cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.23054657.v2
title: Memory at your fingertips: how viscoelasticity affects tactile neuron signaling

description: This dataset accompanies the paper "Memory at your fingertips: how viscoelasticity affects tactile neuron signaling", by Hannes P Saal, Ingvars Birznieks, and Roland S Johansson.
<br>
Nerve recordings, motor positions, and associated parameters are saved in HDF5 files, split by neuron. For details regarding data organisation please see the attached REAMDE.md file.
<br>
The study was originally approved by the local ethics committee at Umeå University, Sweden.
<br>
DOI: 10.15468/dl.fz2d3v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltocalathos baurii (Mac Owan) M.Tamura",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050551-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15680866
title: Replication package for Ticket-Augmented Just-in-Time Defect Prediction

description: The primary goal of bug prediction is to optimize testing efforts by focusing on software fragments, i.e., classes, methods, commits (JIT), or lines of code, most likely to be buggy. However, these predicted fragments already contain bugs. Thus, the current bug prediction approaches support fixing rather than prevention. The aim of this paper is to introduce and evaluate Ticket-Level Prediction (TLP), an approach to identify tickets that will introduce bugs once implemented. We analyze TLP at three temporal points, each point represents a ticket lifecycle stage: Open, In Progress, or Closed. We conjecture that: (1) TLP accuracy increases as tickets progress towards the closed stage due to improved feature reliability over time, and (2) the predictive power of features changes across these temporal points.  Our TLP approach leverages 72 features belonging to six different families: code, developer, external temperature, internal temperature, intrinsic, ticket to tickets, and JIT. Our TLP evaluation uses a sliding-window approach, balancing feature selection and three machine-learning bug prediction classifiers on about 10,000 tickets of two Apache open-source projects. Our results show that TLP accuracy increases with proximity, confirming the expected trade-off between early prediction and accuracy. Regarding the prediction power of feature families, no single feature family dominates across stages; developer-centric signals are most informative early, whereas code and JIT metrics prevail near closure, and temperature-based features provide complementary value throughout. Our findings complement and extend the literature on bug prediction at the class, method, or commit level by showing that defect prediction can be effectively moved upstream, offering opportunities for risk-aware ticket triaging and developer assignment before any code is written.
DOI: 10.5281/zenodo.15679886
title: The CRyPTIC Consortium Dataset

description: Following the data freeze which produced the original dataset (v1.1.1), additional samples were received from members of the the CRyPTIC Consortium. This version  includes these samples. It is not a superset of v1.1.1 since any sample from v1.1.1 whose FASTQ files were downloaded from the ENA are not included -- this reduces the number of genomes significantly, and the number of pDST measurements slightly. Due to this we recommend using later versions if possible as these will be more complete.

This dataset contains the high-level data tables produced by the CRyPTIC Consortium. It contains information on a large number of M. tuberculosis complex samples that were collected and collated by the project. In total



44,405 samples with whole-genome sequencing (WGS) information (all derived from short-reads)

56,405 samples with at least one phenotypic drug susceptibility test (pDST) result.



Of these 21,570 were collected by CRyPTIC and had the minimum inhibitory concentrations of 13 antibiotics measured using either a UKMYC5 or UKMYC6 96-well broth microdilution plate.



36,738 samples have both WGS and pDST data.


Due to the size of some of the data tables, the larger ones are stored as PyArrow parquet files. These can be e.g. loaded using pandas but one ordinarily needs to first

pip install pyarrow
DOI: 10.5281/zenodo.15680605
title: DATA: Adaptive significance of egg size in longhorn beetles: species-specific responses to larval starvation and host tree species

description: see "Readme" file
DOI: 10.5281/zenodo.15680606
title: DATA: Adaptive significance of egg size in longhorn beetles: species-specific responses to larval starvation and host tree species

description: see "Readme" file
DOI: 10.15468/dl.q5vemv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltocalathos baurii (Mac Owan) M.Tamura",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050553-250525065834625/datasets/export for details.
DOI: 10.17877/tudodata-2025-mc06wayr
title: G. P. Telemann's "Exercises in Singing, Keyboard-Playing, and Thoroughbass"
title: A Pedagogical Edition of 48 Arias with Thoroughbass, TWV 25: 39–85 (1733-34)

description: This modern pedagogical edition and translation of G. P. Telemann's "Exercises in Singing, Keyboard-Playing, and Thoroughbass" contains 48 Arias with thoroughbass realized by Telemann (TWV 25: 39–85), composed 1733-34. The edition is offered in several formats: (1) original; (2) with editorial analysis of bass scale degrees; (3) without original thoroughbass figures; (4) without middle voices; (5) without realization; and (6) as worksheets for melodic diction (i.e., without the vocal line). To support the incorporation of Telemann's exercises in ear training courses, AIFF audio files are given as well with left-right pan between solo and accompaniment. In addition, German and English summaries of Telemann's instruction are also provided in PDF, Word, and Pages formats. Finally, all notation files are given in PDF, Sibelius, and musicxml formats.
DOI: 10.15468/dl.zp5h9c
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Albertisia mangenotii (Guillaumet & Debray) Forman"
 ]
}

