cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yqc2rj
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.78687 31.09131,102.51343 23.55469,102.68921 20.12695,105.52368 19.46777,108.11646 20.12695,112.51099 22.87354,114.29077 24.43359,111.12671 28.38867,107.78687 31.09131))",
 "TaxonKey is Tirpitzia Hallier f."
 ]
}

 The dataset includes 166 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235754-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67jqtt
title: Occurrence Download

description: A dataset containing 2233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thripadectes ignobilis (P.L.Sclater & Salvin, 1879)"
 ]
}

 The dataset includes 2233 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280363-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ii5pco
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sternochetus mangiferae (J.C.Fabricius, 1775)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010692-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816728/2368179
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.pgd69r
title: Occurrence Download

description: A dataset containing 2985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus buccinator Richardson, 1831",
 "Year 2011-2018"
 ]
}

 The dataset includes 2985 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242091-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbuwju
title: Occurrence Download

description: A dataset listing the 15772 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.46_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 15772 records were derived from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0274243-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhfung
title: Occurrence Download

description: A dataset containing 6625 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreochromis mossambicus (Peters, 1852)"
 ]
}

 The dataset includes 6625 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196766-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2817369/2368180
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.wjnfkb
title: Occurrence Download

description: A dataset containing 6722733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Diptera",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6722733 records from 1473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010693-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj5na5
title: Occurrence Download

description: A dataset containing 49691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia faba",
 "Year 1975-2024"
 ]
}

 The dataset includes 49691 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007874-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg64xq
title: Occurrence Download

description: A dataset containing 669391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chamaenerion angustifolium"
 ]
}

 The dataset includes 669391 records from 1116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008154-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15004179
title: Improved 30-m Impervious Surface Data for China, 2020 and 2022, with Enhanced Spatial Detail through fusing 2-m and 30-m resolution data

description: We present the China Impervious Surface Cover dataset for 2020 and 2022 (CISC2020, CISC2022) at 30-meter spatial resolution. The dataset covers mainland China and adjacent regions where input 2-meter satellite imagery was available. Generation involved a regionally adaptive deep learning strategy integrating high-resolution (2m) imagery, Landsat annual composites, and SRTM elevation data. High-quality training and validation samples were produced using entropy-guided stratified sampling and subsequent expert visual interpretation. The dataset is provided as Cloud Optimized GeoTIFFs (COG) using an Albers projection. Accuracy assessment using independent, expert-interpreted validation points confirms high overall accuracy (Spatially Averaged F1-score > 0.93 for the impervious surface class). This dataset offers reliable, spatially explicit impervious surface information for China, suitable for applications including urban dynamics analysis, environmental monitoring, and regional planning.

The impervious surface products are named cisc_2020.tif and cisc_2022.tif. In addition to impervious surfaces, the model's outputs for the other three classes (water bodies, vegetation, and bare land/other) are provided for user reference. However, the reliability of these auxiliary classes is not guaranteed. Pixel values represent the following classes: 0 = bare land/other), 1 = impervious surface, 2 = vegetation, and 3 = water body.

The impervious surface products cover the mainland area of China. Areas outside of China, or areas within China lacking sufficient 2-meter imagery coverage, are regarded as invalid pixels and assigned value 0. To maximize information content, the data were not clipped to coastlines or administrative boundaries. We also provide masks indicating the valid data extent for each year (2020 and 2022). These files are named valid_mask_2020.tif and valid_mask_2022.tif.

To facilitate better use of the product, we also provide a shapefile indicating the acquisition date of the 2m source data used for each location (see source_date_dissovle.zip)
DOI: 10.5281/zenodo.15004180
title: Improved 30-m Impervious Surface Data for China, 2020 and 2022, with Enhanced Spatial Detail through fusing 2-m and 30-m resolution data

description: We present the China Impervious Surface Cover dataset for 2020 and 2022 (CISC2020, CISC2022) at 30-meter spatial resolution. The dataset covers mainland China and adjacent regions where input 2-meter satellite imagery was available. Generation involved a regionally adaptive deep learning strategy integrating high-resolution (2m) imagery, Landsat annual composites, and SRTM elevation data. High-quality training and validation samples were produced using entropy-guided stratified sampling and subsequent expert visual interpretation. The dataset is provided as Cloud Optimized GeoTIFFs (COG) using an Albers projection. Accuracy assessment using independent, expert-interpreted validation points confirms high overall accuracy (Spatially Averaged F1-score > 0.93 for the impervious surface class). This dataset offers reliable, spatially explicit impervious surface information for China, suitable for applications including urban dynamics analysis, environmental monitoring, and regional planning.

The impervious surface products are named cisc_2020.tif and cisc_2022.tif. In addition to impervious surfaces, the model's outputs for the other three classes (water bodies, vegetation, and bare land/other) are provided for user reference. However, the reliability of these auxiliary classes is not guaranteed. Pixel values represent the following classes: 0 = bare land/other), 1 = impervious surface, 2 = vegetation, and 3 = water body.

