cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9g6xbq
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "InstitutionCode is fmnh",
 "InstitutionCode is cas",
 "InstitutionCode is inciva",
 "InstitutionCode is un"
 ]
 },
 "TaxonKey is Mesoheros gephyrus (Eigenmann, 1922)"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070859-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq0t0l
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024695-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnmjnn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005986-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tdp5p
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mandrillus leucophaeus (F.Cuvier, 1807)"
 ]
}

 The dataset includes 73 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070797-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2xamu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polytepalum angolense Suess. & Beyerle"
 ]
}

 The dataset includes 8 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092964-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.artet7
title: Occurrence Download

description: A dataset containing 305208673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Year 1600-2018",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 305208673 records from 1184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024699-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.woqn9s
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020171-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtmy2d
title: Occurrence Download

description: A dataset containing 272356474 species occurrences available in GBIF matching the query:
{
 "CoordinateUncertaintyInMeters" : [
 "is less than or equal to 1000.0"
 ]
}

 The dataset includes 272356474 records from 3477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070818-200613084148143/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.30542690
title: Data and analysis results.

description: Linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli. But does the test accuracy of such predictions identify genuine representational alignment? We addressed this question through a large-scale model-recovery study. Twenty diverse vision models were linearly aligned to 4.5 million behavioral judgments from the THINGS odd-one-out dataset and calibrated to reproduce human response variability. For each model in turn, we sampled synthetic responses from its probabilistic predictions, fitted all candidate models to the synthetic data, and tested whether the data-generating model would re-emerge as the best predictor of the simulated data. Model recovery accuracy improved with training-set size but plateaued below 80%, even at millions of simulated trials. Regression analyses linked misidentification primarily to shifts in representational geometry induced by the linear transformation, as well as to the effective dimensionality of the transformed features. These findings demonstrate that, even with massive behavioral data, overly flexible alignment metrics may fail to guide us toward artificial representations that are genuinely more human-aligned. Model comparison experiments must be designed to balance the trade-off between predictive accuracy and identifiability—ensuring that the best-fitting model is also the right one.
DOI: 10.6084/m9.figshare.30542690.v1
title: Data and analysis results.

description: Linearly transforming stimulus representations of deep neural networks yields high-performing models of behavioral and neural responses to complex stimuli. But does the test accuracy of such predictions identify genuine representational alignment? We addressed this question through a large-scale model-recovery study. Twenty diverse vision models were linearly aligned to 4.5 million behavioral judgments from the THINGS odd-one-out dataset and calibrated to reproduce human response variability. For each model in turn, we sampled synthetic responses from its probabilistic predictions, fitted all candidate models to the synthetic data, and tested whether the data-generating model would re-emerge as the best predictor of the simulated data. Model recovery accuracy improved with training-set size but plateaued below 80%, even at millions of simulated trials. Regression analyses linked misidentification primarily to shifts in representational geometry induced by the linear transformation, as well as to the effective dimensionality of the transformed features. These findings demonstrate that, even with massive behavioral data, overly flexible alignment metrics may fail to guide us toward artificial representations that are genuinely more human-aligned. Model comparison experiments must be designed to balance the trade-off between predictive accuracy and identifiability—ensuring that the best-fitting model is also the right one.
DOI: 10.17617/3.cjinmf
title: Raw data to accompany the paper "Unveiling the scaling laws behind spin-phonon enhanced decorrelation in spin chains"

description: Classical.zip and Quantum.zip : Spin-spin correlation function values, in classical and quantum regimes, algebraic (non-dimerized) and exponential (dimerized) regimes, done with harmonic forces and spin forces (Full) or harmonic forces only (Potential_Only) or fixed at the minimum (Minimum).
description: Uniform_Algebraic : The slopes of the uniform chain used as \alpha_0 depending on the number of points taken for a fit.
description: Summary : Final fits for the exponents and the associated errors for different regimes, parameters and number of points taken for the underlying slopes.
description: Einstein_Classical.zip, Cosine_Classical.zip, Einstein_Quantum.zip, Cosine_Quantum.zip : bondlength distributions used to plot Figure 1 and 2
description: Figure_3_data.zip : data used to plot Figure 3.
description: SM_Fit.zip : forces calculated with RPSSE and RPED used for Figure 1 in the SM
description: SM_Bar.zip : forces and errors over trajectories with RPSSE used for the Figures 2 and 3 in the SM
description: Data_Delta.zip: values and errors for \Delta^2_{sg} and \Delta^2_{sgt} used for Figure 4
description: Data_Bond.zip: values and errors for bondlength distributions used for Figure 5
description: Data_S.zip: values and errors for structure factors used for Figure 6
DOI: 10.15472/bxncap
title: Peces presentes en la colección ictiológica de la Amazonía Colombiana

