cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nb53wn
title: Occurrence Download

description: A dataset containing 631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Ratibida columnifera (Nutt.) Wooton & Standl.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 631 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013492-250525065834625/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.29145791.v1
title: AI-Generated Clinical Score Sheets Using Advanced LLMs: Study 2 Raw Data

description: This dataset contains the raw outputs and source files associated with Study 2 of a project investigating the application of advanced Large Language Models (LLMs) to generate clinical score sheets for animal welfare assessment. Building upon prior research (Berce et al., 2024), this study evaluates the performance of newer LLMs including GPT-4, Claude, and Gemini across multiple animal models and clinical scenarios. The files include prompt templates, LLM responses, scoring breakdowns, and annotations. This release supports transparency and reproducibility in the development of AI-assisted veterinary research tools.
DOI: 10.6084/m9.figshare.14872146.v1
title: GAN_CNT

description: Generation of tangible structures using deep learning technique: conditional generative adversarial network (GAN). The four models of conditional GAN were trained by scanning electron microscope (SEM) images of carbon nanotubes with different magnifications. Trained models stored in this file can generate virtual structure of carbon nanotube at arbitrary composition.
DOI: 10.6084/m9.figshare.3512180.v1
title: Appendix H. A table showing chi-square values from regression analysis to determine the ability of habitat values and road density to predict moose pellet presence on transects.

description: A table showing chi-square values from regression analysis to determine the ability of habitat values and road density to predict moose pellet presence on transects.
DOI: 10.15468/dl.dmnrq4
title: Occurrence Download

description: A dataset containing 1488942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is WildNet - Queensland Wildlife Data",
 "Geometry POLYGON((111.12952 -33.14214,181.87048 -33.14214,181.87048 -4.85786,111.12952 -4.85786,111.12952 -33.14214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
 }
 ]
}

 The dataset includes 1488942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013488-250525065834625/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/ef2s5
title: Data and materials for propensity to cheat scale

description: The repository contains SPSS data, consent form and questionnaire
DOI: 10.6084/m9.figshare.12369209.v2
title: 84K_genome.zip

description: <i>Populus alba</i> × <i>P. glandulosa</i> clone 84K is widely cultivated and used as a model tree in the molecular research of woody plants because it is very easy for gene transformation. In this study, we performed PacBio sequencing and assembled the genome with a size of 781.36 Mb (mega base).
DOI: 10.15468/dl.qztuvd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "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 ((-0.0352 28.8496,-9.0352 28.8496,-9.0352 19.8496,-0.0352 19.8496,-0.0352 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013493-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.23513478.v5
title: <b>The Alien Flora of Australia (AFA), a unified Australian national dataset on plant invasion</b>

description: Biological invasions are a major threat to Australia. Information on alien flora in Australia is collated independently by different jurisdictions, which has led to inconsistencies at the national level, hampering efficient management. To harmonise different information sources, we present the Alien Flora of Australia (AFA), a nationally unified dataset. To create the AFA, we developed an R script that compares existing data sources (the Australian Plant Census and state and territory censuses), identifies mismatches among them and integrates the information into unified invasion statuses at the national scale. The AFA follows the taxonomy and nomenclature adopted for the Australian Plant Census, introduction status and impact of plants known to occur in Australia. The up-to-date information presented in this dataset can aid early warning of alien species invasions, facilitate decision-making at different levels, and biosecurity at national scale. The associated script is ready to be implemented into new versions of the AFA with updated releases of any of the data sources, streamlining future efforts to track of alien flora across Australia. Individuals who use these data for publication may cite the data papers associated with it:<br>Martín-Forés, I., Guerin, G.R., Lewis, D., Gallagher, R.V., Vilà, M., Catford, J.A., Pauchard, A. & Sparrow, B. (2023) <b>The Alien Flora of Australia (AFA), a unified Australian national dataset on plant invasion. </b><i>Nature Scientific Data </i>(accepted)<b>Towards integrating and standardising information on plant invasions across Australia</b><br>Martín-Forés, I., Guerin, G.R., Lewis, D., Gallagher, R.V., Vilà, M., Catford, J.A., Pauchard, A. & Sparrow, B. <i>Neobiota </i>(under review). Preprint at https://doi.org/10.32942/X23C70 (2023)
DOI: 10.6084/m9.figshare.28926749.v1
title: INM317 Design Justice Course Work, 2025: Move Fast, Break Hearts. Emotional AI Companions: The Hidden Costs of Careless Innovation

