cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w29d8csr26
title: Access to Mentorship Among Medical Students Interested in Dermatology Supplemental

description: This dataset is old and includes in outdated information about the accompanying paper. Specifically, in regards to the response rate, version one says we were unable to find the response rate. However, after consulting with DIG leadership & using our survey metrics we were able to calculate our reach/response rate denominator.
DOI: 10.17632/w29d8csr26.3
title: Access to Mentorship Among Medical Students Interested in Dermatology Supplemental

description: This dataset is old and includes in outdated information about the accompanying paper. Specifically, in regards to the response rate, version one says we were unable to find the response rate. However, after consulting with DIG leadership & using our survey metrics we were able to calculate our reach/response rate denominator.
DOI: 10.17632/zhz7y99b3f.1
title: Dermatology Interested Medical Student Mentorship Paper

description: This is the supplemental data referenced in the paper: "Access to Mentorship Among Medical Students Interested in Dermatology."
DOI: 10.17632/dbrm5t8fr6
title: RISK ASSESSMENT IN GREEN BUILDINGS IN INDIA: EVALUATION OF RISK FACTORS AND MITIGATION STRATEGIES

description: The data was used to perform an assessment of risk factors in the sustainable construction industry of India. The risk factors identified in the Indian context through a literature review and survey conducted using the Delphi method with green building professionals were utilized to perform a risk assessment that evaluates the severity of risks. The assessment was done by obtaining the likelihood and impact of the identified risk factors. The results were used to rank the risk factors by their level of importance. The findings are evaluated against risk factors identified in different contexts to assess their contextual relevance. Further, the green building rating in India and the regulatory aspects are correlated with the risks and inferences drawn out of the correlation to establish the requisites to move towards green buildings.The data are results conducted from the survey used to arrive at the severity of risks by using the Relative Importance Index method, with the help of the probability and impact of the risk factors ranked by the green building industry stakeholders.
DOI: 10.17632/dbrm5t8fr6.1
title: RISK ASSESSMENT IN GREEN BUILDINGS IN INDIA: EVALUATION OF RISK FACTORS AND MITIGATION STRATEGIES

description: The data was used to perform an assessment of risk factors in the sustainable construction industry of India. The risk factors identified in the Indian context through a literature review and survey conducted using the Delphi method with green building professionals were utilized to perform a risk assessment that evaluates the severity of risks. The assessment was done by obtaining the likelihood and impact of the identified risk factors. The results were used to rank the risk factors by their level of importance. The findings are evaluated against risk factors identified in different contexts to assess their contextual relevance. Further, the green building rating in India and the regulatory aspects are correlated with the risks and inferences drawn out of the correlation to establish the requisites to move towards green buildings.The data are results conducted from the survey used to arrive at the severity of risks by using the Relative Importance Index method, with the help of the probability and impact of the risk factors ranked by the green building industry stakeholders.
DOI: 10.17632/9yncvwwccn
title: Fog Offloading using Game Theory

description: In this doctoral thesis, the fog/cloud discharge problem is solved using game theory.
DOI: 10.17632/9yncvwwccn.1
title: Fog Offloading using Game Theory

description: In this doctoral thesis, the fog/cloud discharge problem is solved using game theory.
DOI: 10.17632/5gvgnyhvwf
title: Resolving an Apparent Imbalance in Seawater Stable Strontium Isotopes and Implications for the History of the Marine Carbonate Factory

description: # Resolving an Apparent Imbalance in Seawater Stable Strontium Isotopes and Implications for the History of the Marine Carbonate Factory

This dataset contains stable strontium isotope measurements (δ88/86Sr) and associated geochemical parameters for modern marine carbonate samples. The experimental work was designed to better constrain the isotopic composition of the global carbonate strontium sink, which represents a critical output flux in the marine Sr cycle. To achieve this, we compiled and analyzed a large suite of modern carbonate sediments spanning diverse depositional environments, including both neritic and pelagic settings.

