cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/nrf.saiab.20232506
title: Bathymetry data collected from Tongaat Pinnacles, February 2022

description: African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA
description: This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders).This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives.  The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.
description: See metadata file for additional information.
DOI: 10.15493/nrf.saiab.20232510
title: Bathymetry data collected from Richards Bay, November 2021

description: African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA
description: This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey data was collected to provide a planning context for physical, biological and ecotoxicological sampling in order to assess ecosystem health and biodiversity within the geospatial setting. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected for the University of Zululand, Zoology Dept. using the ACEP Geophysics and Mapping Platform.
description: See metadata file for additional information.
DOI: 10.2908/isoc_ski_itedu
title: Employed persons with information and communications technology (ICT) education by educational attainment level
title: Personnes en emploi possédant un diplôme dans les technologies de l'information et des communications (TIC) par niveau d'éducation atteint
title: Erwerbstätige mit Bildungsabschluss in der Informations- und Kommunikationstechnologie (IKT) nach Bildungsabschluss
DOI: 10.2908/isoc_sks_itspa
title: Employed information and communications technology (ICT) specialists by age
title: Spécialistes en emploi dans les technologies de l'information et des communications (TIC) par âge
title: Erwerbstätige Spezialisten in der Informations- und Kommunikationstechnologie (IKT) nach Alter
DOI: 10.2908/isoc_ski_itage
title: Employed persons with information and communications technology (ICT) education by age
title: Personnes en emploi possédant un diplôme dans les technologies de l'information et des communications (TIC) par âge
title: Erwerbstätige mit Bildungsabschluss in der Informations- und Kommunikationstechnologie (IKT) nach Alter
DOI: 10.2908/isoc_sks_itspe
title: Employed information and communications technology (ICT) specialists by educational attainment level
title: Spécialistes en emploi dans les technologies de l'information et des communications (TIC) par niveau d'éducation atteint
title: Erwerbstätige Spezialisten in der Informations- und Kommunikationstechnologie (IKT) nach Bildungsabschluss
DOI: 10.2908/isoc_ski_itemp
title: Personnes possédant un diplôme dans les technologies de l'information et des communications (TIC) par statut au regard de l'emploi
title: Personen mit Bildungsabschluss in der Informations- und Kommunikationstechnologie (IKT) nach Erwerbsstatus
title: Persons with information and communications technology (ICT) education by labour status
DOI: 10.2908/isoc_sks_itsps
title: Employed information and communications technology (ICT) specialists by sex
title: Erwerbstätige Spezialisten in der Informations- und Kommunikationstechnologie (IKT) nach Geschlecht
title: Spécialistes en emploi dans les technologies de l'information et des communications (TIC) par sexe
DOI: 10.2908/isoc_ski_itsex
title: Personnes en emploi possédant un diplôme dans les technologies de l'information et des communications (TIC) par sexe
title: Erwerbstätige mit Bildungsabschluss in der Informations- und Kommunikationstechnologie (IKT) nach Geschlecht
title: Employed persons with information and communications technology (ICT) education by sex
DOI: 10.2908/isoc_sks_itspn2
title: Spécialistes en emploi dans les technologies de l'information et des communications (TIC) par activité de la NACE Rév. 2 (2008-2026)
title: Erwerbstätige Spezialisten in der Informations- und Kommunikationstechnologie (IKT) nach NACE Rev. 2 Tätigkeit (2008-2026)
title: Employed information and communications technology (ICT) specialists by NACE Rev. 2 activity (2008-2026)
DOI: 10.2908/isoc_sks_itspt
title: Spécialistes en emploi dans les technologies de l'information et des communications (TIC)
title: Employed information and communications technology (ICT) specialists
title: Erwerbstätige Spezialisten in der Informations- und Kommunikationstechnologie (IKT)
DOI: 10.15468/dl.s7mayb
title: Occurrence Download

description: A dataset containing 90700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galaxias)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 90700 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053270-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c75gtq
title: Occurrence Download

description: A dataset containing 5572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.11.1_1",
 "TaxonKey is Milvus milvus"
 ]
}