description: This zine critically explores the emotional harms of AI companion platforms through the lens of Design Justice. Focusing on the 2024 cases of Sewell Setzer and J.F., it examines how platforms like Character.AI use emotionally immersive design to simulate care while avoiding accountability. Drawing on public reports, academic sources, and fictionalised chat excerpts, the zine highlights how persuasive interfaces, sycophantic AI, and neoliberal values intersect to produce systems that exploit vulnerability. It calls for a justice-oriented redesign that centres safety, consent, and emotional responsibility in emerging technologies.
DOI: 10.6084/m9.figshare.1555748.v1
title: THE HIDDEN SEXUALITY OF ALEXANDRIUM MINUTUM: AN EXAMPLE OF OVERLOOKED SEX IN DINOFLAGELLATES

description: "fcs" files
DOI: 10.6084/m9.figshare.24010353.v1
title: Fast.genomics comparative genome browser: 2023 release

description: This is an archive of the 2023 release of http://fast.genomics.lbl.gov, a fast comparative genome browser for diverse bacteria and archaea.fast_code_Aug2023.tar.gz contains the source code, which is also available at github. See SETUP for installation instructions and lib/neighbor.sql for the database schema.Some of the code depends on Perl libraries from the PaperBLAST code base. These are archived in PaperBLAST_lib.tar.gz and should be exploded into ../PaperBLAST/ to create the ../PaperBLAST/lib directory. They are also available from github.fast_main_May2023.tar.gz contains the main database, with one representative genome for each of 6,377 genera. neighbor.db is the SQLite3 database and neighbor.faa.gz has the protein sequences. Put these files in the data/ directory. You can build the mmseqs database with:gunzip data/neighbor.faa.gz<br>mmseqs createdb data/neighbor.faa data/mmseqsdb --dbtype 1<br>mmseqs createindex data/mmseqsdb /tmp -k 6The sub-databases, with additional genomes for each taxonomic order, can be downloaded here or here. The tarball contains a directory for each sub-database; these subdirectories should go in the data/ directory. After installing the main database, you can build the clustered BLAST+ database for each sub-database's cluster with:for sub in `sqlite3 data/neighbor.db 'select prefix FROM SubDb;'`;<br>do gunzip data/$sub/cluster.faa.gz<br>makeblastdb -in data/$sub/cluster.faa -dbtype prot -out data/$sub/cluster.faa.plusdb<br>doneOr, to download the the sub-database for a specific order, visit the fast.genomics web site, search for that order, switch to the sub-database, and see downloads section at the bottom of the main page.
DOI: 10.6084/m9.figshare.1540679.v1
title: List of software tool portals

description: List of software tool portals
DOI: 10.6084/m9.figshare.1566710.v2
title: Identification of commonly expressed exoproteins and proteolytic cleavage events by proteomic mining of clinically-relevant UK isolates of Staphylococcus aureus

description: Supplementary Table 4 - Proteins in Database as published in <em>Microbial Genomics</em> in the following article: 'Identification of commonly expressed exoproteins and proteolytic cleavage events by proteomic mining of clinically-relevant UK isolates of Staphylococcus aureus' [DOI: 10.1099/mgen.0.000049]
DOI: 10.6084/m9.figshare.19785292.v5
title: lynx dataset.xls

description: Raw data
DOI: 10.14469/hpc/15231
title: S7O NBO7 Wiberg G = -2862.316903 DDG = 0.0 (iso-axial isomer)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15234
title: S7ONH NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15237
title: S7I(+) axial iso G = -3083.645566

