cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e221123
title: National Survey of Children's Health 2023

description: The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.
DOI: 10.3886/e221123v1
title: National Survey of Children's Health 2023

description: The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.
DOI: 10.15468/dl.uhfes5
title: Occurrence Download

description: A dataset listing the 18 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "Geometry POLYGON((0 52.5,0.1 52.5,0.1 52.6,0 52.6,0 52.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 18 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000886-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7yz75
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Finland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingCountry is Finland",
 "VerbatimScientificName is canis lupus"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000889-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.16145
title: Dataset for: How to Promote Emotional Intelligence among University Students: a Research Synthesis

description: Emotional intelligence (EI) training is increasingly relevant for students as a vulnerable group prone to stress, anxiety, and depression. The diversity of models upon which the trainings are based, the content of the featured units, and the broad spectrum of existing measures call for systematization and providing a landscape of existing training. We conducted a systematic review in such databases as Web of Science, Scopus, ERIC, Educational Source, and APA PsychArticles and included 49 (quasi)-experimental studies in the analysis. The findings indicate the need for more theoretically grounded EI training programs for university students, the scarcity of ability-based and other-rater measures, and the need for better alignment between models, content, and measures. Future research could move in the direction of setting quality benchmarks for EI training and investigating which kinds of models and content are more appropriate for specific population groups.
DOI: 10.15468/dl.a2zwkt
title: Occurrence Download

description: A dataset containing 38757 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bufotes viridis (Laurenti, 1768)"
 ]
}

 The dataset includes 38757 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000903-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vfzvj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Pritzelago alpina subsp. auerswaldii (Willk.) Greuter & Burdet",
 "Year 1975-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000891-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14946414
title: Household air pollution health impact assessment for Nigeria

description: This dataset quantifies the household air pollution health impacts at the state level in Nigeria in 2018 to accompany the manuscript 

An estimation of the health and climatic impacts of household biomass consumption across Nigeria in 2018

DOI 10.1088/2752-5309/adb875
DOI: 10.5281/zenodo.14946415
title: Household air pollution health impact assessment for Nigeria

description: This dataset quantifies the household air pollution health impacts at the state level in Nigeria in 2018 to accompany the manuscript 

An estimation of the health and climatic impacts of household biomass consumption across Nigeria in 2018

DOI 10.1088/2752-5309/adb875
DOI: 10.5281/zenodo.14945900
title: Code Availability for "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning"

description: Code related to the paper "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning", R.K. Jeelaa, G. Tosato, et al., 7-dim parameter study of Ni/GDC anode in Solid Oxide Fuel Cells.

Files:



conda environment: environment.yml

KadiStudio workflow: study_workflow_bayesian_oracle.flow

Extra python scripts: processing_scripts.zip
DOI: 10.5281/zenodo.14945899
title: Code Availability for "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning"

description: Code related to the paper "Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning", R.K. Jeelaa, G. Tosato, et al., 7-dim parameter study of Ni/GDC anode in Solid Oxide Fuel Cells.

Files:



conda environment: environment.yml

KadiStudio workflow: study_workflow_bayesian_oracle.flow

Extra python scripts: processing_scripts.zip
DOI: 10.5281/zenodo.14945988
title: GEOLAB_FoundEx
DOI: 10.5281/zenodo.14945989
title: GEOLAB_FoundEx
DOI: 10.5281/zenodo.12538746
title: Compiled bulk rock uranium and thorium concentrations in serpentinites and altered oceanic crust

description: The dataset includes a compilation of published uranium and thorium concentrations for bulk rock serpentinite samples organized by tectonic setting. All references are included in the file.
DOI: 10.5281/zenodo.14592489
title: Metagenomics of germfree Olfactory receptor 56-deficient and WT mice transplanted with fecal matter from female SPF mice and of untransplanted SPF mice

