cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29733005
title: CGMacros: a pilot scientific dataset for personalized nutrition and diet monitoring

description: We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurements and health parameters from blood analyses and gut microbiome profiles. CGMacros contains data from 45 study participants (15 healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who consumed meals with varying and known macronutrient compositions in a free-living setting for ten consecutive days. To our knowledge, this is the first database of its kind to be made publicly available. CGMacros, and larger publicly available datasets that we hope may follow, are essential to democratize academic research in personalized nutrition and algorithmic approaches to automated diet monitoring.
DOI: 10.6084/m9.figshare.29733005.v1
title: CGMacros: a pilot scientific dataset for personalized nutrition and diet monitoring

description: We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurements and health parameters from blood analyses and gut microbiome profiles. CGMacros contains data from 45 study participants (15 healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who consumed meals with varying and known macronutrient compositions in a free-living setting for ten consecutive days. To our knowledge, this is the first database of its kind to be made publicly available. CGMacros, and larger publicly available datasets that we hope may follow, are essential to democratize academic research in personalized nutrition and algorithmic approaches to automated diet monitoring.
DOI: 10.6084/m9.figshare.29149364
title: Secondary Grain Boundary Dislocations Alter Segregation Energy Spectra

description: Source data for "Secondary Grain Boundary Dislocations Alter Segregation Energy Spectra"

Fig. 3e: W profile "Source_Data.xlsx"
Fig. 3i: W profile "Source_Data.xlsx"
Fig. 4a: Integral profiles across GB1 "Source_Data.xlsx"
Fig. 4d: Correlation between the misorientation and segregation energy "Source_Data.xlsx"
Fig. 4e: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 4f: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 4g: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 5a: Segregation energy profile "Source_Data.xlsx"
Fig. 5a: Segregation energy profile "Source_Data.xlsx"
DOI: 10.6084/m9.figshare.29149364.v1
title: Secondary Grain Boundary Dislocations Alter Segregation Energy Spectra

description: Source data for "Secondary Grain Boundary Dislocations Alter Segregation Energy Spectra"

Fig. 3e: W profile "Source_Data.xlsx"
Fig. 3i: W profile "Source_Data.xlsx"
Fig. 4a: Integral profiles across GB1 "Source_Data.xlsx"
Fig. 4d: Correlation between the misorientation and segregation energy "Source_Data.xlsx"
Fig. 4e: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 4f: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 4g: Experimental GB segregation energy spectra "Source_Data.xlsx"
Fig. 5a: Segregation energy profile "Source_Data.xlsx"
Fig. 5a: Segregation energy profile "Source_Data.xlsx"
DOI: 10.6084/m9.figshare.27203688
title: The FOod Commodity composition for Waste qUantification and valorization opportunitieS (FOWCUS) Dataset

description: This dataset compiles the mass composition of about 280 food commodities, categorized into various groups including vegetables, fruits, nuts, eggs, livestock, seafood, cereals, sugar, vegetable oils, stimulants, pulses, and root vegetables. This dataset quantitatively captures the mass share of components forming each food commodity (post-harvest, as it enters the farm-gate) and classify them as avoidable, potentially avoidable, or unavoidable food waste. This classification enables researchers to understand waste patterns across the food supply and identify potential revalorization opportunities for unavoidable food waste via, for instance, feedstocks for bio-chemical, bio-material, and bio-energy applications. It also supports the quantification of food waste generation across the food supply chain, crucial for food waste studies and the monitoring of food waste reduction targets at the national and international levels. This dataset is indexed according to FAOSTAT commodity typology, using CPC code, and therefore can directly be integrated with FAOSTAT production databases to quantify the total mass of these avoidable, potentially avoidable, and unavoidable food waste streams at national and regional levels. This dataset should serve as a valuable resource for researchers and policymakers in managing food waste and valorizing by-products.
DOI: 10.6084/m9.figshare.27203688.v1
title: The FOod Commodity composition for Waste qUantification and valorization opportunitieS (FOWCUS) Dataset