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15238
title: S7I(+) eq iso G = -3083.641301

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15242
title: S5, G = -1990.809883

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15223
title: S7 Cs G = -2787.152555 (+⅛ S8 = G = -3,185.31795425 DG= +3.29; S8, G = -3185.323194 /8 = -398.16539925)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15229
title: S7O NBO7 Wiberg G = -2862.313025 DG = +2.43 (axial isomer)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15230
title: S7O NBO7 Wiberg G = -2862.305814 DG = +6.96 (equatorial isomer)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15232
title: S7O NBO7 Wiberg G = -2862.311034 DG = +3.68 (iso-equatorial isomer)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15233
title: S7O NBO7 Wiberg G = (iso-axial isomer) Def2-QZVPP

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15236
title: S7I(+) ax G = -3083.654991

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15239
title: S7I(+) eq G = -3083.648860

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15240
title: S9, NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15241
title: S11, NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15244
title: Se7, Cs symmetry, NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15245
title: Se7, no symmetry NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15246
title: O7, Cs symmetry, NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15253
title: O5, NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15258
title: O6 NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15259
title: O6 NBO C2, G = -450.664220

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15260
title: S6, D2, NBO7 G = -2388.966504 DG = +12.25

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/15261
title: S6, D3d, NBO7 G =-2388.986031

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.26955676.v1
title: ODP 1143 上的 K/Al 比值、Hf 同位素和粘土矿物含量

description: We collected splits from 1886 samples at 10 cm intervals for K and Al measurement. These samples were retrieved from ODP Site 1143, characterized by a core sediment composed of homogeneous hemipelagic fine-grained terrigenous materials and biogenic nannofossil carbonate ooze. Among these samples, 37 were earmarked for Hf isotope analysis, and 184 were allocated for clay mineral analysis. We determined the age of each sample through interpolation, utilizing an astronomically calibrated timescale from the same hole(Tian et al., 2002). All samples were dried at 60 ℃ in an oven and ~4 g samples were used and crushed into powder &lt;200 mesh for K and Al measurements. The concentrations of K and Al were determined by X-ray fluorescence (XRF) using an Axios advanced PW4400. All analyses were conducted under the control of standards with relative standard deviation less than 5 %. To analyze Hf isotopes, the organic matter and carbonates from the sample were individually removed using excess hydrogen peroxide (30%) and 1 M acetic acid for 8 h. Then 100 mg of the sample was dissolved in a HF–HNO3 acid mixture at 120 °C for more than 72 h on a hot plate. Once dissolved, established ion exchange procedures were employed. The Hf isotopic compositions were determined using a Neptune plus (Thermo Finnigan) multicollector inductively-coupled plasma mass spectrometry (MC-ICP-MS). Clay minerals were identified by X-ray diffraction (XRD) on oriented mounts of decalcified clay-sized particles (&lt;2 μm). The deflocculation of clays was performed by successive washing with distilled water after decarbonation with 1 M acetic acid. XRD spectra were obtained using a Rigaku D/max-rA diffractometer with Cu-Kα radiation, a voltage of 40 kV, and an intensity of 25 mA. Samples were scanned with the goniometer from 3° to 36° 2θ under air-dried conditions. Identification of clay minerals was made mainly according to the position of the (001) series of basal reflections on the XRD spectra.
DOI: 10.6084/m9.figshare.24438079.v1
title: Data for "A Critical Assessment of Electronic Structure Descriptors for Predicting Perovskite Catalytic Properties"