description: Metagenomics (16S-V4 region) of Olfactory receptor 56-deficient and WT male and female germfree mice transplanted with fecal matter from female SPF mice. Amplicon sequencing of genomic DNA samples from large and small intestine of those germfree mice was performed using the Earth Microbiome Protocol, for the V4 region and using the primer pair 515F-806R.
DOI: 10.5281/zenodo.14592490
title: Metagenomics of germfree Olfactory receptor 56-deficient and WT mice transplanted with fecal matter from female SPF mice and of untransplanted SPF mice

description: Metagenomics (16S-V4 region) of Olfactory receptor 56-deficient and WT male and female germfree mice transplanted with fecal matter from female SPF mice. Amplicon sequencing of genomic DNA samples from large and small intestine of those germfree mice was performed using the Earth Microbiome Protocol, for the V4 region and using the primer pair 515F-806R.
DOI: 10.5281/zenodo.14593368
title: DF_LM_002 Toxoplasma gondii infection of C57Bl6/J and olf56-/-

description: Female and male mice C57Bl6/J and olf56-/- (5 per group) were subjected to intraperitoneal infection with Toxoplasma Gondii tachyzoites. Survival, weight and disease score data were collected.
DOI: 10.5281/zenodo.14593369
title: DF_LM_002 Toxoplasma gondii infection of C57Bl6/J and olf56-/-

description: Female and male mice C57Bl6/J and olf56-/- (5 per group) were subjected to intraperitoneal infection with Toxoplasma Gondii tachyzoites. Survival, weight and disease score data were collected.
DOI: 10.5281/zenodo.14946438
title: Compiled bulk rock uranium, thorium and loss on ignition (LOI) concentrations in serpentinites and altered oceanic crust

description: The dataset includes a compilation of published uranium, thorium and loss on ignition (LOI) concentrations for bulk rock serpentinite samples organized by tectonic setting. All references are included in the file.
DOI: 10.5281/zenodo.14946445
title: Modelling the interaction of regularity and morphological structure: the case of Russian verb inflection

description: Data extrated from a trained TSOM with Russian verb forms - as related to the paper "Modelling the interaction of regularity and morphological structure: the case of Russian verb inflection" 2020, Lingue e Linguaggio.

The main focus of this paper is to investigate how aspects of morphological regularity may have an impact on early stages of word processing,  prior to full lexical access. Here I explore the interaction of regularity and  morphological structure by using a computational simulation of the process of learning Russian verb forms, without any morpho-syntactic or morphosemantic additional information. With a recurrent variant of self-organising memories, namely a Temporal Self-Organising Map, or TSOM, experimental results allow an investigation of the impact of incremental learning and online processing principles on paradigm organisation, by assessing the di5erential impact of several aspects of regularity, ranging from formal transparency and predictability to allomorphy, on the processing/learning behaviour in a connectionist framework. The proposed analysis suggests a performance-oriented account of in5ectional regularity in morphology, whereby perception of morphological structure is not the by-product of the design of the human word processor, with rules separated from exceptions, but rather an emergent property of the dynamic self-organisation of stored lexical representations, dependent on the adaptive processing history of in5ected word forms, intrinsically graded and probabilistic.
DOI: 10.5281/zenodo.14946446
title: Modelling the interaction of regularity and morphological structure: the case of Russian verb inflection

description: Data extrated from a trained TSOM with Russian verb forms - as related to the paper "Modelling the interaction of regularity and morphological structure: the case of Russian verb inflection" 2020, Lingue e Linguaggio.

The main focus of this paper is to investigate how aspects of morphological regularity may have an impact on early stages of word processing,  prior to full lexical access. Here I explore the interaction of regularity and  morphological structure by using a computational simulation of the process of learning Russian verb forms, without any morpho-syntactic or morphosemantic additional information. With a recurrent variant of self-organising memories, namely a Temporal Self-Organising Map, or TSOM, experimental results allow an investigation of the impact of incremental learning and online processing principles on paradigm organisation, by assessing the di5erential impact of several aspects of regularity, ranging from formal transparency and predictability to allomorphy, on the processing/learning behaviour in a connectionist framework. The proposed analysis suggests a performance-oriented account of in5ectional regularity in morphology, whereby perception of morphological structure is not the by-product of the design of the human word processor, with rules separated from exceptions, but rather an emergent property of the dynamic self-organisation of stored lexical representations, dependent on the adaptive processing history of in5ected word forms, intrinsically graded and probabilistic.
DOI: 10.5281/zenodo.12608887
title: Compiled mineral uranium and thorium concentrations in serpentinites and iron oxides

