cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9s44yykz6x.1
title: Data_Entrepreneurship Learning Model

description: This file contains qualitative research data derived from in-depth interviews with eighteen former Indonesian migrant workers who have successfully transitioned into independent entrepreneurs after returning home. The data represent firsthand narratives that capture the participants’ lived experiences before migration, during employment abroad, and throughout the process of establishing small businesses in their local contexts.

The interviews explore how entrepreneurial intentions were formed prior to departure, how overseas work was consciously used as a learning space, and how skills, knowledge, and discipline were gradually accumulated beyond financial savings. Participants describe migration not merely as a means of earning income, but as an intentional investment period for acquiring technical competence, market awareness, and managerial insight that could later be applied in self-employment.

The data also highlight the central role of family relationships in shaping entrepreneurial outcomes. Informants explain how trust, role-sharing, and negotiated agreements within the household influenced savings management, risk-taking decisions, and business continuity. Family members frequently acted as partners, caretakers, or informal managers rather than passive recipients of remittances.

In addition, the interviews reveal iterative and context-based learning processes. Participants relied heavily on trial-and-error experimentation, peer networks among fellow former migrant workers, and informal knowledge sources such as community groups and digital platforms. Access to capital emerged as a hybrid strategy, combining personal savings, soft family loans, social networks, and non-financial resources such as land, labor, and trust.

Overall, this qualitative interview dataset provides rich empirical material for analyzing migrant entrepreneurship, experiential learning, family-based economic strategies, and alternative pathways to business formation. It is intended for academic analysis, thematic coding, and theory development, offering grounded insights into entrepreneurship as a survival-oriented and socially embedded process rather than a purely individual or opportunity-driven choice.
DOI: 10.17632/8d3m63rpjr
title: SIAH2

description: SIAH2-related omics studies, including CRISPR screening, ChIP-seq and RNA-seq
DOI: 10.15468/dl.k8r4dj
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((120 39,122.99587 39.0047,122.99586 39.03169,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Egretta eulophotes",
 "VerbatimScientificName is Egretta eulophotes"
 ]
}

 The dataset includes 141 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009425-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8d3m63rpjr.1
title: SIAH2

description: SIAH2-related omics studies, including CRISPR screening, ChIP-seq and RNA-seq
DOI: 10.17632/h3hv7z4br8
title: Data - Hasil Observasi Partisipan BRICOLAGE

description: This file contains qualitative research data generated through long-term participant observation and in-depth interviews with rural micro-entrepreneurs operating within village-based economic ecosystems in East Java, Indonesia. The data document everyday practices of gotong royong (mutual cooperation) as they function beyond cultural symbolism and operate as a living, informal economic system that supports entrepreneurial survival and resilience.

The observational data were collected over a nine-month period in two contrasting rural settings—an agrarian village and a hybrid village with diversified economic activities. Through formal and informal settings such as coffee stalls, group meetings, production sites, and ritual events, the researcher recorded how information exchange, resource sharing, and collective problem-solving occur without rigid organizational structures. These observations reveal how gotong royong enables real-time resource mapping, distributed production arrangements, and rapid collective responses to operational disruptions.

In addition, the dataset includes verbatim interview transcripts from fifteen micro-entrepreneurs across sectors such as food processing, handicrafts, livestock, retail, services, and small-scale manufacturing. The interviews capture personal narratives of business formation, access to capital, labor mobilization, risk sharing, and conflict resolution. Rather than relying on formal contracts or financial instruments, participants describe systems of trust, reputation, reciprocity, and social sanctions as core mechanisms governing economic exchange.

Across cases, capital emerges as a hybrid configuration combining financial savings, shared assets, labor contributions, and social relationships. Transactions are often indirect, long-term, and non-monetary, reflecting a locally embedded economic logic that prioritizes continuity and collective stability over short-term efficiency or individual accumulation.

