cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gnzu78
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holoptelea integrifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000078-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt868k
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.64723 33.74421,18.64723 33.74421,18.64723 48.25579,-17.64723 48.25579,-17.64723 33.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Porcellio expansus"
 ]
}

 The dataset includes 95 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000080-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfwuew
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megalamphodus eques"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16312540
title: Multi-Scale Data Assimilation in Turbulent Models

description: All the simulation data required to produce the plots presented in the corresponding paper. The folders contained in the zip file are named after the figures they correspond to and contain the data from which each figure can be created. The folder "fig 2" is empty because the corresponding figure in the paper was produced without simulated data.
DOI: 10.5281/zenodo.16312539
title: Multi-Scale Data Assimilation in Turbulent Models

description: All the simulation data required to produce the plots presented in the corresponding paper. The folders contained in the zip file are named after the figures they correspond to and contain the data from which each figure can be created. The folder "fig 2" is empty because the corresponding figure in the paper was produced without simulated data.
DOI: 10.6084/m9.figshare.30509831
title: <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b>

description: <b>Dataset Title:</b> <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b><b>Description:</b>This dataset provides annual maps of major crop distributions across the Xinjiang region of China from 2013 to 2024 at a spatial resolution of 30 m. The maps were generated exclusively using the Harmonized Landsat–Sentinel (HLS) L30 Version 2.0 surface reflectance product, which integrates observations from Landsat 8/9 and Sentinel-2 sensors into a consistent radiometric and geometric framework.The dataset includes major crop types in Xinjiang, such as cotton, maize, wheat, rice, and other agricultural land-use categories, which are organized into eight thematic classes. All crop distribution maps were produced using a unified classification framework implemented on the Google Earth Engine (GEE) cloud computing platform. The processing workflow integrates all available high-quality HLS observations, models crop phenological trajectories using harmonic analysis of NDVI and LSWI time series, and applies a Random Forest classifier to identify crop types at the pixel level.<br><b>File Naming and Data Explanation:</b>File naming format: `year.tif` (e.g., `2019.tif`)Raster values (1-8) and corresponding crop types:1. Spring Maize2. Summer Maize3. Rice4. Winter Wheat5. Spring Wheat6. Cotton7.Other economic crops8. Economic Forest<b>Data Specifications:</b><b>Spatial Coverage:</b> Xinjiang, China<b>Temporal Coverage: </b>2013-2024 (30m),<b>Spatial Resolution: </b>30 meters<b>Data Format: </b>GeoTIFF<b>Map Projection: </b>WGS84 (EPSG:4326)<b>Key Crops: </b>Cotton, Corn, Wheat, Rice, etc. (Full classification listed above).<br>
DOI: 10.6084/m9.figshare.30509831.v3
title: <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b>

description: <b>Dataset Title:</b> <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b><b>Description:</b>This dataset provides annual maps of major crop distributions across the Xinjiang region of China from 2013 to 2024 at a spatial resolution of 30 m. The maps were generated exclusively using the Harmonized Landsat–Sentinel (HLS) L30 Version 2.0 surface reflectance product, which integrates observations from Landsat 8/9 and Sentinel-2 sensors into a consistent radiometric and geometric framework.The dataset includes major crop types in Xinjiang, such as cotton, maize, wheat, rice, and other agricultural land-use categories, which are organized into eight thematic classes. All crop distribution maps were produced using a unified classification framework implemented on the Google Earth Engine (GEE) cloud computing platform. The processing workflow integrates all available high-quality HLS observations, models crop phenological trajectories using harmonic analysis of NDVI and LSWI time series, and applies a Random Forest classifier to identify crop types at the pixel level.<br><b>File Naming and Data Explanation:</b>File naming format: `year.tif` (e.g., `2019.tif`)Raster values (1-8) and corresponding crop types:1. Spring Maize2. Summer Maize3. Rice4. Winter Wheat5. Spring Wheat6. Cotton7.Other economic crops8. Economic Forest<b>Data Specifications:</b><b>Spatial Coverage:</b> Xinjiang, China<b>Temporal Coverage: </b>2013-2024 (30m),<b>Spatial Resolution: </b>30 meters<b>Data Format: </b>GeoTIFF<b>Map Projection: </b>WGS84 (EPSG:4326)<b>Key Crops: </b>Cotton, Corn, Wheat, Rice, etc. (Full classification listed above).<br>
DOI: 10.6084/m9.figshare.30509831.v4
title: <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b>

