cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0212359.10fu
title: SH0212359.10FU

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/sh0212360.10fu
title: SH0212360.10FU

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: 10.5281/zenodo.14906746
title: Cosmogenic  3He in Olivines from Rivière des Remparts Sediments, La Réunion (France)

description: This dataset contains the cosmogenic ³He measurements for two sediment samples analyzed in the article "Evidence for Erosional Efficiency of Extreme Precipitation Events at a Multi-Decadal Time Scale, JGR Earth Surface." The (³He/⁴He)crush and (³He/⁴He)melt ratios represent the helium isotope ratios measured by crushing and melting, respectively. Ra is the ³He/⁴He ratio normalized to the atmospheric ratio of 1.39 × 10⁻⁶. Reported uncertainties are 1σ, and uncertainties in ³He/⁴He ratios and He concentrations were computed based on the reproducibility of standards and uncertainties in blank correction. [⁴He]melt represents the ⁴He concentration measured from melting olivines. [⁴He]radio corresponds to the radiogenic ⁴He produced over 1.9 × 10⁵ years (the average rock age across the drainage area). [³He]c represents the concentration of cosmogenic ³He, calculated as [³He]c = [³He]melt - [³He]magmatic, where [³He]magmatic = [⁴He]magmatic × (³He/⁴He)crush, and [⁴He]magmatic = [⁴He]melt - [⁴He]radio. For both samples, the nucleogenic ³He component is negligible (<2 × 10⁻³ at/g).
DOI: 10.5281/zenodo.14907713
title: AMPERE Summary Plot Movies (2021-Mar)

description: 2021-Mar AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14907714
title: AMPERE Summary Plot Movies (2021-Mar)

description: 2021-Mar AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.txfkg4
title: Occurrence Download

description: A dataset containing 9033 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 9033 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000695-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bq3x2
title: Occurrence Download

description: A dataset containing 2628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-92.46961 18.65855,-92.46725 18.60907,-92.45429 18.58963,-92.43662 18.55959,-92.43486 18.52425,-92.4272 18.49893,-92.40658 18.4617,-92.36889 18.4268,-92.34237 18.39609,-92.2991 18.37515,-92.23908 18.37934,-92.19721 18.40726,-92.24606 18.55522,-92.29073 18.66688,-92.30329 18.69341,-92.35354 18.73389,-92.43171 18.74924,-92.47498 18.71016,-92.50429 18.69061,-92.46961 18.65855))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Animalia, Plantae)",
 "Year 1980-2025"
 ]
}

 The dataset includes 2628 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000696-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95hw74
title: Occurrence Download

description: A dataset containing 10211 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USBombus, contemporary survey data of North American bumble bees (Hymenoptera, Apidae, Bombus) distributed in the United States"
 ]
}

 The dataset includes 10211 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000697-250221090833381/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.28462295
title: Peptide level analysis of all spider .fasta derived results in support of this study

description: This file contains all peptide level analyses which were too large to upload with data submission.
DOI: 10.15468/dl.qmb5j5
title: Occurrence Download

description: A dataset containing 174077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Italy",
 "DatasetKey is one of (Naturalis Biodiversity Center (NL) - Botany, Herbarium Horti Botanici Pisani (PI), Sistema Museale di Ateneo, Università di Pisa, Observation.org, Nature data from around the World, Wikiplantbase #Italia, Wikiplantbase #Liguria, Wikiplantbase #Toscana, Wikiplantbase #Emilia-Romagna)",
 "Geometry POLYGON((9.62101 44.4068,9.62101 43.5088,10.83501 43.5088,10.83501 44.4068,9.62101 44.4068))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 174077 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000698-250221090833381/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.26342392
title: <b>An </b><b>LMI </b><b>Approach to Solve Interval Power Flow Problem </b><b>Under Polytopic </b><b>Renewable Resources Uncertainty</b>

