cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j8wrgp
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euonymus japonicus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 400 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049098-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgc4en
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024510-250811113504898/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12038001
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.29212778
title: Beyond the title-deed division – developing a holistic framework for characterising mature cadastral systems

description: Cadastral systems are widely recognised as important tools for providing trusted spatial data to benefit the society. To provide a tool for evaluation and comparison of mature cadastral systems, and for an in-depth understanding of their role and value, we review existing literature to develop a holistic framework and illustrate its applicability via a case study. The framework highlights the importance of considering a wide variety of features to accurately characterise mature systems. The case study findings indicate that the framework facilitates evaluation of mature cadastral systems and finding meaningful differences between systems.
DOI: 10.15468/dl.jebw6e
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamna ditropis Hubbs & Follett, 1947"
 ]
}

 The dataset includes 1448 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012927-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ce9vf5
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalacrocorax bougainvillii (Lesson, 1837)"
 ]
}

 The dataset includes 283 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012926-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gb5hsp
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spondias dulcis Parkinson",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 338 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012928-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21334/npolar.2025.509227a0
title: Geological map of Svalbard 1:100 000 (S100 Geological Map Data)
DOI: 10.5281/zenodo.15168520
title: Instances of the Single Picker Routing Problem for Benchmarking and Supervised Learning
DOI: 10.5281/zenodo.15168521
title: Instances of the Single Picker Routing Problem for Benchmarking and Supervised Learning
DOI: 10.15468/dl.wswa8m
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera bipinnata (Moc. & Sessé ex DC.) Engl."
 ]
}

 The dataset includes 154 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007053-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcjj2r
title: Occurrence Download

description: A dataset containing 132926034 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 132926034 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029662-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rctu5a
title: Occurrence Download

description: A dataset containing 800640 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL.2_2)",
 "StateProvince is one of (Antioquia)",
 "Year 2019-2025"
 ]
 }
 ]
}

 The dataset includes 800640 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029676-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17594762
title: Chua et al. 2025 Kymographs of PCNA, RFC, RFCdBRCT, and FEN1 on Gapped or Nicked DNA

description: Full kymographs of PCNA, RFC, RFCdBRCT, and/or FEN1 on gapped or nicked DNA. Associated with manuscript by Chua et al. 2025.
DOI: 10.5281/zenodo.17594763
title: Chua et al. 2025 Kymographs of PCNA, RFC, RFCdBRCT, and FEN1 on Gapped or Nicked DNA

description: Full kymographs of PCNA, RFC, RFCdBRCT, and/or FEN1 on gapped or nicked DNA. Associated with manuscript by Chua et al. 2025.
DOI: 10.5281/zenodo.17594731
title: Chua et al. 2025 Kymographs of PCNA and RFC on Double-Stranded DNA

description: Full kymographs of PCNA and/or RFC on fully double-stranded DNA. Associated with manuscript by Chua et al. 2025.
DOI: 10.5281/zenodo.17594732
title: Chua et al. 2025 Kymographs of PCNA and RFC on Double-Stranded DNA

description: Full kymographs of PCNA and/or RFC on fully double-stranded DNA. Associated with manuscript by Chua et al. 2025.
DOI: 10.57830/2314532
title: Field data for the Vegetation Mapping Inventory Project of El Morro National Monument - Open Format Data Package

description: These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of El Morro National Monument.  These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
DOI: 10.5281/zenodo.17069914
title: CHU Eclipse Data — Audio Recordings (EQ)

description: This dataset encompasses all CHU .WAV files recorded by volunteers during the 8 April 2024 eclipse. 