 The dataset includes 5572 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053305-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h8ryt5g5nd
title: Narrativas

description: Estas son las narrativas usadas para la tesis (raw data)
DOI: 10.17632/h8ryt5g5nd.1
title: Narrativas

description: Estas son las narrativas usadas para la tesis (raw data)
DOI: 10.5281/zenodo.17099643
title: Data presented in "A constitutive model for the mechanical behaviour of saturated frozen soils considering the dual effects of confining pressure"
DOI: 10.5281/zenodo.17099644
title: Data presented in "A constitutive model for the mechanical behaviour of saturated frozen soils considering the dual effects of confining pressure"
DOI: 10.17632/8zrb424fyb.2
title: Dataset on Climate Change Mitigation Strategies in Agriculture, Livestock Forestry, and Other Land Use (AFOLU): Ecuador Case

description: The dataset compiles key national-level indicators related to agriculture, livestock, and land use, including area, trade balance, operating and capital costs, emission factors, and total direct greenhouse gas emissions resulting from agricultural activities and land-use change dynamics.
DOI: 10.17632/5mk2sxf3mf
title: Climate-driven immune gene expression profiles in Peromyscus leucopus: implications for bacterial infection dynamics

description: Pinnae (ear tissue) samples from Peromyscus leucopus (N = 148) were collected by NEON staff in 2022 from eight sites (see Animals and Study Site section in the main text). Samples were used to obtain RNA (see RNA extraction in the main text) and measure immune gene expression (see Droplet Digital Polymerase Chain Reaction (ddPCR) section in the main text).
DOI: 10.17632/5mk2sxf3mf.1
title: Climate-driven immune gene expression profiles in Peromyscus leucopus: implications for bacterial infection dynamics

description: Pinnae (ear tissue) samples from Peromyscus leucopus (N = 148) were collected by NEON staff in 2022 from eight sites (see Animals and Study Site section in the main text). Samples were used to obtain RNA (see RNA extraction in the main text) and measure immune gene expression (see Droplet Digital Polymerase Chain Reaction (ddPCR) section in the main text).
DOI: 10.17632/74rnzc3s5r
title: Datasets and empirical codes for the article “Identification of earnings dynamics using rotating samples over short periods: the case of Chile”, by Carlos Madeira, 10 September 2025

description: This package has the final datasets compiled as the parameters of the earnings dynamics model with mean income growth, wage volatility and employment transitions for all demographic groups as panel time series for Chile. I also publish all the codes required to replicate the empirical analysis of the paper.

The work estimates a labor earnings dynamic model, using employment-unemployment transition probabilities and continuous income shocks. Workers during unemployment benefit from a replacement ratio of labor income during their unemployment spell.
DOI: 10.6084/m9.figshare.30103954
title: Table 2.docx

description: This population-based cross-sectional study was conducted in two public oncology hospitals in the northeast of Brazil, from 2019 to 2021. A total of 1,020 patients with histopathologically confirmed cancer were included. Prevalence and incidence of chronic neuropathic pain were assessed using the Douleur Neuropathique 4 questionnaire (DN4), Karnofsky Performance Status (KPS), Hospital Anxiety and Depression Scale (HADS), and Mini-Sleep Questionnaire (MSQ-BR). Logistic regression identified independent predictors. The prevalence of chronic pain was 35.3%, and CRNP accounted for 62.5% of these cases. In the incidence study (n=224), 12.5% developed chronic pain during six months of follow-up, with a CRNP incidence of 21.4%. CRNP was strongly associated with female sex, age 40–59 years, breast or cervical cancer, metastases, radiotherapy, and pain localized to the chest or lower limbs. Functional impairment (KPS 50–80%), anxiety, depression, and sleep disturbances were also significant predictors. Most patients were low-income women with limited education, self-identified as Black, and living in rural areas. Pain intensity was usually moderate to severe, radiating, and accompanied by sensory abnormalities. Despite this burden, use of adjuvant analgesics remained low. This is the first large-scale Brazilian population-based study on CRNP, demonstrating the highest reported prevalence to date. The findings highlight the urgent need for earlier diagnosis, better access to multidisciplinary pain management, and health policies targeting vulnerable populations.
DOI: 10.6084/m9.figshare.30103954.v1
title: Table 2.docx