description: Adding renewable energies to a power system, results in an uncertain system where the usual power flow approaches cannot be exploited. In the literature, uncertain power flow with interval uncertainties called Interval Power Flow (IPF) is mostly solved using Monte Carlo Simulation (MCS). However, MCS is too time-consuming and does not solve the problem for the whole domain of uncertainty. In this paper, an approach is proposed to formulate the IPF as a convex feasibility problem. To attain this goal, the PF problem is written in the form of Bilinear Matrix Inequalities. Then, it is proved that to guarantee the validity of IPF for the whole range of renewable energy changes, it is enough to solve the matrix inequalities in the corner points of the uncertain space. Then, Inside-Ellipsoids Outside-Sphere model is applied to the IPF model resulting in a convex feasibility problem plus a non-convex quadratic constraint which is later relaxed to achieve an LMI problem. The final problem is solved by one of the off-the-shelf solvers and a robust operating point for the IPF problem is obtained. The approach is tested for various case studies and the results approve its efficacy compared to the existing method.
DOI: 10.6084/m9.figshare.28462327
title: Sample-specific learning of lymphovascular invasion with heterogeneous spatial patterns

description: Lymphovascular invasion (LVI) represents one of the earliest stages of metastasis. This article is motivated by using the multiplex immunofluorescence imaging data for identification of LVI that can improve diagnosis of early breast cancer prior to metastasis. One unique aspect for this type of data is that individual-level imaging are taken at various locations depending on where the biopsy was located on the breast. Thus, there exists substantial spatial heterogeneity between the images. We present a novel sample-specific learning framework for l1-penalized logistic regression to aid accurate LVI classification in real time. We derive finite sample guarantees for our proposed estimator in this paper and present a computationally efficient algorithm for translation. The finite sample performance for the proposed method is assessed via intensive simulation studies. Using images generated from the Stanford cohort, we rigorously assess the LVI classification performance with both internal and external validation and demonstrate high concordance with pathologist labeling.
DOI: 10.6084/m9.figshare.28462327.v1
title: Sample-specific learning of lymphovascular invasion with heterogeneous spatial patterns

description: Lymphovascular invasion (LVI) represents one of the earliest stages of metastasis. This article is motivated by using the multiplex immunofluorescence imaging data for identification of LVI that can improve diagnosis of early breast cancer prior to metastasis. One unique aspect for this type of data is that individual-level imaging are taken at various locations depending on where the biopsy was located on the breast. Thus, there exists substantial spatial heterogeneity between the images. We present a novel sample-specific learning framework for l1-penalized logistic regression to aid accurate LVI classification in real time. We derive finite sample guarantees for our proposed estimator in this paper and present a computationally efficient algorithm for translation. The finite sample performance for the proposed method is assessed via intensive simulation studies. Using images generated from the Stanford cohort, we rigorously assess the LVI classification performance with both internal and external validation and demonstrate high concordance with pathologist labeling.
DOI: 10.6084/m9.figshare.28462333
title: A New Projection Pursuit Index for Big Data

description: Visualization of extremely large datasets, whether in static or dynamic form, poses a significant challenge due to the limitations of most traditional methods in handling big-data problems. To address this challenge, a novel visualization approach for big data is proposed based on Projection Pursuit, Grand and Guided Tours, and Data Nuggets methods. The aim of this new methodology is to discover hidden structures such as clusters, outliers, and other nonlinear structures within large datasets. The Guided Tour, a dynamic graphical tool for high-dimensional data, integrates Projection Pursuit and Grand Tour techniques to present a dynamic sequence of low-dimensional projections obtained by Projection Pursuit index functions to navigate the data space. While various Projection Pursuit indices have been developed in the past, computational constraints arise when applying the original Guided Tour approach to big-data scenarios. A new PP index is developed to be computable for big data, with the help of a data compression method called “Data Nuggets” that reduces large datasets while maintaining the original data structure. The effectiveness of the proposed methodology is demonstrated on simulated datasets. A big data application is presented to illustrate the new method in the real world. The development of static and dynamic graphical tools based on the proposed Projection Pursuit index holds promise for detecting nonlinear structures within big-data contexts, offering valuable insights for big-data analysis.
DOI: 10.6084/m9.figshare.28462333.v1
title: A New Projection Pursuit Index for Big Data