 

The EQ volunteers are listed below:

Conrad Trautmann N2YCHRobert Harder WB8ILIJoe St. Columbia, Jr.  W5HARRobert Heider W0EJODoug Netherton VE3MCFScott Jacobsen VA3SLJ*John Gibbons N8OBJWIlliam Schraader K2TNO*Nicholas Kartsioukas*Rob Haddow VE3RXHDavid Wang N8BMAJohn Skain KD9DXFAdam Goodman W8EDUJocelyn Brault KD8VRXGeorge Moranian N1NAZRandy Swart N2CUAHoward ``Hank" Seidel N3NMVTom Porritt K8EODGraham Collins VE3GTCRobert Mazur VA3ROMRobert Lynch KJ6EI/VE7*Alan Robert Otto VE1KAOGil Jones AA9FTRay Cannon W7GLFJim Elmore WA4YWMDavid Hinerman WD8CIVIan Cook WQ6DEd Tink VA3EJTLouis Crocker N2ENDRichard Williams W3OABob Hawkins WA8VZY*Steve Dryja NO9BDave Goodwin VE3KG*Terry Godley N6AJJim Merritt ND1TMike Marsh K4NLCDenis P. Cote W1WVBryan A Daniel KG2BADPhil Lytle VE3HOAPeter Dickson KE8UZFRonald Dang K5UTDRoss Dahl VE6ARS*Jason Thomas Lawson KJ5CHW*Stephane Bougie VE2BWX*Sila Kissuu AK0SKRichard Langley *Philippe Lin VA3TWNTom Sneddon VE6ZC** = no dataset uploaded to ZenodoAll audio recordings can be found via the list of DOIs below.
DOI: 10.5281/zenodo.17069913
title: CHU Eclipse Data — Audio Recordings (EQ)

description: This dataset encompasses all CHU .WAV files recorded by volunteers during the 8 April 2024 eclipse. 

 

The EQ volunteers are listed below:

Conrad Trautmann N2YCHRobert Harder WB8ILIJoe St. Columbia, Jr.  W5HARRobert Heider W0EJODoug Netherton VE3MCFScott Jacobsen VA3SLJ*John Gibbons N8OBJWIlliam Schraader K2TNO*Nicholas Kartsioukas*Rob Haddow VE3RXHDavid Wang N8BMAJohn Skain KD9DXFAdam Goodman W8EDUJocelyn Brault KD8VRXGeorge Moranian N1NAZRandy Swart N2CUAHoward ``Hank" Seidel N3NMVTom Porritt K8EODGraham Collins VE3GTCRobert Mazur VA3ROMRobert Lynch KJ6EI/VE7*Alan Robert Otto VE1KAOGil Jones AA9FTRay Cannon W7GLFJim Elmore WA4YWMDavid Hinerman WD8CIVIan Cook WQ6DEd Tink VA3EJTLouis Crocker N2ENDRichard Williams W3OABob Hawkins WA8VZY*Steve Dryja NO9BDave Goodwin VE3KG*Terry Godley N6AJJim Merritt ND1TMike Marsh K4NLCDenis P. Cote W1WVBryan A Daniel KG2BADPhil Lytle VE3HOAPeter Dickson KE8UZFRonald Dang K5UTDRoss Dahl VE6ARS*Jason Thomas Lawson KJ5CHW*Stephane Bougie VE2BWX*Sila Kissuu AK0SKRichard Langley *Philippe Lin VA3TWNTom Sneddon VE6ZC** = no dataset uploaded to ZenodoAll audio recordings can be found via the list of DOIs below.
DOI: 10.34740/kaggle/dsv/13711837
title: Dataset jadwal event lariku.info
DOI: 10.5281/zenodo.17594821
title: Supplementary table 1 Histological patterns in normocalcemic and hypercalcemic primary hyperparathyroidism patients
DOI: 10.5281/zenodo.17594820
title: Supplementary table 1 Histological patterns in normocalcemic and hypercalcemic primary hyperparathyroidism patients
DOI: 10.6084/m9.figshare.30597128
title: The raw data of NGS of on-target and bystander effects in mice in Fig.3 b-c and EDFig.5 e-r.

description: To quantify<i> in vivo </i>editingrates, we performed targeted NGS across retrosplenial cortex (RSC), hippocampus (HIP), anterior cingulate cortex (ACC), olfactory bulb (OB), prefrontal cortex (PFC), and cerebellum (CB) from <i>Chd3</i><sup><em>hR1025W/+</em></sup> mice treated with either non-targeting TeABE (NT-TeABE) or TeABE.
DOI: 10.6084/m9.figshare.30597128.v1
title: The raw data of NGS of on-target and bystander effects in mice in Fig.3 b-c and EDFig.5 e-r.