description: This dataset includes mineral (serpentine, carbonate, olivine, orthopyroxene, clinopyroxene, bruce, tremolite, magnetite, hematite, goethite) uranium and thorium concentrations and the associated publication references.
DOI: 10.5281/zenodo.14946496
title: Compiled mineral uranium and thorium concentrations in serpentinites and iron oxides

description: This dataset includes mineral (serpentine, carbonate, olivine, orthopyroxene, clinopyroxene, brucite, tremolite, perovskite, magnetite, hematite, goethite) uranium and thorium concentrations and the associated publication references.
DOI: 10.15468/dl.sjq8rm
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alectra avensis (Benth.) Merr."
 ]
}

 The dataset includes 160 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000905-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/22971a911a8a64a720ac0726f327e030
title: Natural Regeneration of Puerto Rican Tropical Dry Forest Sites with Limited Burn History, Guánica Forest, 2012

description: This dataset documents the natural regeneration of tropical dry forest sites with limited burn history in Guánica Forest, Puerto Rico, following fire disturbance. Featuring a 29-year chronosequence, the dataset encompasses both short-term (2–5 months) and long-term (2–29 years) recovery, alongside mature forest control sites (including forest sites containing native grass). Data collection was conducted between May and August 2012 and focuses on woody tree species only.
 The dataset includes tree census data from seven sites (chrono_census.csv), recording species identity, stem diameter, aboveground biomass destruction, and resprouting dynamics. Additional data include species mean trait values, such as relative bark thickness and specific leaf area, to examine relationships with post-fire resprouting (chrono_traits.csv), and a species abundance matrix for evaluating community composition shifts over time (chrono_ndmsmatrix.csv).
 Field data were collected from circular 100 m² plots randomly placed at each site, with all woody plants tagged and identified. Stem diameters (≥1 cm) were measured at breast height (DBH) or ground height (DGH) in new-burn sites. Tree mortality was assessed, and aboveground biomass loss (0–100%) was estimated in new-burn sites. Resprouting was also quantified in short-term regeneration sites in mid-August 2012. In long-term sites, tree height was measured for the five tallest individuals.
 The dataset is relevant for researchers investigating tropical dry forest dynamics, fire ecology, and regeneration processes in Caribbean forest ecosystems. The dataset is complete and not ongoing.
DOI: 10.5281/zenodo.14945984
title: Norwegian Biographies

description: This contains the first version of a few select (unverified) biography transcriptions from which systematic data is extracted.
DOI: 10.5281/zenodo.14945985
title: Norwegian Biographies

description: This contains the first version of a few select (unverified) biography transcriptions from which systematic data is extracted.
DOI: 10.17043/oden-artofmelt-2023-water-vapor-isotopes-1
title: Water vapor isotopic (δ¹⁸O, δ²H) observations from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.5284/1126042
title: Site Data from an Archaeological Evaluation at Sydena, Lambs Lane, Lawshall, Suffolk, November to December 2020

description: This collection consists of images, text, vector graphics and site records from an archaeological evaluation by Colchester Archaeological Trust, of land west of Sydena, Lambs Lane, Lawshall, Suffolk, from November to December 2020. Three of the seven layers formed the general stratigraphy of the site (the topsoil, subsoil and natural clay), while the remainder were associated with or in close proximity to a metalled surface that sloped down to the north of the site. These layers contained finds of an 18th-19th century date, but the presence of earlier, residual, finds dating to the prehistoric, Roman and medieval periods suggests a continuity of occupation on, or in close proximity, to the site.
DOI: 10.15468/dl.ypkyw3
title: Occurrence Download