description: This dataset compiles the mass composition of about 280 food commodities, categorized into various groups including vegetables, fruits, nuts, eggs, livestock, seafood, cereals, sugar, vegetable oils, stimulants, pulses, and root vegetables. This dataset quantitatively captures the mass share of components forming each food commodity (post-harvest, as it enters the farm-gate) and classify them as avoidable, potentially avoidable, or unavoidable food waste. This classification enables researchers to understand waste patterns across the food supply and identify potential revalorization opportunities for unavoidable food waste via, for instance, feedstocks for bio-chemical, bio-material, and bio-energy applications. It also supports the quantification of food waste generation across the food supply chain, crucial for food waste studies and the monitoring of food waste reduction targets at the national and international levels. This dataset is indexed according to FAOSTAT commodity typology, using CPC code, and therefore can directly be integrated with FAOSTAT production databases to quantify the total mass of these avoidable, potentially avoidable, and unavoidable food waste streams at national and regional levels. This dataset should serve as a valuable resource for researchers and policymakers in managing food waste and valorizing by-products.
DOI: 10.15468/dl.5rztvn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus japonicus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018450-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eekbxw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria nuda",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018451-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15049593
title: Global Kilometer-level Spatiotemporal Continuous Surface Soil Moisture Dataset (1980-1985)

description: Document Title: Global 1km Surface Soil Moisture Dataset (1980-2023) DocumentationVersion: 1.0Date: March 1, 2025

Dataset Overview

This dataset is a global 1km surface soil moisture product independently developed by the research team led by Prof. Zhaoliang Li and Prof. Pei Leng at the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences. The original data source is the ESA-CCI active-passive fused soil moisture product. The dataset integrates multi-source reanalysis and assimilation data to reduce uncertainties and fill missing values in the original ESA-CCI product. Key methodologies include:

(1) Triple Collocation Analysis (TCA) for fusing ERA5, GLEAM, and GLDAS soil moisture data.

(2) Downscaling from 25 km to 1 km resolution using subgrid variability modeling with SoilGrids high-resolution soil texture data and the Van Genuchten-Mualem model.

(3) Validation via ground observations from the International Soil Moisture Network (ISMN), achieving an unbiased root mean square error (ubRMSE) of 0.051 m³/m³.

Dataset Specifications

· Name: Global Kilometer-Level Spatiotemporally Continuous Surface Soil Moisture Dataset (1980–2023)

· Format: NetCDF

· Coordinate System: WGS84 Geographic Coordinate System

· Temporal Coverage: January 1, 1980 – December 31, 2023

· Spatiotemporal Resolution: 1km/10-day (Please be advised that due to limitations regarding data upload capacity, users requiring daily data are kindly requested to contact us: lengpei@caas.cn)

· Data Source: ESA-CCI Soil Moisture Product

Data Organization

· File Naming Convention: yyyymm_xxxx.nc (e.g., 198001_early.nc represents Early January 1980).

· Units: Volumetric soil moisture content (m³/m³).

· Storage Details:

o Data is stored as int16 to optimize space.

o To obtain actual values, multiply stored data by 0.001 (e.g., a pixel value of 327 corresponds to 0.327 m³/m³).
DOI: 10.5281/zenodo.15049594
title: Global Kilometer-level Spatiotemporal Continuous Surface Soil Moisture Dataset (1980-1985)

description: Document Title: Global 1km Surface Soil Moisture Dataset (1980-2023) DocumentationVersion: 1.0Date: March 1, 2025

Dataset Overview

This dataset is a global 1km surface soil moisture product independently developed by the research team led by Prof. Zhaoliang Li and Prof. Pei Leng at the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences. The original data source is the ESA-CCI active-passive fused soil moisture product. The dataset integrates multi-source reanalysis and assimilation data to reduce uncertainties and fill missing values in the original ESA-CCI product. Key methodologies include:

(1) Triple Collocation Analysis (TCA) for fusing ERA5, GLEAM, and GLDAS soil moisture data.

(2) Downscaling from 25 km to 1 km resolution using subgrid variability modeling with SoilGrids high-resolution soil texture data and the Van Genuchten-Mualem model.

(3) Validation via ground observations from the International Soil Moisture Network (ISMN), achieving an unbiased root mean square error (ubRMSE) of 0.051 m³/m³.

