cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hfsz4v7bd9.1
title: Fruit and seed morphological dataset of Ormosia macrocalyx Ducke from Tabasco, Mexico

description: The fruit was collected from three mature trees in the municipality of Centro, Tabasco, Mexico, and also from three trees in San Pedro, municipality of Balancán, Tabasco, Mexico. The first site is an urban area and the second site is a living fence. The data recorded here were used to obtain the length and width of the fruits and the number of seeds per fruit. The seeds were quantified in terms of length, width, thickness, number of seeds per kilogram, and mass. These data were used to obtain a Pearson correlation analysis and a principal component analysis.
DOI: 10.17632/t5cnf8krvp
title: "Value Co-Destruction in Food Delivery Apps”

description: Data for: ."Value Co-Destruction in Food Delivery Apps” published by BAR - Brazilian Administration Review - After publication
DOI: 10.17632/t5cnf8krvp.2
title: "Value Co-Destruction in Food Delivery Apps”

description: Data for: ."Value Co-Destruction in Food Delivery Apps” published by BAR - Brazilian Administration Review - After publication
DOI: 10.21233/mfp7-ft36
title: Los Mangos Brick Pit vertebrate fauna dataset

description: Raw data for the Los Mangos Brick Pit vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/4n5n5pptsd
title: Code for "Multivariable Prediction of Postural Sway: Development and Internal Validation of Mixed-Effects Models for COP Velocity and Sway Area"

description: The computational methodology used in the present work employed a fully automated predictive-modeling pipeline implemented in R (version 4.5.1). The workflow followed a split-sample strategy for model development and external validation. A primary execution script orchestrates all steps—from CoP data preprocessing to feature extraction, model training, evaluation, and statistical reporting—ensuring complete reproducibility of the analysis.
DOI: 10.17632/4n5n5pptsd.2
title: Code for "Multivariable Prediction of Postural Sway: Development and Internal Validation of Mixed-Effects Models for COP Velocity and Sway Area"

description: The computational methodology used in the present work employed a fully automated predictive-modeling pipeline implemented in R (version 4.5.1). The workflow followed a split-sample strategy for model development and external validation. A primary execution script orchestrates all steps—from CoP data preprocessing to feature extraction, model training, evaluation, and statistical reporting—ensuring complete reproducibility of the analysis.
DOI: 10.17632/b88khvs6tm
title: Supplementary Table 1 for Low-dose Naltrexone for HHD

description: Supplementary Table 1
DOI: 10.17632/b88khvs6tm.1
title: Supplementary Table 1 for Low-dose Naltrexone for HHD

description: Supplementary Table 1
DOI: 10.21233/twa4-9x49
title: El Bajión (Suchiapa) vertebrate fauna dataset

description: Raw data for the El Bajión (Suchiapa) vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/gcf3f9mwnc
title: Onset and depth of response with abrocitinib versus dupilumab in adults with moderate-to-severe atopic dermatitis, including prominent head-and-neck dermatitis: A post hoc analysis of the head-to-head phase 3 JADE DARE study

description: Supplementary Data
DOI: 10.17632/gcf3f9mwnc.1
title: Onset and depth of response with abrocitinib versus dupilumab in adults with moderate-to-severe atopic dermatitis, including prominent head-and-neck dermatitis: A post hoc analysis of the head-to-head phase 3 JADE DARE study

description: Supplementary Data
DOI: 10.17632/vvm2dpxc4y
title: Eastern Poland border mobility & accommodation dataset (2021–2023)

description: This dataset is a replication package supporting an empirical study of adaptive resilience in a borderland tourism system at the EU’s eastern frontier during the Russian–Ukrainian war. It links daily Polish–Ukrainian border-crossing flows (01 Jan 2022–28 Feb 2023) with monthly accommodation statistics at the county level for Lubelskie and Podkarpackie voivodeships (Eastern Poland) (2021–2022). Using the accommodation data, the package provides a synthetic accommodation-utilisation index (S) combining three components: (i) tourism intensity (Defert index), (ii) foreign-visitor tourism intensity (foreign-visitor Defert index), and (iii) average length of stay. To control for seasonality, the analysis focuses on year-on-year differences for identical months (ΔS = S(2022) – S(2021)) and then aggregates them to mobility stages identified from daily border flows (day-weighted aggregation for boundary months).

