cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.26vn24
title: Occurrence Download

description: A dataset containing 4115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-466.3916 36.2487,-467.88574 36.17779,-468.2373 31.43335,-457.33887 25.64648,-452.50488 29.61645,-452.06543 36.17779,-466.3916 36.2487))",
 "HasGeospatialIssue is false",
 "TaxonKey is Psocodea"
 ]
}

 The dataset includes 4115 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088578-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mo2pys
title: Occurrence Download

description: A dataset containing 295223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Year 2009-2019",
 "TaxonKey is Picidae"
 ]
}

 The dataset includes 295223 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010582-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg5nzt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.7252605999999986 42.0587408999999965, -87.7252605999999986 42.0592552100000034, -87.7252605999999986 42.0597940099999974, -87.7252605999999986 42.0600144300000025, -87.7252605999999986 42.0606512000000023, -87.7252605999999986 42.0611655100000021, -87.7252605999999986 42.0616063399999973, -87.7252605999999986 42.0619981999999979, -87.7252605999999986 42.0625369999999990, -87.7246732499999951 42.0625369999999990, -87.7243795699999964 42.0625369999999990, -87.7239880000000056 42.0625369999999990, -87.7234006500000021 42.0625369999999990, -87.7228132999999985 42.0625369999999990, -87.7228132999999985 42.0623410700000022, -87.7228132999999985 42.0618267600000024, -87.7228132999999985 42.0612634700000001, -87.7228132999999985 42.0609450899999970, -87.7228132999999985 42.0602103599999992, -87.7228132999999985 42.0596960499999994, -87.7228132999999985 42.0592307200000022, -87.7228132999999985 42.0587408999999965, -87.7233272299999953 42.0587408999999965, -87.7237677499999933 42.0587408999999965, -87.7243061500000039 42.0587408999999965, -87.7247711400000014 42.0587408999999965, -87.7252605999999986 42.0587408999999965))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096583-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.274ktm
title: Occurrence Download

description: A dataset containing 9133861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Country is United States of America",
 "InstitutionCode is inaturalist",
 "Year 2017-2022"
 ]
}

 The dataset includes 9133861 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183085-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czn7eh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aa aurantiaca D.Trujillo, Aa erosa (Rchb.f.) Schltr., Aa figueroi Szlach. & S.Nowak, Aa lehmannii Rchb.f. ex Szlach. & Kolan., Aa lorentzii Schltr.)",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183087-210914110416597/datasets/export for details.
DOI: 10.15468/dl.cmhtbr
title: Occurrence Download

