cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yw3jc3
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Bordetella pertussis, Bordetella parapertussis)"
 ]
}

 The dataset includes 136 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000525-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/vxpyr0t7
title: Sciplex dataset

description: The Sciplex dataset consists of three cancer cell lines (A549, MCF7, K562) treated with 188 compounds.
DOI: 10.57702/vlzhzzam
title: Seed germination and seedling survival of 6 cacti species using natural zeolite as substrate

description: Seed germination and seedling survival of 6 cacti species using natural zeolite as substrate.
DOI: 10.57702/twarcopp
title: Large-Scale Object Attribute dataset

description: The LSA dataset contains a large number of images with annotated objects and attributes.
DOI: 10.57702/3azi2vwz
title: Emotion Recognition in Speech Using Cross-Modal Transfer in the Wild

description: Emotion Recognition in Speech Using Cross-Modal Transfer in the Wild.
DOI: 10.57702/r0k0ldmj
title: MVTec-3D AD

description: The MVTec-3D AD dataset is a comprehensive real-world dataset for unsupervised 3D anomaly detection and localization.
DOI: 10.57702/rm9ccq14
title: SDVScenes

description: A novel large-scale dataset for spatio-temporal tagging of self-driving scenes, containing 15 attributes relating to vehicle and pedestrian density, the actions of each actor, the speed of each actor, interactions between actors, and the topology of the road map.
DOI: 10.57702/1snmohwd
title: Brilla AI Dataset

description: A dataset of NSMQ contests from 2012-2022 containing videos of the contest and corresponding metadata, text form of riddles questions, and open-source science textbooks.
DOI: 10.57702/eqi38hp7
title: Pattern formation of parasite-host model induced by fear effect

description: The dataset used in this paper is a parasite-host model induced by fear effect.
DOI: 10.57702/fk8a7ell
title: MedMCQA

description: MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions.
DOI: 10.5281/zenodo.18175802
title: Data for Temporal links in avian migration schedules across the annual cycle
DOI: 10.57702/tc4xufse
title: Delay Sensitive Hierarchical Federated Learning

description: The authors studied the impact of local averaging on the performance of federated learning systems in the presence of communication delay between the clients and the parameter server.
DOI: 10.57702/8y2q0oso
title: High-Dimensional Linear Models

description: High-dimensional data analysis plays an important role in modern scientific discoveries.
DOI: 10.57702/tv40qmb0
title: CrisisT6

description: The dataset used in the paper for crisis domain adaptation using sequence-to-sequence transformers.
DOI: 10.57702/rz7spr5x
title: Species coexistence patterns

description: The dataset contains species composition of 5153 vegetation patches in 4 dryland plant communities.
DOI: 10.57702/sjlka9n4
title: A systematic review of large scale and heterogeneous gene array data in heart failure

description: A systematic review of large scale and heterogeneous gene array data in heart failure
DOI: 10.57702/wia30hnt
title: Visual Domain Decathlon Benchmark

description: The Visual Domain Decathlon Benchmark consists of 10 image classification tasks that have been explicitly selected to represent different domains.
DOI: 10.57702/vpzaoi0h
title: Custom Pong Environment

description: A new Pong environment with a much higher degree of configurability than the current standard, including the ability to compete against a human opponent.
DOI: 10.57702/fd1qlr02
title: InfActPrimitive

description: InfActPrimitive dataset is a benchmark for infant action recognition, containing five significant infant milestone action categories.
DOI: 10.57702/s3nxbckn
title: Ev2Hands

description: 3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods rely on RGB inputs, which have severe limitations under low-light conditions and suffer from motion blur.
DOI: 10.15468/6pzju3
title: A review of Hyposoter parasitoid wasps (Hymenoptera, Ichneumonidae) in Switzerland

