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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ptilinopus roseicapilla (R.Lesson, 1831))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015128-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15575478
title: Supplementary data for "Subanesthetic ketamine alters EEG signal complexity: Implications for treatment stratification in depression"

description: Major depressive disorder, particularly its treatment-resistant form (TRD), poses significant treatment challenges. Ketamine, an N-methyl-d-aspartate receptor antagonist, has shown promise in rapidly alleviating depressive symptoms by influencing neuroplasticity and glutamatergic modulation, which are thought to influence brain activity complexity. In this placebo-controlled study, we examined the effects of subanesthetic doses of intravenous ketamine on EEG signal complexity in 24 MDD patients, 21 of whom had TRD. Treatment response was defined by a ≥ 33 % reduction in Montgomery-Åsberg Depression Rating Scale (MADRS) after ketamine administration. Patients underwent eyes-closed resting state EEG recording pre-, start-, end- and 24 h post-infusion, analyzed for temporospatial and spatiotemporal Lempel-Ziv complexity (LZCT and LZCS). Results indicated that ketamine significantly increased whole-brain LZCT during infusion compared to placebo (sodium chloride 0.9 %) (16.90 % vs. -4.84 %, 95 % CI 4.29 to 39.18, p = 0.017). Elevated LZCT at end-pre was associated with less short-term symptom improvement the following day. Conversely, lower pretreatment occipital LZCT (0.33 vs. 0.46, 95 % CI 0.007 to 0.26, p = 0.040) predicted a favorable response to ketamine, supported by a logistic regression model with an ROC area of 0.75. No significant changes were observed in LZCS, suggesting limited utility as a biomarker. In conclusion, occipital LZCT could serve as an effective predictive biomarker for ketamine's therapeutic effects in MDD, with implications for patients with TRD. This underscores the potential of EEG complexity measures in stratifying treatment and enhancing our understanding of the neural impacts of ketamine in depressive disorders.
DOI: 10.5281/zenodo.15575479
title: Supplementary data for "Subanesthetic ketamine alters EEG signal complexity: Implications for treatment stratification in depression"

description: Major depressive disorder, particularly its treatment-resistant form (TRD), poses significant treatment challenges. Ketamine, an N-methyl-d-aspartate receptor antagonist, has shown promise in rapidly alleviating depressive symptoms by influencing neuroplasticity and glutamatergic modulation, which are thought to influence brain activity complexity. In this placebo-controlled study, we examined the effects of subanesthetic doses of intravenous ketamine on EEG signal complexity in 24 MDD patients, 21 of whom had TRD. Treatment response was defined by a ≥ 33 % reduction in Montgomery-Åsberg Depression Rating Scale (MADRS) after ketamine administration. Patients underwent eyes-closed resting state EEG recording pre-, start-, end- and 24 h post-infusion, analyzed for temporospatial and spatiotemporal Lempel-Ziv complexity (LZCT and LZCS). Results indicated that ketamine significantly increased whole-brain LZCT during infusion compared to placebo (sodium chloride 0.9 %) (16.90 % vs. -4.84 %, 95 % CI 4.29 to 39.18, p = 0.017). Elevated LZCT at end-pre was associated with less short-term symptom improvement the following day. Conversely, lower pretreatment occipital LZCT (0.33 vs. 0.46, 95 % CI 0.007 to 0.26, p = 0.040) predicted a favorable response to ketamine, supported by a logistic regression model with an ROC area of 0.75. No significant changes were observed in LZCS, suggesting limited utility as a biomarker. In conclusion, occipital LZCT could serve as an effective predictive biomarker for ketamine's therapeutic effects in MDD, with implications for patients with TRD. This underscores the potential of EEG complexity measures in stratifying treatment and enhancing our understanding of the neural impacts of ketamine in depressive disorders.
DOI: 10.15468/dl.bwqsax
title: Occurrence Download

description: A dataset containing 52133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Osyris L."
 ]
}

