cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2mwsmyr9vw.1
title: FireRisk-Multi

description: This study integrates multi-source geospatial data to build a dynamic wildfire risk assessment framework. The datasets were systematically compiled and processed within Google Earth Engine (GEE) to ensure spatial and temporal consistency. The primary data sources include:

High-Resolution Aerial Imagery: The National Agriculture Imagery Program (NAIP) provides 10-meter RGB imagery for detailed land cover analysis. This dataset was fused with Wildfire Hazard Potential (WHP) data to establish a baseline risk assessment layer (NAIP-WHP).

Historical Fire Data: Near-real-time active fire detections from the FIRMS dataset (MODIS/VIIRS, 375m resolution) and burned area records from MODIS MCD64A1 (500m) were used for model validation and hotspot identification.

Topographic Data: Elevation and slope metrics were derived from the Shuttle Radar Topography Mission (SRTM) at 30-meter resolution to analyze terrain influences on fire spread.

Meteorological Data: ERA5 reanalysis data (1km resolution) provided temperature and precipitation records, critical for assessing weather-driven fire risks.

Vegetation Indices: MODIS NDVI/EVI (250m, 16-day intervals) quantified vegetation moisture and fuel availability.

Data Fusion Framework
The framework employs three progressive fusion levels:

Single-Modality Baseline (NAIP-WHP): Combines NAIP imagery with static WHP risk labels at 10m resolution.

Fixed-Weight Fusion (FIXED): Integrates terrain, weather, and vegetation data with predefined weights (e.g., WHP: 50%, other factors: 10% each).

Dynamic-Weight Fusion (FUSED): Adjusts feature contributions based on regional characteristics (e.g., amplifying slope weights in mountainous areas).
DOI: 10.15468/dl.ek5k27
title: Occurrence Download

description: A dataset containing 134261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-7.44944 37.35244,-7.40619 37.19756,-7.26561 37.15879,-7.04394 37.17603,-6.71955 37.04236,-6.48166 36.86955,-6.43778 36.52708,-6.23242 36.31835,-5.9298 36.04792,-5.33535 36.00422,-5.11919 36.16144,-5.06515 36.33577,-4.4599 36.48364,-3.9195 36.62255,-3.45475 36.6399,-2.69819 36.64857,-2.42798 36.6399,-2.12536 36.65724,-1.9092 36.83911,-1.75788 37.02054,-1.7795 37.21876,-2.03889 37.14987,-2.21182 37.02917,-2.49283 36.94284,-2.8495 36.94284,-3.28182 36.9342,-3.55202 36.9342,-3.95192 36.9342,-4.36263 36.91692,-4.66018 36.90828,-4.98442 36.70925,-5.20058 36.57917,-5.40594 36.44887,-5.51402 36.32706,-5.73018 36.31835,-5.95715 36.46626,-6.11927 36.67458,-6.30301 36.89963,-6.52998 37.15849,-6.77856 37.33916,-7.05957 37.33916,-7.29472 37.33087,-7.40863 37.34502,-7.43567 37.35375,-7.44944 37.35244))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 134261 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000609-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq6cna
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.77908 -12.35299,32.58704 -12.35299,32.58704 -10.55722,30.77908 -10.55722,30.77908 -12.35299))",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 169 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000621-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu8ksn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000623-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xgykswn3fv
title: QuillBot Smart Tools

description: The website offers a set of services that researchers need while writing their research papers or scientific articles. We will discuss them in detail. After accessing the tool’s website through the following link, you need to log in and create an account using your personal email address.
DOI: 10.17632/xgykswn3fv.1
title: QuillBot Smart Tools

description: The website offers a set of services that researchers need while writing their research papers or scientific articles. We will discuss them in detail. After accessing the tool’s website through the following link, you need to log in and create an account using your personal email address.
DOI: 10.17632/trwfmgjjr6
title: Image Dataset for Tipburn Disorder Detection in Strawberry Leaves

description: UPDATE: Images from the third class, old leaves, are now included in the dataset. 

The dataset contains images of strawberry leaves. There are 1600 images in the dataset. The dataset can be used for multi-class classification problems as there are leaves from three classes in the dataset:
1 - healthy leaves
2- leaves with calcium deficiency
3- old leaves
DOI: 10.17632/trwfmgjjr6.2
title: Image Dataset for Tipburn Disorder Detection in Strawberry Leaves

description: UPDATE: Images from the third class, old leaves, are now included in the dataset. 

