cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21943/auas.30836546.v1
title: DIEtetics: Effective and Towards a sustainable profession (DIEET) project

description: This dataset (.csv) contains data from 236 dietitians and 594 clients who participated in the DIEtetics: Effective and Towards a sustainable profession (DIEET) project. The accompanying codebook (.txt) contains an explanation of the variables in the dataset.The DIEET project was a prospective observational study in which participating dietitians treated patients with overweight, type 2 diabetes, hypercholesterolemia, undernutrition, or hypertension. An expert meeting using the Delphi method resulted in the identification of 92 potentially influential factors related to the effectiveness of dietary treatment. Trained third- and fourth-year nutrition students subsequently observed and scored dietitians’ first consultations on these factors. For each patient, sex, ethnicity, socioeconomic status (based on education level), and referral route were recorded. Baseline patient data included weight, height, medication, and glycated hemoglobin. After nine months of treatment, dietitians reported treatment continuation and updated data on weight, medication, and blood parameters for each patient.The DIEET project (2014-2016) was set up by the research group Nutrition and Exercise at the Amsterdam University of Applied Sciences, in close collaboration with the Dutch Association of Dietitians, Amsterdam UMC, the Malnutrition Steering Group, Vialente-Diëtheek, the Dutch Dietitians' Cooperative, Careyn, Amsterdam Dietitian Group and various dietitian practices. The project was funded by a Regieorgaan SIA RAAK-mkb grant (project no: 2012-20-48M).<br>Results were published in the Dutch magazine for nutrition and dietetics:Schuurman, C., Streppel, M., Leistra, E., & Weijs, P. (2017). Hoe handelt de eerstelijns diëtist?. <i>Nederlands Tijdschrift voor Voeding & Diëtetiek</i>, <i>72</i>(6), 12-16.Schuurman, C., Streppel, M. T., Leistra, E., & Weijs, P. J. (2019). Aantal consulten, behandeltijd en effectiviteit in de eerstelijnsdiëtetiek: resultaten van het DIEET-project. <i>Nederlands tijdschrift voor voeding en diëtetiek</i>, <i>2019</i>(4), 21-29.
DOI: 10.17632/mjrhkf57ms.1
title: Dataset for "Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review"

description: This dataset provides the full data-extraction table supporting the systematic review “Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review”.

It contains study-level extracted information for the empirical studies included in the synthesis (n=80), organised by application-scale groups: (A) vineyard parcel/field, (B) vine rows, (C) individual vines (plant-level), and (R) regional assessments.
In addition to bibliographic metadata and study context, the table records mapping applications/outputs and task flags (Detection, Delineation, Segmentation, Classification, Estimation), remote-sensing system and sensor/platform, spectral modality and spatial resolution, input information types, method category and specific methods, and the best-reported evaluation metrics (as reported by the original authors). Missing or unreported fields are preserved as not reported (no assumptions or imputation).
Publication-venue metadata are included for descriptive analysis: Publisher, Journal/venue, Type, and SCImago Journal Rank (SJR). Journal articles are recorded by SJR quartile for the publication year (Q1–Q3 when available). For proceedings (conference papers and book chapters), the venue SJR score is stored as a numeric value and categorised into three levels (Top/Medium/Low) using the thresholds defined in the associated manuscript.
Risk of bias/applicability is reported per domain (D1 coverage; D2 sensor & pre-processing; D3 ground-truth; D4 validation; D5 portability) plus an overall rating, following the decision rule described in the manuscript. A reproducibility tag summarises whether data/code availability enables independent reuse, as defined in the accompanying data dictionary.

This dataset is intended to increase transparency and enable verification, re-analysis, and evidence mapping of the vineyard identification literature.

Please cite the associated article and this dataset DOI when reusing the data.
DOI: 10.5281/zenodo.18324549
title: ЖАДИДЧИЛИК ВА ИСЛОМ МАДАНИЯТИ: ЎЗАРО АЛОҚАДОРЛИК ВА ТРАНСФОРМАЦИЯСИ
DOI: 10.5281/zenodo.18324550
title: ЖАДИДЧИЛИК ВА ИСЛОМ МАДАНИЯТИ: ЎЗАРО АЛОҚАДОРЛИК ВА ТРАНСФОРМАЦИЯСИ
DOI: 10.17632/35bnzpwjdz
title: Experimental dataset for: Hair follicle neural crest stem cell-derived exosomes promote peripheral nerve regeneration via miR-214-3p

