cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.33552
title: Asset allocations and Experiential Investment Advice
title: Asset allocations and Experiential Investment Advice

description: Panel dataset on lab experiment in which subjects made asset allocation decisions between a riskless and a risky asset after receiving advice from previous cohorts who had already played the investment game (under different return distributions for the risky asset)
description: Panel dataset on lab experiment in which subjects made asset allocation decisions between a riskless and a risky asset after receiving advice from previous cohorts who had already played the investment game (under different return distributions for the risky asset)
DOI: 10.57760/sciencedb.33557
title: Mass spectrometry analysis data of HA-BirA*-TUBB4B cells
title: Mass spectrometry analysis data of HA-BirA*-TUBB4B cells

description: Mass spectrometry analysis data from the TUBB4B-BirA*-HA-N and TUBB4B-BirA*-HA-C cell lines, as well as from a biotin-based proximity labeling assay performed on TUBB4B-BirA*-HA-N cells under different concentrations of Paclitaxel.
description: Mass spectrometry analysis data from the TUBB4B-BirA*-HA-N and TUBB4B-BirA*-HA-C cell lines, as well as from a biotin-based proximity labeling assay performed on TUBB4B-BirA*-HA-N cells under different concentrations of Paclitaxel.
DOI: 10.57760/sciencedb.27279
title: Pan-Arctic Sea Ice Drift Dataset at 400 m Resolution Derived from Sentinel-1 SAR (2017–2021)
title: Pan-Arctic Sea Ice Drift Dataset at 400 m Resolution Derived from Sentinel-1 SAR (2017–2021)

description: This dataset presents a high-resolution (400 m) Pan-Arctic Sea Ice Drift (SID) product derived from Sentinel-1A/B Synthetic Aperture Radar (SAR) imagery, covering the period from 2017 to 2021. The data was generated using a computer vision framework (SID-CV) that integrates feature tracking and pattern matching to extract drift vectors from sequential SAR image pairs with time intervals of 0–36 hours. The archive comprises over 350,000 products, averaging approximately 8,000 files per month. Each NetCDF file contains eastward and northward displacement components, comprehensive acquisition metadata, and quality flags based on internal self-evaluation metrics. This dataset is designed to facilitate high-resolution studies of sea ice export, deformation analysis, and numerical model validation.
description: This dataset presents a high-resolution (400 m) Pan-Arctic Sea Ice Drift (SID) product derived from Sentinel-1A/B Synthetic Aperture Radar (SAR) imagery, covering the period from 2017 to 2021. The data was generated using a computer vision framework (SID-CV) that integrates feature tracking and pattern matching to extract drift vectors from sequential SAR image pairs with time intervals of 0–36 hours. The archive comprises over 350,000 products, averaging approximately 8,000 files per month. Each NetCDF file contains eastward and northward displacement components, comprehensive acquisition metadata, and quality flags based on internal self-evaluation metrics. This dataset is designed to facilitate high-resolution studies of sea ice export, deformation analysis, and numerical model validation.
DOI: 10.57760/sciencedb.33546
title: Supplementary File - Dating Srivijaya Inscriptions: Utilizing Modern Computations in Archaeoastronomy
title: Supplementary File - Dating Srivijaya Inscriptions: Utilizing Modern Computations in Archaeoastronomy

