cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24xc4l
title: CCDC 1993459: Experimental Crystal Structure Determination

description: Related Article: Cristin E. Juda, Rex C. Handford, Amymarie K. Bartholomew, Tamara M. Powers, Nina X. Gu, Elisabeth Meyer, Nikolaj Roth, Yu-sheng Chen, Shao-Liang Zheng, Theodore A. Betley|2024|Chemical Science|15|8242|doi:10.1039/D3SC03606E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24xcct
title: CCDC 1993466: Experimental Crystal Structure Determination

description: Related Article: Cristin E. Juda, Rex C. Handford, Amymarie K. Bartholomew, Tamara M. Powers, Nina X. Gu, Elisabeth Meyer, Nikolaj Roth, Yu-sheng Chen, Shao-Liang Zheng, Theodore A. Betley|2024|Chemical Science|15|8242|doi:10.1039/D3SC03606E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.vc8sax
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva trimestris",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046197-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwrwxv
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva trimestris",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046199-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3588
title: TREC 2001 CROSS LANGUAGE DATASET
DOI: 10.15468/dl.3uqvb7
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.16277 -24.25579,-50.83723 -24.25579,-50.83723 -9.74421,-87.16277 -9.74421,-87.16277 -24.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Telmatobius culeus"
 ]
}

 The dataset includes 73 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046198-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17087545
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250909r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250909r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17087546
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250909r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250909r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5284/1088145
title: Images from a Building Recording at Barn House Farm, Foxlydiate Lane, Redditch 2021

description: This collection comprises images from a building recording carried out by Worcestershire Archaeology for Orion Heritage at Barn House Farm, Foxlydiate Lane, Redditch in June 2021, in advance of proposed demolition of existing buildings and the development of 63 dwellings with associated public open space and infrastructure.
DOI: 10.15468/dl.4433td
title: Occurrence Download

description: A dataset containing 1854791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-105.30017 20.66206,-104.38082 20.76651,-103.74446 21.37175,-104.18502 22.34283,-104.78466 22.95834,-105.69025 23.05408,-105.67036 22.02129,-105.45314 21.61229,-105.26652 21.50132,-105.23286 21.50132,-105.20227 21.45577,-105.25734 21.35323,-105.23286 21.13366,-105.56328 20.74792,-105.34606 20.73934,-105.30017 20.66206)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Mammalia, Amphibia, Reptilia, Reptilia, Reptilia, Reptilia)"
 ]
}

 The dataset includes 1854791 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046125-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13023/cedata8.25
title: Real-Time Dynamic Hazard Maps for Shallow Colluvial Landslides in Eastern Kentucky

description: Landslide hazards pose a persistent threat to communities and infrastructure in Eastern Kentucky, where steep slopes, shallow colluvial soils, and variable hydrological conditions drive frequent slope failures. This work advances landslide hazard mapping (LHM) through the development of dynamic, spatiotemporal models for shallow colluvial landslides. Two studies refine the use of a limit equilibrium framework to enhance predictive capability. The first study establishes a novel LHM workflow that integrates Hydrus-1D simulations of soil moisture dynamics, driven by precipitation and evapotranspiration data, into slope stability analysis. Factor of Safety (FS) parameters are applied to statistics-based landslide susceptibility maps (LSM), producing accurate, predictive hazard maps validated against documented landslides in Pike and Breathitt Counties. This approach demonstrates the feasibility of generating robust LHMs using publicly accessible datasets. The second study extends this workflow by improving slope stability assessments through refinement of the depth-to-bedrock parameter and incorporation of soil root cohesion into FS calculations. By automating data extraction and map generation in a Python environment, this study enables efficient, near-real-time forecast capabilities, including 72-hour landslide hazard predictions. Results underscore the critical role of vegetation and root cohesion in slope stability while highlighting the potential for proactive hazard mitigation. Together, these studies establish a comprehensive, adaptable methodology that leverages both physical process modeling and machine learning, providing a pathway toward accurate, operational landslide hazard forecasting in data-limited regions.
DOI: 10.15468/dl.wphbae
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gnathopogon nicholsi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "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/0046200-250827131500795/datasets/export for details.
DOI: 10.15468/dl.s9gj2h
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "TaxonKey is Boeremia foveata"
 ]
}

 The dataset includes 111 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046201-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/lbl-khs-kvx
title: Indeterminatae lichenes

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.25810/n3xc-9577.53
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - August 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.7910/dvn/9cu1qk
title: Global Flood Proportional Economic Loss Risk Deciles

description: The Global Flood Proportional Economic Loss Risk Deciles is a 2.5 minute grid of flood hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
description: To provide a spatial surface of the proportional economic impacts of global flood hazard.
DOI: 10.15468/dl.gd5cvu
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046204-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh2nkb
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046203-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uqzs6
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 228 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046205-250827131500795/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.30086311
title: Evenness–Stability study: Data and R code

description: Disturbance regulates the relationship between species evenness and ecosystem temporal stability
DOI: 10.6084/m9.figshare.30086311.v1
title: Evenness–Stability study: Data and R code

description: Disturbance regulates the relationship between species evenness and ecosystem temporal stability
DOI: 10.15468/dl.bf6bvw
title: Occurrence Download

description: A dataset containing 2516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polistes canadensis"
 ]
}

