cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yrb8z6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus kolombatovici Dulic, 1980",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066332-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14631531
title: dataset_el_papel_de_la_indefinicion_temporal
DOI: 10.5281/zenodo.14631532
title: dataset_el_papel_de_la_indefinicion_temporal
DOI: 10.15468/dl.g9adma
title: Occurrence Download

description: A dataset containing 17586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fucus spiralis L."
 ]
}

 The dataset includes 17586 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066331-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.rkmp3hbr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.m7gnyv
title: Occurrence Download

description: A dataset containing 1977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypsugo savii (Bonaparte, 1837)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1977 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066333-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nran37
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Euterpina acutifrons (Dana, 1847)"
 ]
}

 The dataset includes 495 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066334-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2cgy74nkx3
title: RDR2025

description: This is the data related to the article RDR 2025-006
DOI: 10.17632/2cgy74nkx3.1
title: RDR2025

description: This is the data related to the article RDR 2025-006
DOI: 10.17632/m3ffn9thjg
title: natural isotope data in long-term fertilized grassland

description: Soil chemical properties and natural isotopes values in fertilized topsoil and subsoil
DOI: 10.17632/m3ffn9thjg.2
title: natural isotope data in long-term fertilized grassland

description: Soil chemical properties and natural isotopes values in fertilized topsoil and subsoil
DOI: 10.17632/krfjm5gs26
title: Source data for the manuscript "Programming Host-Machine-Microbe Interaction for Healthcare-Oriented Customized Cross-Species Communication"

description: The source data of photocurrent measurement in this manuscript.
DOI: 10.17632/krfjm5gs26.1
title: Source data for the manuscript "Programming Host-Machine-Microbe Interaction for Healthcare-Oriented Customized Cross-Species Communication"

description: The source data of photocurrent measurement in this manuscript.
DOI: 10.17632/mt6jfkxprj.1
title: BPS: A Demographically Focused Dataset of Handwritten Bangla Primary Script for Early Writer Recognition

description: Bangla handwritten character recognition is challenging due to its large character set, compound forms, and style variations, and existing datasets rarely capture the handwriting of primary-level learners. To fill this gap, the BPS (Bangla Primary Script) dataset was created by collecting 24,420 grayscale images of 50 basic characters (11 vowels, 39 consonants) and 10 digits from 407 students across multiple districts in Bangladesh. The images were normalized to 32×32 pixels, organized into 60 balanced classes, and split into 60% training, 20% validation, and 20% test sets, providing a demographically representative resource for OCR and deep learning applications focused on early learners.
DOI: 10.17632/bjkct6pwx5.2
title: Raman Analysis of WS2 Modes in an Epoxy Matrix
DOI: 10.17632/kvzk5zgnxf
title: Dataset for Data in Brief from Koceila et al (Physicochem analysis of the enzymatically conjugated Pullulan with ferulic acid and the assessment of their antioxidant properties)

description: This dataset provides the raw data from various analyses including fluorescence and UV-visible spectrophotometry, Folin-Ciocalteu assays, size exclusion chromatography with multidetection, antioxidant tests, viscosity measurement and the Rosetta stone sample name. These data allow to plot the different curves.
DOI: 10.17632/kvzk5zgnxf.1
title: Dataset for Data in Brief from Koceila et al (Physicochem analysis of the enzymatically conjugated Pullulan with ferulic acid and the assessment of their antioxidant properties)

description: This dataset provides the raw data from various analyses including fluorescence and UV-visible spectrophotometry, Folin-Ciocalteu assays, size exclusion chromatography with multidetection, antioxidant tests, viscosity measurement and the Rosetta stone sample name. These data allow to plot the different curves.
DOI: 10.15468/dl.udwqvy
title: Occurrence Download

description: A dataset containing 2 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.decimallatitude &gt;= 33.47886
 AND occurrence.decimallatitude &lt;= 45.11646
 AND (occurrence.decimallongitude &gt;= 18.71419 AND occurrence.decimallongitude &lt;= 34.19044)
 AND GBIF_WITHIN('POLYGON ((18.71419 33.90491, 21.61926 34.47856, 28.54079 33.47886, 34.19044 34.71097, 27.71856 42.80791, 19.81259 45.11646, 18.71419 33.90491))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2717948 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2717948 OR CAST(occurrence.kingdomkey AS INTEGER) = 2717948 OR CAST(occurrence.phylumkey AS INTEGER) = 2717948 OR CAST(occurrence.classkey AS INTEGER) = 2717948 OR CAST(occurrence.orderkey AS INTEGER) = 2717948 OR CAST(occurrence.familykey AS INTEGER) = 2717948 OR CAST(occurrence.genuskey AS INTEGER) = 2717948 OR CAST(occurrence.specieskey AS INTEGER) = 2717948)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 2 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055757-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j796j4ykfz
title: Long-term Variation in Lake Ice in a Large Endorheic Lake Experiencing Shrinkage in a Semi-arid Region

