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

description: A dataset containing 1069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Mauritia flexuosa L.f."
 ]
}

 The dataset includes 1069 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026480-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/vcc6-hs50
title: Matt Warner water chemistry dataset

description: Raw data for the Matt Warner 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: 10.21233/79sd-gh60
title: La Chaux-des-Breuleux testate amoebae surface sample dataset

description: Raw data for the La Chaux-des-Breuleux 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: 10.21233/8yv7-bk78
title: Shellcamp Pond diatom surface sample dataset

description: Raw data for the Shellcamp Pond 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: 10.17632/6z2hjkr29f.1
title: Microbial Source Tracking for Selected Waterbodies within Hillsborough County Compiled Data

description: This dataset contains all microbial data collected (February 2023-January 2025) for the Microbial Source Tracking for Selected Waterbodies within Hillsborough County project. This includes measurements of concentrations of fecal indicator bacteria (Escherichia coli and enterococci) and microbial source tracking markers (HF183, GenBac, GFD, and Rum2Bac), and detections of culturable E. coli that carry the sewage-associated H8 gene. Surface water was sampled in three different water bodies (the Alafia River, Buckhorn Creek, and Rice Creek) on a monthly basis. Environmental data including precipitation is included in the datasheet.
DOI: 10.21233/0yqa-ab30
title: Dajiuhu testate amoebae surface sample dataset

description: Raw data for the Dajiuhu 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/qect-ab83
title: Partridge Farm ostracode surface sample dataset

description: Raw data for the Partridge Farm 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/zj82-a466
title: Salicorniar Albufereta pollen surface sample dataset

description: Raw data for the Salicorniar Albufereta 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: 10.6084/m9.figshare.29040905
title: <b>Pig Structural Variants Reference Panel (PSVRP): a genomic resource for structural variant analysis of complex traits in pigs</b>

description: ，构建结构变异参考面板 （PSVRP）。共鉴定出 305,299 个高置信度 SV，包括 188,851 个插入和 116,448 个缺失。PSVRP 提供了一种高分辨率、群体规模的猪 SVs 基因分型资源，它结合了短读长的准确性和长读长的灵敏度。这项工作加深了我们对遗传变异的理解，并为精准猪育种提供了新的见解。
DOI: 10.6084/m9.figshare.29040905.v1
title: <b>Pig Structural Variants Reference Panel (PSVRP): a genomic resource for structural variant analysis of complex traits in pigs</b>

description: ，构建结构变异参考面板 （PSVRP）。共鉴定出 305,299 个高置信度 SV，包括 188,851 个插入和 116,448 个缺失。PSVRP 提供了一种高分辨率、群体规模的猪 SVs 基因分型资源，它结合了短读长的准确性和长读长的灵敏度。这项工作加深了我们对遗传变异的理解，并为精准猪育种提供了新的见解。
DOI: 10.5281/zenodo.15374916
title: Microplastics sensor data - MULTISOURCE

description: Sensors are installed at the inlet and outlet of the rain garden to evaluate the performance of the Norwegian pilot system for treating runoff from Tåsenveien in the municipality of Oslo.

Turbidity is a measure of suspended particles in a liquid or the relative clarity of a liquid and can indicate water quality. Conductivity can reflect levels of salinity from road salting during winter.

Raw data (i.e., not quality-assured) with metadata from these sensors can also be accessed via the links below and include measurements of turbidity, temperature, conductivity, and water level. The uploaded json files are a dump of the data accessible in the links below.

MULTISOURCE/DIGIVEIVANN Inlet

MULTISOURCE/DIGIVEIVANN Outlet
DOI: 10.5281/zenodo.15374917
title: Microplastics sensor data - MULTISOURCE

description: Sensors are installed at the inlet and outlet of the rain garden to evaluate the performance of the Norwegian pilot system for treating runoff from Tåsenveien in the municipality of Oslo.

Turbidity is a measure of suspended particles in a liquid or the relative clarity of a liquid and can indicate water quality. Conductivity can reflect levels of salinity from road salting during winter.

Raw data (i.e., not quality-assured) with metadata from these sensors can also be accessed via the links below and include measurements of turbidity, temperature, conductivity, and water level. The uploaded json files are a dump of the data accessible in the links below.

MULTISOURCE/DIGIVEIVANN Inlet

MULTISOURCE/DIGIVEIVANN Outlet
DOI: 10.5281/zenodo.15388808
title: Test data for Voronoi segmentation tutorial: Image

description: Test image for the GTN tutorial titled 'Voronoi segmentation': https://zenodo.org/records/15172302
DOI: 10.5281/zenodo.15388809
title: Test data for Voronoi segmentation tutorial: Image

description: Test image for the GTN tutorial titled 'Voronoi segmentation': https://zenodo.org/records/15172302
DOI: 10.21233/ezbf-qp73
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: 10.6084/m9.figshare.29019161
title: Yeom-et.al [synthetic compounds 3aa&7]