description: This is a Supplementary File in the Journal of Astronomical History and Heritage, 28(3), 586–611 (2025) that accompanies this paper. It is titled “Koad, Riyaprao, Saelee, and Chaisriya - Supplementary File (2025)”, and it contains graphical results, S1 to S20, relating to the start and end dates of the various inscriptions mentioned in this paper.
description: This is a Supplementary File in the Journal of Astronomical History and Heritage, 28(3), 586–611 (2025) that accompanies this paper. It is titled “Koad, Riyaprao, Saelee, and Chaisriya - Supplementary File (2025)”, and it contains graphical results, S1 to S20, relating to the start and end dates of the various inscriptions mentioned in this paper.
DOI: 10.17026/ar/py2gji
title: PAN-00002692 - coin/coin-related, Tetricus I (271-274), naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00002692&lt;/p&gt;
description: Modified: 2025-08-19T08:54:43+02:00
DOI: 10.15468/dl.nrpgn3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.665701 30.370706, 70.584337 30.365128, 70.505003 30.348533, 70.429677 30.321336, 70.36023299999999 30.284214, 70.298394 30.238091, 70.24568499999999 30.184116, 70.2034 30.123627, 70.172567 30.058126, 70.153926 29.989233, 70.147913 29.918649, 70.154647 29.848115, 70.173939 29.779364, 70.205288 29.714084, 70.24790400000001 29.653875, 70.30072800000001 29.600209, 70.362453 29.554396, 70.43156500000001 29.517552, 70.50637500000001 29.490576, 70.585058 29.474124, 70.665701 29.468595, 70.74634399999999 29.474124, 70.82502700000001 29.490576, 70.89983700000001 29.517552, 70.96894899999999 29.554396, 71.030674 29.600209, 71.08349800000001 29.653875, 71.126114 29.714084, 71.15746300000001 29.779364, 71.176755 29.848115, 71.18348899999999 29.918649, 71.177476 29.989233, 71.158835 30.058126, 71.128002 30.123627, 71.085717 30.184116, 71.033008 30.238091, 70.971169 30.284214, 70.901725 30.321336, 70.82639899999999 30.348533, 70.74706500000001 30.365128, 70.665701 30.370706))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058031-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30893789
title: Supplementary Data S1–S8: Gene lists and RNA-seq metadata for mitochondrial and hypoxia analysis.

description: Supplementary Data S1-S8 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.This Excel file contains eight supplementary tables supporting the study analysis (individual sheets):<b>Supplementary Data S1:</b> Publicly available RNA-seq data used in the study, including accession numbers and experimental conditions.<b>Supplementary Data S2:</b> List of hypoxia markers.<b>Supplementary Data S3:</b> Inventory of nDNA- and mtDNA-encoded OXPHOS structural genes.<b>Supplementary Data S4:</b> Inventory of nDNA- and mtDNA-encoded mito-ribosome genes.<b>Supplementary Data S5:</b> List of excluded RNA-seq experiments (U87 cells).<b>Supplementary Data S6:</b> nDNA-encoded mitochondrial genes with promoter-proximal HIFα binding sites responsive to hypoxia.<b>Supplementary Data S7:</b> Reference list of human Transcription Factors (Lambert et al., 2018).<b>Supplementary Data S8:</b> Custom list of potential and confirmed mitochondrial regulators (modified from Arroyo et al., 2016).<br>
DOI: 10.6084/m9.figshare.30893789.v4
title: Supplementary Data S1–S8: Gene lists and RNA-seq metadata for mitochondrial and hypoxia analysis.

description: Supplementary Data S1-S8 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.This Excel file contains eight supplementary tables supporting the study analysis (individual sheets):<b>Supplementary Data S1:</b> Publicly available RNA-seq data used in the study, including accession numbers and experimental conditions.<b>Supplementary Data S2:</b> List of hypoxia markers.<b>Supplementary Data S3:</b> Inventory of nDNA- and mtDNA-encoded OXPHOS structural genes.<b>Supplementary Data S4:</b> Inventory of nDNA- and mtDNA-encoded mito-ribosome genes.<b>Supplementary Data S5:</b> List of excluded RNA-seq experiments (U87 cells).<b>Supplementary Data S6:</b> nDNA-encoded mitochondrial genes with promoter-proximal HIFα binding sites responsive to hypoxia.<b>Supplementary Data S7:</b> Reference list of human Transcription Factors (Lambert et al., 2018).<b>Supplementary Data S8:</b> Custom list of potential and confirmed mitochondrial regulators (modified from Arroyo et al., 2016).<br>
DOI: 10.6084/m9.figshare.30893789.v3
title: Supplementary Data S1–S8: Gene lists and RNA-seq metadata for mitochondrial and hypoxia analysis.