description: <b>Dataset Title:</b> <b>A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data</b><b>Description:</b>This dataset provides annual maps of major crop distributions across the Xinjiang region of China from 2013 to 2024 at a spatial resolution of 30 m. The maps were generated exclusively using the Harmonized Landsat–Sentinel (HLS) L30 Version 2.0 surface reflectance product, which integrates observations from Landsat 8/9 and Sentinel-2 sensors into a consistent radiometric and geometric framework.The dataset includes major crop types in Xinjiang, such as cotton, maize, wheat, rice, and other agricultural land-use categories, which are organized into eight thematic classes. All crop distribution maps were produced using a unified classification framework implemented on the Google Earth Engine (GEE) cloud computing platform. The processing workflow integrates all available high-quality HLS observations, models crop phenological trajectories using harmonic analysis of NDVI and LSWI time series, and applies a Random Forest classifier to identify crop types at the pixel level.<br><b>File Naming and Data Explanation:</b>File naming format: `year.tif` (e.g., `2019.tif`)Raster values (1-8) and corresponding crop types:1. Spring Maize2. Summer Maize3. Rice4. Winter Wheat5. Spring Wheat6. Cotton7.Other economic crops8. Economic Forest<b>Data Specifications:</b><b>Spatial Coverage:</b> Xinjiang, China<b>Temporal Coverage: </b>2013-2024 (30m),<b>Spatial Resolution: </b>30 meters<b>Data Format: </b>GeoTIFF<b>Map Projection: </b>WGS84 (EPSG:4326)<b>Key Crops: </b>Cotton, Corn, Wheat, Rice, etc. (Full classification listed above).<br>
DOI: 10.6084/m9.figshare.31189555
title: Dataset: Psychometric Validation of the Logical-Mathematical Intelligence Scale (LMIS) in Ecuadorian Secondary School Students

description: This dataset contains responses from 2,353 secondary school students (ages 13-18) collected for the psychometric validation of the Logical-Mathematical Intelligence Scale (LMIS) in Ecuador.
DOI: 10.6084/m9.figshare.31189555.v1
title: Dataset: Psychometric Validation of the Logical-Mathematical Intelligence Scale (LMIS) in Ecuadorian Secondary School Students

description: This dataset contains responses from 2,353 secondary school students (ages 13-18) collected for the psychometric validation of the Logical-Mathematical Intelligence Scale (LMIS) in Ecuador.
DOI: 10.15468/dl.8das26
title: Occurrence Download

description: A dataset containing 186879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2005",
 "Year is less than or equal to 2009"
 ]
}

 The dataset includes 186879 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000036-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18339881
title: Possible occurrence of the eastern black redstart (Phoenicurus ochruros phoenicuroides) in Belarus

description: This is version 2 (v2).Fixed formatting error in README.md: comparison table replaced with structured list for compatibility.All data files are identical to v1.Previous version: https://doi.org/10.5281/zenodo.XXXXXX

This record documents a male black redstart observed on 28 November 2022 in Borisov, Belarus (54.235625°N, 28.464344°E). The bird exhibited morphological traits consistent with the eastern subspecies Phoenicurus ochruros phoenicuroides, including pale orange-ochre breast, absence of black throat gorget, and wing formula (p6 shorter than p7). Hybrid origin or variation within nominate subspecies cannot be fully excluded. Full details, photographs, and analysis are provided in the attached README.md file.
DOI: 10.5281/zenodo.18415238
title: Possible occurrence of the eastern black redstart (Phoenicurus ochruros phoenicuroides) in Belarus

description: This is version 2 (v2).Fixed formatting error in README.md: comparison table replaced with structured list for compatibility.All data files are identical to v1.Previous version: https://doi.org/10.5281/zenodo.XXXXXX

This record documents a male black redstart observed on 28 November 2022 in Borisov, Belarus (54.235625°N, 28.464344°E). The bird exhibited morphological traits consistent with the eastern subspecies Phoenicurus ochruros phoenicuroides, including pale orange-ochre breast, absence of black throat gorget, and wing formula (p6 shorter than p7). Hybrid origin or variation within nominate subspecies cannot be fully excluded. Full details, photographs, and analysis are provided in the attached README.md file.
DOI: 10.15468/dl.98m7uv
title: Occurrence Download

description: A dataset containing 352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllostylon rhamnoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 352 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000081-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17510559
title: 17510560
DOI: 10.5281/zenodo.17510560
title: 17510560
DOI: 10.5281/zenodo.18259446
title: Integrating Generative AI Tools in Design Studio Education
DOI: 10.5281/zenodo.18259447
title: Integrating Generative AI Tools in Design Studio Education
DOI: 10.15468/dl.bpmxxw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-19.14723 31.74421,17.14723 31.74421,17.14723 46.25579,-19.14723 46.25579,-19.14723 31.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Porcellio bolivari"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6k9rr
title: Occurrence Download