description: Se presenta un listado taxonómico con las especies de peces colectados e identificados en el marco del proyecto Expedición Colombia BIO al Apaporis, 2018. Dicho compendio cuenta con un total de 222 registros de peces.
DOI: 10.15468/dl.kztqrj
title: Occurrence Download

description: A dataset listing the 3760 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-2.98998 48.13318,-2.99108 48.12933,-2.99116 48.12693,-2.97985 48.08772,-2.98426 48.08724,-2.98332 48.08339,-2.98091 48.07586,-2.98088 48.07572,-2.98091 48.07572,-2.98084 48.07553,-2.97699 48.05647,-2.97768 48.05267,-3.04394 47.93931,-2.54638 47.80691,-2.44702 47.97404,-2.44655 47.97483,-2.42731 48.04335,-2.4303 48.05308,-2.43268 48.07135,-2.43183 48.07144,-2.4327 48.07526,-2.43318 48.07521,-2.43378 48.07981,-2.43384 48.08006,-2.43781 48.09049,-2.43816 48.09908,-2.43823 48.0996,-2.43843 48.10103,-2.43869 48.10282,-2.4389 48.10471,-2.43908 48.1047,-2.44098 48.11781,-2.44101 48.11795,-2.45091 48.1468,-2.45097 48.14691,-2.45172 48.15601,-2.4886 48.33667,-3.0229 48.28677,-2.98998 48.13318)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 3760 records were derived from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018101-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17534679
title: POWER, MORALITY, AND THE AMERICAN DREAM IN THE GODFATHER: A THEMATIC AND PSYCHO-SOCIOLOGICAL ANALYSIS
DOI: 10.5281/zenodo.17534680
title: POWER, MORALITY, AND THE AMERICAN DREAM IN THE GODFATHER: A THEMATIC AND PSYCHO-SOCIOLOGICAL ANALYSIS
DOI: 10.6084/m9.figshare.29801927
title: Supplemental Tables S1-S5

description: Regular aerobic exercise decreases the risk of metabolic diseases, however reduced physical activity may attenuate these beneficial adaptations. This study investigated the influence of a single day of reduced activity on the skeletal muscle transcriptome (RNASeq) and systemic metabolism surrounding an acute bout of aerobic exercise. Utilizing a crossover design, subjects (n=9 [7M, 2F], 24±1y) exercised at 65% VO2max for 60-minutes following a day of reduced activity (IN; 3,581±1,185 steps) and normal activity (A; 11,069±3,631 steps). RNAseq from skeletal muscle biopsies was completed prior to and 4-hours post-exercise. Respiratory gas exchange analysis was completed at 20, 40, and 60 minutes of exercise. Blood samples for select metabolites were collected before, during, and throughout the 4-hour recovery. Inactivity resulted in nine Differentially Expressed Genes (DEG) at rest, while exercise altered 793 and 1,403 genes in A and IN, respectively. Gene set enrichment analysis revealed an interaction of exercise and trial that were related to inflammation, metabolism, cell cycle, and innate immunity. Respiratory exchange ratio (0.93±0.04 vs. 0.91±0.03; p&lt;0.05) and carbohydrate utilization (2.16±0.79 vs. 1.96±0.72 g/min; p=0.09) was higher in the IN vs. A trial at 60-minutes of exercise. Triglycerides were higher in the IN trial (p&lt;0.05),with no differences between trials observed in other measured metabolites. These findings indicate that a single day of reduced physical activity can elicit modest but significant changes in the metabolic and transcriptomic exercise response. Such alterations have implications for exercise guidelines and underscore the importance of controlling for daily step count when assessing exercise responses.
DOI: 10.6084/m9.figshare.29801927.v1
title: Supplemental Tables S1-S5