description: A dataset containing 25365146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyanocitta cristata (Linnaeus, 1758), Cyanocitta stelleri (Gmelin, 1788), Cyanocompsa parellina (Bonaparte, 1850), Cyanocorax affinis Pelzeln, 1856, Cyanocorax beecheii (Vigors, 1829), Cyanocorax caeruleus (Vieillot, 1818), Cyanocorax cayanus (Linnaeus, 1766), Cyanocorax chrysops (Vieillot, 1818), Cyanocorax cristatellus (Temminck, 1823), Cyanocorax cyanomelas (Vieillot, 1818), Cyanocorax cyanopogon (Wied-Neuwied, 1821), Cyanocorax dickeyi R.T.Moore, 1935, Cyanocorax heilprini Gentry, 1885, Cyanocorax melanocyaneus (Hartlaub, 1844), Cyanocorax mystacalis (Sparre, 1835), Cyanocorax sanblasianus (Lafresnaye, 1842), Cyanocorax violaceus Du Bus de Gisignies, 1847, Cyanocorax yncas (Boddaert, 1783), Cyanocorax yucatanicus (Dubois, 1875), Stachyridopsis chrysaea (Blyth, 1844), Stachyris erythroptera (Blyth, 1842), Stachyridopsis ruficeps (Blyth, 1847), Stachyridopsis rufifrons (Hume, 1873), Coracina azurea (Cassin, 1852), Cyanolanius madagascarinus (Linnaeus, 1766), Cyanoliseus patagonus (Vieillot, 1818), Cyanoloxia brissonii (Lichtenstein & Mhc, 1823), Cyanocompsa cyanoides (Lafresnaye, 1847), Cyanoloxia glaucocaerulea (d'Orbigny & Lafresnaye, 1837), Cyanolyca argentigula (Lawrence, 1875), Cyanolyca armillata (G.R.Gray, 1845), Cyanolyca cucullata (Ridgway, 1885), Cyanolyca mirabilis Nelson, 1903, Cyanolyca nanus (Du Bus de Gisignies, 1847), Cyanolyca pulchra (Lawrence, 1876), Cyanolyca pumilo (Strickland, 1849), Cyanolyca turcosa (Bonaparte, 1853), Cyanolyca viridicyanus (Orbigny & Lafresnaye, 1838), Cyanomitra alinae Jackson, 1904, Cyanomitra olivacea (A.Smith, 1840), Cyanomitra oritis (Reichenow, 1892), Cyanomitra verticalis (Latham, 1790), Cyanopica cyanus (Pallas, 1776), Cyanopsitta spixii (Wagler, 1832), Cyanoptila cyanomelana (Temminck, 1829), Cyanoramphus auriceps (Kuhl, 1820), Cyanoramphus forbesi Rothschild, 1893, Cyanoramphus malherbi Souance, 1857, Cyanoramphus novaezelandiae (Sparrman, 1787), Cyanoramphus unicolor (Lear, 1831), Cyclarhis gujanensis (Gmelin, 1789), Cyclopsitta diophthalma (Hombron & Jacquinot, 1841), Cygnus atratus (Latham, 1790), Cygnus buccinator Richardson, 1831, Cygnus columbianus (Ord, 1815), Cygnus cygnus (Linnaeus, 1758), Cygnus melancoryphus (Molina, 1782), Cygnus olor (J.F.Gmelin, 1789), Cymbilaimus lineatus (Leach, 1814), Cymbilaimus sanctaemariae Gyldenstolpe, 1941)",
 "HasCoordinate is one of (true)"
 ]
}

 The dataset includes 25365146 records from 1614 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183119-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6djhn7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6.4_1",
 "TaxonKey is Tringa guttifer (Nordmann, 1835)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030453-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30892073
title: firm that attracts traders looking for affordable funded

description: t sizes depending on their strategy and experience. The firm emphasizes disciplined trading and risk management.
DOI: 10.15468/dl.5wgtbz
title: Occurrence Download

description: A dataset containing 291799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 291799 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2303075148
title: Exploring the automated MX data collection capabilities at the ESRF

description: Diamond Light Source will undergo a major upgrade of its machine and beamlines (the Diamond II upgrade) with a dark period for the beamlines of 18 months starting in December 2027. The Diamond MX group are exploring options to support MX experiments through this period of unavailability and wish to perform preliminary experiments at the ESRF to understand current capabilities for data collections at ID23-1 at the ESRF. This will inform longer term possibilities for Diamond MX experiments through the Diamond upgrade dark period, enable us to provide informed advice to our user community on options outside of Diamond and provide a focal point for knowledge exchange between ESRF and Diamond on MX data collection methodologies.
DOI: 10.15151/esrf-es-2295870900
title: Characterization of cadmium-induced protein aggregation mechanisms associated to Alzheimer's disease

description: Recent studies have implicated cadmium (Cd), a neurotoxic metal, in the development of Alzheimer’s disease (AD). Cd accumulates in the hippocampus, a brain region that is affected early and severely in AD. As Cd can easily compete with zinc (Zn)-binding sites in cells, we hypothesise that Cd could accumulate in Zn-rich mossy fibres (MF), where early tau pathology emerges. The Tau protein has three Zn-binding sites and Cd may substitute for Zn, thereby promoting Tau aggregation. Using mouse organotypic hippocampal slice cultures (OHSCs) and nanoXRF imaging, we aim to demonstrate the accumulation of Cd in MF and its correlation with Tau aggregation by comparing SXRF elemental maps with OHSCs adjacent sections labelled with a phospho-Tau antibody.
DOI: 10.15151/esrf-es-2267528325
title: Vibrissa-to-brain: centimetre scale bottom-up connectomics