description: A dataset listing the 1073 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.06862 47.8903,13.06793 47.89145,13.06745 47.89222,13.06548 47.89242,13.06225 47.88905,13.06068 47.88748,13.05849 47.88709,13.05946 47.88458,13.0631 47.88265,13.06729 47.88485,13.07 47.88742,13.07163 47.88987,13.07166 47.89049,13.06862 47.8903))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1073 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000060-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18413912
title: Cross-Species Splicing Variant Benchmark Datasets (Human, Rat, Pig, Chicken)

description: Benchmark datasets for evaluating splicing variant prediction models across four species in manuscript: Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models. Each dataset contains balanced positive (splice-altering) and negative (normal) variants with 8,192bp sequence windows as a default. 

Files included:



splicevardb_benchmark.tsv: 23,877 Human variants (SpliceVarDB, GRCh38)

ratgtex_benchmark.tsv: 28,120 Rat variants (RatGTEx, Rnor_6.0)

piggtex_benchmark.tsv: 26,358 Pig variants (PigGTEx, Sscrofa11.1)

chickengtex_benchmark.tsv: 25,000 Chicken variants (ChickenGTEx, GRCg6a)


Related GitHub repository for pre-processing: https://github.com/ByronSyun/DL-CrossSpeciesReview.git
DOI: 10.5281/zenodo.18413911
title: Cross-Species Splicing Variant Benchmark Datasets (Human, Rat, Pig, Chicken)

description: Benchmark datasets for evaluating splicing variant prediction models across four species in manuscript: Comprehensive review and assessment of multi-species splicing variant prediction: task-specific deep learning models and genomic foundation models. Each dataset contains balanced positive (splice-altering) and negative (normal) variants with 8,192bp sequence windows as a default. 

Files included:



splicevardb_benchmark.tsv: 23,877 Human variants (SpliceVarDB, GRCh38)

ratgtex_benchmark.tsv: 28,120 Rat variants (RatGTEx, Rnor_6.0)

piggtex_benchmark.tsv: 26,358 Pig variants (PigGTEx, Sscrofa11.1)

chickengtex_benchmark.tsv: 25,000 Chicken variants (ChickenGTEx, GRCg6a)


Related GitHub repository for pre-processing: https://github.com/ByronSyun/DL-CrossSpeciesReview.git
DOI: 10.6084/m9.figshare.30462554.v3
title: Emergence of in clinical high-risk clone sequence type 147 among carbapenem-resistant Klebsiella pneumoniae isolates in China: a multicentre retrospective study

description: CRKP
DOI: 10.15468/dl.f8pd3m
title: Occurrence Download

description: A dataset containing 1859 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllocnistis vitegenella"
 ]
}

 The dataset includes 1859 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000084-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415822
title: A portion of the data used for the Cycle-MS study.
DOI: 10.5281/zenodo.18415823
title: A portion of the data used for the Cycle-MS study.
DOI: 10.6084/m9.figshare.30462554.v4
title: Emergence of in clinical high-risk clone sequence type 147 among carbapenem–resistant Klebsiella pneumoniae isolates in China: a multicentre retrospective study

description: CRKP
DOI: 10.15468/dl.aa784h
title: Occurrence Download

description: A dataset containing 1303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulmus alata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1303 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000085-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/sro9fg
title: Ethnicity and Episodic Framing in the Wake of Hurricane Katrina

description: The Ethnicity and Episodic Framing in the Wake of Hurricane Katrina looks at the effects of photo images and race on attribution of responsibility for the consequences of Hurricane Katrina. Subjects drawn from a national representative sample, oversampling for African-Americans, were asked through web-based interviews who they thought was responsible for the disaster. The study looked at 3 major groups of variables; demographics, attribution of responsibility, and knowledge. The three groups eligible for attribution of responsibility were the Federal Government, local authorities in New Orleans, and New Orleans residents . Knowledge variables were gathered by asking respondents questions related to personal knowledge of Hurricane Katrina and the surrounding events. The study found that images affect attribution of blame, possibly acting an episodic framing mechanisms to reduce accountability.
description: Subject: Study Level Error Note, Notes: The study only included black and white respondents, excluding any other race or anyone who considered themselves to be bi-racial. The study took place in the summer of 2006, about 10 months after the storm. This means the events of Katrina may have still been salient to the subjects but were no longer a pressing issue for most or highly visible in the press. People at this point may have likely had some pre-set notion of what had happened and who was to blame. Finally, this survey excludes the portion of the United States population that cannot be reached by telephone, as well as 6% to 8% of the United States population that does not live within the WebTV Internet Service Provider network.;
DOI: 10.7910/dvn/zzo2gv
title: January 2018 - sick/healthy mouse thermal