Dataset Specifications

· Name: Global Kilometer-Level Spatiotemporally Continuous Surface Soil Moisture Dataset (1980–2023)

· Format: NetCDF

· Coordinate System: WGS84 Geographic Coordinate System

· Temporal Coverage: January 1, 1980 – December 31, 2023

· Spatiotemporal Resolution: 1km/10-day (Please be advised that due to limitations regarding data upload capacity, users requiring daily data are kindly requested to contact us: lengpei@caas.cn)

· Data Source: ESA-CCI Soil Moisture Product

Data Organization

· File Naming Convention: yyyymm_xxxx.nc (e.g., 198001_early.nc represents Early January 1980).

· Units: Volumetric soil moisture content (m³/m³).

· Storage Details:

o Data is stored as int16 to optimize space.

o To obtain actual values, multiply stored data by 0.001 (e.g., a pixel value of 327 corresponds to 0.327 m³/m³).
DOI: 10.6084/m9.figshare.28658735
title: Main text figure data

description: figure data for "Itinerant and topological excitations in a honeycomb spiral spin liquid candidate"
DOI: 10.6084/m9.figshare.28658735.v1
title: Main text figure data

description: figure data for "Itinerant and topological excitations in a honeycomb spiral spin liquid candidate"
DOI: 10.15468/dl.7jjkd5
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria nuda",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018453-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79mdqc
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria nuda",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018452-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z25zzx
title: Occurrence Download

description: A dataset containing 14009 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulmus crassifolia"
 ]
}

 The dataset includes 14009 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018454-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnx3gq
title: Occurrence Download

description: A dataset containing 5519531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 2012"
 ]
}

 The dataset includes 5519531 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018385-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nm4h2g
title: Occurrence Download

description: A dataset containing 3832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.78709 -28.82695,29.78732 -28.82718,29.78889 -28.82795,29.80477 -28.83278,29.80565 -28.8329,29.80572 -28.83294,29.80585 -28.83298,29.80755 -28.83327,29.80926 -28.83304,29.81079 -28.83233,29.81196 -28.83121,29.81264 -28.82981,29.81753 -28.81172,29.81766 -28.81057,29.8176 -28.80815,29.81732 -28.80679,29.81722 -28.80662,29.8131 -28.79098,29.81251 -28.7897,29.81152 -28.78863,29.81021 -28.78788,29.8087 -28.78752,29.80714 -28.78757,29.80258 -28.78834,29.7747 -28.77847,29.77307 -28.77815,29.77141 -28.77831,29.7699 -28.77893,29.7687 -28.77994,29.76793 -28.78125,29.76376 -28.79243,29.76351 -28.79375,29.76371 -28.79508,29.76434 -28.7963,29.76535 -28.7973,29.76664 -28.798,29.77763 -28.80207,29.7796 -28.80662,29.77593 -28.80909,29.77528 -28.80961,29.76975 -28.81487,29.76882 -28.81611,29.7684 -28.81754,29.76853 -28.81902,29.7692 -28.82038,29.77033 -28.82147,29.7718 -28.82219,29.78709 -28.82695))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3832 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018455-250920141307145/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.29848880
title: Genome annotation of Maccullochella peelii peelii

description: Genome annotation of Maccullochella peelii peelii
DOI: 10.6084/m9.figshare.29848880.v1
title: Genome annotation of Maccullochella peelii peelii

description: Genome annotation of Maccullochella peelii peelii
DOI: 10.6084/m9.figshare.29848880.v2
title: Genome annotation of Maccullochella peelii peelii

description: Genome annotation of Maccullochella peelii peelii
DOI: 10.26300/j4ra-xe88
title: Model Codes for Constraints on Noble Gas Variability in OIB and MORB from Non-Equilibrium Magmatic Degassing Models
DOI: 10.7488/ds/7991
title: Videos of eMouseAtlas Models: Theiler Stage 12 (7.5-8.75 dpc)