The dataset contains images of strawberry leaves. There are 1600 images in the dataset. The dataset can be used for multi-class classification problems as there are leaves from three classes in the dataset:
1 - healthy leaves
2- leaves with calcium deficiency
3- old leaves
DOI: 10.17632/8fwwjpm79y.11
title: ShinyFMBN, a Shiny app to access FoodMicrobionet

description: This data set contains the ShinyFMBN app and the FoodMicrobionet database v5.1.1
The ShinyFMBN app allows you to access FoodMicrobionet 5, a repository of data on food microbiome studies including data for both bacteria and fungi. To run the app you need to install R and R Studio. Data are available in R (.rds) format. The FoodMicrobionet database and related scripts are available on GitHub (https://github.com/ep142/FoodMicrobionet)

This compressed folder contains folder shiny_FMBN_3_1: contains the app folder, the runShinyFMBN_3.R script (a R script to install all needed packages and run the app) and the app manual in .html format
DOI: 10.17632/nccxchf44s
title: Analysis of chemical constituents of Chaige Changyuan Mixture by UPLC-Q-Exactive Focus-MS/MS

description: Supplementary Table 1 Chemical composition identification of Chaige Changyuan mixture
DOI: 10.17632/nccxchf44s.1
title: Analysis of chemical constituents of Chaige Changyuan Mixture by UPLC-Q-Exactive Focus-MS/MS

description: Supplementary Table 1 Chemical composition identification of Chaige Changyuan mixture
DOI: 10.17632/wz9spjy4v5
title: User Story Ambiguity Dataset: A Comprehensive Research Resource

description: This dataset represents the largest empirical collection of user story ambiguities, encompassing 12,847 authentic user stories from eight companies spanning finance, healthcare, e-commerce, telecommunications, and manufacturing domains. The collection addresses a critical gap in requirements engineering research by providing systematically annotated real-world data for investigating ambiguity patterns in agile development environments.
The dataset reveals significant organisational variation, with ambiguity rates ranging from 15.3% to 67.8% across companies, reflecting genuine differences in agile maturity and domain complexity. Seven distinct ambiguity types were identified, with semantic ambiguities being most prevalent (34.2%), followed by scope (28.7%) and actor ambiguities (19.4%). This distribution provides crucial insights into the most common sources of requirements confusion in practice.
Structured across five interconnected sheets, the dataset includes comprehensive attributes covering team characteristics, project outcomes, and temporal progression data. Notably, the temporal analysis demonstrates a 23.4% average improvement in story quality over 12-month periods, providing empirical evidence of organisational learning effects in requirements practices.
The collection serves multiple research purposes, from training machine learning models for automated ambiguity detection to validating requirements engineering frameworks across different organisational contexts. Strong statistical foundations underpin the dataset, with robust correlations between team experience (r=-0.73) and domain complexity (r=0.52) with ambiguity rates, supported by high inter-rater reliability (α=0.77).
This resource enables researchers to conduct comparative studies, develop evidence-based tools, and advance our understanding of requirements quality in agile environments, making it an invaluable asset for the empirical software engineering community.
DOI: 10.17632/wz9spjy4v5.1
title: User Story Ambiguity Dataset: A Comprehensive Research Resource

description: This dataset represents the largest empirical collection of user story ambiguities, encompassing 12,847 authentic user stories from eight companies spanning finance, healthcare, e-commerce, telecommunications, and manufacturing domains. The collection addresses a critical gap in requirements engineering research by providing systematically annotated real-world data for investigating ambiguity patterns in agile development environments.
The dataset reveals significant organisational variation, with ambiguity rates ranging from 15.3% to 67.8% across companies, reflecting genuine differences in agile maturity and domain complexity. Seven distinct ambiguity types were identified, with semantic ambiguities being most prevalent (34.2%), followed by scope (28.7%) and actor ambiguities (19.4%). This distribution provides crucial insights into the most common sources of requirements confusion in practice.
Structured across five interconnected sheets, the dataset includes comprehensive attributes covering team characteristics, project outcomes, and temporal progression data. Notably, the temporal analysis demonstrates a 23.4% average improvement in story quality over 12-month periods, providing empirical evidence of organisational learning effects in requirements practices.
The collection serves multiple research purposes, from training machine learning models for automated ambiguity detection to validating requirements engineering frameworks across different organisational contexts. Strong statistical foundations underpin the dataset, with robust correlations between team experience (r=-0.73) and domain complexity (r=0.52) with ambiguity rates, supported by high inter-rater reliability (α=0.77).
This resource enables researchers to conduct comparative studies, develop evidence-based tools, and advance our understanding of requirements quality in agile environments, making it an invaluable asset for the empirical software engineering community.
DOI: 10.17028/rd.lboro.27927405
title: Data for: Perspectives on conservation grazing: the need for monitoring and communication