description: Supplementary Data S1-S8 of the manuscript "<b>Hypoxia leads to reduced mito-nuclear gene expression and to increased mtDNA transcriptional pausing in human cells</b>" by Shtolz et al.This Excel file contains eight supplementary tables supporting the study analysis (individual sheets):<b>Supplementary Table S1:</b> Publicly available RNA-seq data used in the study, including accession numbers and experimental conditions.<b>Supplementary Table S2:</b> List of hypoxia markers.<b>Supplementary Table S3:</b> Inventory of nuclear- and mtDNA-encoded OXPHOS structural genes.<b>Supplementary Table S4:</b> Inventory of nuclear- and mtDNA-encoded mito-ribosome genes.<b>Supplementary Table S5:</b> List of excluded RNA-seq experiments (U87 cells).<b>Supplementary Table S6:</b> Nuclear-encoded mitochondrial genes with promoter-proximal HIFα binding sites responsive to hypoxia.<b>Supplementary Table S7:</b> Reference list of human Transcription Factors (Lambert et al., 2018).<b>Supplementary Table S8:</b> Custom list of potential and confirmed mitochondrial regulators (modified from Arroyo et al., 2016).<br>
DOI: 10.15468/dl.9vz7ck
title: Occurrence Download

description: A dataset containing 419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda",
 "Year 2010-2025"
 ]
}

 The dataset includes 419 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058032-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/cens_21urb01
title: Bevölkerung nach Alter, Geschlecht und Verstädterungsgrad
title: Population par âge, sexe et degré d’urbanisation
title: Population by age, sex and degree of urbanisation

description: Die Daten kombinieren Zensus-2021-Daten mit dem Verstädterungsgrad und werden als zusätzlicher Datensatz über die Zensus-Basisdaten hinaus generiert. Bestimmte Zahlen können aufgrund von Unterschieden bei niedrigeren Geodatenebenen, die sich auf die Aggregation über den Verstädterungsgrad hinweg auswirken, leicht von anderen Tabellen abweichen. Gründe könnten beispielsweise Lücken auf detaillierter geografischer Ebene aufgrund von Datenschutzvorschriften sein. Die Gesamtbevölkerung in der Schweiz ist niedriger als die tatsächliche Bevölkerung, da die verwendeten Schweizer Daten aufgrund nationaler Datenvorschriften keine Informationen über Personen unter 15 Jahren enthalten.  Liechtenstein hat nur einen Verstädterungsgrad
description: The data combine census 2021 data with degree of urbanisation and are generated as an additional dataset beyond the census base data. Certain numbers may deviate slightly from other tables, due to differences at lower geo data levels that impact on the aggregation across degree of urbanisation. Reasons could be for instance gaps at detailed geographical levels due to data privacy regulations. The total population of Switzerland is lower than the actual population, because the used Swiss data do not contain information for persons under the age of 15 due to national data regulations. Liechtenstein has only one level of degree of Urbanisation
description: Les données combinent les données du recensement 2021 avec le degré d’urbanisation et sont générées en tant qu’ensemble de données supplémentaire au-delà des données de base du recensement. Certains chiffres peuvent s’écarter légèrement d’autres tableaux, en raison de différences à des niveaux de données géographiques plus faibles qui ont une incidence sur l’agrégation entre les degrés d’urbanisation. Les raisons peuvent être, par exemple, des lacunes aux niveaux géographiques détaillés en raison de la réglementation en matière de confidentialité des données. La population totale en Suisse est inférieure à la population réelle, car les données suisses utilisées ne contiennent pas d’informations pour les personnes de moins de 15 ans en raison de la réglementation nationale en matière de données.  Le Liechtenstein n’a qu’un seul degré d’urbanisation
DOI: 10.2908/cens_21urb02
title: Art der Wohnunterkünfte nach Verstädterungsgrad
title: Type de locaux d’habitation par degré d’urbanisation
title: Type of living quarters by degree of urbanisation