description: Visualization of extremely large datasets, whether in static or dynamic form, poses a significant challenge due to the limitations of most traditional methods in handling big-data problems. To address this challenge, a novel visualization approach for big data is proposed based on Projection Pursuit, Grand and Guided Tours, and Data Nuggets methods. The aim of this new methodology is to discover hidden structures such as clusters, outliers, and other nonlinear structures within large datasets. The Guided Tour, a dynamic graphical tool for high-dimensional data, integrates Projection Pursuit and Grand Tour techniques to present a dynamic sequence of low-dimensional projections obtained by Projection Pursuit index functions to navigate the data space. While various Projection Pursuit indices have been developed in the past, computational constraints arise when applying the original Guided Tour approach to big-data scenarios. A new PP index is developed to be computable for big data, with the help of a data compression method called “Data Nuggets” that reduces large datasets while maintaining the original data structure. The effectiveness of the proposed methodology is demonstrated on simulated datasets. A big data application is presented to illustrate the new method in the real world. The development of static and dynamic graphical tools based on the proposed Projection Pursuit index holds promise for detecting nonlinear structures within big-data contexts, offering valuable insights for big-data analysis.
DOI: 10.15468/dl.6bug99
title: Occurrence Download

description: A dataset containing 11480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeorestes cinereus (Palisot de Beauvois, 1796)"
 ]
}

 The dataset includes 11480 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000701-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arnbm8
title: Occurrence Download

description: A dataset containing 5894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 6441aff3-344f-486e-a4a2-f506c3bcb1ee",
 "TaxonKey is Iriartea deltoidea Ruiz & Pav."
 ]
}

 The dataset includes 5894 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000703-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1310090501-eng
title: Health indicator statistics, annual estimates

description: Health indicator statistics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.
DOI: 10.15468/dl.6y5h5s
title: Occurrence Download

description: A dataset containing 1237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachinotus blochii (Lacepède, 1801)"
 ]
}

 The dataset includes 1237 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000704-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1310090501-fra
title: Statistiques d'indicateurs de santé, estimations annuelles

description: Statistiques d'indicateurs de la santé, estimations annuelles, selon le groupe d'âge et le sexe, Canada (sauf les territoires) et provinces.
DOI: 10.5281/zenodo.14907920
title: R scripts and data for article "Nestling condition of a grassland bird is not associated with food availability in restored grasslands" (Kraus et al.)

description: R scripts and data for article "Nestling condition of a grassland bird is not associated with food availability in restored grasslands" (Kraus et al.).  Data are in Excel format (.xlsx) and are referenced (called for) in the uploaded R scripts.
DOI: 10.5281/zenodo.14907921
title: R scripts and data for article "Nestling condition of a grassland bird is not associated with food availability in restored grasslands" (Kraus et al.)

description: R scripts and data for article "Nestling condition of a grassland bird is not associated with food availability in restored grasslands" (Kraus et al.).  Data are in Excel format (.xlsx) and are referenced (called for) in the uploaded R scripts.
DOI: 10.25318/1310090601-eng
title: Health indicator statistics, annual estimates, by household income quintile and highest level of education

description: Health indicator statistics, annual estimates, by household income quintile and highest level of education, Canada (excluding territories) and provinces.
DOI: 10.25318/1310090601-fra
title: Statistiques d'indicateurs de la santé, estimations annuelles, selon le quintile de revenu du ménage et le plus haut niveau de scolarité du ménage

description: Statistiques d'indicateurs de la santé, estimations annuelles, selon le quintile de revenu du ménage et le plus haut niveau de scolarité du ménage, Canada (sauf les territoires) et provinces.
DOI: 10.15468/dl.9kcefm
title: Occurrence Download