description: Current mammalian connectomic work is impeded by the small scale of analyzable samples compared to the large scale of mammalian brains. Consequently, the circuits under investigation are difficult to understand because relevant inputs are typically missing. Our proposal addresses this problem with centimetre-scale connectomic analysis of the vibrissa-to-brain connection. We developed the vibrissa-to-brain preparation, which preserves the connection of vibrissa follicle and brain and allows hierarchical synchrotron of this pathway. ID16A test scans confirm the feasibility of detecting fine axonal branches in the brainstem region of these samples, which we previously imaged entirely at DESY P10 (GINIX). Here, we aim to perform targeted imaging of the entire brainstem and ganglion of such a vibrissa-to-brain sample to map identified afferents onto their neuronal wiring partners in the brain. This first-off centimetre-sized circuit mapping will open novel avenues in connectomic research.
DOI: 10.5281/zenodo.17947732
title: Survey on Data Management Practices in Hemoglobinopathies within HELIOS Working Group 3 (WG3)

description: This dataset contains anonymised responses from a survey conducted within HELIOS Working Group 3 (WG3) to assess data management practices in the field of hemoglobinopathies. The survey focused on how data related to hemoglobinopathy care and research are collected, stored, standardised, governed, and shared across participating institutions.

Key topics covered include data collection workflows, use of digital systems, data standards and interoperability, data quality, governance frameworks, ethical and legal considerations, and barriers and needs related to data sharing and reuse. The survey targeted healthcare professionals, researchers, and data managers involved in hemoglobinopathy-related activities within the HELIOS network.

All responses were fully anonymised prior to deposition. The dataset does not contain any directly or indirectly identifiable personal data. This dataset supports ongoing efforts within HELIOS WG3 to improve data harmonisation and data infrastructure for hemoglobinopathies and may be reused for methodological, comparative, or policy-oriented research.

 

This record is part of the HELIOS COST Action CA22119 Zenodo Community
DOI: 10.5281/zenodo.17947733
title: Survey on Data Management Practices in Hemoglobinopathies within HELIOS Working Group 3 (WG3)

description: This dataset contains anonymised responses from a survey conducted within HELIOS Working Group 3 (WG3) to assess data management practices in the field of hemoglobinopathies. The survey focused on how data related to hemoglobinopathy care and research are collected, stored, standardised, governed, and shared across participating institutions.

Key topics covered include data collection workflows, use of digital systems, data standards and interoperability, data quality, governance frameworks, ethical and legal considerations, and barriers and needs related to data sharing and reuse. The survey targeted healthcare professionals, researchers, and data managers involved in hemoglobinopathy-related activities within the HELIOS network.

All responses were fully anonymised prior to deposition. The dataset does not contain any directly or indirectly identifiable personal data. This dataset supports ongoing efforts within HELIOS WG3 to improve data harmonisation and data infrastructure for hemoglobinopathies and may be reused for methodological, comparative, or policy-oriented research.

 

This record is part of the HELIOS COST Action CA22119 Zenodo Community
DOI: 10.5281/zenodo.17947915
title: Milliy muloqot xulqini  shakllantirishda bolalarga  xos o'yin faoliyatining ahamiyati

description: Maqolada maktabgacha yoshdagi bolalarda milliy muloqot xulqini shakllantirish jarayonida o‘yin faoliyatining psixologik-pedagogik asoslari ochib beriladi. Milliy qadriyatlarni singdirish, ijtimoiy kompetensiyalarni shakllantirish, bolalarning nutqiy va muloqot madaniyatini rivojlantirishda o‘yinlarning ta’siri ilmiy manbalar asosida tahlil qilinadi. O‘yin faoliyatining mazmuni, turi va metodik qo‘llanilishi milliy muloqot xulqining asosiy komponentlari bilan bog‘lanib o‘rganiladi. Tadqiqot natijalariga ko‘ra, an’anaviy va innovatsion o‘yinlar bolalarda o‘zaro hurmat, ijtimoiy hamkorlik, madaniy xulq me’yorlarini egallashning samarali vositasi ekanligi aniqlanadi.
DOI: 10.5281/zenodo.17947916
title: Milliy muloqot xulqini  shakllantirishda bolalarga  xos o'yin faoliyatining ahamiyati

