/ska/orliac/neobipp/skalow1/1024/4/1/single/ska1low_new.tm --telescope_lon 116.7644482 --telescope_lat -26.82472208 --phase_centre_ra_deg 80.0 --phase_centre_dec_deg -40.0 --precision single --freq_mhz 100 --frequency_inc_hz 1000 --num_channels 1 --use_gpus --out_name oskar
DOI: 10.5281/zenodo.15393423
title: OSKAR SKALOW1 1-1

description: -I- CMD = python /work/ska/orliac/neobipp/skalow1/1024/4/1/single/oskar_simulation_kuma.py --wsc_size 1024 --wsc_scale 4 --num_time_steps 1 --input_directory /work/ska/orliac/neobipp/skalow1/1024/4/1/single/ska1low_new.tm --telescope_lon 116.7644482 --telescope_lat -26.82472208 --phase_centre_ra_deg 80.0 --phase_centre_dec_deg -40.0 --precision single --freq_mhz 100 --frequency_inc_hz 1000 --num_channels 1 --use_gpus --out_name oskar
DOI: 10.15468/dl.m8gbq6
title: Occurrence Download

description: A dataset containing 2782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Papilio alexanor Esper, 1800"
 ]
}

 The dataset includes 2782 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027664-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppvujh
title: Occurrence Download

description: A dataset containing 41452 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sempervivum tectorum L."
 ]
}

 The dataset includes 41452 records from 587 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027663-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17590460
title: Environmental–Economic Efficiency in Utility-Scale Solar Energy Systems (India & Jordan, 2017–2023)

description: “This dataset compiles operational, financial, and meteorological data from India (CEA, MNRE) and Jordan (MEMR) covering 2017–2023, supporting the article ‘Evaluating Environmental–Economic Efficiency in Utility-Scale Solar Energy Systems’. It includes MFCA inputs, energy losses, tariffs, and environmental parameters.”
DOI: 10.5281/zenodo.17590459
title: Environmental–Economic Efficiency in Utility-Scale Solar Energy Systems (India & Jordan, 2017–2023)

description: “This dataset compiles operational, financial, and meteorological data from India (CEA, MNRE) and Jordan (MEMR) covering 2017–2023, supporting the article ‘Evaluating Environmental–Economic Efficiency in Utility-Scale Solar Energy Systems’. It includes MFCA inputs, energy losses, tariffs, and environmental parameters.”
DOI: 10.15468/dl.zkdzhh
title: Occurrence Download

description: A dataset containing 315462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "Geometry POLYGON((23.46231 20.47918,83.53769 20.47918,83.53769 44.52082,23.46231 44.52082,23.46231 20.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 315462 records from 481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077422-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3naz6
title: Occurrence Download

description: A dataset containing 266132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Selasphorus platycercus (Swainson, 1827)"
 ]
}

 The dataset includes 266132 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181909-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1iepsa
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus lumholtzii B.L.Rob & Fernald"
 ]
}

 The dataset includes 296 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006401-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.21dzxz
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus caribaea Morelet"
 ]
}

 The dataset includes 821 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006105-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jhlyw
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus ayacahuite Ehrenb. ex Schltdl."
 ]
}

 The dataset includes 503 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006149-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qf9f4
title: Occurrence Download

description: A dataset containing 1010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla chrysantha Trevir.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1010 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078436-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6mxgd
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus monophylla Torr. & Frém."
 ]
}

 The dataset includes 2240 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006050-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bipuak
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus rzedowskii Madrigal & M.Caball."
 ]
}

 The dataset includes 369 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006144-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnh7vn
title: Occurrence Download

description: A dataset containing 1194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus hartwegii Lindl."
 ]
}

 The dataset includes 1194 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006051-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8md9o
title: Occurrence Download

description: A dataset containing 1369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus edulis Engelm."
 ]
}

 The dataset includes 1369 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006070-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgwmas
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus caribaea Morelet"
 ]
}

 The dataset includes 936 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011527-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9jexe
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus californiarum D.K.Bailey"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011510-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fge3dy
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus ayacahuite Ehrend."
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011099-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftwf8y
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus nelsonii Shaw"
 ]
}

 The dataset includes 180 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006045-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.