## File: Nadeau_et_al_Figure_Data.xlsx

**Description:** This Excel workbook contains all 1) the Sr-isotope spike composition, 2) the geochemical measurements and metadata used in the study, including stable and radiogenic Sr isotope ratios, Ca isotope ratios, elemental ratios, mineralogical estimates, and sample information for modern neritic and pelagic carbonate sediments, and data presented in each figure.
DOI: 10.17632/5gvgnyhvwf.1
title: Resolving an Apparent Imbalance in Seawater Stable Strontium Isotopes and Implications for the History of the Marine Carbonate Factory

description: # Resolving an Apparent Imbalance in Seawater Stable Strontium Isotopes and Implications for the History of the Marine Carbonate Factory

This dataset contains stable strontium isotope measurements (δ88/86Sr) and associated geochemical parameters for modern marine carbonate samples. The experimental work was designed to better constrain the isotopic composition of the global carbonate strontium sink, which represents a critical output flux in the marine Sr cycle. To achieve this, we compiled and analyzed a large suite of modern carbonate sediments spanning diverse depositional environments, including both neritic and pelagic settings.

## File: Nadeau_et_al_Figure_Data.xlsx

**Description:** This Excel workbook contains all 1) the Sr-isotope spike composition, 2) the geochemical measurements and metadata used in the study, including stable and radiogenic Sr isotope ratios, Ca isotope ratios, elemental ratios, mineralogical estimates, and sample information for modern neritic and pelagic carbonate sediments, and data presented in each figure.
DOI: 10.17632/mygrsk3vyb.1
title: LemonVarities: A comprehensive image dataset to classify rotten and multiple types fresh lemon

description: This dataset is prepared for publishing in Data in Brief in order to contribute to the AI and Agriculture research field. The dataset comprises 1956 original images in total 8 classes.
DOI: 10.17632/8tk7bj4h2g
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 7PHPS1
DOI: 10.17632/8tk7bj4h2g.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Interview Case 7PHPS1
DOI: 10.17632/zcygz6hrym
title: Hematite Peanuts IScience Data and Code

description: Data and code corresponding to the manuscript entitled "Light-Induced Selective Speed Alteration of Magnetically Rolled Semiconductor Particles".
DOI: 10.17632/zcygz6hrym.1
title: Hematite Peanuts IScience Data and Code

description: Data and code corresponding to the manuscript entitled "Light-Induced Selective Speed Alteration of Magnetically Rolled Semiconductor Particles".
DOI: 10.15468/dl.fvg9pk
title: Occurrence Download

description: A dataset containing 32724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mentha longifolia",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 32724 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031924-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/05fvse
title: Global 0.25-Degree Future Drought Layers (1980-2100) Based on Downscaled CMIP6 Models and SSP-RCP Combinations, Version 1

description: &lt;b&gt;The data for this project are stored on the &lt;a href="https://nese.mghpcc.org/about-nese/"&gt;Northeast Storage Exchange (NESE)&lt;/a&gt;&lt;/b&gt;. Follow the instructions for large data download found on our website:
&lt;a href="https://github.com/IQSS/dataverse.harvard.edu/blob/master/doc/globus/download-quickstart.md"&gt;Downloading data from NESE via Globus: Quick Start&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;

Droughts are a natural phenomenon with significant impact on society and the environment. Their frequency and severity are projected to increase toward the end of the century, which makes urgent the analysis of future drought characteristics to inform stakeholders and to allow the investigation of their effects on different domains. In this study, we developed Future Global Drought Layers composed of SPI and SPEI indices for 23 GCMs of the NEX-GDDP-CMIP6 dataset, including historical (1980-2014) data and 4 future projections (2015-2100) under four climate scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The drought indices were calculated for 3-, 6- and 12-month timescales. The data is gridded in a regular latitude-longitude format, with a spatial resolution of 0.25º (~25 km) and monthly time resolution.
description: <b>The data for this project are stored on the Northeast Storage Exchange (NESE)</b>. Follow the instructions for large data download found on our website:
Downloading data from NESE via Globus: Quick Start<br><br>
DOI: 10.17632/7ryrszb92m
title: Nutritional Life Cycle Assessment Questionnaire for Primary Data Collection (nLCA QPDC)