Spatial coverage: Eastern Poland (counties in Lubelskie & Podkarpackie).
Temporal coverage: accommodation 2021–2022 (monthly); border crossings 01 Jan 2022–28 Feb 2023 (daily).
Unit of analysis: county–month (accommodation), day (border flows), and stage level (day-weighted aggregates).
Key variables/outputs: Defert (D), foreign-visitor Defert (F), length of stay (L), component z-scores (ZD/ZF/ZL), synthetic index (S), year-on-year change (ΔS), and a Quasi-Residential Index (QRI) capturing the dominance of length-of-stay change relative to intensity components.

Interpretive note: the “foreign-visitor” component (F) is used as a contextual proxy for cross-border, war-related demand, not as a mechanical attribution to a single nationality. In a small number of suppressed/confidentiality-affected cells, simplified handling is applied as described in the methods, which may attenuate changes for very small county markets.

Files included (formatted as PDF-style appendices/tables)

border_crossings.pdf — daily counts of border crossings in both directions (to Poland / to Ukraine), 01 Jan 2022–28 Feb 2023; basis for mobility-stage delineation.

stages_components.pdf — mobility-stage definitions and stage-level aggregates of the synthetic index change and its components (day-weighted across boundary months).

components_of_the_synthetic_index.pdf — monthly county-level components D/F/L, their standardised values (z-scores), and the synthetic index S and year-on-year differences (ΔS) used for spatial-temporal analysis.

Intended use: replication of index construction and staging, spatial heterogeneity analysis (corridors vs peripheries), and comparative applications to other crisis-affected border regions.
DOI: 10.17632/vvm2dpxc4y.1
title: Eastern Poland border mobility & accommodation dataset (2021–2023)

description: This dataset is a replication package supporting an empirical study of adaptive resilience in a borderland tourism system at the EU’s eastern frontier during the Russian–Ukrainian war. It links daily Polish–Ukrainian border-crossing flows (01 Jan 2022–28 Feb 2023) with monthly accommodation statistics at the county level for Lubelskie and Podkarpackie voivodeships (Eastern Poland) (2021–2022). Using the accommodation data, the package provides a synthetic accommodation-utilisation index (S) combining three components: (i) tourism intensity (Defert index), (ii) foreign-visitor tourism intensity (foreign-visitor Defert index), and (iii) average length of stay. To control for seasonality, the analysis focuses on year-on-year differences for identical months (ΔS = S(2022) – S(2021)) and then aggregates them to mobility stages identified from daily border flows (day-weighted aggregation for boundary months).

Spatial coverage: Eastern Poland (counties in Lubelskie & Podkarpackie).
Temporal coverage: accommodation 2021–2022 (monthly); border crossings 01 Jan 2022–28 Feb 2023 (daily).
Unit of analysis: county–month (accommodation), day (border flows), and stage level (day-weighted aggregates).
Key variables/outputs: Defert (D), foreign-visitor Defert (F), length of stay (L), component z-scores (ZD/ZF/ZL), synthetic index (S), year-on-year change (ΔS), and a Quasi-Residential Index (QRI) capturing the dominance of length-of-stay change relative to intensity components.

Interpretive note: the “foreign-visitor” component (F) is used as a contextual proxy for cross-border, war-related demand, not as a mechanical attribution to a single nationality. In a small number of suppressed/confidentiality-affected cells, simplified handling is applied as described in the methods, which may attenuate changes for very small county markets.

Files included (formatted as PDF-style appendices/tables)

border_crossings.pdf — daily counts of border crossings in both directions (to Poland / to Ukraine), 01 Jan 2022–28 Feb 2023; basis for mobility-stage delineation.

stages_components.pdf — mobility-stage definitions and stage-level aggregates of the synthetic index change and its components (day-weighted across boundary months).

components_of_the_synthetic_index.pdf — monthly county-level components D/F/L, their standardised values (z-scores), and the synthetic index S and year-on-year differences (ΔS) used for spatial-temporal analysis.