description: January 2018 thermal tracking: Healthy vs Sick
description: Tracking using SimpleTrack/ImageJ. Settings: 
Detailed: Blob: 10 / Threshold: 3; 30/30/30
Rough: Blob: 20/ Threshold: 1.4; 30/30/30
DOI: 10.7910/dvn/6ckenx
title: Wearable inertial measurement and ECG sensors Dataset
title: SMOTION

description: This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data comprises body motion recordings for several volunteers of diverse profile while performing certain physical activities. Sensors placed on the subject's waist is used to measure the motion experienced by diverse body parts, namely, acceleration and rate of turn. Data is divided into five age and weight groups categories.
ECG data collection was collected using Android smartphone application, and data was saved in common separate vector (csv) file format. The ECG data acquired according to the Limb Lead I and limb Lead II configuration
DOI: 10.7910/dvn/hnfqsp
title: Replication Data for: When police pull back: Neighborhood-level effects of de-policing on violent and property crime

description: Data and replication files for "When police pull back: Neighborhood-level effects of de-policing on violent and property crime." 

For more information please see the ReadMe file.
DOI: 10.7910/dvn/mow7mh
title: Bibliometric data for urban microsimulation modeling

description: Citation network for papers dealing with urban microsimulation
DOI: 10.7910/dvn/vm0gi9
title: Replication Data for: Modeling the formation of Menrva impact crater on Titan: Implications for habitability

description: The iSALE simulation input files and compressed model outputs for "Modeling the formation of Menrva impact crater on Titan: Implications for habitability" by 
DOI: 10.1016/j.icarus.2021.114679
DOI: 10.7910/dvn/xnkpp6
title: Replication Data for: Credible Commitments? Explaining IGO Suspensions to Sanction Political Backsliding

description: Why do intergovernmental organizations (IGOs) that espouse democratic commitments suspend the membership of some states that backslide on those commitments, while leaving that of others intact? We argue that a combination of geopolitical factors and institutional rules help explain this inconsistent pattern. Remaining member states insulate geopolitically important states—particularly those with large endowments of oil resources—from suspension. Institutional factors, such as voting rules and the size of the IGO, create veto points that reduce suspensions. Using an original global data set of IGO suspensions and charter commitments from 1980 to 2010, we find strong support for our argument. We test a key assumption of existing scholarship that claims IGOs serve as credible-commitment devices for political reform and democratization. We show that once a state becomes an IGO member, it can often remain in the IGO even after violating its democratic commitments.
DOI: 10.7910/dvn/dw2iut
title: An intensive multilocation temporal dataset of fungal communities in the root and rhizosphere of Brassica napus

description: This is a dataset of the diversity and temporal composition of fungal communities in the root endosphere and rhizosphere of diverse Brassica napus lines grown in different environments in the Canadian prairie. The dataset is used to demonstrate how the root and rhizosphere fungal communities of B. napus are shaped by plant genotype, temporal changes and environment, in order to adapt effective varieties for sustainable and stable crop production systems.
DOI: 10.7910/dvn/m5pvrp
title: Replication Data for: Educating for inclusion: Diversity education programs can reduce prejudice towards outgroups in Israel

description: Intergroup prejudice is pervasive in many contexts worldwide, leading to discrimination and conflict. Existing research suggests that prejudice is acquired at an early age and that durably improving intergroup relations is extremely challenging, often requiring intense theoretically informed interventions. Building on existing research in social psychology and inspired by the Israeli TV series "You Can't Ask That," which depicts charismatic children from minority groups broaching sensitive topics at the core of intergroup relations, we develop a monthlong diversity education program. Our program exposed students to the TV series and facilitated follow-up classroom discussions in which students constructively addressed various sensitive topics at the core of intergroup relations and learned about intergroup similarities, intragroup heterogeneity, and the value of taking others' perspectives. Through two field experiments implemented in Israeli schools, we show that integrating our intervention into school curricula improved Jewish students' attitudes towards minorities and increased some pro-diversity behavior up to 13 weeks post-treatment. We further provide suggestive evidence that the intervention was effective by encouraging students to take their outgroups' perspectives and address an element of scalability by delegating implementation responsibilities to classroom teachers in our second study. Our findings suggest that theoretically informed intensive education programs are a promising route to reducing prejudice at a young age.
DOI: 10.7910/dvn/srilpi
title: THE CALIFORNIA POLL 93-03