 The dataset includes 37 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050552-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwqmy6
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betta hendra Schindler & Linke, 2013"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050556-250525065834625/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.29336000
title: <b>Use of digital tools and occupational burnout of caregivers in </b><b>psychiatric hospitals</b>

description: This study examines how the use of digital tools contributes to psychosocial risk factors and occupational burnout among health professionals in French psychiatric hospitals. A total of 392 participants including nurses, psychiatrists, healthcare executives, and other clinical staff were recruited from three specialized psychiatric hospitals in the Rhône-Alpes-Auvergne region. Data were collected using self-administered, validated questionnaires measuring work-related stressors, digital tool use, and indicators of burnout.
DOI: 10.6084/m9.figshare.29336000.v1
title: <b>Use of digital tools and occupational burnout of caregivers in </b><b>psychiatric hospitals</b>

description: This study examines how the use of digital tools contributes to psychosocial risk factors and occupational burnout among health professionals in French psychiatric hospitals. A total of 392 participants including nurses, psychiatrists, healthcare executives, and other clinical staff were recruited from three specialized psychiatric hospitals in the Rhône-Alpes-Auvergne region. Data were collected using self-administered, validated questionnaires measuring work-related stressors, digital tool use, and indicators of burnout.
DOI: 10.15468/dl.xmd672
title: Occurrence Download

description: A dataset containing 2084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-16.60196 37.06497,50.60196 37.06497,50.60196 63.93503,-16.60196 63.93503,-16.60196 37.06497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dromaeolus barnabita (A.Villa & J.B.Villa, 1838)"
 ]
}

 The dataset includes 2084 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050555-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15680901
title: [Supplemental Material] MicroM: A Size Measurement Method for Microservice-Based Software Architectures
DOI: 10.6084/m9.figshare.22852355.v4
title: Vane, Cobain & Larsen: Carbon stable isotope analysis of amino acids review. Compilation Data

description: Metadata spreadsheets pertaining to the data compilations as part of the Vane, Cobain, and Larsen review:<b>The power and pitfalls of amino acid carbon stable isotopes for tracing origin and use of basal resources in food webs</b>Published January 2025 Ecological Monographs: https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1647<b>Abstract:</b>Natural and anthropogenic stressors alter the composition, biomass, and nutritional quality of primary producers and microorganisms, the basal organisms that synthesize the biomolecules essential for metazoan growth and survival (i.e., basal resources). Traditional biomarkers have provided valuable insight into the spatiotemporal dynamics of basal resource use, but lack specificity in identifying multiple basal organisms, can be confounded by environmental and physiological processes, and do not always preserve in tissues over long timescales. Carbon stable isotope ratios of essential amino acids (δ<sup>13</sup>C-EAA) show remarkable promise in identifying and distinguishing clades of basal organisms with unique δ<sup>13</sup>C-EAA fingerprints that are independent of trophic processing and environmental variability, providing unparalleled potential in their application. Understanding the biochemical processes that underpin δ<sup>13</sup>C-AA data is crucial, however, for holistic and robust inferences in ecological applications. This comprehensive methodological review, for the first time, conceptualizes these mechanistic underpinnings that drive δ<sup>13</sup>C-EAA fingerprints among basal organisms and incorporates δ<sup>13</sup>C values of non-essential amino acids that are generally overlooked in ecological studies, despite the gain of metabolic information. We conduct meta-analyses of published data to test hypothesized AA-specific isotope fractionations among basal organism clades, demonstrating that phenylalanine separates vascular plant δ<sup>13</sup>C-EAA fingerprints, which strongly covaries with their phylogeny. We further explore the utility of non-essential AAs in separating dietary protein sources of archaeological humans, showing the differences in metabolic information contained within different NEAAs. By scrutinizing the many methodologies that are applied in the field, we highlight the absence of standardized analytical protocols, particularly in sample pretreatments leading to biases, inappropriate use of statistical methods, and reliance on unsuitable training data. To unlock the full potential of δ<sup>13</sup>C-EAA fingerprints, we provide in-depth explanations on knowledge gaps, pitfalls, and optimal practices in this complex but powerful approach for assessing ecosystem change across spatiotemporal scales.
DOI: 10.15468/dl.xunnbc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltocalathos baurii (Mac Owan) M.Tamura",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050557-250525065834625/datasets/export for details.
DOI: 10.17909/6cjp-2k84
title: Data from paper A JWST view of Omega Centauri. Detection of multiple stellar populations and their kinematics
DOI: 10.15468/dl.pbhq2x
title: Occurrence Download

description: A dataset containing 5728083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2000-2025"
 ]
}

