cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s34zrm
title: Occurrence Download

description: A dataset containing 4660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, Japan, Korea, Republic of, China, Korea (Democratic People’s Republic of), Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula ermanii"
 ]
}

 The dataset includes 4660 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050019-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy9ntx
title: Occurrence Download

description: A dataset containing 1061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Russian Federation, Korea (Democratic People’s Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Corylus mandshurica"
 ]
}

 The dataset includes 1061 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050021-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17916531
title: English interiors : 865 - 871
DOI: 10.5281/zenodo.17916530
title: English interiors : 865 - 871
DOI: 10.15468/dl.erkxnw
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-95.69666 -17.08488,-60.30334 -17.08488,-60.30334 -2.91512,-95.69666 -2.91512,-95.69666 -17.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ismene amancaes"
 ]
}

 The dataset includes 85 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050024-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hma7ef
title: Occurrence Download

description: A dataset containing 8058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-5.725337 40.201374, -5.727482 40.241940, -5.780927 40.241940, -5.778761 40.201374, -5.725337 40.201374))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8058 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050023-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s6x29
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.3.8_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthophora californica",
 "Year 2024-2024"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050025-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqpncs
title: Occurrence Download

description: A dataset containing 233644 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 2025-11-17",
 "EventDate is less than or equal to 2025-12-17",
 {
 "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)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 233644 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050004-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvnj8z
title: Occurrence Download

description: A dataset containing 2876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Japan, Russian Federation, Korea, Republic of, China, Korea (Democratic People’s Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulmus laciniata"
 ]
}

 The dataset includes 2876 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050026-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5dn4086s
title: MassIVE MSV000100202 - Proteome-based identification and validation of NXPE3 in childhood acute lymphoblastic leukaemia
title: Background: Acute lymphoblastic leukaemia (ALL) is the most common cancer in children. Proteomics, supported by mass spectrometry and bioinformatics, investigates cancer biology and contributes to translational research. Purpose of the study: To identify the plasma proteome profile of children across different risk groups of ALL. Neurexophilin and PC-esterase family, member 3 (NXPE3), was validated. The protein-protein interactions (PPI) of NXPE3 were evaluated with bioinformatics analyses. Material and methods: Plasma samples from 15 patients with B-ALL standard risk (SR), B-ALL high risk (HR), and T-ALL high risk (HR), were analyzed using liquid chromatography with tandem mass spectrometry. NXPE3 protein was validated using ELISA. To compare the NXPE3 values across groups, the Kruskal-Wallis test was applied. A p-value &lt; 0.05 was considered significant. STRING database was used for PPI.
DOI: 10.5281/zenodo.17916535
title: धार دهار Dhār (ज़िला धार) Madhya Pradesh. Fragment of a Prakrit poem recording the defeat of Karnāṭaka, TEI.

description: धार دهار Dhār (ज़िला धार) Madhya Pradesh. Fragment of a Prakrit poem recording the defeat of Karnāṭaka, TEI.
description: SIDDHAM IN060006
DOI: 10.17632/5cv7whvjg2.3
title: Gelatin in dog diet

description: This is the raw data on the comparative effects of gelatin and hydrolyzed gelatin from by-products as partial protein substitutes on canine health and gut microbiota.
DOI: 10.17632/xptxhtzfzm
title: Maternal supplementation of resistant starch type 4 improves energy balance, reprograms gut microbiota and protects offspring against diet-induced obesity