description: Die Daten kombinieren Zensus-2021-Daten mit dem Verstädterungsgrad und werden als zusätzlicher Datensatz über die Zensus-Basisdaten hinaus generiert. Bestimmte Zahlen können aufgrund von Unterschieden bei niedrigeren Geodatenebenen, die sich auf die Aggregation über den Verstädterungsgrad hinweg auswirken, leicht von anderen Tabellen abweichen. Gründe könnten beispielsweise Lücken auf detaillierter geografischer Ebene aufgrund von Datenschutzvorschriften sein. Liechtenstein hat nur einen Verstädterungsgrad<br>
description: The data combine census 2021 data with degree of urbanisation and are generated as an additional dataset beyond the census base data. Certain numbers may deviate slightly from other tables, due to differences at lower geo data levels that impact on the aggregation across degree of urbanisation. Reasons could be for instance gaps at detailed geographical levels due to data privacy regulations. Liechtenstein has only one level of degree of Urbanisation
description: Les données combinent les données du recensement 2021 avec le degré d’urbanisation et sont générées en tant qu’ensemble de données supplémentaire au-delà des données de base du recensement. Certains chiffres peuvent s’écarter légèrement d’autres tableaux, en raison de différences à des niveaux de données géographiques plus faibles qui ont une incidence sur l’agrégation entre les degrés d’urbanisation. Les raisons peuvent être, par exemple, des lacunes aux niveaux géographiques détaillés en raison de la réglementation en matière de confidentialité des données. Le Liechtenstein n’a qu’un seul degré d’urbanisation<br>
DOI: 10.60707/2bdv-8x41
title: SEM-EDS images
DOI: 10.15468/dl.qukph2
title: Occurrence Download

description: A dataset containing 71263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.35557 37.59409,-6.59889 36.6842,-5.87532 35.89563,-4.95811 36.10999,-4.41797 36.61879,-5.35557 37.59409))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 71263 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058019-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/d77e-7107
title: SEM-EDS images
DOI: 10.15468/dl.u27z3m
title: Occurrence Download

description: A dataset containing 5225239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ireland"
 ]
}

 The dataset includes 5225239 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17974936
title: Kinetic and full spectra of Spiropyrans with different acids.
DOI: 10.5281/zenodo.17974935
title: Kinetic and full spectra of Spiropyrans with different acids.
DOI: 10.15468/dl.e6krap
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hottentotta tamulus, Gigantometrus swammerdami)"
 ]
}

 The dataset includes 607 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058034-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/0qefcs
title: PAN-00013035 - fishing hook metal

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00013035&lt;/p&gt;
description: Modified: 2025-07-10T13:52:32+02:00
DOI: 10.15468/dl.pvy86x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.712503 30.416704, 70.631101 30.411126, 70.55172899999999 30.394531, 70.47636900000001 30.367334, 70.406893 30.330211, 70.345024 30.284089, 70.29229100000001 30.230113, 70.249987 30.169625, 70.21914099999999 30.104125, 70.200492 30.035232, 70.19447599999999 29.964649, 70.201215 29.894114, 70.220516 29.825364, 70.25188 29.760085, 70.294516 29.699877, 70.347364 29.646211, 70.40911800000001 29.600399, 70.478261 29.563556, 70.553105 29.53658, 70.631823 29.520128, 70.712503 29.514599, 70.793183 29.520128, 70.87190099999999 29.53658, 70.94674500000001 29.563556, 71.015888 29.600399, 71.077642 29.646211, 71.13048999999999 29.699877, 71.173126 29.760085, 71.20449000000001 29.825364, 71.22379100000001 29.894114, 71.23053 29.964649, 71.224514 30.035232, 71.205865 30.104125, 71.17501900000001 30.169625, 71.132715 30.230113, 71.079982 30.284089, 71.018113 30.330211, 70.94863700000001 30.367334, 70.873277 30.394531, 70.793905 30.411126, 70.712503 30.416704))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058035-251120083545085/datasets/export for details.
DOI: 10.15468/dl.38na8y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magallana belcheri, Crassostrea belcheri, Ostraea belcheri, Ostrea benefica)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058036-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/mse0h4
title: Cu12_Rec_P500_2.5mm.tab