The impervious surface products cover the mainland area of China. Areas outside of China, or areas within China lacking sufficient 2-meter imagery coverage, are regarded as invalid pixels and assigned value 0. To maximize information content, the data were not clipped to coastlines or administrative boundaries. We also provide masks indicating the valid data extent for each year (2020 and 2022). These files are named valid_mask_2020.tif and valid_mask_2022.tif.

To facilitate better use of the product, we also provide a shapefile indicating the acquisition date of the 2m source data used for each location (see source_date_dissovle.zip)
DOI: 10.57702/oflrezk1
title: Jailbreak Prompts and Malicious Queries

description: The dataset comprises 448 in-the-wild jailbreak prompts and 161 malicious queries, with which the authors derived a systemization of five categories and ten unique jailbreak patterns.
DOI: 10.57702/lndumcxm
title: Multi-view Multi-class Dataset

description: The multi-view multi-class dataset contains 23 minutes and 57 seconds of synchronized frames taken at 25fps from 6 different calibrated DV cameras.
DOI: 10.15468/dl.7swxye
title: Occurrence Download

description: A dataset containing 88267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Amazona aestiva"
 ]
}

 The dataset includes 88267 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080106-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4p4sp4f3
title: Anatomy-Aware Cardiac Motion Estimation

description: Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no special scanning procedure.
DOI: 10.57702/3e8c3rjf
title: Store Sales Competition Dataset

description: Store Sales competition dataset contains 1729 time series of 1684 steps clustering daily sales of thousands of products sold by different stores in the main cities of Ecuador over 5 years
DOI: 10.57702/9mo6eh2v
title: Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks

description: The dataset used in the paper is a mixture of multiple Gaussian distributions, where each distribution corresponds to a separate sub-network in a brain network.
DOI: 10.15468/dl.u25dth
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.773521 24.021251, 88.696642 24.015674, 88.621675 23.999082, 88.550484 23.971887, 88.484835 23.934766, 88.426354 23.88864, 88.37648299999999 23.834654, 88.33644700000001 23.774145, 88.30722299999999 23.708612, 88.28951600000001 23.639675, 88.283745 23.569033, 88.29003400000001 23.498429, 88.308207 23.429599, 88.337802 23.364234, 88.378075 23.303937, 88.428028 23.250186, 88.48642700000001 23.204294, 88.551838 23.167384, 88.622659 23.140357, 88.697159 23.123873, 88.773521 23.118333, 88.84988300000001 23.123873, 88.92438300000001 23.140357, 88.995204 23.167384, 89.060615 23.204294, 89.11901400000001 23.250186, 89.16896699999999 23.303937, 89.20923999999999 23.364234, 89.23883499999999 23.429599, 89.257008 23.498429, 89.26329699999999 23.569033, 89.257526 23.639675, 89.239819 23.708612, 89.210595 23.774145, 89.170559 23.834654, 89.120688 23.88864, 89.062207 23.934766, 88.99655799999999 23.971887, 88.92536699999999 23.999082, 88.85039999999999 24.015674, 88.773521 24.021251))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080156-251120083545085/datasets/export for details.
DOI: 10.57702/yobif9bg
title: Gradient-based learning applied to document recognition

description: Gradient-based learning applied to document recognition.
DOI: 10.57702/pgd1ig19
title: ScanNet20 and ScanNet200

description: The dataset used in the paper is ScanNet20, a subset of the ScanNet dataset, and ScanNet200, another subset of the ScanNet dataset.
DOI: 10.57702/rfemuegv
title: Multi-XScience

description: The dataset used in the paper is a collection of summaries of longer texts, with human evaluators' ratings of existing summaries.
DOI: 10.7799/3009689
title: Q1-2025 Solar Photovoltaic System Cost Benchmarks

description: The U.S. Department of Energy’s solar office and its national laboratory partners analyze cost data for U.S. solar photovoltaic systems to develop cost benchmarks to measure progress toward goals and guide research and development programs. The cost data is available in an Excel spreadsheet model that can be downloaded here.
DOI: 10.57702/n764as6v
title: Boost Your Own Human Image Generation Model via Direct Preference Optimization with AI Feedback

description: The generation of high-quality human images through text-to-image (T2I) methods is a significant yet challenging task. Distinct from general image generation, human image synthesis must satisfy stringent criteria related to human pose, anatomy, and alignment with textual prompts, making it particularly difficult to achieve realistic results.
DOI: 10.57702/ut9d0k77
title: Semi-supervised singing synthesis

description: A semi-supervised singing synthesizer, which is able to learn new voices from audio data only, without any annotations such as phonetic segmentation.
DOI: 10.15468/dl.yj8u5e
title: Occurrence Download

description: A dataset containing 13631552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is one of (CAN.11.65_1, CAN.5_1, CAN.4_1, CAN.7_1, CAN.10_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13631552 records from 907 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080116-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnzvnd
title: Occurrence Download

description: A dataset containing 13356 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Manatee Mortality 1974-2020"
 ]
}