description: This dataset contains all raw and processed data supporting the findings of the original research article "The Role of miR-214-3p in Hair Follicle Neural Crest Stem Cell-derived Exosomes in the Repair of Peripheral Nerve Injury". The study aimed to investigate the role and mechanism of hair follicle neural crest stem cell-derived exosomes (hfNCSCs-Exos) and their carried miR-214-3p in promoting neurite outgrowth and peripheral nerve regeneration.
The dataset comprises the following:
1. Cell and Exosome Characterization Data: Immunocytochemical staining images of primary hair follicle neural crest stem cells (hfNCSCs). Western Blot raw images and quantification data for exosome markers (e.g., CD63, CD9) of hfNCSCs-Exos.
2. In Vitro Experiment Data: Immunofluorescence staining images (for markers like GAP43 and NF200) of acrylamide-injured rat dorsal root ganglion (DRG) neurons treated with different groups (Control, Wild-type hfNCSCs-Exos, miR-214-3p OE/IH hfNCSCs-Exos). Includes raw image files for quantification and analyzed morphometric data (e.g., neurite length, branch count).
3. In Vivo Experiment Data: Histological Data: Immunohistochemical/immunofluorescence staining images (e.g., for NF200) of transverse and longitudinal sections from the regenerated sciatic nerve in a rat defect model across different treatment groups. Functional Recovery Data: Histological section images (H&E staining) of gastrocnemius. Raw records and quantified scoring sheets for motor function assessments (e.g., Sciatic Functional Index).
Methodology & Processing:
Data were generated following the experimental procedures detailed in the "Materials and Methods" section of the associated paper, including cell isolation, exosome extraction/characterization, establishment of cell and animal injury models, immunostaining, Western Blot, image acquisition, morphometric analysis, and behavioral tests. Raw images were analyzed using Fiji software.
Link to Publication:
This dataset directly supports the research presented in the manuscript titled "The Role of miR-214-3p in Hair Follicle Neural Crest Stem Cell-derived Exosomes in the Repair of Peripheral Nerve Injury ", which is submitted at Regenerative Therapy. The DOI for the article will be added upon acceptance.
DOI: 10.17632/35bnzpwjdz.1
title: Experimental dataset for: Hair follicle neural crest stem cell-derived exosomes promote peripheral nerve regeneration via miR-214-3p

description: This dataset contains all raw and processed data supporting the findings of the original research article "The Role of miR-214-3p in Hair Follicle Neural Crest Stem Cell-derived Exosomes in the Repair of Peripheral Nerve Injury". The study aimed to investigate the role and mechanism of hair follicle neural crest stem cell-derived exosomes (hfNCSCs-Exos) and their carried miR-214-3p in promoting neurite outgrowth and peripheral nerve regeneration.
The dataset comprises the following:
1. Cell and Exosome Characterization Data: Immunocytochemical staining images of primary hair follicle neural crest stem cells (hfNCSCs). Western Blot raw images and quantification data for exosome markers (e.g., CD63, CD9) of hfNCSCs-Exos.
2. In Vitro Experiment Data: Immunofluorescence staining images (for markers like GAP43 and NF200) of acrylamide-injured rat dorsal root ganglion (DRG) neurons treated with different groups (Control, Wild-type hfNCSCs-Exos, miR-214-3p OE/IH hfNCSCs-Exos). Includes raw image files for quantification and analyzed morphometric data (e.g., neurite length, branch count).
3. In Vivo Experiment Data: Histological Data: Immunohistochemical/immunofluorescence staining images (e.g., for NF200) of transverse and longitudinal sections from the regenerated sciatic nerve in a rat defect model across different treatment groups. Functional Recovery Data: Histological section images (H&E staining) of gastrocnemius. Raw records and quantified scoring sheets for motor function assessments (e.g., Sciatic Functional Index).
Methodology & Processing:
Data were generated following the experimental procedures detailed in the "Materials and Methods" section of the associated paper, including cell isolation, exosome extraction/characterization, establishment of cell and animal injury models, immunostaining, Western Blot, image acquisition, morphometric analysis, and behavioral tests. Raw images were analyzed using Fiji software.
Link to Publication:
This dataset directly supports the research presented in the manuscript titled "The Role of miR-214-3p in Hair Follicle Neural Crest Stem Cell-derived Exosomes in the Repair of Peripheral Nerve Injury ", which is submitted at Regenerative Therapy. The DOI for the article will be added upon acceptance.
DOI: 10.6084/m9.figshare.28735587
title: Development of a hybrid public–private natural area governance model in the Adirondack Park of New York State

description: We applied Elinor Ostrom’s design principles (DPs) for governing public goods and her associated concept of polycentricity to describe how a hybrid public-private governance network emerged in Adirondack Park. We gathered evidence of key park decisions since 1880, including who was involved and at what scale each event occurred, to characterize how Park governance became more participatory over time. While state government dominated the decision space, the number of organizations involved in key policy events increased by six-fold and included more non-governmental and private land groups by 2020, along with mechanisms for joint decision-making and the emergence of self-organization at the local scale. While shared administration of protected areas can create inefficiencies, it can also enable resilience in the face of novel events and change. We found that determining which DPs were operational in a time period helped us evaluate both the developmental trajectory and governance of the large, multi-jurisdictional Adirondack Park. Given the complexity of current global environmental and socio-economic challenges, we suggest this as a valuable method for similar complex, public/private natural areas.
DOI: 10.6084/m9.figshare.28735587.v1
title: Development of a hybrid public–private natural area governance model in the Adirondack Park of New York State