description: :unav
DOI: 10.57745/vljtwz
title: Cu9_Fra_P125_2.5mm.tab

description: :unav
DOI: 10.57745/ymlcye
title: Cu7_Po_P125_2.5mm.tab

description: :unav
DOI: 10.57745/rzb17u
title: Cu2_Po_P500_Cyc_2.5mm.tab

description: :unav
DOI: 10.57745/a7wuwp
title: Cu11_Rec_P125_2.5mm.tab

description: :unav
DOI: 10.57745/zdw33b
title: Cu13_Fra_P125_Cyc_2.5mm.tab

description: :unav
DOI: 10.57745/gyh0ll
title: Cu8_Po_P500_2.5mm.tab

description: :unav
DOI: 10.57745/l2inzq
title: Cu14_Po_P125_Cyc_2.5mm.tab

description: :unav
DOI: 10.57745/uqgatq
title: Cu5_Rec_P125_Cyc_2.5mm.tab

description: :unav
DOI: 10.17026/ar/ewaetz
title: PAN-00179282 - iron nail general

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00179282&lt;/p&gt;
description: Modified: 2025-09-17T11:08:37+02:00
DOI: 10.57745/z4ztwb
title: Cu10_Fra_P500_2.5mm.tab

description: :unav
DOI: 10.57745/zir6rk
title: Cu6_Rec_P500_Cyc_2.5mm.tab

description: :unav
DOI: 10.57745/pxwyf6
title: Cu4_Fra_P500_Cyc_2.5mm.tab

description: :unav
DOI: 10.57745/blrqf1
title: Specimen_dictionary.xls

description: :unav
DOI: 10.57745/lnnt3x
title: Read_me.txt

description: :unav
DOI: 10.57745/hcayg7
title: Copper/steel static and kinematic friction coefficient under high pressure : influence of surface roughness and normal pressure.

description: This dataset provides high-pressure friction measurements obtained using the tribometer described by Massion et al. [1] , focusing on a copper-steel tribological couple. Static and kinematic friction coefficients were measured for oxygen-free copper specimens sliding against Z160CDV12 hardened steel (56 HRC) dies under normal pressures of 125 and 500 MPa. The influence of surface roughness was investigated using three distinct die surface conditions: milled, ground, and mirror-polished. All tests were conducted under dry contact conditions at room temperature and under displacement-controlled loading with a constant sliding speed of 5 mm/min. Two sliding protocols were applied: single pass sliding and cyclic sliding, allowing the characterization of friction evolution as a function of sliding distance and loading history. The dataset includes measurements of normal and tangential forces, displacement, applied pressure, and calculated friction coefficients. [1] Massion R., Franoux C., Dureau C., Vincent J., Faure L., and Philippon S., « Enhancement of a Tribometer Device Dedicated to Quasi-Static Friction Conditions Under High Pressure », Tribology Letters, 2022, http://dx.doi.org/10.1007/s11249-022-01596-1
DOI: 10.15468/dl.g22nqd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((70.741793 30.360337, 70.660437 30.354759, 70.581112 30.338164, 70.50579399999999 30.310967, 70.436357 30.273844, 70.37452399999999 30.227722, 70.321821 30.173746, 70.27954 30.113258, 70.24871 30.047757, 70.230071 29.978864, 70.224058 29.90828, 70.23079199999999 29.837745, 70.25008099999999 29.768994, 70.28142699999999 29.703714, 70.324039 29.643505, 70.376857 29.589838, 70.438576 29.544025, 70.50768100000001 29.507182, 70.582483 29.480206, 70.661158 29.463753, 70.741793 29.458224, 70.822428 29.463753, 70.90110300000001 29.480206, 70.975905 29.507182, 71.04501 29.544025, 71.106729 29.589838, 71.159547 29.643505, 71.20215899999999 29.703714, 71.23350499999999 29.768994, 71.25279399999999 29.837745, 71.259528 29.90828, 71.25351499999999 29.978864, 71.234876 30.047757, 71.20404600000001 30.113258, 71.161765 30.173746, 71.10906199999999 30.227722, 71.047229 30.273844, 70.97779199999999 30.310967, 70.902474 30.338164, 70.823149 30.354759, 70.741793 30.360337))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058038-251120083545085/datasets/export for details.
DOI: 10.13140/rg.2.2.33580.94086
title: Comparative Analysis of Ecological Corridors and Environmental Corridors: Concepts, Functions, and Planning Implications