Overall, this qualitative dataset provides rich empirical material for examining community-based entrepreneurship, informal governance, social capital, and bricolage practices in rural economies. It is intended for thematic analysis, comparative qualitative research, and theory development, offering grounded insights into how traditional social mechanisms adapt to contemporary entrepreneurial challenges.
DOI: 10.17632/h3hv7z4br8.1
title: Data - Hasil Observasi Partisipan BRICOLAGE

description: This file contains qualitative research data generated through long-term participant observation and in-depth interviews with rural micro-entrepreneurs operating within village-based economic ecosystems in East Java, Indonesia. The data document everyday practices of gotong royong (mutual cooperation) as they function beyond cultural symbolism and operate as a living, informal economic system that supports entrepreneurial survival and resilience.

The observational data were collected over a nine-month period in two contrasting rural settings—an agrarian village and a hybrid village with diversified economic activities. Through formal and informal settings such as coffee stalls, group meetings, production sites, and ritual events, the researcher recorded how information exchange, resource sharing, and collective problem-solving occur without rigid organizational structures. These observations reveal how gotong royong enables real-time resource mapping, distributed production arrangements, and rapid collective responses to operational disruptions.

In addition, the dataset includes verbatim interview transcripts from fifteen micro-entrepreneurs across sectors such as food processing, handicrafts, livestock, retail, services, and small-scale manufacturing. The interviews capture personal narratives of business formation, access to capital, labor mobilization, risk sharing, and conflict resolution. Rather than relying on formal contracts or financial instruments, participants describe systems of trust, reputation, reciprocity, and social sanctions as core mechanisms governing economic exchange.

Across cases, capital emerges as a hybrid configuration combining financial savings, shared assets, labor contributions, and social relationships. Transactions are often indirect, long-term, and non-monetary, reflecting a locally embedded economic logic that prioritizes continuity and collective stability over short-term efficiency or individual accumulation.

Overall, this qualitative dataset provides rich empirical material for examining community-based entrepreneurship, informal governance, social capital, and bricolage practices in rural economies. It is intended for thematic analysis, comparative qualitative research, and theory development, offering grounded insights into how traditional social mechanisms adapt to contemporary entrepreneurial challenges.
DOI: 10.15468/dl.s7vtfc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.83_1","matchCase":false},{"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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009424-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s7vrmrdps8
title: School Engagement Data

description: The dataset consists of questionnaire-based survey data collected from junior middle school students in Xiangyang,Hubei province,China。A total of 938 respondents participated in the study, among which 50.32 % were male and 49.68% were female, with an average age of 14.12years (SD =1.01). The questionnaire comprises 31 items measuring behavioral, emotional, cognitive, and social engagement using a 5-point Likert scale.
DOI: 10.17632/s7vrmrdps8.1
title: School Engagement Data

description: The dataset consists of questionnaire-based survey data collected from junior middle school students in Xiangyang,Hubei province,China。A total of 938 respondents participated in the study, among which 50.32 % were male and 49.68% were female, with an average age of 14.12years (SD =1.01). The questionnaire comprises 31 items measuring behavioral, emotional, cognitive, and social engagement using a 5-point Likert scale.
DOI: 10.15468/dl.fkw7rj
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((120 39,122.99587 39.0047,122.99586 39.03169,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus japonensis"
 ]
}

 The dataset includes 50 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009426-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dkwrznvt8j
title: Research data

description: The relevant data of the article
DOI: 10.5281/zenodo.18247532
title: Baccharis palustris Heering. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/dkwrznvt8j.1
title: Research data

description: The relevant data of the article
DOI: 10.5281/zenodo.18247531
title: Baccharis palustris Heering. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/vjsjh4m3mx
title: Code and Data accompanying a paper entitled "A Dual-Medium Permeability Model for Reactive Transport during CO₂ + O₂ In Situ Leaching of Sandstone Uranium"

