cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/rhve-1w13
title: Langeweer 2 (B10H0795) pollen dataset

description: Raw data for the Langeweer 2 (B10H0795) pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/d43p-hs39
title: LDDsite3769 ostracode surface sample dataset

description: Raw data for the LDDsite3769 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.ub8hry
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Portugal, Spain, Netherlands, France, Belgium, Germany, Italy)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pontederia crassipes Mart.",
 "Year 1995-2025"
 ]
}

 The dataset includes 924 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026452-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/xw0s-he58
title: LDDsite3101 ostracode surface sample dataset

description: Raw data for the LDDsite3101 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29039882
title: Supplemental Data for: Bed Shear Stress Modelling for Experimental Flash Floods using Dimensional Analysis

description: Table S1: Data used for calibration for case (i) and case (ii).Table S2: Data used for validation for case (i), case (ii) and comparison with uniform flow model.
DOI: 10.6084/m9.figshare.29040296
title: DS-InSAR 计算result.zip

description: 采矿沉降是煤盆地普遍存在的地质灾害，精确、可靠的变形监测对于有效降低风险至关重要。传统的时间序列 InSAR 存在植被诱导的去相关、裸露地表散射和大气延迟，从而降低了相干像素;此外，大多数预测模型仅利用时间信息。为了解决这些限制，我们引入了一个集成的 DS InSAR + CNN LSTM 框架，用于沉降监测和预报。使用 GACOS 数据校正的 43 个 Sentinel 1A 场景 （2017-2018） 进行了处理，得出累积变形，根据多视图 SBAS InSAR 进行交叉验证，并用于训练提前一年预测趋势的 CNN LSTM 网络。
DOI: 10.21233/gw3p-pt15
title: DiSe-10 vertebrate fauna dataset

description: Raw data for the DiSe-10 vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17617/3.g9lus1
title: Cygnus X Molecular Clouds

description: Properties and maps of molecular clouds in the Cygnus X region inferred using the CO data and the catalogue of cloud distances from https://ui.adsabs.harvard.edu/abs/2024AJ....167..220Z/abstract.
DOI: 10.4121/c65b387f-3af5-43fc-8aa8-85c1b08d70fc
title: Data underlying the PhD dissertation: Decoding open data intermediation business models

description: This folder contains data underlying the PhD dissertation of Ashraf Shaharudin titled, “Decoding Open Data Intermediation Business Models: More than Just a Bridge”. It consists of:Chapter 2 - READMEChapter 2 - Stage-0 Search resultsChapter 2 - Stage-1 Remove redundantChapter 2 - Stage-2 Remove irrelevantChapter 2 - Stage-3 Final filteringChapter 3 - READMEChapter 3 - Tentative interview questionsChapter 3 - Interview transcripts - AllChapter 3 - Coding resultsChapter 4 - Dataset of desk surveyChapter 5 - Interview transcripts - AllChapter 6 - Interview transcripts - All<br><strong>Note about the de-identified interview transcripts:</strong>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and open data intermediaries. The interviews were conducted between April 2023 and October 2024 based on the semi-structured approach. Tentative interview questions were shared with the interviewees in advance (for the majority, at least three working days prior). Personally identifiable information is redacted from the transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, minimal edits were done when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcripts as close to verbatim as possible. <br><strong>Acknowledgement:</strong>This research is part of the 'Towards a Sustainable Open Data ECOsystem' (ODECO) project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.4121/c65b387f-3af5-43fc-8aa8-85c1b08d70fc.v1
title: Data underlying the PhD dissertation: Decoding open data intermediation business models

description: This folder contains data underlying the PhD dissertation of Ashraf Shaharudin titled, “Decoding Open Data Intermediation Business Models: More than Just a Bridge”. It consists of:Chapter 2 - READMEChapter 2 - Stage-0 Search resultsChapter 2 - Stage-1 Remove redundantChapter 2 - Stage-2 Remove irrelevantChapter 2 - Stage-3 Final filteringChapter 3 - READMEChapter 3 - Tentative interview questionsChapter 3 - Interview transcripts - AllChapter 3 - Coding resultsChapter 4 - Dataset of desk surveyChapter 5 - Interview transcripts - AllChapter 6 - Interview transcripts - All<br><strong>Note about the de-identified interview transcripts:</strong>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and open data intermediaries. The interviews were conducted between April 2023 and October 2024 based on the semi-structured approach. Tentative interview questions were shared with the interviewees in advance (for the majority, at least three working days prior). Personally identifiable information is redacted from the transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, minimal edits were done when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcripts as close to verbatim as possible. <br><strong>Acknowledgement:</strong>This research is part of the 'Towards a Sustainable Open Data ECOsystem' (ODECO) project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.21233/nfdj-gs09
title: Skylight Cave vertebrate fauna dataset

description: Raw data for the Skylight Cave vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.2bds93
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 249031",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026453-250426092105405/datasets/export for details.
DOI: 10.21233/6vgm-p786
title: ONTSU 31 pollen surface sample dataset

description: Raw data for the ONTSU 31 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/01f0-jw48
title: Maloja Mire testate amoebae surface sample dataset

description: Raw data for the Maloja Mire testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.fugm57
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera crenata Paul G.Wilson"
 ]
}

 The dataset includes 300 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026454-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wefvvt
title: Occurrence Download

description: A dataset containing 562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Camellia fraterna Hance"
 ]
}