description: This population-based cross-sectional study was conducted in two public oncology hospitals in the northeast of Brazil, from 2019 to 2021. A total of 1,020 patients with histopathologically confirmed cancer were included. Prevalence and incidence of chronic neuropathic pain were assessed using the Douleur Neuropathique 4 questionnaire (DN4), Karnofsky Performance Status (KPS), Hospital Anxiety and Depression Scale (HADS), and Mini-Sleep Questionnaire (MSQ-BR). Logistic regression identified independent predictors. The prevalence of chronic pain was 35.3%, and CRNP accounted for 62.5% of these cases. In the incidence study (n=224), 12.5% developed chronic pain during six months of follow-up, with a CRNP incidence of 21.4%. CRNP was strongly associated with female sex, age 40–59 years, breast or cervical cancer, metastases, radiotherapy, and pain localized to the chest or lower limbs. Functional impairment (KPS 50–80%), anxiety, depression, and sleep disturbances were also significant predictors. Most patients were low-income women with limited education, self-identified as Black, and living in rural areas. Pain intensity was usually moderate to severe, radiating, and accompanied by sensory abnormalities. Despite this burden, use of adjuvant analgesics remained low. This is the first large-scale Brazilian population-based study on CRNP, demonstrating the highest reported prevalence to date. The findings highlight the urgent need for earlier diagnosis, better access to multidisciplinary pain management, and health policies targeting vulnerable populations.
DOI: 10.17632/74rnzc3s5r.1
title: Datasets and empirical codes for the article “Identification of earnings dynamics using rotating samples over short periods: the case of Chile”, by Carlos Madeira, 10 September 2025

description: This package has the final datasets compiled as the parameters of the earnings dynamics model with mean income growth, wage volatility and employment transitions for all demographic groups as panel time series for Chile. I also publish all the codes required to replicate the empirical analysis of the paper.

The work estimates a labor earnings dynamic model, using employment-unemployment transition probabilities and continuous income shocks. Workers during unemployment benefit from a replacement ratio of labor income during their unemployment spell.
DOI: 10.17632/26gwtc8gy6
title: Processed Bangla Social Media comments Dataset (PBMedia)

description: This Dataset contains 7,682 comments collected from public YouTube comments. Collected data was labelled into 10 topic class (others, abusive, political, religious, international, education, food, sports, technology, threat) and 4 sentiment class (positive, negative, neutral, hate . The dataset were annotated by native Bengali speakers. The dataset is filtered, tokenized, stemmed and concatenated again as a sentence. The dataset supports multiple downstream tasks such as topic classification, sentiment analysis, and the development of real-world automatic censorship models.
DOI: 10.17632/26gwtc8gy6.1
title: Processed Bangla Social Media comments Dataset (PBMedia)

description: This Dataset contains 7,682 comments collected from public YouTube comments. Collected data was labelled into 10 topic class (others, abusive, political, religious, international, education, food, sports, technology, threat) and 4 sentiment class (positive, negative, neutral, hate . The dataset were annotated by native Bengali speakers. The dataset is filtered, tokenized, stemmed and concatenated again as a sentence. The dataset supports multiple downstream tasks such as topic classification, sentiment analysis, and the development of real-world automatic censorship models.
DOI: 10.17632/4yfg4v87pf
title: Gait-PowerShot-SX430-IS-A, background and Filtered Silhouette Images

description: Gait-PowerShot-SX430-IS-A Dataset

It is a gait dataset of 130 individuals, recorded indoors under controlled night-time illumination with a Canon PowerShot SX430 IS camera mounted on an approximately fixed tripod in a fronto-parallel setup. Each subject walked naturally across the camera’s field of view; after segmentation this yields ≈520 sequences (about four sequences extracted per subject). Silhouette images were produced by background subtraction followed by morphological processing (threshold = 56, kernel size = 4) and normalization to a fixed image size. The dataset is intended for research in silhouette-based and appearance-based gait recognition, and used to construct the Aggregated Pose Energy Image (APEI) feature.

What’s included in this repository:

Silhouette images for all subjects. The silhouettes are the inputs used to build the APEI feature.

Code:

The first three Python scripts required to extract the silhouettes images are available on GitHub:
https://github.com/rspvsanjay/Aggregated-Pose-Energy-Image/

Notes & access:

The original raw video recordings are not included in this repository but can be provided upon reasonable request.

For access to the videos or other inquiries, contact: sanjaykrgupta.rs.cse17@itbhu.ac.in
DOI: 10.17632/4yfg4v87pf.2
title: Gait-PowerShot-SX430-IS-A, background and Filtered Silhouette Images

description: Gait-PowerShot-SX430-IS-A Dataset

It is a gait dataset of 130 individuals, recorded indoors under controlled night-time illumination with a Canon PowerShot SX430 IS camera mounted on an approximately fixed tripod in a fronto-parallel setup. Each subject walked naturally across the camera’s field of view; after segmentation this yields ≈520 sequences (about four sequences extracted per subject). Silhouette images were produced by background subtraction followed by morphological processing (threshold = 56, kernel size = 4) and normalization to a fixed image size. The dataset is intended for research in silhouette-based and appearance-based gait recognition, and used to construct the Aggregated Pose Energy Image (APEI) feature.