description: This dataset contains the digitized treatments in Plazi based on the original journal article Meier, Noah, Galsworthy, Anthony, Kopylov, Dmitry, Klopfstein, Seraina (2026): A review of Hyposoter parasitoid wasps (Hymenoptera, Ichneumonidae) in Switzerland. Alpine Entomology 10: 1-17, DOI: 10.3897/alpento.10.175647AbstractDarwin wasps represent the most species-rich family of parasitoid wasps but remain strongly understudied, with many species yet to be formally described. This is especially the case for the subfamily Campopleginae, a group of koinobiont endoparasitoids of various holometabolan insect orders. We studied most Campopleginae specimens housed at three major Swiss natural history collections, including 1,046 specimens of Hyposoter. We identified 53 of the 71 Western Palaearctic Hyposoter species in Switzerland, including 46 first records, one of which we describe as a new species. Using abundance-based coverage estimators, we estimate 54–61 Hyposoter species in the country. We show that the genus is more species-rich at low altitude and that only three species can be considered as high-altitude specialists, as many show broad altitudinal ranges. We describe Hyposoter beaumonti sp. nov. from Western Switzerland and establish three new synonyms: Hyposoter monensis Galsworthy & Shaw, 2023 of Phobocampe nigra Sedivy, 2004 (syn. nov.), the former becoming the valid name because the latter becomes a secondary homonym of Hyposoter niger (Brullé, 1846), Hyposoter castaneus Galsworthy & Shaw, 2023 of Lemophagus curtus Townes, 1965 (syn. nov.), and Hyposoter caedator corsicator Aubert, 1960 of Hyposoter caedator (Gravenhorst, 1829) (syn. nov.). Our findings underscore the critical role of diversified sampling strategies — including along altitudinal gradients — and up-to-date taxonomic revisions. They also highlight the importance of digitizing and publishing collection data after accurate identification, thereby enhancing the accessibility of ecological and biological information stored in natural history collections for future research.
DOI: 10.57702/kwqvubs7
title: Analog Circuit Design Dataset

description: The dataset used in the paper is a collection of analog circuits, including a two-stage Op-Amp and a GaN RF power amplifier. The dataset contains the circuit topology, device parameters, and desired specifications.
DOI: 10.57702/wp05mh75
title: ShanghaiTech Part B

description: ShanghaiTech Part B is a crowd counting dataset that contains 400 training images and 316 test images.
DOI: 10.57702/2k1ws3j6
title: Abdomen Images

description: The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline
DOI: 10.6084/m9.figshare.31018969.v1
title: Microwave-Assisted Extraction and Fractionation of Sargassum sp. brown seaweed: Antioxidant Activity, Bioactive Compounds Profiling, and In-Silico Assay

description: This repository contains the complete experimental and computational datasets supporting the research article entitled <b>“Fractionation of Brown Seaweed Extract After Microwave-Assisted Extraction Reveals Effective Antioxidants and Bioactive Compounds.”</b>The dataset covers the extraction and fractionation of <i>Sargassum</i> sp. brown seaweed using microwave-assisted extraction (MAE) followed by solvent partitioning (n-hexane, ethyl acetate, 1-butanol, and distilled water). It includes quantitative and qualitative data related to antioxidant activity, phytochemical content, compound identification, and in-silico evaluation of bioactive compounds.Specifically, the repository provides:Raw and processed data of <b>DPPH radical scavenging activity (IC₅₀ values)</b><b>Total phenolic and total flavonoid content</b> measurements<b>LC-HRMS metabolite profiling data</b> for crude extracts and fractions<b>FTIR spectra</b> for functional group characterization<b>Molecular docking results</b> (binding affinities and interaction residues) targeting NADPH oxidase subunits (SH3 domain and p47phox)<b>Molecular dynamics simulation outputs</b> including RMSD, RMSF, radius of gyration (Rg), and solvent accessible surface area (SASA)These data support the identification of <b>avobenzone</b> as a key antioxidant compound enriched through fractionation and provide evidence for its potential role in inhibiting reactive oxygen species (ROS) generation. The dataset is intended to enhance transparency, reproducibility, and reusability of the study and may serve as a reference for future research in natural antioxidants, marine bioresources, and green extraction technologies.
DOI: 10.57702/plas4jly
title: Anonymized landmark dataset

description: Anonymized landmark dataset with 3D landmark coordinates
DOI: 10.6084/m9.figshare.31018969
title: Microwave-Assisted Extraction and Fractionation of Sargassum sp. brown seaweed: Antioxidant Activity, Bioactive Compounds Profiling, and In-Silico Assay