description: This multi-sheet Excel file contains the initial working draft of the Nutritional Life Cycle Assessment Questionnaire for Primary Data Collection (nLCA QPDC), a comprehensive methodological instrument developed as part of an ongoing research project focused on the ‘Holistic Sustainability Profiling of Foods, Meals, and Diets’ in low- and middle-income country contexts.
The QPDC’s primary objective is to move beyond conventional LCA boundaries by capturing inventory data for a full suite of supply chain parameters – including commonly neglected ones, such as specific causes of food loss, waste treatment / disposal methods, biodiversity practices, and consumer factors like plate waste and cooking energy – into a single, standardized primary data collection exercise. It is designed to gather context-specific (i.e., subnational), all-encompassing data for conducting full-scope nLCAs of pre-defined Commodity-Location-Production System combinations (i.e., Archetypes).
The questionnaire provides a sequential, full-chain framework organized into 10 detailed modules (preceded by an introductory section with user instructions), ensuring all necessary flows are covered: (1) General Information & Archetype Definition; (2) Primary Production; (3) Post-Harvest Handling & Processing; (4) Packaging; (5) Distribution & Transport; (6) Retail; (7) Home Preparation & Consumption; (8) Waste Management; (9) Data Representativeness & Quality; and (10) Additional Information & Resources.
The QPDC presents several key differentiating features which distinguish it from other LCA data collection tools:
• Full supply-chain granularity and reference flow tracking: The QPDC systematically captures inputs and outputs from the production unit through the consumer plate and waste management stages. Notably, it includes a detailed breakdown of food loss and waste causes across the entire life cycle.
• Holistic parameter compilation: The questionnaire incorporates inventory data for infrequently captured value chain parameters crucial for holistic impact assessments. Among others, these include: (i) context-specific biodiversity and conservation practices in primary production; (ii) detailed consumer factors, such as storage conditions, cooking energy, water use, plate waste, and eating habits / patterns; (iii) localized waste treatment methods and end-of-life routes for both food and packaging; and (iv) context-specific co-product economic value and broader socioeconomic characteristics.
• Geographic granularity and data quality: The QPDC facilitates collecting locally relevant data by allowing differentiation based on (a) production system typologies and intensity levels (i.e., low, medium, or high), and (b) subnational agroecological zones. Furthermore, the questionnaire includes mandatory fields for data quality metrics covering temporal, geographical, and technological representativeness, enabling LCA practitioners to conduct uncertainty and sensitivity analyses as needed.
DOI: 10.17632/7ryrszb92m.1
title: Nutritional Life Cycle Assessment Questionnaire for Primary Data Collection (nLCA QPDC)

description: This multi-sheet Excel file contains the initial working draft of the Nutritional Life Cycle Assessment Questionnaire for Primary Data Collection (nLCA QPDC), a comprehensive methodological instrument developed as part of an ongoing research project focused on the ‘Holistic Sustainability Profiling of Foods, Meals, and Diets’ in low- and middle-income country contexts.
The QPDC’s primary objective is to move beyond conventional LCA boundaries by capturing inventory data for a full suite of supply chain parameters – including commonly neglected ones, such as specific causes of food loss, waste treatment / disposal methods, biodiversity practices, and consumer factors like plate waste and cooking energy – into a single, standardized primary data collection exercise. It is designed to gather context-specific (i.e., subnational), all-encompassing data for conducting full-scope nLCAs of pre-defined Commodity-Location-Production System combinations (i.e., Archetypes).
The questionnaire provides a sequential, full-chain framework organized into 10 detailed modules (preceded by an introductory section with user instructions), ensuring all necessary flows are covered: (1) General Information & Archetype Definition; (2) Primary Production; (3) Post-Harvest Handling & Processing; (4) Packaging; (5) Distribution & Transport; (6) Retail; (7) Home Preparation & Consumption; (8) Waste Management; (9) Data Representativeness & Quality; and (10) Additional Information & Resources.
The QPDC presents several key differentiating features which distinguish it from other LCA data collection tools:
• Full supply-chain granularity and reference flow tracking: The QPDC systematically captures inputs and outputs from the production unit through the consumer plate and waste management stages. Notably, it includes a detailed breakdown of food loss and waste causes across the entire life cycle.
• Holistic parameter compilation: The questionnaire incorporates inventory data for infrequently captured value chain parameters crucial for holistic impact assessments. Among others, these include: (i) context-specific biodiversity and conservation practices in primary production; (ii) detailed consumer factors, such as storage conditions, cooking energy, water use, plate waste, and eating habits / patterns; (iii) localized waste treatment methods and end-of-life routes for both food and packaging; and (iv) context-specific co-product economic value and broader socioeconomic characteristics.
• Geographic granularity and data quality: The QPDC facilitates collecting locally relevant data by allowing differentiation based on (a) production system typologies and intensity levels (i.e., low, medium, or high), and (b) subnational agroecological zones. Furthermore, the questionnaire includes mandatory fields for data quality metrics covering temporal, geographical, and technological representativeness, enabling LCA practitioners to conduct uncertainty and sensitivity analyses as needed.
DOI: 10.17632/yccc76j326
title: Accounting for Seroreversion in Bayesian Seroprevalence Corrections