description: This dataset gives the code and dataset accompanying a submitted paper entitled "A Dual-Medium Permeability Model for Reactive Transport during CO₂ + O₂ In Situ Leaching of Sandstone Uranium".
DOI: 10.17632/vjsjh4m3mx.1
title: Code and Data accompanying a paper entitled "A Dual-Medium Permeability Model for Reactive Transport during CO₂ + O₂ In Situ Leaching of Sandstone Uranium"

description: This dataset gives the code and dataset accompanying a submitted paper entitled "A Dual-Medium Permeability Model for Reactive Transport during CO₂ + O₂ In Situ Leaching of Sandstone Uranium".
DOI: 10.17632/bpwfhdn2wt
title: Manuscript data: Tables and figures

description: A total of 405 critically ill DKD patients in the ICU were included in this study, of whom 88 patients experienced 90-day in-hospital mortality. The results indicated that admission age, red blood cell distribution width (RDW), and delirium were predictors of 90-day in-hospital mortality. Multivariable logistic regression showed that all variables were statistically significant. A forest plot visualized the effect estimates and 95% confidence intervals for each predictor. The model achieved a C-index of 0.891. The AUC values for the training and validation sets were 0.825 (95% CI: 0.764 - 0.887) and 0.782 (95% CI: 0.609 - 0.824), respectively. Calibration curves demonstrated good predictive consistency, and DCA confirmed the significant clinical value of the model.
DOI: 10.17632/bpwfhdn2wt.1
title: Manuscript data: Tables and figures

description: A total of 405 critically ill DKD patients in the ICU were included in this study, of whom 88 patients experienced 90-day in-hospital mortality. The results indicated that admission age, red blood cell distribution width (RDW), and delirium were predictors of 90-day in-hospital mortality. Multivariable logistic regression showed that all variables were statistically significant. A forest plot visualized the effect estimates and 95% confidence intervals for each predictor. The model achieved a C-index of 0.891. The AUC values for the training and validation sets were 0.825 (95% CI: 0.764 - 0.887) and 0.782 (95% CI: 0.609 - 0.824), respectively. Calibration curves demonstrated good predictive consistency, and DCA confirmed the significant clinical value of the model.
DOI: 10.17632/2w95yvsg9s
title: Intrapartum ultrasound measurement of the lower uterine segment thickness in parturients with previous scar in labor

description: This study aimed to assess the lower uterine segment and myometrial thickness by ultrasonography in women with previous cesarean section during labor and assess their association with uterine defect.
DOI: 10.17632/2w95yvsg9s.2
title: Intrapartum ultrasound measurement of the lower uterine segment thickness in parturients with previous scar in labor

description: This study aimed to assess the lower uterine segment and myometrial thickness by ultrasonography in women with previous cesarean section during labor and assess their association with uterine defect.
DOI: 10.5281/zenodo.18184688
title: Data for: "Materials with smaller absorptivity reduce detrimental impacts of stratospheric aerosol injection on the hydrological cycle"

description: Here we present the data from model simulations using SOCOLv4 used for the data-analysis in the manuscript "Materials with smaller absorptivity reduce detrimental impacts of stratospheric aerosol injection on the hydrological cycle". 

Structure of data files:

SSP2-4.5 and SSP5-8.5 are reference ensembles of a middle of the road pathway and a high emission pathway.

G6{compound} are ensembles of Stratospheric Aerosol Injection experiments using different materials with the same GHG emissions as in SSP5-8.5. SAI is used in these experiments to bring surface temperatures down to SSP2-4.5.

For each ensemble we present two zip_files, one containing monthly data and one containing annual data.

Content of data files:

Each ensemble has the following datasets:



annual_vars_2080to2999_[name][number] (variables used to calculate differences between SAI and reference annually)

monthly_vars_2080to2999_[name][number] (variables used to calculate differences between SAI and reference per season)

annual_vars_full_[name][number] (variables used for assessing temporal development of simulations)


name is the ensemble name

number stands for the ensemble member. 