description: A dataset containing 737286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.45997 5.54687,-75.64941 5.14608,-75.27054 5.05645,-74.90588 5.08947,-74.70224 5.16966,-74.68803 5.53744,-74.99586 5.66941,-75.3179 5.6647,-75.45997 5.54687))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 737286 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000699-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1310092001-eng
title: Selected indicators of dental insurance coverage, by age group and gender

description: This table allows users to explore the latest data related to dental insurance coverage in Canada.
DOI: 10.15468/dl.26yxr5
title: Occurrence Download

description: A dataset containing 405663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-12-27",
 "EventDate is less than or equal to 2025-01-26",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 405663 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000702-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/1310092001-fra
title: Indicateurs sélectionnés de couverture d'assurance dentaire, selon le groupe d'âge et le genre

description: Ce tableau permet aux utilisateurs d'explorer les dernières données relatives à la couverture de l'assurance dentaire au Canada.
DOI: 10.6073/pasta/a502aa6df0af7c798532fe5c4aa03d29
title: Soil nitrogen availability vs. acidification: effects on soil respiration, heterotrophic respiration, and soil physicochemical properties in mixed temperate forests in central New York, USA (2019-2022)

description: In 2011, an experimental nitrogen x pH manipulation study was initiated in mixed temperate forests in central New York, USA to disentangle the often-confounded roles of nitrogen (N) and soil pH in driving various ecosystem processes. This data package contains soil physicochemical properties (soil pH, resin available nitrogen), soil temperature, in situ soil respiration, and heterotrophic respiration measured from laboratory incubations of soils collected from experimental plots. Soil pH was measured both pre-treatment (2009-2010) and after 8 and 11 years of experimental treatment. All other properties were measured between 9 and 12 years after treatment initiation.
DOI: 10.5281/zenodo.11262279
title: Bilateral integration in somatosensory cortex is controlled by behavioral relevance

description: Sensory perception naturally requires processing stimuli from both sides of the body. Yet, how neurons bind stimulus features across the hemispheres to create a unified perceptual experience remains unknown. To address this question, we performed large-scale recordings from neurons in both somatosensory cortices (S1) while mice shared information between their hemispheres and discriminated between two categories of bilateral stimuli. When expert mice touched stimuli associated with reward, they moved their whiskers with greater bilateral symmetry. During this period, synchronous spiking and enhanced spike-field coupling emerged between the hemispheres. This coordinated activity was absent in stimulus-matched naïve animals, indicating that interhemispheric (IH) binding was controlled by a goal-directed, internal process. In S1 neurons, the addition of ipsilateral touch primarily facilitated the contralateral, principal whisker response. This facilitation primarily emerged for reward-associated stimuli and was lost on trials where expert mice failed to respond. Taken together, these results reveal a novel state-dependent logic underlying bilateral integration in S1, where stimulus binding and facilitation are controlled by behavioral relevance.
DOI: 10.5281/zenodo.14449787
title: Bilateral integration in somatosensory cortex is controlled by behavioral relevance

description: Sensory perception naturally requires processing stimuli from both sides of the body. Yet, how neurons bind stimulus features across the hemispheres to create a unified perceptual experience remains unknown. To address this question, we performed large-scale recordings from neurons in both somatosensory cortices (S1) while mice shared information between their hemispheres and discriminated between two categories of bilateral stimuli. When expert mice touched stimuli associated with reward, they moved their whiskers with greater bilateral symmetry. During this period, synchronous spiking and enhanced spike-field coupling emerged between the hemispheres. This coordinated activity was absent in stimulus-matched naïve animals, indicating that interhemispheric (IH) binding was controlled by a goal-directed, internal process. In S1 neurons, the addition of ipsilateral touch primarily facilitated the contralateral, principal whisker response. This facilitation primarily emerged for reward-associated stimuli and was lost on trials where expert mice failed to respond. Taken together, these results reveal a novel state-dependent logic underlying bilateral integration in S1, where stimulus binding and facilitation are controlled by behavioral relevance.