description: To quantify<i> in vivo </i>editingrates, we performed targeted NGS across retrosplenial cortex (RSC), hippocampus (HIP), anterior cingulate cortex (ACC), olfactory bulb (OB), prefrontal cortex (PFC), and cerebellum (CB) from <i>Chd3</i><sup><em>hR1025W/+</em></sup> mice treated with either non-targeting TeABE (NT-TeABE) or TeABE.
DOI: 10.15468/dl.2nq7yg
title: Occurrence Download

description: A dataset containing 9387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus brevifolia"
 ]
}

 The dataset includes 9387 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029686-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbg29t
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hypericum drummondii (Grev. & Hook.) Torr. & A.Gray",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 104 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009720-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scj7zu
title: Occurrence Download

description: A dataset containing 584715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-02-26",
 "EventDate is less than or equal to 2025-03-28",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 584715 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011854-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29993698
title: <b>AI Incompleteness Triad</b>

description: This paper proposes the philosophical concept of the “AI Incompleteness Triad,” describing three fundamental limitations of artificial intelligence: the abstraction level limitation, the meta-analysis level limitation, and the semantic splitting limitation. These limitations are connected to the philosophical notion of the Limit of Ontological Grounding, which sets metaphysical boundaries for machine cognition. Through an analysis of the synergy between these limitations, the concept demonstrates why AI cannot achieve complete understanding of reality, forming the basis of the doctrine “The Ground of the Impossible for AI Systems.”<b>Author Contributions</b>The author solely conceptualized, researched, and authored the manuscript. No other individuals contributed to the design, writing, or interpretation of the study.<b>Use of Generative AI Tools</b>The author independently generated the ideas and interpretations presented in this manuscript. Generative AI tools were used solely to assist in finding relevant examples, sources, and to help expand and refine thesis statements.<br>All AI-assisted outputs were carefully reviewed and edited by the author, who takes full responsibility for the accuracy and integrity of the final content.
DOI: 10.6084/m9.figshare.29993698.v1
title: <b>AI Incompleteness Triad</b>

description: This paper proposes the philosophical concept of the “AI Incompleteness Triad,” describing three fundamental limitations of artificial intelligence: the abstraction level limitation, the meta-analysis level limitation, and the semantic splitting limitation. These limitations are connected to the philosophical notion of the Limit of Ontological Grounding, which sets metaphysical boundaries for machine cognition. Through an analysis of the synergy between these limitations, the concept demonstrates why AI cannot achieve complete understanding of reality, forming the basis of the doctrine “The Ground of the Impossible for AI Systems.”<b>Author Contributions</b>The author solely conceptualized, researched, and authored the manuscript. No other individuals contributed to the design, writing, or interpretation of the study.<b>Use of Generative AI Tools</b>The author independently generated the ideas and interpretations presented in this manuscript. Generative AI tools were used solely to assist in finding relevant examples, sources, and to help expand and refine thesis statements.<br>All AI-assisted outputs were carefully reviewed and edited by the author, who takes full responsibility for the accuracy and integrity of the final content.
DOI: 10.60594/w4gw2t
title: Clip Plot and Macroplot Photographs Collected at the 2023 Department of Defense Wildland Fire Science Initiative Eglin Air Force Base Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots were taken in the G20, G25, and L25 Units. This dataset provides the photographs collected before (December 2022) and after (March 2023) the prescribed burns.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Eglin Air Force Base from March 11 to 19, 2023. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Eglin Air Force Base 2023: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for has Metadata link).
DOI: 10.15468/dl.v5r8ga
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015590-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/26863258.v1
title: Dataset from: Variation in patterns of production and water-use efficiency among agroecosystems across the LTAR Network