description: Our central hypothesis was that maternal RS-4 supplementation reshapes the maternal gut microbiota during gestation and lactation, and that these shifts contribute to programming offspring microbiota structure and obesity risk. To test this, we profiled maternal fecal microbiota on gestational days 8 and 14, and cecal microbiota in dams and offspring at weaning and adulthood using 16S rRNA sequencing. In mothers, RS-4 produced a distinct microbial signature characterized by increased Bacteroidota and reduced Firmicutes, alongside stable alpha-diversity over time, contrasting with the high-fat diet (HFD), which showed a pronounced decline in richness and evenness as gestation progressed. Beta-diversity analyses revealed that RS-4 generated community structures that were significantly different from both LFD and HFD, indicating robust microbial remodeling. In the cecum, RS-4 dams again exhibited higher Bacteroidaceae abundance and reduced Lachnospiraceae relative to HFD, demonstrating consistent fiber-driven shifts across gut compartments.
Offspring microbiota were markedly different from their dams, but both prenatal diet and lactation environment shaped their microbial communities. Internal (biological) offspring from RS-4 mothers displayed greater phylogenetic diversity than their dams and distinct community structures compared with LFD and HFD groups. Cross-fostering revealed strong lactational imprinting: pups nursed by HFD dams—regardless of birth mother, developed microbial communities that diverged significantly from their biological siblings. Conversely, RS-4 foster pups maintained similar richness and evenness to RS-4 internal controls, although community composition still shifted, indicating that RS-4 primarily influences lineage selection rather than overall diversity. Collectively, these findings demonstrate that RS-4 promotes a stable, saccharolytic maternal microbiota and partially transmits this ecological advantage to offspring, while lactation remains a dominant window through which microbiota structure and thus metabolic programming is determined.
DOI: 10.17632/xptxhtzfzm.1
title: Maternal supplementation of resistant starch type 4 improves energy balance, reprograms gut microbiota and protects offspring against diet-induced obesity

description: Our central hypothesis was that maternal RS-4 supplementation reshapes the maternal gut microbiota during gestation and lactation, and that these shifts contribute to programming offspring microbiota structure and obesity risk. To test this, we profiled maternal fecal microbiota on gestational days 8 and 14, and cecal microbiota in dams and offspring at weaning and adulthood using 16S rRNA sequencing. In mothers, RS-4 produced a distinct microbial signature characterized by increased Bacteroidota and reduced Firmicutes, alongside stable alpha-diversity over time, contrasting with the high-fat diet (HFD), which showed a pronounced decline in richness and evenness as gestation progressed. Beta-diversity analyses revealed that RS-4 generated community structures that were significantly different from both LFD and HFD, indicating robust microbial remodeling. In the cecum, RS-4 dams again exhibited higher Bacteroidaceae abundance and reduced Lachnospiraceae relative to HFD, demonstrating consistent fiber-driven shifts across gut compartments.
Offspring microbiota were markedly different from their dams, but both prenatal diet and lactation environment shaped their microbial communities. Internal (biological) offspring from RS-4 mothers displayed greater phylogenetic diversity than their dams and distinct community structures compared with LFD and HFD groups. Cross-fostering revealed strong lactational imprinting: pups nursed by HFD dams—regardless of birth mother, developed microbial communities that diverged significantly from their biological siblings. Conversely, RS-4 foster pups maintained similar richness and evenness to RS-4 internal controls, although community composition still shifted, indicating that RS-4 primarily influences lineage selection rather than overall diversity. Collectively, these findings demonstrate that RS-4 promotes a stable, saccharolytic maternal microbiota and partially transmits this ecological advantage to offspring, while lactation remains a dominant window through which microbiota structure and thus metabolic programming is determined.
DOI: 10.5281/zenodo.17916533
title: Data for: stimulant medications affect arousal and reward, not attention networks

description: This repository archives data from the manuscript, _Stimulant medications affect arousal and reward, not attention networks_ as published in _Cell_: https://doi.org/10.1016/j.cell.2025.11.039

Data are provided as FC matrices (t-values) and as brain maps reduced by taking the root mean square value of each row in the FC matrix. Data are provided for the ABCD study and for Healthy Adults (Siegel Psilocybin study). Contact Benjamin Kay <benjamin.kay@wustl.edu> with questions.
DOI: 10.5281/zenodo.17916532
title: Data for: stimulant medications affect arousal and reward, not attention networks

description: This repository archives data from the manuscript, _Stimulant medications affect arousal and reward, not attention networks_ as published in _Cell_: https://doi.org/10.1016/j.cell.2025.11.039