description: A number of videos for each of the eMouseAtlas 3D mouse embryo models to show the overall form and in some cases selected anatomy. Each video is identified by the unique EMA ID with annotation if required. The videos labelled as "watermovies" are captured using the OPT system with the embryo spun on a longitudinal axis with no tissue clearing.
DOI: 10.15468/dl.amcpvd
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus monodon",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018456-250920141307145/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.30217171
title: An Open Data Contribution on Nudibranchs from the South-East Pelion Coastline

description: This dataset represents an open data contribution on nudibranchs recorded along the coastline of South-East Pelion, Greece, covering the period from 2018 to 2025. Observations were collected through a combination of in-situ surveys, opportunistic sightings, and photographic records, with a focus on documenting occurrence and distribution patterns of these diverse and ecologically significant marine gastropods.The dataset includes species-level identifications where possible, along with associated metadata such as date, location, and more observation details. It aims to provide a baseline reference for the presence of nudibranch species in the region, supporting future research on biodiversity, ecology, and conservation in the Aegean Sea.By making these records openly available, this contribution seeks to encourage the use of the data by researchers, conservationists, educators, and citizen scientists, as well as to raise awareness of the hidden diversity of nudibranchs in the Mediterranean.
DOI: 10.6084/m9.figshare.30217171.v1
title: An Open Data Contribution on Nudibranchs from the South-East Pelion Coastline

description: This dataset represents an open data contribution on nudibranchs recorded along the coastline of South-East Pelion, Greece, covering the period from 2018 to 2025. Observations were collected through a combination of in-situ surveys, opportunistic sightings, and photographic records, with a focus on documenting occurrence and distribution patterns of these diverse and ecologically significant marine gastropods.The dataset includes species-level identifications where possible, along with associated metadata such as date, location, and more observation details. It aims to provide a baseline reference for the presence of nudibranch species in the region, supporting future research on biodiversity, ecology, and conservation in the Aegean Sea.By making these records openly available, this contribution seeks to encourage the use of the data by researchers, conservationists, educators, and citizen scientists, as well as to raise awareness of the hidden diversity of nudibranchs in the Mediterranean.
DOI: 10.15468/dl.d3jwdw
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penaeus penicillatus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018457-250920141307145/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.29631713.v1
title: dataset.zip

description: We created a high-resolution infrared dataset. The dataset includes 10 infrared scenes, each containing about 100 images, and the infrared image resolution is 1024×768.
DOI: 10.15468/dl.v5y7jp
title: Occurrence Download

description: A dataset containing 24824090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passer domesticus)",
 "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 24824090 records from 4660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018417-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5684/soep.v36-rv.rtbn2018.v2.0
title: SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records

description: All SOEP respondents in 2018 who give explicit consent to record linkage.
DOI: 10.15468/dl.z89swj
title: Occurrence Download

description: A dataset containing 434021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1995-2025"
 ]
}

 The dataset includes 434021 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007980-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.22574.43847
title: Original DE-homepage files as previously hosted by ICSI
DOI: 10.13140/rg.2.2.20706.66243
title: Tranzschelia thalictri, teliospores
DOI: 10.13140/rg.2.2.10247.11686
title: JURNAL MAJELIS Media Aspirasi Konstitusi
DOI: 10.13140/rg.2.2.30851.63523
title: 074 Valderrama Br T2 Active Channel Widths
DOI: 10.13140/rg.2.2.11557.83682
title: 071 Sta Maria Centennial Br T4 Active Channel Widths
DOI: 10.13140/rg.2.2.35884.80000
title: 072 Sulipan Br 1 T1 Active Channel Widths
DOI: 10.15468/dl.fx23nv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 0,-22.5 0,-22.5 7.5,-30 7.5,-30 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041591-251009101135966/datasets/export for details.
DOI: 10.6084/m9.figshare.30946352
title: PIAAC Microdata for Labor Market Mismatch

description: We examine the incidence and labor market consequences of education, skill, and field-of-study mismatches in Türkiye, using nationally representative data from the Programme for the International Assessment of Adult Competencies (PIAAC).
DOI: 10.6084/m9.figshare.30946352.v1
title: PIAAC Microdata for Labor Market Mismatch

description: We examine the incidence and labor market consequences of education, skill, and field-of-study mismatches in Türkiye, using nationally representative data from the Programme for the International Assessment of Adult Competencies (PIAAC).