Intended use: replication of index construction and staging, spatial heterogeneity analysis (corridors vs peripheries), and comparative applications to other crisis-affected border regions.
DOI: 10.21233/1qsq-r151
title: La Simpatía river terrace vertebrate fauna dataset

description: Raw data for the La Simpatía river terrace vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p6nb-gt91
title: La Tejería brick pit vertebrate fauna dataset

description: Raw data for the La Tejería brick pit vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/4t6wshk2sg
title: The common oil shocks and growth in African net importers: new evidence from the Russia-Ukraine energy crisis era

description: This dataset supports research examining how oil price shocks affect economic growth in African net oil-importing countries. The central hypothesis posits that increases in real oil prices expressed in domestic currency to capture both international price movements and exchange rate transmission exert negative effects on real GDP per capita growth through multiple channels: supply-side cost increases, demand-side income transfers to oil exporters, exchange rate depreciation amplification, fiscal crowding-out via energy subsidies, and investment delays due to heightened uncertainty. We employ Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) methodology to account for common exposure to global oil price shocks and regional interdependencies while accommodating heterogeneous country-specific responses.
DOI: 10.17632/4t6wshk2sg.1
title: The common oil shocks and growth in African net importers: new evidence from the Russia-Ukraine energy crisis era

description: This dataset supports research examining how oil price shocks affect economic growth in African net oil-importing countries. The central hypothesis posits that increases in real oil prices expressed in domestic currency to capture both international price movements and exchange rate transmission exert negative effects on real GDP per capita growth through multiple channels: supply-side cost increases, demand-side income transfers to oil exporters, exchange rate depreciation amplification, fiscal crowding-out via energy subsidies, and investment delays due to heightened uncertainty. We employ Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) methodology to account for common exposure to global oil price shocks and regional interdependencies while accommodating heterogeneous country-specific responses.
DOI: 10.21233/4229-ze83
title: Sheepscott water chemistry dataset

description: Raw data for the Sheepscott water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wy0k-4629
title: Sercoeur pollen surface sample dataset

description: Raw data for the Sercoeur pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.3535/yl3-cfa-3g6
title: Psorergatoides Fain, 1959

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.21233/b05f-mh10
title: Vaudéville pollen surface sample dataset

description: Raw data for the Vaudéville pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ska5-qq75
title: Viménil pollen surface sample dataset

description: Raw data for the Viménil pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.j925ak
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa annua",
 "Country is Antarctica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012636-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hekk9r
title: Occurrence Download

description: A dataset containing 7372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa annua",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7372 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012637-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctnj96
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa annua",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012638-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/dhd1-7f81
title: Grandvillers: l'Etang l'Abbé pollen surface sample dataset

description: Raw data for the Grandvillers: l'Etang l'Abbé pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.8bdv8x
title: Occurrence Download

description: A dataset containing 259132 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "Country is one of (Indonesia)"
 ]
}

 The dataset includes 259132 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012596-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/azaf-3c05
title: Grandvillers-Bruyères: La Mine des Eaux pollen surface sample dataset

description: Raw data for the Grandvillers-Bruyères: La Mine des Eaux pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nn2x-gf77
title: Bruyères: Les Baraques pollen surface sample dataset

description: Raw data for the Bruyères: Les Baraques pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6pee-1846
title: Bruyères: La Bergerie pollen surface sample dataset

description: Raw data for the Bruyères: La Bergerie pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9vye-n688
title: Bruyères: La Bergerie 2 pollen surface sample dataset

description: Raw data for the Bruyères: La Bergerie 2 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hgk3-0355
title: Haut de Thiémont pollen surface sample dataset

description: Raw data for the Haut de Thiémont pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.18262255
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115u Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115u Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18262256
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115u Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115u Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.21233/6dnj-4644
title: Haut de Thiémont 2 pollen surface sample dataset

description: Raw data for the Haut de Thiémont 2 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.g9kc4x
title: Occurrence Download

description: A dataset containing 100830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "DatasetKey is one of (Naturalis Biodiversity Center (NL) - Paleontology, AMNH Mammal Collections, Naturalis Biodiversity Center (NL) - Mammalia, NMNH Extant Specimen Records (USNM, US), Western Australian Museum provider for OZCAM, Museums Victoria provider for OZCAM, Australian Museum provider for OZCAM, Collection Mammalia SMF)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 100830 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012630-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/qqmh-7v14
title: Herpelmont pollen surface sample dataset

description: Raw data for the Herpelmont pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.s88h57
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Lycaena virgaureae",
 "Year 2020-2020"
 ]
}

 The dataset includes 407 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012639-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/524d-dq86
title: Champdray: l'Epine pollen surface sample dataset

description: Raw data for the Champdray: l'Epine pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jbpy-wy57
title: Champdray: l'Epine 2 pollen surface sample dataset

description: Raw data for the Champdray: l'Epine 2 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2ts4-sy85
title: Marirose pollen surface sample dataset

description: Raw data for the Marirose pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.