description: Data on the pattern of conservation grazing at Ainsdale Sand Dunes NNR from 1999 - 2022. Presents raw data transcribed from grazing diaries, plus conversion to livestock movements within the reserve and conversion into data on the intensity, duration, frequency and timing of grazing on the reseve.Ainsdale.grazing.updated is the raw data<br>StockingRaw is the R code to create grazing pattern sumamries from the raw data, and the figures used in the paper.<br>Livestock_summary_data contains the summary of the grazing pattern (duratin, intensity, frequency and season) for each enclosure in each year.
DOI: 10.17028/rd.lboro.27927405.v1
title: Data for: Perspectives on conservation grazing: the need for monitoring and communication

description: Data on the pattern of conservation grazing at Ainsdale Sand Dunes NNR from 1999 - 2022. Presents raw data transcribed from grazing diaries, plus conversion to livestock movements within the reserve and conversion into data on the intensity, duration, frequency and timing of grazing on the reseve.Ainsdale.grazing.updated is the raw data<br>StockingRaw is the R code to create grazing pattern sumamries from the raw data, and the figures used in the paper.<br>Livestock_summary_data contains the summary of the grazing pattern (duratin, intensity, frequency and season) for each enclosure in each year.
DOI: 10.17028/rd.lboro.27927405.v2
title: Data for: Perspectives on conservation grazing: the need for monitoring and communication

description: Data on the pattern of conservation grazing at Ainsdale Sand Dunes NNR from 1999 - 2022. Presents raw data transcribed from grazing diaries, plus conversion to livestock movements within the reserve and conversion into data on the intensity, duration, frequency and timing of grazing on the reseve.Ainsdale.grazing.updated is the raw data<br>StockingRaw is the R code to create grazing pattern sumamries from the raw data, and the figures used in the paper.<br>Livestock_summary_data contains the summary of the grazing pattern (duratin, intensity, frequency and season) for each enclosure in each year.
DOI: 10.17632/rfpjvd4w34
title: Groundwater depth and soil salinity

description: Measured and predicted groundwater depth and soil salinity; Long-term dynamics of soil salinity
DOI: 10.17632/rfpjvd4w34.1
title: Groundwater depth and soil salinity

description: Measured and predicted groundwater depth and soil salinity; Long-term dynamics of soil salinity
DOI: 10.17632/npvb6k52g6
title: Sample Cone Adaptor for Grinding

description: Adapter cone for a Foss CT 293 Cyclotec impeller abrasive ring grinder. This funnel is used for faster sample processing and replaces the proprietary glass jar provided with the machine.
DOI: 10.17632/npvb6k52g6.1
title: Sample Cone Adaptor for Grinding

description: Adapter cone for a Foss CT 293 Cyclotec impeller abrasive ring grinder. This funnel is used for faster sample processing and replaces the proprietary glass jar provided with the machine.
DOI: 10.17632/vzpb2x93z4
title: Gene expression profiling of human glioblastoma cells under culture with endothelial cell condition media using Affymetrix arrays

description: This study investigates the gene expression changes in human glioblastoma cells subjected to endothelial cell condition media.
DOI: 10.17632/vzpb2x93z4.1
title: Gene expression profiling of human glioblastoma cells under culture with endothelial cell condition media using Affymetrix arrays

description: This study investigates the gene expression changes in human glioblastoma cells subjected to endothelial cell condition media.
DOI: 10.17632/z8k4ngjgfm
title: Gene expression profiling of human glioblastoma cells WT and KO for JAM3

description: This dataset contains transcriptomic data from the comparison of wild-type (WT) and JAMC^-/- GSC1 clones, as presented in Figure 3 of the associated study. Four independent biological samples were analyzed using 3′ RNA sequencing to assess differential gene expression between these two conditions.
The experiment was conducted to explore the transcriptional changes associated with the knockout of the JAMC gene in glioblastoma stem-like cells.
DOI: 10.17632/z8k4ngjgfm.1
title: Gene expression profiling of human glioblastoma cells WT and KO for JAM3

description: This dataset contains transcriptomic data from the comparison of wild-type (WT) and JAMC^-/- GSC1 clones, as presented in Figure 3 of the associated study. Four independent biological samples were analyzed using 3′ RNA sequencing to assess differential gene expression between these two conditions.
The experiment was conducted to explore the transcriptional changes associated with the knockout of the JAMC gene in glioblastoma stem-like cells.
DOI: 10.17632/dfmzw4s2kr
title: The ELF3-BBX24/25-PIF4 module regulates thermosensory growth in Arabidopsis