 The dataset includes 52133 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008876-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14kors8
title: Grain-size analysis of sediment samples collected in the nearshore zone offshore of Marconi Beach, Wellfleet, MA, December 9, 2024

description: The U.S. Geological Survey (USGS) Woods Hole Coastal and Marine Science Center deployed a nanopod to collect measurements of winter wave conditions directly offshore of Marconi Beach in Wellfleet, MA. Supplementary sediment samples were collected to characterize grain size. Marconi Beach is the site of ongoing measurements of wave runup, and this field work provides information on the incident waves and water levels that are ultimately responsible for wave runup on the beach. Maps of subaerial topography and nearshore bathymetry were made to augment the wave and runup measurements. These observations will allow us to test and validate models of wave shoaling and transformation and generation of wave runup. The larger objective of this work is to provide validation and indicate needed improvements for the Total Water Level and Coastal Change forecasts made publicly available in real time by the USGS. These forecasts provide information that emergency managers and the American public can use to help safeguard coastal property, businesses, energy production and distribution facilities, and national security installations.
DOI: 10.5281/zenodo.17652215
title: Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements [Replication Package]

description: Artifact Summary

This repository contains the replication package for the paper 'Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements,' presented at the 33rd IEEE International Requirements Engineering Conference (RE'25).  

The purpose of the package is to facilitate the verification and reproduction of the study results. It provides an overview of all AI guidelines, AI documentation framework proposals, and model cards collected during the study, as well as the report of the subsequent thematic analysis.

Paper Abstract

Model cards are the primary documentation framework for developers of artificial intelligence (AI) models to communicate critical information to their users. Those users are often developers themselves looking for relevant documentation to ensure that their AI systems comply with the ethical requirements of existing laws, guidelines, and standards. Recent studies indicate inadequate model documentation practices, suggesting a gap between AI requirements and current practices in model documentation. To understand this gap and provide actionable guidance to bridge it, we conducted a thematic analysis of 26 guidelines on ethics and AI, three AI documentation frameworks, three quantitative studies of model cards, and ten actual model cards. We identified a total of 43 ethical requirements relevant to model documentation and organized them into a taxonomy featuring four themes and twelve sub-themes representing ethical principles. Our findings indicate that model developers predominantly emphasize model capabilities and reliability in the documentation while overlooking other ethical aspects, such as explainability, user autonomy, and fairness. This underscores the need for enhanced support in documenting ethical AI considerations. Our taxonomy serves as a foundation for a revised model card framework that holistically addresses ethical AI requirements.

References

The published paper is available on IEEE Xplore and the preprint on arXiv.
DOI: 10.5281/zenodo.15611291
title: Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements [Replication Package]

description: Artifact Summary

This repository contains the replication package for the paper 'Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements,' presented at the 33rd IEEE International Requirements Engineering Conference (RE'25).  

The purpose of the package is to facilitate the verification and reproduction of the study results. It provides an overview of all AI guidelines, AI documentation framework proposals, and model cards collected during the study, as well as the report of the subsequent thematic analysis.

Paper Abstract

Model cards are the primary documentation framework for developers of artificial intelligence (AI) models to communicate critical information to their users. Those users are often developers themselves looking for relevant documentation to ensure that their AI systems comply with the ethical requirements of existing laws, guidelines, and standards. Recent studies indicate inadequate model documentation practices, suggesting a gap between AI requirements and current practices in model documentation. To understand this gap and provide actionable guidance to bridge it, we conducted a thematic analysis of 26 guidelines on ethics and AI, three AI documentation frameworks, three quantitative studies of model cards, and ten actual model cards. We identified a total of 43 ethical requirements relevant to model documentation and organized them into a taxonomy featuring four themes and twelve sub-themes representing ethical principles. Our findings indicate that model developers predominantly emphasize model capabilities and reliability in the documentation while overlooking other ethical aspects, such as explainability, user autonomy, and fairness. This underscores the need for enhanced support in documenting ethical AI considerations. Our taxonomy serves as a foundation for a revised model card framework that holistically addresses ethical AI requirements.