description: Regular aerobic exercise decreases the risk of metabolic diseases, however reduced physical activity may attenuate these beneficial adaptations. This study investigated the influence of a single day of reduced activity on the skeletal muscle transcriptome (RNASeq) and systemic metabolism surrounding an acute bout of aerobic exercise. Utilizing a crossover design, subjects (n=9 [7M, 2F], 24±1y) exercised at 65% VO2max for 60-minutes following a day of reduced activity (IN; 3,581±1,185 steps) and normal activity (A; 11,069±3,631 steps). RNAseq from skeletal muscle biopsies was completed prior to and 4-hours post-exercise. Respiratory gas exchange analysis was completed at 20, 40, and 60 minutes of exercise. Blood samples for select metabolites were collected before, during, and throughout the 4-hour recovery. Inactivity resulted in nine Differentially Expressed Genes (DEG) at rest, while exercise altered 793 and 1,403 genes in A and IN, respectively. Gene set enrichment analysis revealed an interaction of exercise and trial that were related to inflammation, metabolism, cell cycle, and innate immunity. Respiratory exchange ratio (0.93±0.04 vs. 0.91±0.03; p&lt;0.05) and carbohydrate utilization (2.16±0.79 vs. 1.96±0.72 g/min; p=0.09) was higher in the IN vs. A trial at 60-minutes of exercise. Triglycerides were higher in the IN trial (p&lt;0.05),with no differences between trials observed in other measured metabolites. These findings indicate that a single day of reduced physical activity can elicit modest but significant changes in the metabolic and transcriptomic exercise response. Such alterations have implications for exercise guidelines and underscore the importance of controlling for daily step count when assessing exercise responses.
DOI: 10.15468/dl.ev8zjp
title: Occurrence Download

description: A dataset containing 6048 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LWS herbarium. Vascular plants"
 ]
}

 The dataset includes 6048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018121-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6883
title: namuy_espanish_dataset
DOI: 10.15468/dl.9xhbys
title: Occurrence Download

description: A dataset containing 11295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apteryx",
 "Year 1996-2025"
 ]
}

 The dataset includes 11295 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018122-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywtz3s
title: Occurrence Download

description: A dataset containing 1792309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1792309 records from 1195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018083-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1382725.10fu
title: SH1382725.10FU

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/sh1382727.10fu
title: SH1382727.10FU

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/sh1382728.10fu
title: SH1382728.10FU

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/sh1382730.10fu
title: SH1382730.10FU

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/sh1382734.10fu
title: SH1382734.10FU

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: 10.6084/m9.figshare.24243232.v1
title: Intellectual Transparency at Work

description: This anonymized dataset contains 126 matched worker-supervisor dyads. For workers, data include self-ratings for honesty, love of learning, big five personality traits, intellectual transparency, teamwork, knowledge-withholding, age, gender, and education. For supervisors, data include ratings of the worker's intellectual transparency, job performance, and organizational citizenship, and answers to questions about the supervisor's age and gender. The worker's job type (full-time or part-time), sector, and length of employment are also included.
DOI: 10.6084/m9.figshare.3749190.v1
title: H_cinaedi_Pearson_Matrix.csv

description: For various microaerobic and aerobic culture conditions (9 conditions, 39 total replicates), RNA-seq was performed on Helicobacter cinaedi ATCC BAA-847. For each replicate, RPKM values were calculated for all non-ribosomal ORFs in the genome. Across these experimental replicates, RPKM-based Pearson coefficients were calculated for each gene-gene pair. This file set includes a Pearson matrix summarizing all pairwise values (H_cinaedi_Pearson_Matrix.csv), as well as a matrix of the corresponding P-values for the analysis (Pearson_p_value_matrix.csv). For convenience, an additional file (H_cin_Gene_Summary.xlsx) summarizes the identity of the genes themselves. For additional experimental and analytic details, please refer to manuscript associated with this study.<br>
DOI: 10.7294/19380143.v1
title: Space_Drones_CAD_Files

description: Simple Supporting CAD Files for the SpaceDrones Project<br>
DOI: 10.6084/m9.figshare.23938122.v2
title: Endophthalmitis original database Rondônia Brazil

description: <pre>Original bank endophthalmitis after cataract surgery mutiation in Rondonia Brazil</pre>