description: Across agroecosystems, water is a key driver of primary production, and thus, the relationship between water and production (i.e., water-use efficiency; WUE) provides a relevant indicator for evaluating agroecosystem function. These data were used to characterize this relationship spanning diverse agroecosystems and climates represented by the USDA’s Long-Term Agroecosystem Research (LTAR) network. This dataset contains precipitation and aboveground net primary production (ANPP) across an extensive set of rainfed production systems and climate conditions, including rangelands, croplands, and pasturelands that span a precipitation gradient of 265-1347 mm yr<sup>-1</sup>. Data include long-term ANPP data from fifteen LTAR sites collected between 1983 and 2022, with record lengths ranging from 5 to 38 years, and corresponding annual precipitation amounts. These long-term data serve as an important resource for understanding how shifts in water availability with climate change may impact the ability of agricultural lands to produce the resources needed to support a growing human population.
DOI: 10.5281/zenodo.17644055
title: Índice de Fragilidad del Desarrollo Humano en América Latina y el Caribe (2010–2022)
title: Human Development Fragility Index in Latin America and the Caribbean (2010–2022)

description: FDH-LAC Dataset (2010–2022)This dataset contains the Human Development Index (HDI), the Inequality-Adjusted HDI (IDH-D), the Human Development Fragility Index (FDH), the INFORM Risk Index 2023 (Hazard & Exposure) component, and the Gini coefficient for 14 countries in Latin America and the Caribbean. Data include the years 2010, 2015, 2019, and 2022.
DOI: 10.5281/zenodo.17644056
title: Índice de Fragilidad del Desarrollo Humano en América Latina y el Caribe (2010–2022)
title: Human Development Fragility Index in Latin America and the Caribbean (2010–2022)

description: FDH-LAC Dataset (2010–2022)This dataset contains the Human Development Index (HDI), the Inequality-Adjusted HDI (IDH-D), the Human Development Fragility Index (FDH), the INFORM Risk Index 2023 (Hazard & Exposure) component, and the Gini coefficient for 14 countries in Latin America and the Caribbean. Data include the years 2010, 2015, 2019, and 2022.
DOI: 10.3886/e240527
title: HIFLD OPEN US Army Corps of Engineers (USACE) Civil Works Divisions

description: Polygons showing USACE Civil Works Division boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 04/16/20 - Update to show new LRC boundary.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240527v1
title: HIFLD OPEN US Army Corps of Engineers (USACE) Civil Works Divisions

description: Polygons showing USACE Civil Works Division boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 04/16/20 - Update to show new LRC boundary.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.6084/m9.figshare.24512653.v3
title: Community context dictates the net impact of soil biota on plant growth

description: Dataset for Kenneth J. Oppon et al.(): Community context dictates the net impact of soil biota on plant growthThe "agrostis_data" file contains the data from the experiment.The "agrostis_metadata" file contains the metadata for the data file.The "published_script" R file contains all code needed to reproduce analyses and figures mentioned within the manuscript.
DOI: 10.15482/usda.adc/27098038
title: Data from: Evaluation of alternative-design cotton gin lint cleaning machines on fiber length uniformity index

description: This is USDA-ARS data from the publication: "Evaluation of Alternative-Design Cotton Gin Lint Cleaning Machines on Fiber Length Uniformity Index". The study was conducted in 2018 & 2019 with continued sample and data analysis through August 2023. Developing cotton ginning methods that improve fiber length uniformity index to levels that are compatible with the newer and more efficient spinning technologies would expand market share and increase the demand for cotton products and give U.S. cotton a competitive edge to synthetic fibers. Older studies on lint cleaning machines showed that the most widely used feed mechanism that places fiber on the cleaning cylinder damages fiber and reduces uniformity. The present study evaluates how conventional and experimental feed mechanisms affect uniformity. The lint cleaners were used with both saw and roller gin stands. Four diverse cotton cultivars from the Far West, Southwest, and Mid-South were used in the test. The data included gining process variables, raw seed cotton characteristics, raw lint High Volume Instrument (HVI), Advanced Fiber Information System (AFIS), and micro-dust and trash analyzer (MDTA3) measurements.