description: field data, model, and model results
DOI: 10.17632/j796j4ykfz.4
title: Long-term Variation in Lake Ice in a Large Endorheic Lake Experiencing Shrinkage in a Semi-arid Region

description: field data, model, and model results
DOI: 10.17632/4f7crdvwtw
title: Data for "Effects of salinity on speciation and mobility of potentially toxic elements in soil porewater of estuarine wetlands"

description: Data for "Effects of salinity on speciation and mobility of potentially toxic elements in soil porewater of estuarine wetlands"
DOI: 10.17632/4f7crdvwtw.1
title: Data for "Effects of salinity on speciation and mobility of potentially toxic elements in soil porewater of estuarine wetlands"

description: Data for "Effects of salinity on speciation and mobility of potentially toxic elements in soil porewater of estuarine wetlands"
DOI: 10.17026/ar/ixdk77
title: PAN-00165368 - terra sigillata kom type Drag. 37 (EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00165368&lt;/p&gt;
description: Modified: 2025-10-14T13:01:09+02:00
DOI: 10.5281/zenodo.17960530
title: Datasets for Reduced Upwind Moisture Transport Contributes to Drought in the Agro-Pastoral Ecotone of Northern China
DOI: 10.5281/zenodo.17960531
title: Datasets for Reduced Upwind Moisture Transport Contributes to Drought in the Agro-Pastoral Ecotone of Northern China
DOI: 10.17632/jn5j7gjpzj
title: data for "Science-wide mapping and ranking of institutions based on affiliated authors"

description: This is the supplementary data for the article "Science-wide mapping and ranking of institutions based on affiliated authors". The data provided here is based on the August 2025 data-update for "Updated science-wide author databases of standardized citation indicators": https://elsevier.digitalcommonsdata.com/drafts/btchxktzyw/8.
DOI: 10.17632/jn5j7gjpzj.1
title: data for "Science-wide mapping and ranking of institutions based on affiliated authors"

description: This is the supplementary data for the article "Science-wide mapping and ranking of institutions based on affiliated authors". The data provided here is based on the August 2025 data-update for "Updated science-wide author databases of standardized citation indicators": https://elsevier.digitalcommonsdata.com/drafts/btchxktzyw/8.
DOI: 10.5281/zenodo.17960520
title: Data for: Geometric Descriptors Reveal Social Niche Dynamics in Japanese Macaques

description: This dataset contains individual-level stable isotope data and derived nichemetrics used in the study “Geometric Descriptors Reveal Social Niche Dynamicsin Japanese Macaques”.

The dataset includes raw isotopic measurements (δ13C, δ15N, and δ34S) for eachindividual, along with group identity and sampling year. In addition, itprovides individual-level derived metrics quantifying within-group structurein isotopic niche space, including leave-one-out Mahalanobis distances (Di)and related quantities.

These data were used to estimate isotopic niche regions and to examine temporalchanges in within-group heterogeneity among social groups of Japanesemacaques. All analyses were conducted at the annual scale. Sampling dates arenot provided because date information was not used in the analyses.

This dataset is provided to support reproducibility of the analyses andfigures presented in the associated manuscript and may be reused forcomparative or methodological studies of isotopic niche structure.
DOI: 10.5281/zenodo.17960521
title: Data for: Geometric Descriptors Reveal Social Niche Dynamics in Japanese Macaques

description: This dataset contains individual-level stable isotope data and derived nichemetrics used in the study “Geometric Descriptors Reveal Social Niche Dynamicsin Japanese Macaques”.

The dataset includes raw isotopic measurements (δ13C, δ15N, and δ34S) for eachindividual, along with group identity and sampling year. In addition, itprovides individual-level derived metrics quantifying within-group structurein isotopic niche space, including leave-one-out Mahalanobis distances (Di)and related quantities.

These data were used to estimate isotopic niche regions and to examine temporalchanges in within-group heterogeneity among social groups of Japanesemacaques. All analyses were conducted at the annual scale. Sampling dates arenot provided because date information was not used in the analyses.