description: This repository contains the complete experimental and computational datasets supporting the research article entitled <b>“Fractionation of Brown Seaweed Extract After Microwave-Assisted Extraction Reveals Effective Antioxidants and Bioactive Compounds.”</b>The dataset covers the extraction and fractionation of <i>Sargassum</i> sp. brown seaweed using microwave-assisted extraction (MAE) followed by solvent partitioning (n-hexane, ethyl acetate, 1-butanol, and distilled water). It includes quantitative and qualitative data related to antioxidant activity, phytochemical content, compound identification, and in-silico evaluation of bioactive compounds.Specifically, the repository provides:Raw and processed data of <b>DPPH radical scavenging activity (IC₅₀ values)</b><b>Total phenolic and total flavonoid content</b> measurements<b>LC-HRMS metabolite profiling data</b> for crude extracts and fractions<b>FTIR spectra</b> for functional group characterization<b>Molecular docking results</b> (binding affinities and interaction residues) targeting NADPH oxidase subunits (SH3 domain and p47phox)<b>Molecular dynamics simulation outputs</b> including RMSD, RMSF, radius of gyration (Rg), and solvent accessible surface area (SASA)These data support the identification of <b>avobenzone</b> as a key antioxidant compound enriched through fractionation and provide evidence for its potential role in inhibiting reactive oxygen species (ROS) generation. The dataset is intended to enhance transparency, reproducibility, and reusability of the study and may serve as a reference for future research in natural antioxidants, marine bioresources, and green extraction technologies.
DOI: 10.57702/u10zfqpw
title: KITTI 2012 dataset

description: The dataset used for training and testing the proposed EDNet model for efficient disparity estimation.
DOI: 10.25346/s6eecgix/mgi1tq
title: msXL_334v_48_35.tif
DOI: 10.25346/s6eecgix/ntq3qj
title: msXL_334v_48_34.tif
DOI: 10.25346/s6eecgix/2ni9au
title: msXL_334v_48_33.tif
DOI: 10.25346/s6eecgix/xfbmcj
title: msXL_334v_48_32.tif
DOI: 10.25346/s6eecgix/4dpwos
title: msXL_334v_48_31.tif
DOI: 10.25346/s6eecgix/mdagpx
title: msXL_334v_48_30.tif
DOI: 10.25346/s6eecgix/j4pjdi
title: msXL_334v_48_29.tif
DOI: 10.25346/s6eecgix/wxwqoo
title: msXL_334v_48_28.tif
DOI: 10.25346/s6eecgix/u3rfjt
title: msXL_334v_48_27.tif
DOI: 10.25346/s6eecgix/l71uzh
title: msXL_334v_48_26.tif
DOI: 10.25346/s6eecgix/2oaq3j
title: msXL_334v_48_25.tif
DOI: 10.15468/dl.vjw38w
title: Occurrence Download

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

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014111-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1205064.10fu
title: SH1205064.10FU

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/sh1205065.10fu
title: SH1205065.10FU

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: 10.57760/sciencedb.j00210.00083
title: RNA-seq data from Bupleurum chinense and sequence of CYP716A41, CYP716Y4
title: RNA-seq data from Bupleurum chinense and sequence of CYP716A41, CYP716Y4

description: CC2 and CBC1 (Bupleurum chinense) were planted at the Longshan Mountain Research Farm at the Southwest University of Science and Technology in Mianyang, China (31°32′N, 104°42′W). Roots and Leafs of CC2 and CBC1 were collected at the adult stage and used for transcriptome sequencing. The submitted CYP716A41 and CYP716Y4 sequences were derived from CBC1.
description: CC2 and CBC1 (Bupleurum chinense) were planted at the Longshan Mountain Research Farm at the Southwest University of Science and Technology in Mianyang, China (31°32′N, 104°42′W). Roots and Leafs of CC2 and CBC1 were collected at the adult stage and used for transcriptome sequencing. The submitted CYP716A41 and CYP716Y4 sequences were derived from CBC1.
DOI: 10.15156/bio/sh1205067.10fu
title: SH1205067.10FU

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/sh1205068.10fu
title: SH1205068.10FU

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/sh1205072.10fu
title: SH1205072.10FU

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/sh1205074.10fu
title: SH1205074.10FU

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/sh1205075.10fu
title: SH1205075.10FU

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/sh1205077.10fu
title: SH1205077.10FU

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/sh1205080.10fu
title: SH1205080.10FU

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.