SAI ensembles also contain:



monthly_AB_2080to2999_[name][number]

annual_AB_full_[name][number] 


Which contains the total aerosol burden (baer) and the stratospheric aerosol burden (sbaer) in S/cm3 for G6sulfur, and the total aerosol burden (ca_baer) and stratospheric aerosol burden (ca_sbaer) in SP/cm3 for the solid particles (SPs)
DOI: 10.5281/zenodo.18184687
title: Data for: "Materials with smaller absorptivity reduce detrimental impacts of stratospheric aerosol injection on the hydrological cycle"

description: Here we present the data from model simulations using SOCOLv4 used for the data-analysis in the manuscript "Materials with smaller absorptivity reduce detrimental impacts of stratospheric aerosol injection on the hydrological cycle". 

Structure of data files:

SSP2-4.5 and SSP5-8.5 are reference ensembles of a middle of the road pathway and a high emission pathway.

G6{compound} are ensembles of Stratospheric Aerosol Injection experiments using different materials with the same GHG emissions as in SSP5-8.5. SAI is used in these experiments to bring surface temperatures down to SSP2-4.5.

For each ensemble we present two zip_files, one containing monthly data and one containing annual data.

Content of data files:

Each ensemble has the following datasets:



annual_vars_2080to2999_[name][number] (variables used to calculate differences between SAI and reference annually)

monthly_vars_2080to2999_[name][number] (variables used to calculate differences between SAI and reference per season)

annual_vars_full_[name][number] (variables used for assessing temporal development of simulations)


name is the ensemble name

number stands for the ensemble member. 

SAI ensembles also contain:



monthly_AB_2080to2999_[name][number]

annual_AB_full_[name][number] 


Which contains the total aerosol burden (baer) and the stratospheric aerosol burden (sbaer) in S/cm3 for G6sulfur, and the total aerosol burden (ca_baer) and stratospheric aerosol burden (ca_sbaer) in SP/cm3 for the solid particles (SPs)
DOI: 10.5281/zenodo.18247548
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260114q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260114q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18247547
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260114q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260114q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18247539
title: Baccharis patagonica Hook. & Arn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247540
title: Baccharis patagonica Hook. & Arn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.h8ejxg
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((120 39,123 39,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paradoxornis heudei"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009428-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36mfb4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.26.18_1","matchCase":false},{"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/0009427-260108223611665/datasets/export for details.
DOI: 10.5519/qd.ycu3fap9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (197 records)
DOI: 10.17632/4td9y2yg4v
title: Mahua Leaf Image Dataset

description: The Mahua Leaf Image Dataset is a collection of high-resolution raw images of Mahua (Madhuca longifolia / Madhuca indica) plants captured under natural field conditions. The dataset has been developed under the NMICPS–TiHAN, IIT Hyderabad project, funded by the Department of Science and Technology (DST), Government of India, to support research in computer vision, federated learning, and drone-based precision agriculture.

The current release comprises unannotated raw images collected in real agricultural environments, exhibiting varying illumination conditions, background clutter, soil textures, and natural leaf litter. The images capture Mahua plants at different growth stages and show visible variability in leaf color, texture, and stress symptoms, reflecting realistic field scenarios.

This dataset is intended to serve as an initial open benchmark for research in plant health analysis, image classification, object detection, and decentralized (federated) learning frameworks. Expert-verified annotation and class-labeled versions (e.g., healthy, diseased, weed-affected) are planned as future updates.

The current release comprises unannotated raw images collected in real agricultural environments, exhibiting varying illumination conditions, background clutter, soil textures, and natural leaf litter. The images capture Mahua plants at different growth stages and show visible variability in leaf color, texture, and stress symptoms, reflecting realistic field scenarios.

This dataset is intended to serve as an initial open benchmark for research in plant health analysis, image classification, object detection, and decentralized (federated) learning frameworks. Expert-verified annotation and class-labeled versions (e.g., healthy, diseased, weed-affected) are planned as future updates.