description: We applied Elinor Ostrom’s design principles (DPs) for governing public goods and her associated concept of polycentricity to describe how a hybrid public-private governance network emerged in Adirondack Park. We gathered evidence of key park decisions since 1880, including who was involved and at what scale each event occurred, to characterize how Park governance became more participatory over time. While state government dominated the decision space, the number of organizations involved in key policy events increased by six-fold and included more non-governmental and private land groups by 2020, along with mechanisms for joint decision-making and the emergence of self-organization at the local scale. While shared administration of protected areas can create inefficiencies, it can also enable resilience in the face of novel events and change. We found that determining which DPs were operational in a time period helped us evaluate both the developmental trajectory and governance of the large, multi-jurisdictional Adirondack Park. Given the complexity of current global environmental and socio-economic challenges, we suggest this as a valuable method for similar complex, public/private natural areas.
DOI: 10.6084/m9.figshare.28638508
title: How are local governments planning for heat mitigation? A study of Metro Vancouver and Fraser Valley jurisdictions

description: Extreme heat is a growing concern for local governments, whose regulatory control of land development impacts the urban heat island effect. To better understand how local governments are responding, this study reviewed heat mitigation plans and policies from municipalities and regional districts in the historically temperate south coast of mainland British Columbia by asking how are Metro Vancouver and Fraser Valley jurisdictions planning for extreme heat? 243 documents across 29 jurisdictions (27 municipalities and two regional districts) were reviewed using a plan evaluation framework for urban heat planning and keyword searches. Our results showed that heat-mitigating interventions were not uniformly or explicitly included within or across governments. Showing a lack of consideration of extreme heat as a hazard. Urban greening and site-scale interventions were the most common across jurisdictions. We argue that effective local governance for extreme heat requires regional coordination and alignment with higher levels of government and coordination across departments within local governments.
DOI: 10.6084/m9.figshare.28638508.v1
title: How are local governments planning for heat mitigation? A study of Metro Vancouver and Fraser Valley jurisdictions

description: Extreme heat is a growing concern for local governments, whose regulatory control of land development impacts the urban heat island effect. To better understand how local governments are responding, this study reviewed heat mitigation plans and policies from municipalities and regional districts in the historically temperate south coast of mainland British Columbia by asking how are Metro Vancouver and Fraser Valley jurisdictions planning for extreme heat? 243 documents across 29 jurisdictions (27 municipalities and two regional districts) were reviewed using a plan evaluation framework for urban heat planning and keyword searches. Our results showed that heat-mitigating interventions were not uniformly or explicitly included within or across governments. Showing a lack of consideration of extreme heat as a hazard. Urban greening and site-scale interventions were the most common across jurisdictions. We argue that effective local governance for extreme heat requires regional coordination and alignment with higher levels of government and coordination across departments within local governments.
DOI: 10.6084/m9.figshare.28525166
title: Airports’ environmental effects and limits to growth: an integrated framework

description: Since the 1950s, airports have become popular transport infrastructures for the economic growth of cities and urban regions. However, increased awareness regarding their negative environmental effects poses key challenges for the future of aviation industry. In this study, we propose an integrated, co-evolutionary conceptual framework (CoFACt) to assess to what extent the tension between airport economic capacity and environmental impacts has been successfully managed. We empirically validate our framework by examining seven airports in Western Europe by using both quantitative and qualitative data. The comparative analysis of our sample shows that a high airport environmental capacity can be reached when (larger) airports are located in the vicinity to city centres, where aviation-related operations have been balanced with the needs of local communities, a low environmental capacity is found in our sample when tensions emerge between airport operations and the need to preserve surrounding environmental areas (environmental land-use conflicts). The CoFACt framework provides a structured approach to balance economic growth with environmental stewardship in airport operations. Its interdisciplinary nature and scalability also allow for continuous adaptation to evolving challenges, making it a valuable tool for sustainable airport management and community engagement.
DOI: 10.6084/m9.figshare.28525166.v1
title: Airports’ environmental effects and limits to growth: an integrated framework