description: Maqolada maktabgacha yoshdagi bolalarda milliy muloqot xulqini shakllantirish jarayonida o‘yin faoliyatining psixologik-pedagogik asoslari ochib beriladi. Milliy qadriyatlarni singdirish, ijtimoiy kompetensiyalarni shakllantirish, bolalarning nutqiy va muloqot madaniyatini rivojlantirishda o‘yinlarning ta’siri ilmiy manbalar asosida tahlil qilinadi. O‘yin faoliyatining mazmuni, turi va metodik qo‘llanilishi milliy muloqot xulqining asosiy komponentlari bilan bog‘lanib o‘rganiladi. Tadqiqot natijalariga ko‘ra, an’anaviy va innovatsion o‘yinlar bolalarda o‘zaro hurmat, ijtimoiy hamkorlik, madaniy xulq me’yorlarini egallashning samarali vositasi ekanligi aniqlanadi.
DOI: 10.7910/dvn/fboymj
title: The Sequence Matters: A Crossover Study on VR and Traditional Instruction in Engineering Education

description: This dataset originates from a feasibility study that employed a 2x2 crossover design to compare a VR lesson on UV water disinfection with traditional instruction among 52 engineering students. Results showed the VR condition elicited significantly higher self-reported flow (p&lt;.001) and engagement (p=.006). A key finding was a sequence effect on usability: the VR-first group rated usability significantly higher (mean SUS=93.4) than the Trad-first group (mean SUS=78.3). Qualitative analysis revealed students valued VR's clarity and interactivity, with 88.5\% preferring a blended learning approach. The study provides preliminary evidence of feasibility and positive user acceptance of VR and suggests that instructional sequence may be associated with differences in perceived usability; all findings reflect self-reported perceptions rather than confirmed learning outcomes.
DOI: 10.5281/zenodo.17947801
title: model dataset for "Self-organization of mid-ocean ridge segments during oblique oceanisation"
DOI: 10.5281/zenodo.17947800
title: model dataset for "Self-organization of mid-ocean ridge segments during oblique oceanisation"
DOI: 10.34740/kaggle/dsv/13566481
title: textocr
DOI: 10.15468/dl.res4ja
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.66_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leonurus cardiaca"
 ]
}

 The dataset includes 75 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054302-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/gn8k5
title: Interrogatives in Indian Sign Language (India)

description: Video, ELAN, and textual data for Interrogatives in Indian Sign Language. This research has been supported by
the German Science Foundation (DFG), grant #STE 958/10-1 / ZE 1040/6-1.
DOI: 10.17605/osf.io/2xb8r
title: Affective and computational determinants of threat extinction biases (PAVEXT)

description: The project aims to examine the affective and computational mechanisms associated with learning biases in Pavlovian threat acquisition and extinction.
DOI: 10.5281/zenodo.17461505
title: Constraint Layer AI Research - Venue Ledger v3.0 (updated 12-15-2025)

description: Verification ledger tracking published constraint analyses, binding venue submissions, challenge entries, and validation records. Provides transparent record of platform capability demonstrations across defense, energy, healthcare, manufacturing, and regulatory domains. Includes DOI references, venue identifiers, submission dates, and attestation records for independent verification of Constraint Layer AI Research platform performance.
DOI: 10.5281/zenodo.17947988
title: Constraint Layer AI Research - Venue Ledger v3.0 (updated 12-15-2025)

description: Verification ledger tracking published constraint analyses, binding venue submissions, challenge entries, and validation records. Provides transparent record of platform capability demonstrations across defense, energy, healthcare, manufacturing, and regulatory domains. Includes DOI references, venue identifiers, submission dates, and attestation records for independent verification of Constraint Layer AI Research platform performance.
DOI: 10.15468/dl.qjmk9d
title: Occurrence Download

description: A dataset containing 7701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larix gmelinii"
 ]
}