description: In Arabidopsis, B-BOX domain-containing proteins, BBX24 and BBX25, play a key role in inhibiting photomorphogenesis. However, their role in temperature-mediated regulation of
growth remains unknown. Here, we show that BBX24/BBX25 are essential for warm temperature-mediated growth. Analysis of bbx24 bbx25 double mutants show strong insensitivity
to warm temperature-mediated hypocotyl growth, which is due to the reduced expression of growth-related genes. However, the overexpression lines show enhanced hypocotyl
growth. Warm temperature enhances the gene expression and protein stability of BBX24/25. Epistatic analysis suggests that BBX24 and BBX25 function in the same pathway as
PHYTOCHROME INTERACTING FACTOR 4 and are essential for PIF4-mediated thermomorphogenic growth. BBX24 and BBX25 promote PIF4 protein stability, probably through
physical interaction. Furthermore, EARLY FLOWERING 3, a key negative regulator of thermosensory growth, functions upstream and inhibits BBX24 and BBX25 gene expression,
depicting an indirect pathway of regulation of PIF4 activity by ELF3. Thus, our study uncovered a novel mechanism through which plants integrate temperature cues and promote
warm temperature-mediated growth.
DOI: 10.17632/dfmzw4s2kr.1
title: The ELF3-BBX24/25-PIF4 module regulates thermosensory growth in Arabidopsis

description: In Arabidopsis, B-BOX domain-containing proteins, BBX24 and BBX25, play a key role in inhibiting photomorphogenesis. However, their role in temperature-mediated regulation of
growth remains unknown. Here, we show that BBX24/BBX25 are essential for warm temperature-mediated growth. Analysis of bbx24 bbx25 double mutants show strong insensitivity
to warm temperature-mediated hypocotyl growth, which is due to the reduced expression of growth-related genes. However, the overexpression lines show enhanced hypocotyl
growth. Warm temperature enhances the gene expression and protein stability of BBX24/25. Epistatic analysis suggests that BBX24 and BBX25 function in the same pathway as
PHYTOCHROME INTERACTING FACTOR 4 and are essential for PIF4-mediated thermomorphogenic growth. BBX24 and BBX25 promote PIF4 protein stability, probably through
physical interaction. Furthermore, EARLY FLOWERING 3, a key negative regulator of thermosensory growth, functions upstream and inhibits BBX24 and BBX25 gene expression,
depicting an indirect pathway of regulation of PIF4 activity by ELF3. Thus, our study uncovered a novel mechanism through which plants integrate temperature cues and promote
warm temperature-mediated growth.
DOI: 10.25810/jck1-hf50.87
title: US Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - June 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 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: 10.34740/kaggle/dsv/12442036
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.37f72f
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryphonectria parasitica",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 121 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000624-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgmug3
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis glandulosa",
 "Year 1990-2024"
 ]
}

 The dataset's 3 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000618-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jky4ad
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia basilaris brachyclada"
 ]
}

 The dataset includes 675 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000627-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/c862-0e81.87
title: US Television Coverage of Climate Change or Global Warming, 2000-2025 - June 2025

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 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: 10.21227/04hq-wr84
title: "RNA Sensor Hybridization Data"

description: "This work demonstrates the detection of target single strand RNA in liquid samples using a microwave resonant sensor that integrates a gold interdigital capacitor with a bipolar junction transistor. The sensor utilizes a negative resistance circuit to compensate for the inherent losses of the interdigital capacitor, enabling the generation of a self-sustaining oscillation. The oscillation frequency is responsive to variations in capacitance, allowing detection of nucleic acid level reactions occuring at the goldsurface. A detailed design and optimization process is presented, addressing challenges including temperature-induced frequency drift and phase noise. By calibrating for temperature effects and tuning the transistor\u2019s bias voltage, improved resolution, sensitivity, and frequency stability can be achieved. The sensor\u2019s performance is demonstrated through label-free detection of RNA hybridization, using complementary oligomers immobilized on the gold surface. It achieves a detection limit of 1pM with 0.2 micro L of sample, where complementary and non-complementary target RNA sequences can be distinguished. The presented work offers a solution that balances simplicity, sensitivity, and cost-effectiveness."
DOI: 10.15468/dl.jx5vkh
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiostoma novo-ulmi",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000628-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfgpu2
title: Occurrence Download

description: A dataset containing 23256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chloephaga poliocephala)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 23256 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050243-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfhrp6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050244-250717081556266/datasets/export for details.