description: This repository contains a list of excluded and included seroprevalence studies that we assessed for potential inclusion, along with a risk of bias assessment with respect to response rate of the studies.
DOI: 10.17632/yccc76j326.1
title: Accounting for Seroreversion in Bayesian Seroprevalence Corrections

description: This repository contains a list of excluded and included seroprevalence studies that we assessed for potential inclusion, along with a risk of bias assessment with respect to response rate of the studies.
DOI: 10.15468/dl.4tg3cx
title: Occurrence Download

description: A dataset containing 349341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina"
 ]
}

 The dataset includes 349341 records from 829 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031869-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjycbw
title: Occurrence Download

description: A dataset containing 9340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sedum album",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 9340 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031926-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17604479
title: Powder hematite transformation induced by swift heavy ion irradiation with fluence threshold observation – MS data

description: Mössbauer data for 

Powder hematite transformation induced by swift heavy ion irradiation with fluence threshold observation
DOI: 10.5281/zenodo.17604478
title: Powder hematite transformation induced by swift heavy ion irradiation with fluence threshold observation – MS data

description: Mössbauer data for 

Powder hematite transformation induced by swift heavy ion irradiation with fluence threshold observation
DOI: 10.5281/zenodo.10520407
title: Hamilton College Weather Station

description: Weather data collected with a METER Environment Atmos-41.
DOI: 10.5281/zenodo.17604504
title: Hamilton College Weather Station

description: Weather data collected with a METER Environment Atmos-41.
DOI: 10.15468/dl.k6ynd2
title: Occurrence Download

description: A dataset containing 23596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia cracca",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year 1980-2025",
 {
 "or" : [
 "StateProvince is null",
 "StateProvince is Bayern"
 ]
 }
 ]
}

 The dataset includes 23596 records from 286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031928-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240276
title: HIFLD OPEN Flowline - Small Scale (HI, PR, VI, Pacific Territories)

description: The USGS National Hydrography Dataset (NHD) service from The National Map is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000 (or larger) scale and referred to as high resolution NHD, and the other based on 1:100,000 scale and referred to as medium resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. The NHD is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map download client allows free downloads of public domain NHD data in either Esri File Geodatabase or Shapefile formats. For additional information on the NHD, go to https://www.usgs.gov/national-hydrography/national-hydrography-dataset. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed January, 2024.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240276v2
title: HIFLD OPEN Flowline - Small Scale (HI, PR, VI, Pacific Territories)

description: The USGS National Hydrography Dataset (NHD) service from The National Map is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000 (or larger) scale and referred to as high resolution NHD, and the other based on 1:100,000 scale and referred to as medium resolution NHD. The NHD from The National Map supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. The NHD is commonly combined with other data themes, such as boundaries, elevation, structures, and transportation, to produce general reference base maps. The National Map download client allows free downloads of public domain NHD data in either Esri File Geodatabase or Shapefile formats. For additional information on the NHD, go to https://www.usgs.gov/national-hydrography/national-hydrography-dataset. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed January, 2024.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.