References

The published paper is available on IEEE Xplore and the preprint on arXiv.
DOI: 10.34808/602b-hv45
title: SEM micrographs of ammonium vanadate nanocrystals

description: The DataSet contains the electron microscopy (SEM) micrographs of ammonium vanadate nanobelts obtained by the hydrothermal method with different conditions. The results show that the morphology of samples dependent on reaction conditions.
The surface morphologies of the samples were studied by an FEI Company Quanta FEG 250 scanning electron microscope (SEM) (Waltham, MA, USA),  mounting the analyzed sample on a carbon conductive tape. 
These results are part of a project defined in Electrochimica Acta journal (10.1016/j.electacta.2020.135919). In this paper, the information about samples and synthesis details are reported.
DOI: 10.15468/dl.pq43av
title: Occurrence Download

description: A dataset containing 77631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tiaris olivaceus",
 "Country is Colombia"
 ]
}

 The dataset includes 77631 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045599-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17652102
title: Novel protocol of synthesis of functional  biocatalytic systems supported onto Al2O3-biopolymer doped electrospun PMMA materials and their verification in dyes removal - raw dataset
DOI: 10.5281/zenodo.17652103
title: Novel protocol of synthesis of functional  biocatalytic systems supported onto Al2O3-biopolymer doped electrospun PMMA materials and their verification in dyes removal - raw dataset
DOI: 10.15468/dl.b9yknj
title: Occurrence Download

description: A dataset containing 526563 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus terrestris"
 ]
}

 The dataset includes 526563 records from 1228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3550736
title: GRB assessment of the Saarbrücken Voice Database

description: GRB evaluations of the Saarbruecken database. Annex to the paper: Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale. 


Published in IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 14, NO. 2, FEBRUARY 2020: DOI: 10.1109/JSTSP.2019.2956410 
 


If you use these labels please cite as:


J. D. Arias-Londoño, J. A. Gómez-García and J. I. Godino-Llorente, "Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale," in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 2, pp. 413-422, Feb. 2020.
DOI: 10.5281/zenodo.3550735
title: GRB assessment of the Saarbrücken Voice Database

description: GRB evaluations of the Saarbruecken database. Annex to the paper: Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale. 


Published in IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 14, NO. 2, FEBRUARY 2020: DOI: 10.1109/JSTSP.2019.2956410 
 


If you use these labels please cite as:


J. D. Arias-Londoño, J. A. Gómez-García and J. I. Godino-Llorente, "Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale," in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 2, pp. 413-422, Feb. 2020.
DOI: 10.5281/zenodo.17638581
title: Dataset for 'Phytoplankton Photophysiology Traces Iron Stress Hotspot in the South Pacific Ocean'
DOI: 10.15468/dl.ck4c5j
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Herbarium Willing at Herbarium Berolinense, Berlin (B)",
 "TaxonKey is Rhinanthus"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045646-251025141854904/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.29852381.v1
title: Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results

description: This dataset contains the data utilized for the analysis in the article "Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results"
DOI: 10.15468/dl.tezzcx
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spilopodia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045649-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13794454
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.14910342
title: Information-theoretic principle of emergent 1-form symmetries

description: The code used for performing calculations for the project and plotting figures in the manuscript is included.
DOI: 10.5281/zenodo.17652054
title: Information-theoretic principle of emergent 1-form symmetries

description: The code used for performing calculations for the project and plotting figures in the manuscript is included.
DOI: 10.6084/m9.figshare.29852381
title: Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results

description: This dataset contains the data utilized for the analysis in the article "Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results"
DOI: 10.6084/m9.figshare.29852381.v3
title: Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results

description: This dataset contains the data utilized for the analysis in the article "Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results"
DOI: 10.6084/m9.figshare.29852381.v2
title: Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results