What’s included in this repository:

Silhouette images for all subjects. The silhouettes are the inputs used to build the APEI feature.

Code:

The first three Python scripts required to extract the silhouettes images are available on GitHub:
https://github.com/rspvsanjay/Aggregated-Pose-Energy-Image/

Notes & access:

The original raw video recordings are not included in this repository but can be provided upon reasonable request.

For access to the videos or other inquiries, contact: sanjaykrgupta.rs.cse17@itbhu.ac.in
DOI: 10.5281/zenodo.17099652
title: Training datasets, models, and script for "Phase Stability and Transformations in Lead Mixed Halide Perovskites from Machine Learning Force Fields"

description: The training datasets are generated from VASP on-the-fly MD simulations; the detailed methodology can be found in the associated manuscript. The models are trained with the MACE potential with the script included.
DOI: 10.17632/fxx4wttrpv
title: Supplementary Materials for "Liquid Crystal Monomers and Their Mixtures Alter Nuclear Receptor Signaling and Promote Adipogenesis In Vitro"

description: This folder contains the supplementary materials for "Liquid Crystal Monomers and Their Mixtures Alter Nuclear Receptor Signaling and Promote Adipogenesis In Vitro". These include supplemental tables 1-7 (excel file) as well as supplemental Text 1-3 and supplemental figures 1-20 (word document).
DOI: 10.17632/fxx4wttrpv.1
title: Supplementary Materials for "Liquid Crystal Monomers and Their Mixtures Alter Nuclear Receptor Signaling and Promote Adipogenesis In Vitro"

description: This folder contains the supplementary materials for "Liquid Crystal Monomers and Their Mixtures Alter Nuclear Receptor Signaling and Promote Adipogenesis In Vitro". These include supplemental tables 1-7 (excel file) as well as supplemental Text 1-3 and supplemental figures 1-20 (word document).
DOI: 10.17632/zdpgcxskcx
title: Sequencing data of Pantoea dispersa strain PGPR-24 genome

description: This dataset contains the Illumina genome sequencing reads of Pantoea dispersa strain PGPR-24, in FASTQ format
DOI: 10.17632/zdpgcxskcx.1
title: Sequencing data of Pantoea dispersa strain PGPR-24 genome

description: This dataset contains the Illumina genome sequencing reads of Pantoea dispersa strain PGPR-24, in FASTQ format
DOI: 10.5281/zenodo.17099548
title: Tunable Plasmonic Circular Dichroism of Hierarchical Chiral AssembliesClick to copy article link
DOI: 10.5281/zenodo.17099547
title: Tunable Plasmonic Circular Dichroism of Hierarchical Chiral AssembliesClick to copy article link
DOI: 10.17632/24r8vsnkf5.1
title: HIMO1.0 Black and White Game to Learn Identification of WBCs

description: HIMO1.0 is an interactive educational game designed to help students and laboratory professionals learn to identify white blood cells (WBCs) based on their morphological features in black and white images. The game focuses on key cell characteristics such as size, nuclear shape, and granularity, without relying on color information, making it ideal for sharpening observational skills and understanding cell structure.
DOI: 10.15468/dl.q9rrxj
title: Occurrence Download

description: A dataset containing 6921 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros kaki"
 ]
}

 The dataset includes 6921 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053306-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rb4ddwpdz5.1
title: Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations

description: This dataset supports the systematic review titled “Artificial Intelligence in Nursing Practice: A Systematic Review of Applications, Impacts, and Ethical Considerations.” It includes metadata extracted from 53 peer-reviewed studies published between January 2020 and June 2025. The dataset is organized into four thematic domains: clinical applications, operational impacts, educational implications, and ethical considerations.

Contents:

• PRISMA screening log (initial search results, inclusion/exclusion decisions)
• Study metadata (authors, publication year, country, AI application type, nursing domain)
• Thematic codes and categories used in qualitative synthesis
• Summary tables of AI tools, nursing roles affected, and reported outcomes
• Ethical concerns identified across studies (e.g., data privacy, algorithmic bias)


Format: Excel (.xlsx) and CSV (.csv)
License: CC BY 4.0
Access: Open access via Mendeley Data
DOI: 10.15468/dl.3zkdwy
title: Occurrence Download

description: A dataset containing 53206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laburnum anagyroides"
 ]
}

 The dataset includes 53206 records from 867 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053241-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46xgn4
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dinopium javanense",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 163 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053309-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.