 The dataset includes 562 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026456-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bebc66
title: Occurrence Download

description: A dataset containing 3218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Galeocerdo cuvier (Péron & Lesueur, 1822)"
 ]
}

 The dataset includes 3218 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026458-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/amwk-dd49
title: Ash Rapids West [DjKq-5] vertebrate fauna dataset

description: Raw data for the Ash Rapids West [DjKq-5] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/3t6j-aa43
title: Mother Lake diatom bottom sample dataset

description: Raw data for the Mother Lake diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qtey-aj82
title: Bigelow I [47PT29-1] vertebrate fauna dataset

description: Raw data for the Bigelow I [47PT29-1] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.un557t
title: Occurrence Download

description: A dataset containing 7632 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Compsoneura Warb."
 ]
}

 The dataset includes 7632 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026457-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5rvhc
title: Occurrence Download

description: A dataset containing 41995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.22_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenser brevirostrum Lesueur, 1818, Acipenser oxyrinchus Mitchill, 1815, Chrosomus eos Cope, 1861, Couesius plumbeus (Agassiz, 1850), Agkistrodon contortrix (Linnaeus, 1766), Crotalus horridus Linnaeus, 1758, Dermochelys coriacea (Vandelli, 1761), Eretmochelys imbricata (Linnaeus, 1766), Glyptemys muhlenbergii (Schoepff, 1801), Lepidochelys kempii Garman, 1880, Pantherophis alleghaniensis (Holbrook, 1836), Pseudemys rubriventris (Le Conte, 1830), Asio flammeus (Pontoppidan, 1763), Bartramia longicauda (Bechstein, 1812), Botaurus lentiginosus (Rackett, 1813), Cistothorus platensis (Latham, 1790), Ixobrychus exilis (Gmelin, 1789), Oceanodroma leucorhoa (Vieillot, 1818), Podilymbus podiceps (Linnaeus, 1758), Sterna dougallii Montagu, 1813, Vermivora chrysoptera (Linnaeus, 1766), Balaenoptera borealis Lesson, 1828, Balaenoptera musculus (Linnaeus, 1758), Balaenoptera physalus (Linnaeus, 1758), Eubalaena glacialis (Müller, 1776), Megaptera novaeangliae (Borowski, 1781), Myotis leibii (Audubon & Bachman, 1842), Myotis lucifugus (Le Conte, 1831), Myotis septentrionalis (Trouessart, 1897), Myotis sodalis Miller & G.M.Allen, 1928, Perimyotis subflavus (F.Cuvier, 1832), Physeter macrocephalus Linnaeus, 1758)",
 "Year 2015-2025"
 ]
}

 The dataset includes 41995 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026459-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/78rf-2m65
title: 27 [HFL27] diatom surface sample dataset

description: Raw data for the 27 [HFL27] diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.39rrw9
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Langermannia bicolor (Lév.) Demoulin & Dring"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026460-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/mkw1-7360
title: Sainte-Croix de Lotbinière testate amoebae dataset

description: Raw data for the Sainte-Croix de Lotbinière testate amoebae dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.vckhpa
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Portugal, Spain, Netherlands, France, Belgium, Germany)",
 "OccurrenceStatus is Present",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year 1995-2025"
 ]
}

 The dataset includes 483 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026461-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15297740
title: Multi-Paper Ink Imaging Dataset (79 Pens, India)

description: This dataset captures the appearance of inks from 79 different pens commonly available in the Indian market, observed under various light sources using a Video Spectral Comparator (VSC). Images were collected across three paper types to document ink behavior under different conditions. The dataset is valuable for forensic document examination, ink discrimination studies, and can support the development of machine learning models for automated ink classification and forensic research.
DOI: 10.5281/zenodo.15297741
title: Multi-Paper Ink Imaging Dataset (79 Pens, India)

description: This dataset captures the appearance of inks from 79 different pens commonly available in the Indian market, observed under various light sources using a Video Spectral Comparator (VSC). Images were collected across three paper types to document ink behavior under different conditions. The dataset is valuable for forensic document examination, ink discrimination studies, and can support the development of machine learning models for automated ink classification and forensic research.
DOI: 10.21233/cbqm-6d75
title: Bluefish Cave 2 [MgVo-2] vertebrate fauna dataset

description: Raw data for the Bluefish Cave 2 [MgVo-2] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.kuhw75
title: Occurrence Download

description: A dataset containing 2034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Rwanda",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamiaceae"
 ]
}

 The dataset includes 2034 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026462-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ytx1-zf36
title: LDDsite4845 ostracode surface sample dataset

description: Raw data for the LDDsite4845 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/abbh-j049
title: LDDsite5676 water chemistry dataset

description: Raw data for the LDDsite5676 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s3bn-gq49
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/caqd-vr51
title: 34CD202 vertebrate fauna dataset

description: Raw data for the 34CD202 vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.a27yda
title: Occurrence Download

description: A dataset containing 648546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65.52893 20.72853,103.33792 20.529,136.95701 20.42925,137.15652 64.62287,65.52893 64.82239,65.52893 20.72853))",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 648546 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026443-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.1193922
title: Pleiades Datasets: Initial Preview Release

description: The purpose of this pre-release is primarily to test zenodo integration.

This is a package of data derived from the <em>Pleiades</em> gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org.

<em>Pleiades</em> is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.

<em>Pleiades</em> is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. <em>Pleiades</em> welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.
description: Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.