 The dataset includes 2516 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046207-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dakzwz
title: Occurrence Download

description: A dataset containing 2754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mimosa acantholoba, Mimosa acantholoba acantholoba, Mimosa acapulcensis, Mimosa aculeaticarpa, Mimosa acutistipula acutistipula)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2754 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046208-250827131500795/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.30087313
title: <b>Pioneering a New Era in FMCG–MLM Business Models</b>

description: This paper introduces the <b>Hybrid FMCG–MLM Methodology</b>, a novel framework that integrates the rigor of FMCG with the relational strength of MLM. Drawing from more than three decades of professional experience across Latin America, North America, and Europe, I present evidence that hybridization creates <b>resilience, scalability, and human-centricity</b>. Through detailed analysis, case studies, and theoretical foundations, this work demonstrates how businesses can achieve sustainable growth by combining structure and connection.
DOI: 10.6084/m9.figshare.30087313.v1
title: <b>Pioneering a New Era in FMCG–MLM Business Models</b>

description: This paper introduces the <b>Hybrid FMCG–MLM Methodology</b>, a novel framework that integrates the rigor of FMCG with the relational strength of MLM. Drawing from more than three decades of professional experience across Latin America, North America, and Europe, I present evidence that hybridization creates <b>resilience, scalability, and human-centricity</b>. Through detailed analysis, case studies, and theoretical foundations, this work demonstrates how businesses can achieve sustainable growth by combining structure and connection.
DOI: 10.3535/t3m-8n5-znr
title: Cetraria islandica (L.) Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.xm55ky
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Moenkhausia pankilopteryx)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046210-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/igirmv
title: Global Flood Mortality Risks and Distribution

description: The Global Flood Mortality Risks and Distribution is a 2.5 minute grid of global flood mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provided a baseline population per grid cell from which to estimate potential mortality risks due to flood hazard. Mortality loss estimates per flood event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of flood hazard are obtained from the Global Flood Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and the procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing hazard with an approximately equal number of grid cells per class, producing a relative estimate of flood-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).
description: To provide a means of assessing global flood mortality risks and distribution.
DOI: 10.25810/rxtv-eb29.89
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - August 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.7q8nw2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046212-250827131500795/datasets/export for details.
DOI: 10.15468/dl.ttz7ma
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046214-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.17087598
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250909r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250909r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17087599
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250909r Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250909r Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.fpcdm3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046215-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1084973
title: Images from an Archaeological Watching Brief at the Church of St Thomas of Canterbury with St Peter and St Paul, Birtsmorton 2019

description: This collection comprises of 79 photographs from an archaeological watching brief carried out in January and February 2019, by Worcestershire Archaeology at the church of St Thomas of Canterbury with St Peter and St Paul, Birtsmorton, Worcestershire. The monitored works comprised the archaeological monitoring of improvements to an external drainage system and the excavation of new soakaways and associated drainage trenches within the churchyard.
DOI: 10.18434/mds2-1453
title: Recommended Gas Phase Enthalpies of Formation for Hydrogen-Oxygen (HxOy) Species
DOI: 10.15468/dl.7fw77m
title: Occurrence Download

description: A dataset containing 491133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2012",
 "Year is less than or equal to 2012"
 ]
}

 The dataset includes 491133 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046179-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/krrxeh
title: Global Flood Hazard Frequency and Distribution

description: The Global Flood Hazard Frequency and Distribution is a 2.5 minute grid derived from a global listing of extreme flood events between 1985 and 2003 (poor or missing data in the early/mid 1990s) compiled by Dartmouth Flood Observatory and georeferenced to the nearest degree. The resultant flood frequency grid was then classified into 10 classes of approximately equal number of grid cells. The greater the grid cell value in the final data set, the higher the relative frequency of flood occurrence. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
description: To provide a means of assessing the relative distribution and frequency of global flood hazard.
DOI: 10.6084/m9.figshare.28684934
title: VISTA (Vaginal Inference of Subspecies and Typing Algorithm)

description: Data and code to run the VISTA and the app. Unlike other parts of the body, a healthy vaginal microbiome is usually simple, with just a few types of bacteria—mostly <i>Lactobacillus</i> species. When the vaginal microbiome becomes more diverse and includes bacteria like <i>Gardnerella</i>, <i>Sneathia</i>, <i>Prevotella</i>, or <i>“Candidatus Lachnocurva vaginae”</i>, it’s considered less optimal and can increase the risk of reproductive and urinary health problems.<br>To describe these differences, scientists often use a system called <b>Community State Types (CSTs)</b>, which groups vaginal microbiomes based on the types and amounts of lactic acid–producing bacteria they contain. For example:CST I: mostly <i>Lactobacillus crispatus</i>CST II: mostly <i>Lactobacillus gasseri</i>CST III: mostly <i>Lactobacillus iners</i>CST IV: mostly diverse anaerobic bacteriaCST V: mostly <i>Lactobacillus jensenii</i>However, this system doesn’t capture the full complexity. Many strains and species in the vaginal microbiome go undetected with traditional methods. These hidden differences can be important for understanding how the microbiome affects health.To dig deeper, researchers look at the <b>genetic makeup</b> of the bacteria—specifically, the full set of genes found in each species. These genetic groupings are called <b>metagenomic subspecies (mgSs)</b>. When you combine all the mgSs in a sample, you get a <b>metagenomic Community State Type (mgCST)</b>, which gives a more detailed picture of how the microbiome might be influencing health.<br>This software package, VISTA (Vaginal Inference of Subspecies and Typing Algorithm), allows for classification of vaginal metagenomes to mgCSTs.