description: The raw NMR data for the compounds 3aa and 7 measured in the published paper (DOI: org/10.1021/acs.orglett.4c01530).
DOI: 10.15468/dl.zjc3jn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 249031"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026484-250426092105405/datasets/export for details.
DOI: 10.21233/qfc0-br68
title: Davis Pond diatom surface sample dataset

description: Raw data for the Davis Pond 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: 10.25403/upresearchdata.28938188
title: Household and community perceptions on Miombo woodland use and management in Gundani Village, South Africa

description: This dataset supports a mixed-methods study conducted in Gundani Village, located in the Vhembe District of Limpopo Province, South Africa. Data was collected using both quantitative and qualitative methods. The dataset includes an Excel file containing structured household survey data that captures demographic information, livelihood activities, woodland resource availability and importance, and existing management practices. Another Excel file documents the use value of different tree species based on their utility for firewood, fodder, construction, and other purposes.The quantitative data includes two Word documents comprising transcribed qualitative data: one from a focus group discussion held with community members to explore collective views on woodland use and management, and another from a key informant interview with a local stakeholder knowledgeable in forest management. A PDF copy of the questionnaire used for data collection is also provided. The combination of these data sources offers a comprehensive understanding of community-level interactions with Miombo woodlands, highlighting socio-economic dependencies, traditional knowledge, and challenges in sustainable management. The dataset is valuable for researchers, conservation practitioners, and policymakers interested in forest resource management, rural livelihoods, and participatory management approaches.
DOI: 10.25403/upresearchdata.28938188.v1
title: Household and community perceptions on Miombo woodland use and management in Gundani Village, South Africa

description: This dataset supports a mixed-methods study conducted in Gundani Village, located in the Vhembe District of Limpopo Province, South Africa. Data was collected using both quantitative and qualitative methods. The dataset includes an Excel file containing structured household survey data that captures demographic information, livelihood activities, woodland resource availability and importance, and existing management practices. Another Excel file documents the use value of different tree species based on their utility for firewood, fodder, construction, and other purposes.The quantitative data includes two Word documents comprising transcribed qualitative data: one from a focus group discussion held with community members to explore collective views on woodland use and management, and another from a key informant interview with a local stakeholder knowledgeable in forest management. A PDF copy of the questionnaire used for data collection is also provided. The combination of these data sources offers a comprehensive understanding of community-level interactions with Miombo woodlands, highlighting socio-economic dependencies, traditional knowledge, and challenges in sustainable management. The dataset is valuable for researchers, conservation practitioners, and policymakers interested in forest resource management, rural livelihoods, and participatory management approaches.
DOI: 10.21233/betd-4z91
title: Lake Biwa, North Basin ostracode surface sample dataset

description: Raw data for the Lake Biwa, North Basin 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: 10.21233/4xzf-5013
title: Unknown P. water chemistry dataset

description: Raw data for the Unknown P. 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: 10.21233/97f6-w668
title: Minden City Caribou vertebrate fauna dataset

description: Raw data for the Minden City Caribou 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.xega2t
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/0026486-250426092105405/datasets/export for details.
DOI: 10.21233/h4rq-v441
title: Beaver Lake loss-on-ignition dataset

description: Raw data for the Beaver Lake loss-on-ignition 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.pq4pcr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 249031"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026487-250426092105405/datasets/export for details.
DOI: 10.21233/zxtk-8f88
title: LDDsite5146 water chemistry dataset

description: Raw data for the LDDsite5146 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: 10.21233/4dj3-hy10
title: Lindedal 2 pollen dataset

description: Raw data for the Lindedal 2 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: 10.21233/6z73-yz84
title: Bay of Quinte water chemistry dataset

description: Raw data for the Bay of Quinte 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/g81e-w289
title: LDDsite369 ostracode surface sample dataset

description: Raw data for the LDDsite369 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: 10.7910/dvn/s39dqu
title: Vision

description: &lt;!DOCTYPE html&gt;
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&lt;head&gt;
 &lt;meta charset="UTF-8"&gt;
 &lt;meta name="viewport" content="width=device-width, initial-scale=1"&gt;
 &lt;title&gt;VISION Dataset&lt;/title&gt;
 &lt;style&gt;
 body {
 font-family: Arial, sans-serif;
 margin: 40px;
 background-color: #f9f9f9;
 color: #333;
 }
 h1 {
 color: #004080;
 }
 h2 {
 color: #0066cc;
 margin-top: 40px;
 }
 p {
 line-height: 1.6;
 }
 .highlight {
 background-color: #e8f0fe;
 padding: 10px;
 border-left: 4px solid #007acc;
 }
 &lt;/style&gt;
&lt;/head&gt;
&lt;body&gt;

 &lt;h1&gt;VISION Dataset&lt;/h1&gt;

 &lt;p&gt;&lt;strong&gt;VISION (Vehicle Identification and Surveillance through Interactive Natural language)&lt;/strong&gt; is a benchmark dataset designed for natural language-based vehicle retrieval in real-world surveillance environments.&lt;/p&gt;