 The dataset includes 13356 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014364-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bmyh8509
title: Gliomas Strongly Predicts Survival

description: The GLI dataset contains tumor and normal colon tissues.
DOI: 10.57702/v6ou9s7d
title: PoseTrack 2017 and PoseTrack 2018

description: Multi-person pose estimation and tracking serve as critical steps for video understanding. Most state-of-the-art approaches rely on first estimating poses in each frame and only then implementing data association and refinement.
DOI: 10.57702/el006sla
title: Neural-Symbolic Commonsense Reasoner with Relation Predictors

description: A neural-symbolic reasoner for Commonsense Knowledge Graphs (CKGs) that leverages a relation prediction module and weak uniﬁcation.
DOI: 10.57702/hkptq4vz
title: OctoPath test dataset

description: The dataset used for testing the OctoPath network, containing sequences of octrees and points from the reference path.
DOI: 10.57702/w6ne3wur
title: Federated Learning-based Data Sharing Framework for Industrial IoT

description: A federated learning-based data sharing framework for industrial IoT with FL and blockchain.
DOI: 10.57702/rlhpt9o8
title: Image Registration of Very Large Images via Genetic Programming

description: Image registration (IR) is a fundamental task in image processing for matching two or more images of the same scene taken at different times, from different viewpoints and/or by different sensors.
DOI: 10.57702/m188rng6
title: Dress and Bag Datasets

description: The dataset used in the paper is a collection of e-commerce queries and their corresponding segmented queries. The dataset is used to evaluate the performance of the proposed attention-based BiLSTM-CRF model for query segmentation.
DOI: 10.57702/wrgu4ooj
title: McGill

description: The McGill dataset is a 3D point cloud dataset containing 3D models of various objects.
DOI: 10.57702/k56dt0i9
title: Training dataset for deep learning surrogate model

description: A dataset of 500 groups of well control sequences for the producers and injectors, and the production data sequences solved with the numerical simulator.
DOI: 10.57702/u71wc2ld
title: ICBHI17 respiratory sound database

description: A respiratory sound database for the development of automated classification, focusing on respiratory conditions and biometric analysis.
DOI: 10.7910/dvn/nmhb0i
title: Improving TB Screening in Pregnant and Postpartum Women Living with HIV in Botswana

description: Quantitative data for maternal TB study
DOI: 10.57702/tkvm8sx3
title: PhysioNet Challenge 2016 Dataset

description: PhysioNet Challenge 2016 Dataset which contains simultaneously acquired PCG and ECG recordings.
DOI: 10.57702/7x1t2b8g
title: Foreign exchange markets

description: Foreign exchange markets data
DOI: 10.57702/bvfnzc3q
title: FlickrTM

description: The dataset used for testing the proposed UGAN-P model, which consists of images of underwater scenes with and without distortion.
DOI: 10.57702/q1j0vlii
title: Our World in Data COVID-19 dataset

description: The Our World in Data COVID-19 dataset is a aggregated dataset from various sources, including official data collated by the Our World in Data team, JHU CSSE COVID-19 Data, Arroyo-Marioli F, Bullano F, Kucinskas S, Rondón-Moreno C, Oxford COVID-19 Government Response Tracker, International organizations (UN, World Bank, OECD, IHME).
DOI: 10.57702/cc7f1qmn
title: ICFG-PEDES

description: Text-based Person Search (TPS) task is targeted on retrieving pedestrians to match text descriptions instead of query images.
DOI: 10.57702/ja9ljjik
title: TPTP problem library

description: TPTP problem library
DOI: 10.57702/mm17zfn1
title: VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

description: A public PSV dataset for parking slot and lane markings segmentation
DOI: 10.57702/x8x4j617
title: Bank8FM

description: The dataset used in this paper is a real-world dataset for imbalanced regression problems.
DOI: 10.57702/7ixolb0w
title: Depth-aware video frame interpolation

description: Depth-aware video frame interpolation.
DOI: 10.57702/zl61q2gj
title: Knowledge Graph-Enhanced Large Language Models via Path Selection

description: Two datasets, MetaQA and FACTKG, are used to evaluate the effectiveness of the proposed method KELP. MetaQA is a critical benchmark dataset containing subsets of questions with 1-hop/2-hop reasoning steps, and featuring a wide variety of questions. FACTKG is a dataset comprising 108,000 claims categorized as either True or False, where claims are subject to validation with DBpedia.
DOI: 10.57702/dfe6d5gm
title: MovieLens-10M

description: The dataset is used for video recommendation, and it contains user-video interactions.
DOI: 10.15156/bio/sh0155672.10fu
title: SH0155672.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0155673.10fu
title: SH0155673.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0155674.10fu
title: SH0155674.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.