description: This Figshare repository contains datasets used or produced from the study "A Critical Assessment of Electronic Structure Descriptors for Predicting Perovskite Catalytic Properties" by Ryan Jacobs, Jian Liu, Harry Abernathy, and Dane Morgan (to be published) (2023).
DOI: 10.6084/m9.figshare.11267822.v1
title: METAPHORS AND COMPARISONS THAT TEACH TO TEACH:THE REASON AND THE IDENTITY OF PEDAGOGY IN TEACHERS’ GUIDES (1873-1909)

description: Abstract Would pedagogical manuals be closer to a book or a recipe? Taking this question as a starting point, this article analyzes five titles published between 1873 and 1909 - Compêndio de pedagogia by Antônio Marciano da Silva Pontes (1873) Pedagogia e metodologia by Camillo Passalacqua (1887), Lições de pedagogia by Valentim Magalhães (1900), Compêndio de pedagogia by Dario Vellozo (1907), and Tratado de metodologia by Felisberto de Carvalho (1909). By exploring the references to pedagogy in those texts, their reasons and identities, we observe that it is sometimes referred to as science, and sometimes as art. Moreover, through the analysis of the metaphors used in the teachers’ guides, it is possible to identify the images from which pedagogical knowledges are defined and presented as reading material for the teaching practice.
DOI: 10.6084/m9.figshare.c.3640184_d1.v1
title: Additional file 1: Table S1. of Proteomic analysis of quail calcified eggshell matrix: a comparison to chicken and turkey eggshell proteomes

description: This table is derived from the MaxQuant output table ProteinGroups and contains the complete list of identified proteins/protein groups including the ones that we did not accept after application of criteria described in Materials and Methods. This table also contains additional data such as the complete set of accession numbers forming one group, the distribution of peptides among the 20 PAGE sections analyzed separately, the calculated molecular weight of each entry, the iBAQ intensity and the percentages calculated from it. (XLSX 265Â kb)
DOI: 10.6084/m9.figshare.24954810.v1
title: Simulation results for "Mantle serpentinization of subducting plate are controlled by combined effect of plate age and bending curvature"

description: Display_data.m is a Matlab script for displaying the flexure simulation result.flexure_simulations.zip contains simulated flexure results for 15 trench-crossing profiles.In tha .mat fileCurv2: plate bending curvature along the profileox: distance from the trench axisThe other variables are intermediate parameters and can be ignoredoz: topography observationw: simulated flxure result<br>
DOI: 10.6084/m9.figshare.11369352.v2
title: genotypes of f2 chicken data

description: genotypes of f2 chicken
DOI: 10.6084/m9.figshare.5987341.v1
title: Mycobacterium tuberculosis variations list

description: A merged vcf file of over 100 M. tuberculosis isolates that serves as representation of variation across the pathogen population.
DOI: 10.6084/m9.figshare.1297750.v1
title: Historical Photogrammetry - Bird's photos and digital reconstruction

description: This dataset contains the scanned in photographs taken by R.T. Bird in 1946 prior to the excavation of the Paluxy River Chase Sequence. This data accompanies the publication:<br>Falkingham PL, Bates KT, Farlow JO (2014) Historical Photogrammetry: Bird's Paluxy River Dinosaur Chase Sequence Digitally Reconstructed as It Was prior to Excavation 70 Years Ago. PLoS ONE 9(4): e93247. doi:10.1371/journal.pone.0093247
DOI: 10.6084/m9.figshare.21711500.v1
title: TableS6.xlsx

description: <strong>Table S6.</strong> METABOLIC table: Full genomic content of the 3 isolates
DOI: 10.6084/m9.figshare.24236197.v1
title: GNSS data and model inputs for the postseismic deformation in the southern Korean Peninsula after the 2011 Tohoku earthquake

description: GNSS data and model inputs for the manuscript titled "Lithospheric heterogeneity revealed by postseismic deformations in the southern Korean Peninsula induced by the 2011 Tohoku-Oki earthquake" and prepared by Sungho Lee, Eunseo Choi, Minkyung Son, Seok-Goo Song, and Demián Gómez.
DOI: 10.6084/m9.figshare.12585626.v1
title: Raw data Analysis of anticollagenase an IC50 value.xlsx