This dataset is provided to support reproducibility of the analyses andfigures presented in the associated manuscript and may be reused forcomparative or methodological studies of isotopic niche structure.
DOI: 10.15468/dl.7hsy9r
title: Occurrence Download

description: A dataset containing 524343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.0124 36.74547,123.13377 36.74547,123.13377 41.16514,117.0124 41.16514,117.0124 36.74547))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 524343 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055751-251120083545085/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.14564700
title: Preclinical data sets on osteogenic nanofibrous coated implants

description: Anchoring of endosseous implant through osseointegration continues to be an important clinical need. Here, we describe the development of superior endosseous implant demonstrating enhance osseointegration, achieved through surface modification via coating of osteogenic nanofibres. The randomized bio-composite osteogenic nanofibres incorporating polycaprolactone, gelatin, hydroxyapatite, dexamethasone, beta-glycerophosphate and ascorbic acid were electrospun on titanium implants mimicking bone extracellular matrix and subsequently induced osteogenesis by targeting undifferentiated mesenchymal stem cells present in the peri-implant niche to regenerate osseous tissue. In proof-of-concept experiment on rabbit study models (n = 6), micro-computed tomography (Micro-CT), histomorphometric analysis and biomechanical testing in relation to our novel osteogenic nanofibrous coated implants showed improved results when compared to uncoated controls. Further, no pathological changes were detected during gross examination and necropsy on peri-implant osseous tissues regenerated in response to such coated implants. The findings of the present study confirm that osteogenic nanofibrous coating significantly increases the magnitude of osteogenesis in the peri-implant zone and favours the dynamics of osseointegration.
DOI: 10.6084/m9.figshare.14564700.v8
title: Preclinical data sets on osteogenic nanofibrous coated implants

description: Anchoring of endosseous implant through osseointegration continues to be an important clinical need. Here, we describe the development of superior endosseous implant demonstrating enhance osseointegration, achieved through surface modification via coating of osteogenic nanofibres. The randomized bio-composite osteogenic nanofibres incorporating polycaprolactone, gelatin, hydroxyapatite, dexamethasone, beta-glycerophosphate and ascorbic acid were electrospun on titanium implants mimicking bone extracellular matrix and subsequently induced osteogenesis by targeting undifferentiated mesenchymal stem cells present in the peri-implant niche to regenerate osseous tissue. In proof-of-concept experiment on rabbit study models (n = 6), micro-computed tomography (Micro-CT), histomorphometric analysis and biomechanical testing in relation to our novel osteogenic nanofibrous coated implants showed improved results when compared to uncoated controls. Further, no pathological changes were detected during gross examination and necropsy on peri-implant osseous tissues regenerated in response to such coated implants. The findings of the present study confirm that osteogenic nanofibrous coating significantly increases the magnitude of osteogenesis in the peri-implant zone and favours the dynamics of osseointegration.
DOI: 10.6084/m9.figshare.14564700.v9
title: Preclinical data sets on osteogenic nanofibrous coated implants

description: Anchoring of endosseous implant through osseointegration continues to be an important clinical need. Here, we describe the development of superior endosseous implant demonstrating enhance osseointegration, achieved through surface modification via coating of osteogenic nanofibres. The randomized bio-composite osteogenic nanofibres incorporating polycaprolactone, gelatin, hydroxyapatite, dexamethasone, beta-glycerophosphate and ascorbic acid were electrospun on titanium implants mimicking bone extracellular matrix and subsequently induced osteogenesis by targeting undifferentiated mesenchymal stem cells present in the peri-implant niche to regenerate osseous tissue. In proof-of-concept experiment on rabbit study models (n = 6), micro-computed tomography (Micro-CT), histomorphometric analysis and biomechanical testing in relation to our novel osteogenic nanofibrous coated implants showed improved results when compared to uncoated controls. Further, no pathological changes were detected during gross examination and necropsy on peri-implant osseous tissues regenerated in response to such coated implants. The findings of the present study confirm that osteogenic nanofibrous coating significantly increases the magnitude of osteogenesis in the peri-implant zone and favours the dynamics of osseointegration.
DOI: 10.17026/ar/5hyihu
title: PAN-00180976 - applique of animal figure

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180976&lt;/p&gt;
description: Modified: 2025-10-14T13:32:31+02:00
DOI: 10.15468/dl.vffc5w
title: Occurrence Download

description: A dataset containing 9297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Thalassoma amblycephalum"
 ]
}