Data are provided as FC matrices (t-values) and as brain maps reduced by taking the root mean square value of each row in the FC matrix. Data are provided for the ABCD study and for Healthy Adults (Siegel Psilocybin study). Contact Benjamin Kay <benjamin.kay@wustl.edu> with questions.
DOI: 10.15468/dl.tuqaht
title: Occurrence Download

description: A dataset containing 2448340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to 20.0",
 "DecimalLongitude is less than or equal to 25.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 2448340 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f845jt
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.57583 -13.90760,-69.14621 -13.90760,-69.14621 -5.20687,-81.57583 -5.20687,-81.57583 -13.90760))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ismene amancaes"
 ]
}

 The dataset includes 85 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050027-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eemzms
title: Occurrence Download

description: A dataset containing 1044012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Corvidae"
 ]
}

 The dataset includes 1044012 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050009-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17915294
title: Sensory processing sensitivity and its associations with guilt, shame, self-esteem, and neuroticism

description: Background

Sensory Processing Sensitivity (SPS) is a trait linked to deeper processing of stimuli and heightened emotional reactivity. These characteristics suggest a potential link to more intense self-conscious emotions. The objective of this study was to investigate the associations between SPS, feelings of guilt, shame, and self-esteem, and to test whether these relationships are independent of the influence of neuroticism.

Methods

We conducted a cross-sectional study using data from an online survey of Czech adults (n = 1012; 49.3 ± 16.7 years, 50.4% female). Participants completed measures of SPS (Sensory Processing Sensitivity Questionnaire, SPSQ; Highly Sensitive Person Scale), feelings of guilt and shame (Guilt and Shame Experience Scale), self-esteem (Rosenberg Self-Esteem Scale), and neuroticism (the neuroticism subscale of the Big Five Inventory). The associations were examined using linear and logistic regression models, with adjustments for neuroticism and key demographic variables.

Results

Linear regression analyses showed that higher SPS was significantly associated with increased feelings of guilt and shame, and with lower self-esteem. After adjustment for neuroticism, the association between SPS and self-esteem was no longer significant (β ≈ 0.03, p > 0.05), whereas the β-coefficients for feelings of guilt and shame were reduced but remained significant. Logistic regression analyses comparing low, medium, and high SPS groups and, separately, the equivalent levels on the Sensory Sensitivity subscale of the SPSQ, indicated that highly sensitive individuals were more likely to report feelings of guilt alone and combined guilt and shame, with odds ratios (ORs) ranging from 4.42 (95% CI 2.17–8.99, p < 0.001) to 6.38 (95% CI 3.08–13.25, p < 0.001). No significant associations emerged between SPS and feelings of shame alone or low self-esteem. Analyses using alternative SPS measures yielded broadly similar results, with the Highly Sensitive Person Scale showing even stronger associations with feelings of guilt and shame, while again no effect was found for self-esteem.

Conclusions

Highly sensitive individuals appear to be more prone to experiencing heightened feelings of guilt and, to a lesser degree, shame. However, the initially observed negative association between SPS and self-esteem was no longer significant after neuroticism was included in the model.

Note: The primary repository referenced in the published article is available at OSF: https://osf.io/nc7dr/
DOI: 10.5281/zenodo.17915293
title: Sensory processing sensitivity and its associations with guilt, shame, self-esteem, and neuroticism

description: Background

Sensory Processing Sensitivity (SPS) is a trait linked to deeper processing of stimuli and heightened emotional reactivity. These characteristics suggest a potential link to more intense self-conscious emotions. The objective of this study was to investigate the associations between SPS, feelings of guilt, shame, and self-esteem, and to test whether these relationships are independent of the influence of neuroticism.