description: Data Analysis Activity Anti-Collagenase Of Rosa damascene Petals and Receptacles<br> Anti-Collagenase Activity Of Rosa Damascene Petals And Receptacles<br> IC<sub>50</sub> Value Of The Anti-Collagenase Activity Of Petals And Receptacles<br>
DOI: 10.15468/dl.mh3ztz
title: Occurrence Download

description: A dataset containing 10828781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NSW BioNet Atlas",
 "Geometry POLYGON((104.02334 -44.98425,178.97666 -44.98425,178.97666 -15.01575,104.02334 -15.01575,104.02334 -44.98425))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 10828781 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013479-250525065834625/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.22735568.v1
title: data of fig6, fig9, fig10, fig12, fig13, fig14, fig15 and fig18

description: normal wake distribution , wake nonuniformity, cavitation fluctuating pressure
DOI: 10.6084/m9.figshare.13611296.v2
title: Aquatic methane flux database

description: This database consists of methane fluxes and ancillary data compiled from the literature for aquatic ecosystems including rivers and streams, lakes, ponds and reservoirs, estuaries, mangroves, saltmarshes, seagrasses, tidal flats, aquaculture ponds, continental shelfs, and summarises previous published freshwater wetlands, rice cultivation (Saunois et al 2020) and slope and open ocean (Weber et al. 2019).
DOI: 10.6084/m9.figshare.27093856.v2
title: 三、沙棘基因组数据

description: 这里包含雄<i>Hippophae gyantsensis</i>、雌性 <i>Hippophae salicifolia</i> 和雄性 <i>Hippophae salicifolia</i>。雄性<i>河马唾</i>包括两组单倍型数据，hap1 和 hap2。<br>
DOI: 10.6084/m9.figshare.19617936.v1
title: raw data for Nature Communications

description: Electrochemical tests' data of Ni-Zn and Zn-air batteries
DOI: 10.6084/m9.figshare.28395569.v3
title: Supplementary Data 3

description: MetaGOmics output files include: a readme file, MetaGOmics results from analysis of resilient vs. susceptible coral proteins identified at timepoint 1, MetaGOmics results from analysis of resilient vs. susceptible coral proteins identified at timepoint 2.
DOI: 10.6084/m9.figshare.8057141.v1
title: Supplementary Material for: Sex-Specific Effects of Stress on Mood-Related Gene Expression

description: Women are twice as likely as men to be diagnosed with major depressive disorder (MDD). Recent studies report distinct molecular changes in depressed men and women across mesocorticolimbic brain regions. However, it is unclear which sex-related factors drive distinct MDD-associated pathology. The goal of this study was to use mouse experimental systems to investigate sex-specific mechanisms underlying the distinct molecular profiles of MDD in men and women. We used unpredictable chronic mild stress to induce an elevated anxiety-/depressive-like state and “four core genotypes” (FCG) mice to probe for sex-specific mechanisms. As predicted, based on previous implications in mood, stress impacted the expression of several dopamine-, GABA-, and glutamate-related genes. Some of these effects, specifically in the prefrontal cortex, were genetic sex-specific, with effects in XX mice but not in XY mice. Stress also impacted gene expression differently across the mesocorticolimbic circuit, with increased expression of mood-related genes in the prefrontal cortex and nucleus accumbens, but decreased expression in basolateral amygdala. Our results suggest that females are sensitive to the effects of chronic stress, partly due to their genetic sex, independent of gonadal hormones. Furthermore, these results point to the prefrontal cortex as the node in the mesocorticolimbic circuitry with the strongest female-specific effects.
DOI: 10.6084/m9.figshare.22331161.v1
title: Survey on Accounting Students from 251 respondents

description: This data contains survey results about financial literacy, financial behavior, and entrepreneurial motivation from accounting students in West Java, Indonesia.