description: Since the 1950s, airports have become popular transport infrastructures for the economic growth of cities and urban regions. However, increased awareness regarding their negative environmental effects poses key challenges for the future of aviation industry. In this study, we propose an integrated, co-evolutionary conceptual framework (CoFACt) to assess to what extent the tension between airport economic capacity and environmental impacts has been successfully managed. We empirically validate our framework by examining seven airports in Western Europe by using both quantitative and qualitative data. The comparative analysis of our sample shows that a high airport environmental capacity can be reached when (larger) airports are located in the vicinity to city centres, where aviation-related operations have been balanced with the needs of local communities, a low environmental capacity is found in our sample when tensions emerge between airport operations and the need to preserve surrounding environmental areas (environmental land-use conflicts). The CoFACt framework provides a structured approach to balance economic growth with environmental stewardship in airport operations. Its interdisciplinary nature and scalability also allow for continuous adaptation to evolving challenges, making it a valuable tool for sustainable airport management and community engagement.
DOI: 10.15468/dl.st85rr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.048 1.466183, 117.977714 1.460615, 117.90916 1.444048, 117.844026 1.41689, 117.783917 1.379811, 117.730314 1.333724, 117.684535 1.279764, 117.647708 1.21926, 117.62074 1.153703, 117.604293 1.084706, 117.598772 1.013969, 117.604313 0.943233, 117.620777 0.874241, 117.647759 0.80869, 117.684594 0.748194, 117.730376 0.694244, 117.783977 0.648166, 117.844077 0.611096, 117.909197 0.583945, 117.977734 0.567383, 118.048 0.561816, 118.118266 0.567383, 118.186803 0.583945, 118.251923 0.611096, 118.312023 0.648166, 118.365624 0.694244, 118.411406 0.748194, 118.448241 0.80869, 118.475223 0.874241, 118.491687 0.943233, 118.497228 1.013969, 118.491707 1.084706, 118.47526 1.153703, 118.448292 1.21926, 118.411465 1.279764, 118.365686 1.333724, 118.312083 1.379811, 118.251974 1.41689, 118.18684 1.444048, 118.118286 1.460615, 118.048 1.466183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002149-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.17640164
title: Loan-Granting Self-Representations 2025

description: This dataset was created to facilitate research on representational alignment between real-world human individuals and their digital representations. It extends each feature representation from the German Credit Dataset with 30 generated natural language self-representations argumenting for the creditworthiness of each human decision target.
DOI: 10.5281/zenodo.17640163
title: Loan-Granting Self-Representations 2025

description: This dataset was created to facilitate research on representational alignment between real-world human individuals and their digital representations. It extends each feature representation from the German Credit Dataset with 30 generated natural language self-representations argumenting for the creditworthiness of each human decision target.
DOI: 10.15468/dl.dxwrc8
title: Occurrence Download

description: A dataset listing the 169 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Africa",
 "Country is South Africa",
 "Geometry POLYGON((22.60635 -30.24743,27.53093 -30.24743,27.53093 -27.57627,22.60635 -27.57627,22.60635 -30.24743))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 169 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002132-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.space.03235
title: The dataset of fast forward interplanetary shocks observed by the Wind satellite at 1 AU during 1995–2019
title: The dataset of fast forward interplanetary shocks observed by the Wind satellite at 1 AU during 1995–2019

description: This dataset is derived from the interplanetary shock data observed by the Wind satellite at 1AU from 1995 to 2019, which is mainly used to identify fast forward interplanetary shocks (FFs). According to the design of the neural network, the dataset is divided into four categories: FF upstream samples, FF samples, FF downstream samples, and non-FF samples. The number and proportion of each category are distributed as follows: 5280 FF upstream samples (25.13%), 5111 FF samples (24.33%), 5290 FF downstream samples (25.18%), and 5326 non-FF samples (25.35%). 
description: This dataset is derived from the interplanetary shock data observed by the Wind satellite at 1AU from 1995 to 2019, which is mainly used to identify fast forward interplanetary shocks (FFs). According to the design of the neural network, the dataset is divided into four categories: FF upstream samples, FF samples, FF downstream samples, and non-FF samples. The number and proportion of each category are distributed as follows: 5280 FF upstream samples (25.13%), 5111 FF samples (24.33%), 5290 FF downstream samples (25.18%), and 5326 non-FF samples (25.35%).
DOI: 10.48329/gevs-0551
title: CPRD Aurum Source File January 2026

description: The source data are provided to enable researchers to ascertain which patients are eligible for linkage to each dataset and to clarify the coverage periods for each data source. The linkage eligibility file only includes patients from practices that have consented to take part in the linkage process. The file contains flags to indicate whether the patient is eligible for each individual linked data source. Some patients will not be eligible for any of the linked data sources, whereas others may be eligible for some/all of them. These data are provided so that researcher can determine the appropriate population to include in their study. The linkage coverage file indicates the start and end of coverage for each individual linked data source.

description: Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval via CPRD's Research Data Governance Process. Further information is available at https://www.cprd.com/data-access.

description: Please contact enquiries@cprd.com for further information or if you have any questions.
DOI: 10.15468/dl.cczdg3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Euodynerus dantici"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002151-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.