Methods

We conducted a cross-sectional study using data from an online survey of Czech adults (n = 1012; 49.3 ± 16.7 years, 50.4% female). Participants completed measures of SPS (Sensory Processing Sensitivity Questionnaire, SPSQ; Highly Sensitive Person Scale), feelings of guilt and shame (Guilt and Shame Experience Scale), self-esteem (Rosenberg Self-Esteem Scale), and neuroticism (the neuroticism subscale of the Big Five Inventory). The associations were examined using linear and logistic regression models, with adjustments for neuroticism and key demographic variables.

Results

Linear regression analyses showed that higher SPS was significantly associated with increased feelings of guilt and shame, and with lower self-esteem. After adjustment for neuroticism, the association between SPS and self-esteem was no longer significant (β ≈ 0.03, p > 0.05), whereas the β-coefficients for feelings of guilt and shame were reduced but remained significant. Logistic regression analyses comparing low, medium, and high SPS groups and, separately, the equivalent levels on the Sensory Sensitivity subscale of the SPSQ, indicated that highly sensitive individuals were more likely to report feelings of guilt alone and combined guilt and shame, with odds ratios (ORs) ranging from 4.42 (95% CI 2.17–8.99, p < 0.001) to 6.38 (95% CI 3.08–13.25, p < 0.001). No significant associations emerged between SPS and feelings of shame alone or low self-esteem. Analyses using alternative SPS measures yielded broadly similar results, with the Highly Sensitive Person Scale showing even stronger associations with feelings of guilt and shame, while again no effect was found for self-esteem.

Conclusions

Highly sensitive individuals appear to be more prone to experiencing heightened feelings of guilt and, to a lesser degree, shame. However, the initially observed negative association between SPS and self-esteem was no longer significant after neuroticism was included in the model.

Note: The primary repository referenced in the published article is available at OSF: https://osf.io/nc7dr/
DOI: 10.15468/dl.w55xf9
title: Occurrence Download

description: A dataset containing 1002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-4.668910 40.396797, -4.670466 40.432638, -4.717719 40.432638, -4.716146 40.396797, -4.668910 40.396797))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1002 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050028-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb4xar
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Korea (Democratic People’s Republic of), Russian Federation, Korea, Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sorbus pohuashanensis"
 ]
}

 The dataset includes 542 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050029-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7as7b3
title: Occurrence Download

description: A dataset containing 4335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sorbus sibirica"
 ]
}

 The dataset includes 4335 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050030-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6s449dpwv6
title: DAB-Sky Multitemporal Drone Dataset, 2025

description: The DAB-Sky dataset comprises 39,827 multitemporal aerial images that integrate both real and synthetic drone imagery for use in drone detection, segmentation, and airspace monitoring research. Real-world images were collected using DSLR and 2K industrial surveillance cameras positioned at varying distances and altitudes. To capture illumination diversity, image acquisition was conducted during four distinct time periods: morning, noon, evening, and night. Complementing the real imagery, synthetic images were produced using Blender 3D and Unreal Engine, where drone models were rendered under adjustable lighting conditions, sky environments, and atmospheric scattering. Aerodynamic variations—including pitch shifts of ±25°, roll adjustments of ±20°, and yaw movements of ±30° were incorporated to simulate realistic flight dynamics, alongside additional visual effects such as motion blur, exposure variation, and HDRI-based illumination.
Every image in the dataset is accompanied by two forms of annotations: YOLO-format bounding boxes for object detection tasks and polygon segmentation masks for fine-grained contour analysis. All images were originally recorded at a resolution of 1920×1080 pixels and subsequently standardized to 450×450 pixels to ensure uniformity across the dataset. Through its combination of diverse lighting conditions, varied backgrounds, multiple drone orientations, and dual-domain (real and synthetic) representation, DAB-Sky provides a comprehensive resource suitable for benchmarking drone detection methods, training computer vision models, and supporting research in intelligent airspace surveillance.