 The dataset includes 9297 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/immcwq
title: PAN-00179489 - Solid cross pendant group A3

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00179489&lt;/p&gt;
description: Modified: 2025-09-10T16:07:50+02:00
DOI: 10.5281/zenodo.17960321
title: The Intergenerational Effects of Parental Incarceration

description: This is a replication package for "The Intergenerational Effects of Parental Incarceration", by Grönqvist, Niknami, Palme and Priks
DOI: 10.5281/zenodo.17960322
title: The Intergenerational Effects of Parental Incarceration

description: This is a replication package for "The Intergenerational Effects of Parental Incarceration", by Grönqvist, Niknami, Palme and Priks
DOI: 10.5281/zenodo.17959529
title: B-Wine project dataset

description: The primary objective of the B-WINE project (2023-2024)  was to quantify the effectiveness of biochar in the Tuscan winemaking context, finding confirmation in the improvement of soil and plant fertility, increased sustainability, and improved production through monitored pilot case studies by combining traditional tools with innovative digital agriculture techniques.

The research integrated conventional soil analyses, eco-physiological measurements, and advanced remote sensing techniques to evaluate the effects of biochar on soil properties, vine water status, and productivity across three contrasting soil types in the Chianti Classico region. The main findings demonstrate that biochar significantly improves soil structure, organic carbon content, and water-holding capacity while reducing bulk density and mitigating water stress during critical phenological stages. These improvements translate into enhanced vine physiological resilience and, in some cases, increased yield. This study makes an innovative contribution to sustainable viticulture. This is the first study to evaluate biochar application under full-field conditions across three contrasting soil types, integrating traditional soil and eco-physiological measurements with advanced remote sensing techniques. By combining Sentinel-2 satellite imagery, proximal NIR spectroscopy, and in-field assessments, this study provides a comprehensive, multiscale analysis of the impact of biochar on soil properties, vine water status, and productivity. This integrated approach offers new insights into site-specific strategies for climate-smart management of vineyard.

The dataset contains the raw data collected in three experimental vineyard sites in 2024 from control and treatment (biochar amended) plots , and contains the following data in seved distinct excel files: 



Fluorescence data

Vine production data

pression chamber data

Saturated hydraulic conductivity data

NDVI data

Soil chemical analysis data 

Soil moisture data

Soil spectral signature data
DOI: 10.5281/zenodo.17959530
title: B-Wine project dataset

description: The primary objective of the B-WINE project (2023-2024)  was to quantify the effectiveness of biochar in the Tuscan winemaking context, finding confirmation in the improvement of soil and plant fertility, increased sustainability, and improved production through monitored pilot case studies by combining traditional tools with innovative digital agriculture techniques.

The research integrated conventional soil analyses, eco-physiological measurements, and advanced remote sensing techniques to evaluate the effects of biochar on soil properties, vine water status, and productivity across three contrasting soil types in the Chianti Classico region. The main findings demonstrate that biochar significantly improves soil structure, organic carbon content, and water-holding capacity while reducing bulk density and mitigating water stress during critical phenological stages. These improvements translate into enhanced vine physiological resilience and, in some cases, increased yield. This study makes an innovative contribution to sustainable viticulture. This is the first study to evaluate biochar application under full-field conditions across three contrasting soil types, integrating traditional soil and eco-physiological measurements with advanced remote sensing techniques. By combining Sentinel-2 satellite imagery, proximal NIR spectroscopy, and in-field assessments, this study provides a comprehensive, multiscale analysis of the impact of biochar on soil properties, vine water status, and productivity. This integrated approach offers new insights into site-specific strategies for climate-smart management of vineyard.

The dataset contains the raw data collected in three experimental vineyard sites in 2024 from control and treatment (biochar amended) plots , and contains the following data in seved distinct excel files: 



Fluorescence data

Vine production data

pression chamber data

Saturated hydraulic conductivity data

NDVI data

Soil chemical analysis data 

Soil moisture data

Soil spectral signature data
DOI: 10.5281/zenodo.17671427
title: Peer Support & Academic Performance & Learning Engagement & Moral Delinquency

description: A total of 450 questionnaires were distributed , and 401 were returned. During data entry and screening, 11 invalid questionnaires were excluded, resulting in 390 valid responses.
DOI: 10.57967/hf/7282
title: CaseHOLD_Phi4_Reasoning