description: This dataset contains the data utilized for the analysis in the article "Implementation of formal focused cardiac ultrasound training for obstetric patients in anesthesiology residency: resident survey results"
DOI: 10.5281/zenodo.17652294
title: Dataset for 'Phytoplankton Photophysiology Traces Iron Stress Hotspot in the South Pacific Ocean'

description: Dataset for 'Phytoplankton Photophysiology Traces Iron Stress Hotspot in the South Pacific Ocean' by Yuan et al., 2025
DOI: 10.15468/dl.pdgj3b
title: Occurrence Download

description: A dataset listing the 27 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "MediaType is Image",
 "TaxonKey is Halictidae",
 "Year 2000-2025"
 ]
}

 The dataset's 27 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045623-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26008/1912/bco-dmo.986654.1
title: Vertical gas concentrations in exposed carbonate sand beach in Marathon, FL measured on Jun 6th, 2022

description: This project addresses carbon conversion processes in sandy beaches. To assess gas concentration gradients between the atmsphere and the beach sediment, vertical gas concentration profiles were measured below the beach sediment surface. Gas (custom probes) and temperature probes (PT100) were placed at 2.5 cm above the sediment and at -5, -15 and -25 cm below the sediment surface. Pore gas was extracted from the sediment using a syringe pump (150 ml max. volume). Gas concentrations were measured with a LI-840A. The instrument recorded CO2 concentration, (ppm) and H2O concentration, (ppt).
DOI: 10.7281/t1/zpgbjw
title: Oral health during pregnancy in rural Nepal: a community-based cohort study of practices, periodontal status, and pregnancy outcomes
title: Analytic files and documentation associated with publication(s) arising from Oral health during pregnancy in rural Nepal: a community-based cohort study of practices, periodontal status, and pregnancy outcomes

description: Annually, almost three million babies die prior to 28 days of life; the number one cause of these deaths both in high- and low-income settings is complications arising from preterm birth. Therapeutic options for managing preterm birth are generally unavailable for 98% of the almost 15 million preterm babies born each year, and the evidence base for preventative interventions is lacking. One area that has been substantially neglected in developing countries is the role that poor oral health may play raising the likelihood of early spontaneous delivery. There is epidemiologic and microbiologic evidence for an association between maternal periodontal disease and preterm birth, however, causal mechanisms are not fully understood, and results from randomized trials intervening on mothers with periodontal therapies to reduce prematurity have been mixed. 
In 2014, we initiated a community-based project to examine this question in a high burden setting with low levels of confounding risk factors. Sarlahi District in southern Nepal fit this description, with high rates of neonatal mortality (28 / 1,000 live births), preterm birth (17%), low birth weight (30%), poor oral health, and low rates of smoking, alcohol use, and chronic diseases. The overall objective of our study was to assess the epidemiologic relationship between periodontal disease and preterm birth and investigate causal mechanisms on the pathway from oral infection to early spontaneous delivery. Our specific aims included the following: 
1. Assess the incidence of preterm birth among women with / without periodontitis 
2. Examine relationships between causal mechanisms, specifically clinical signs of periodontitis, subgingival biofilm composition, and levels of inflammatory mediators in gingival crevicular fluid and serum 
3. Conduct a small pilot trial to estimate the association between adherence to a 0.12% chlorhexidine (non-alcohol) daily mouthrinse and subgingival biofilm composition and levels of inflammatory mediators in gingival crevicular fluid and serum
4. Describe the knowledge, attitudes, and practices related to oral hygiene among women and health professionals in the community
DOI: 10.15468/dl.d8n7pa
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (France, Spain)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myotis capaccinii",
 "Year 1000-1970"
 ]
}

 The dataset includes 594 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045656-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ycrak
title: Occurrence Download

description: A dataset containing 1614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.43581 43.63211,1.36923 43.59565,1.416 43.5496,1.47878 43.5448,1.51451 43.5793,1.50481 43.63094,1.43581 43.63211))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 1614 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045655-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.