 The dataset includes 7701 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054303-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/5mjp-gz09
title: "EmoCue-Eval"

description: "One prerequisite assumption of EmoCue-360 is that the human-annotated data used for evaluation must be of sufficiently high quality and capable of covering all major emotional cues present in the video segments. At present, among publicly available datasets, only the EMER dataset can reasonably meet this requirement in terms of annotation quality and cue-level granularity. To further facilitate systematic evaluation research in the EMER task, we additionally construct a new benchmark, EmoCue-Eval, which contains 400 carefully and finely annotated test samples covering diverse scenarios, speakers, and emotional states. To the best of our knowledge, EmoCue-Eval is currently the largest EMER benchmark of its kind. This dataset provides a more systematic benchmark for future research on the comparison of EMER models. "
DOI: 10.5281/zenodo.17629589
title: TICHR: Transcriptional regulation analysis by integrating epigenome, 3D genome and transcriptome

description: This test dataset contains only data from chr2 and chr12. It is for https://tichr.readthedocs.io/en/latest and https://github.com/wangjk321/TICHR.

It includes the following folders:

Compute

Test data for the “Compute Rg and RgX” section. It contains a set of DNase, H3K27ac, and Hi-C data; a set of downstream Hi-C processing data used to adjust the computed results; a gene blacklist used for result refinement; as well as test gene and site datasets. The .hic file can be downloaded from: https://www.encodeproject.org/files/ENCFF621AIY/@@download/ENCFF621AIY.hic

SiteToGene

Test data for the “Characterizing enhancer-promoter interactions” section. It contains multiple Rg and RgX DataFrames, as well as a gold-standard enhancer–promoter (E-P) interaction file.

DEG

Test data for the “DEG prediction and attributing transcriptional changes” section. It includes Rg and RgX DataFrames for two test datasets, used respectively for single-factor analysis and multiple-factor analysis.

Treatment

Test data for the “Regulation–transcription concordance analysis” section. It includes multiple Rg and RgX DataFrames for various factors before and after siNIPBL treatment.

Negative

Test data for the “Identifying negative regulation for context-specific regulators” section. It includes two datasets containing Rg and RgX DataFrames before and after treatment, used for the single-sample analysis and multi-sample analysis components.

Large

Test data for the “Cross-sample analysis of large-scale and single-cell data” section. It contains a bulk multi-sample dataset and a single-cell multi-sample dataset.

TimeSeries

Test data for the “Revealing time-series transcriptional dynamics” section. It includes a single-gene time-series RgX dataset and Rg/RgX DataFrames covering all time points of a time-series experiment.
DOI: 10.5281/zenodo.17947846
title: TICHR: Transcriptional regulation analysis by integrating epigenome, 3D genome and transcriptome

description: This test dataset contains only data from chr2 and chr12. It is for https://tichr.readthedocs.io/en/latest and https://github.com/wangjk321/TICHR.

It includes the following folders:

Compute

Test data for the “Compute Rg and RgX” section. It contains a set of DNase, H3K27ac, and Hi-C data; a set of downstream Hi-C processing data used to adjust the computed results; a gene blacklist used for result refinement; as well as test gene and site datasets. The .hic file can be downloaded from: https://www.encodeproject.org/files/ENCFF621AIY/@@download/ENCFF621AIY.hic

SiteToGene

Test data for the “Characterizing enhancer-promoter interactions” section. It contains multiple Rg and RgX DataFrames, as well as a gold-standard enhancer–promoter (E-P) interaction file.

DEG

Test data for the “DEG prediction and attributing transcriptional changes” section. It includes Rg and RgX DataFrames for two test datasets, used respectively for single-factor analysis and multiple-factor analysis.

Treatment

Test data for the “Regulation–transcription concordance analysis” section. It includes multiple Rg and RgX DataFrames for various factors before and after siNIPBL treatment.

Negative

Test data for the “Identifying negative regulation for context-specific regulators” section. It includes two datasets containing Rg and RgX DataFrames before and after treatment, used for the single-sample analysis and multi-sample analysis components.

Large

Test data for the “Cross-sample analysis of large-scale and single-cell data” section. It contains a bulk multi-sample dataset and a single-cell multi-sample dataset.

TimeSeries

Test data for the “Revealing time-series transcriptional dynamics” section. It includes a single-gene time-series RgX dataset and Rg/RgX DataFrames covering all time points of a time-series experiment.