 The dataset includes 5728083 records from 3522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050526-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egptcf
title: Occurrence Download

description: A dataset containing 1083 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otaria byronia (de Blainville, 1820)"
 ]
}

 The dataset includes 1083 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002774-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h5we5
title: Occurrence Download

description: A dataset containing 599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxocemus Cope, 1861"
 ]
}

 The dataset includes 599 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045797-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snkxap
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Arapaima gigas (Schinz, 1822)"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071367-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3b7gc4
title: Occurrence Download

description: A dataset listing the 15 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-113.98041 27.70785,-112.63458 27.71757,-112.72522 28.67131,-113.41736 29.94542,-114.69177 31.64403,-114.7982 31.87202,-114.89227 31.8589,-115.0351 31.96614,-115.17929 32.11716,-114.80988 32.48196,-114.69452 32.7226,-117.45209 32.51903,-118.66333 28.7484,-114.7522 28.49766,-114.16443 27.92175,-113.98041 27.70785))",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Anolis carolinensis Voigt, 1832",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "TaxonKey is Cyprinus carpio Linnaeus, 1758",
 "TaxonKey is Gambusia affinis (Baird & Girard, 1853)",
 "TaxonKey is Lepomis cyanellus Rafinesque, 1819",
 "TaxonKey is Lepomis gulosus (Cuvier, 1829)",
 "TaxonKey is Coptodon zillii (Gervais, 1848)",
 "TaxonKey is Carassius auratus (Linnaeus, 1758)",
 "TaxonKey is Acanthogobius flavimanus (Temminck & Schlegel, 1845)",
 "TaxonKey is Lepomis macrochirus Rafinesque, 1819",
 "TaxonKey is Cyprinus rubrofuscus Lacepède, 1803",
 "TaxonKey is Oreochromis aureus (Steindachner, 1864)",
 "TaxonKey is Lithobates berlandieri (Baird, 1859)",
 "TaxonKey is Apalone spinifera (Lesueur, 1827)",
 "TaxonKey is Hemidactylus frenatus Duméril & Bibron, 1836",
 "TaxonKey is Hemidactylus turcicus Boettger, 1893",
 "TaxonKey is Hemidactylus turcicus (Linnaeus, 1758)",
 "TaxonKey is Hemidactylus turcicus Rösler & Wrnaik, 1998",
 "TaxonKey is Iguana iguana (Linnaeus, 1758)",
 "TaxonKey is Indotyphlops braminus (Daudin, 1803)",
 "TaxonKey is Python regius (Shaw, 1802)",
 "TaxonKey is Trachemys scripta (Thunberg In Schoepff, 1792)",
 "TaxonKey is Mus musculus Linnaeus, 1758",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)",
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)",
 "TaxonKey is Rattus rattus (Linnaeus, 1758)",
 "TaxonKey is Sus scrofa domesticus Erxleben, 1777",
 "TaxonKey is Agapornis personatus Reichenow, 1887",
 "TaxonKey is Agapornis roseicollis (Stanley, 1814)",
 "TaxonKey is Agapornis roseicollis (Vieillot, 1818)",
 "TaxonKey is Anas platyrhynchos f. domesticus",
 "TaxonKey is Anser anser f. domesticus",
 "TaxonKey is Anser cygnoides f. domesticus",
 "TaxonKey is Bubulcus ibis (Linnaeus, 1758)",
 "TaxonKey is Cairina moschata (Linnaeus, 1758)"
 ]
 }
 ]
}

 The dataset's 15 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065399-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uxwzy
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prodoris Baranetz & Minichev, 1995"
 ]
}

 The dataset includes 99 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045788-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnd39m
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarina equisetifolia subsp. equisetifolia"
 ]
}

 The dataset includes 553 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002274-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrynol
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Musa ×paradisiaca L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1347 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017631-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvxxqh
title: Occurrence Download

description: A dataset containing 16706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Lynx rufus (Schreber, 1777)"
 ]
}

 The dataset includes 16706 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006299-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywmuy6
title: Occurrence Download

description: A dataset containing 13145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Japan",
 "Year 1000-2020",
 "HasCoordinate is true",
 "TaxonKey is Streptopelia orientalis (Latham, 1790)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13145 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059424-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeg2lk
title: Occurrence Download

description: A dataset containing 21545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Year 2009-2019",
 "TaxonKey is Tachybaptus ruficollis (Pallas, 1764)"
 ]
}

 The dataset includes 21545 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012990-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dys7jv
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Arapaima gigas (Schinz, 1822)"
 ]
}

 The dataset's 2 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071383-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krohp2
title: Occurrence Download

description: A dataset containing 2509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutiger Theobald, 1868"
 ]
}

 The dataset includes 2509 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035348-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqqxpd
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Year 1960-2020",
 "HasCoordinate is true",
 "TaxonKey is Quercus resinosa Liebm.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 401 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030459-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.