description: A dataset containing 323995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achillea ptarmica L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 323995 records from 785 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000882-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14942409
title: Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

description: The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abies lasiocarpa), glandular birch (Betula glandulosa), and quaking aspen (Populus tremuloides). The ROIs correspond to WorldView-3 image data obtained from Maxar, collected on July 21, 2020, with 0% cloud cover and an off-nadir angle of 16.8 degrees. WV-3 data include a panchromatic (black-and-white) band with 31 cm spatial resolution and eight multispectral bands with 1.24 m resolution: coastal blue (400-450 nm), blue (450-510nm), green (510-580 nm), yellow (585-625 nm), red (630-690 nm), red edge (705-745 nm), near-infrared 1 (N-IR1, 770-895 nm), and near-infrared 2 (N-IR2, 860-1040 nm). Details on orthorectification and atmospheric correction can be seen in the attendant paper. The dataset also includes a 10 m digital elevation model (DEM) from the U.S. Geological Survey EROS Data Center, interpolated to 1.24 m resolution using a cubic spline resampling method. 

The image data were used to train convolutional neural networks (CNNs) to do pixel-based species classification. The CNN inputs were image chips (patches), each centered on an ROI pixel. The data are therefore provided in the form of these image patches. Additionally, a csv file is provided with mean radiance values for each ROI polygon for each multispectral WV-3 band with species labels. 

These data accompany a paper titled "Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset", under review in the Biogeosciences special issue, "Treeline ecotones under global change: linking spatial patterns to ecological processes". Authors include 

Laurel A. Sindewald1, Ryan Lagerquist2, Matthew D. Cross3, Theodore A. Scambos4, Peter J. Anthamatten5, Diana F. Tomback1

1 Department of Integrative Biology, University of Colorado Denver, Denver, 80204, USA

2 Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, 80521, USA 

3 Department of Geography and the Environment, University of Denver, Denver, 80208, USA

4 Earth Science and Observation Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, 80309, USA

5 Department of Geography and Environmental Sciences, University of Colorado Denver, Denver, 80204, USA
DOI: 10.5281/zenodo.14942410
title: Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

description: The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abies lasiocarpa), glandular birch (Betula glandulosa), and quaking aspen (Populus tremuloides). The ROIs correspond to WorldView-3 image data obtained from Maxar, collected on July 21, 2020, with 0% cloud cover and an off-nadir angle of 16.8 degrees. WV-3 data include a panchromatic (black-and-white) band with 31 cm spatial resolution and eight multispectral bands with 1.24 m resolution: coastal blue (400-450 nm), blue (450-510nm), green (510-580 nm), yellow (585-625 nm), red (630-690 nm), red edge (705-745 nm), near-infrared 1 (N-IR1, 770-895 nm), and near-infrared 2 (N-IR2, 860-1040 nm). Details on orthorectification and atmospheric correction can be seen in the attendant paper. The dataset also includes a 10 m digital elevation model (DEM) from the U.S. Geological Survey EROS Data Center, interpolated to 1.24 m resolution using a cubic spline resampling method. 

The image data were used to train convolutional neural networks (CNNs) to do pixel-based species classification. The CNN inputs were image chips (patches), each centered on an ROI pixel. The data are therefore provided in the form of these image patches. Additionally, a csv file is provided with mean radiance values for each ROI polygon for each multispectral WV-3 band with species labels. 

These data accompany a paper titled "Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset", under review in the Biogeosciences special issue, "Treeline ecotones under global change: linking spatial patterns to ecological processes". Authors include 

Laurel A. Sindewald1, Ryan Lagerquist2, Matthew D. Cross3, Theodore A. Scambos4, Peter J. Anthamatten5, Diana F. Tomback1

1 Department of Integrative Biology, University of Colorado Denver, Denver, 80204, USA

2 Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, 80521, USA 

3 Department of Geography and the Environment, University of Denver, Denver, 80208, USA

4 Earth Science and Observation Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, 80309, USA

5 Department of Geography and Environmental Sciences, University of Colorado Denver, Denver, 80204, USA