 &lt;h2&gt;Why VISION?&lt;/h2&gt;
 &lt;div class="highlight"&gt;
 &lt;p&gt;Traditional vehicle retrieval models rely heavily on preprocessed representations and auxiliary tools, which limits their applicability in real-world surveillance systems.&lt;/p&gt;
 &lt;/div&gt;
 &lt;p&gt;VISION enables retrieval directly from raw surveillance video using only a multimodal model, without complex preprocessing pipelines.&lt;/p&gt;

 &lt;h2&gt;Key Features&lt;/h2&gt;
 &lt;ul&gt;
 &lt;li&gt;~7,000 vehicle clips, 967,705 frames&lt;/li&gt;
 &lt;li&gt;Collected from the United States, South Korea, and Indonesia&lt;/li&gt;
 &lt;li&gt;Rich, fine-grained natural language annotations&lt;/li&gt;
 &lt;li&gt;Context-aware descriptions including vehicle motion and interactions&lt;/li&gt;
 &lt;li&gt;Greater diversity in road types, weather, and environments&lt;/li&gt;
 &lt;/ul&gt;

 &lt;h2&gt;Limitations of Previous Datasets&lt;/h2&gt;
 &lt;p&gt;The previous benchmark, &lt;strong&gt;CityFlow-NL&lt;/strong&gt;, suffered from:&lt;/p&gt;
 &lt;ul&gt;
 &lt;li&gt;Annotation inconsistencies and errors&lt;/li&gt;
 &lt;li&gt;Overly simplistic descriptions (e.g., “a black sedan going straight”)&lt;/li&gt;
 &lt;li&gt;Lack of diversity in data (limited to daytime, single country)&lt;/li&gt;
 &lt;/ul&gt;

 &lt;h2&gt;Contribution&lt;/h2&gt;
 &lt;p&gt;VISION provides a strong foundation for building robust, generalizable retrieval models suitable for complex urban environments and real-time surveillance systems.&lt;/p&gt;

 &lt;footer style="margin-top:50px; font-size: 0.9em; color: #888;"&gt;
 &copy; 2025 VISION Dataset Team | For research use only
 &lt;/footer&gt;

&lt;/body&gt;
&lt;/html&gt;
DOI: 10.21233/zyx9-wx84
title: Venhuizen De spuiter pollen dataset

description: Raw data for the Venhuizen De spuiter 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: 10.15468/dl.td7hwv
title: Occurrence Download

description: A dataset containing 107225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Icterus cayanensis (Linnaeus, 1766)"
 ]
}

 The dataset includes 107225 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026471-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/r72v-pk83
title: Alkaline Lake pollen surface sample dataset

description: Raw data for the Alkaline Lake 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: 10.21233/4bb7-eq08
title: Secret Pond pollen surface sample dataset

description: Raw data for the Secret Pond 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: 10.6084/m9.figshare.28536716
title: Accurate Correlations for the Turbulent Pipe flow of non-Newtonian Fluids - Datasets

description: Turbulent pipe flow of non-Newtonian (NN) fluids is vital in many industries, yet accurately predicting the critical Reynolds number (Re_crit) and Fanning friction factor (C_f) remains challenging. Conventional numerical methods and empirical correlations often yield large errors (&gt;50%), leading to inefficient pipeline design and potential failures.This study uses direct numerical simulation (DNS) to develop precise correlations for Re_crit and C_f. Unlike traditional methods, DNS captures all turbulent flow scales without unvalidated turbulence closures, ensuring accuracy despite high computational costs. Simulations using Herschel-Bulkley and Sisko models across various Reynolds numbers and rheological parameters yield simple, accurate correlations.Validated against experiments, DNS-based correlations achieve superior accuracy (L2 error ~6%) compared to conventional models (~16%) and estimate rheological parameters with errors of just 1.88% (HB) and 2.78% (Sisko). These correlations provide a robust and reliable approach for predicting NN turbulent pipe flow.<br><br>The research data contains the details on the DNS computations that were used to develop the correlations for Re_crit and C_f.
DOI: 10.21233/ts6e-h593
title: Petiville pollen dataset

description: Raw data for the Petiville 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/w735-9m23
title: Hollumerbosch pollen dataset

description: Raw data for the Hollumerbosch 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: 10.21233/2bjb-rv15
title: LDDsite567 water chemistry dataset

description: Raw data for the LDDsite567 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: 10.5281/zenodo.15388593
title: Dataset associated with Modality specific memory enhancement in Heliconius butterflies

description: Dataset and R code associated with the paper Modality specific memory enhancement in Heliconius butterflies. This includes four datasets, one for the sensory conflict experiment and three for the sensory long-term memory (one of which is the combined olfactory and visual datasets), as well as the two R analyses for each experiment.
DOI: 10.5281/zenodo.15388594
title: Dataset associated with Modality specific memory enhancement in Heliconius butterflies

description: Dataset and R code associated with the paper Modality specific memory enhancement in Heliconius butterflies. This includes four datasets, one for the sensory conflict experiment and three for the sensory long-term memory (one of which is the combined olfactory and visual datasets), as well as the two R analyses for each experiment.