cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7tshdk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.26.47_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 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008718-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18243277
title: Aristida murina Cav. 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.18243278
title: Aristida murina Cav. 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.18243289
title: UTMP Wedge 3 (Full Folder): mu-weighted airline robustness routing — WEDGE3_DEPLOY_20260114_110807Z

description: Full-folder archive for UTMP Wedge 3 deployment run. Contains all generated artifacts (data extracts, plots, JSON reports, manifests, hashes). Run folder: WEDGE3_DEPLOY_20260114_110807Z. ZIP sha256: 68209997ef0a19b4721465257d6ee194007c9fb4332b33e6118d30dbf5644561.
DOI: 10.5281/zenodo.18243288
title: UTMP Wedge 3 (Full Folder): mu-weighted airline robustness routing — WEDGE3_DEPLOY_20260114_110807Z

description: Full-folder archive for UTMP Wedge 3 deployment run. Contains all generated artifacts (data extracts, plots, JSON reports, manifests, hashes). Run folder: WEDGE3_DEPLOY_20260114_110807Z. ZIP sha256: 68209997ef0a19b4721465257d6ee194007c9fb4332b33e6118d30dbf5644561.
DOI: 10.3886/e243822
title: Replication Package for: Differently Educated US Couples and Their Work‐Family Arrangements, 1968–2023

description: This is the replication package for the journal article forthcoming at Journal of Marriage and Family and entitled: Differently Educated US Couples and Their Work‐Family Arrangements, 1968–2023<br><br><b>ABSTRACT</b><br><br><b>Objective </b>This brief report examines how couples' education pairings relate to their work‐family arrangements in the United States from 1968 to 2023, focusing on differently educated couples.<b>Background </b>The reversal of the gender gap in education has increased couples where women have more education than their male partners, with implications for how couples divide paid and unpaid labor; yet research on historical trends in work‐family arrangements has often overlooked the gendered nature of educational resources within couples.<b>Method </b>Using the Panel Study of Income Dynamics (1968–2023), we categorize couples into six work‐family arrangements and analyze the changing associations between education pairings and work‐family arrangements over time using multinomial logistic regression models.<b>Results </b>Work‐family arrangements are stratified by gender and education. Hypogamous couples show a higher likelihood of her‐second‐shift and egalitarian arrangements with a declining probability of male‐breadwinner arrangements. Hypergamous couples maintain the highest male‐breadwinner probability and are underrepresented where women's labor market participation equals or exceeds men's. Hypogamous/hypergamous patterns appear across all educational levels but are most pronounced at completion thresholds, particularly college graduation. Among egalitarian and her‐second‐shift arrangements, educational gradients are stronger and more continuous across levels among hypogamous than hypergamous couples.<b>Implications</b> Educational resources operate distinctly by gender within couples, underscoring the importance of distinguishing between differently educated couples rather than using gender‐neutral measures of couple‐level education when studying work‐family dynamics.
DOI: 10.3886/e243822v1
title: Replication Package for: Differently Educated US Couples and Their Work‐Family Arrangements, 1968–2023

description: This is the replication package for the journal article forthcoming at Journal of Marriage and Family and entitled: Differently Educated US Couples and Their Work‐Family Arrangements, 1968–2023<br><br><b>ABSTRACT</b><br><br><b>Objective </b>This brief report examines how couples' education pairings relate to their work‐family arrangements in the United States from 1968 to 2023, focusing on differently educated couples.<b>Background </b>The reversal of the gender gap in education has increased couples where women have more education than their male partners, with implications for how couples divide paid and unpaid labor; yet research on historical trends in work‐family arrangements has often overlooked the gendered nature of educational resources within couples.<b>Method </b>Using the Panel Study of Income Dynamics (1968–2023), we categorize couples into six work‐family arrangements and analyze the changing associations between education pairings and work‐family arrangements over time using multinomial logistic regression models.<b>Results </b>Work‐family arrangements are stratified by gender and education. Hypogamous couples show a higher likelihood of her‐second‐shift and egalitarian arrangements with a declining probability of male‐breadwinner arrangements. Hypergamous couples maintain the highest male‐breadwinner probability and are underrepresented where women's labor market participation equals or exceeds men's. Hypogamous/hypergamous patterns appear across all educational levels but are most pronounced at completion thresholds, particularly college graduation. Among egalitarian and her‐second‐shift arrangements, educational gradients are stronger and more continuous across levels among hypogamous than hypergamous couples.<b>Implications</b> Educational resources operate distinctly by gender within couples, underscoring the importance of distinguishing between differently educated couples rather than using gender‐neutral measures of couple‐level education when studying work‐family dynamics.
DOI: 10.5281/zenodo.18243290
title: Aristida pallens Cav. 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.18243291
title: Aristida pallens Cav. 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.18243192
title: Seed_consumption_data
DOI: 10.5281/zenodo.18243191
title: Seed_consumption_data
DOI: 10.5281/zenodo.18243301
title: Aristida pallens f. filifolia Arechav. 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.18243300
title: Aristida pallens f. filifolia Arechav. 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.17994854
title: Data for "Suspended Sediment Can Suppress Estuarine Circulation Through Lateral Dynamics"

description: The NetCDF files contain diagnostics of estuarine circulation, including the peak cross-sectionally averaged lateral circulation intensity (max_value) and its timing within a tidal cycle (max_index). They also include the total estuarine circulation (total) and its decomposition into straining (strain), gravitational (grav), and advective (adv) components. All variables are provided as functions of the imposed longitudinal salinity gradient. "A" indicates SalDG-only scenarios, while "C" indicates SalDG-SedDG coupled scenarios.
DOI: 10.5281/zenodo.17994855
title: Data for "Suspended Sediment Can Suppress Estuarine Circulation Through Lateral Dynamics"

description: The NetCDF files contain diagnostics of estuarine circulation, including the peak cross-sectionally averaged lateral circulation intensity (max_value) and its timing within a tidal cycle (max_index). They also include the total estuarine circulation (total) and its decomposition into straining (strain), gravitational (grav), and advective (adv) components. All variables are provided as functions of the imposed longitudinal salinity gradient. "A" indicates SalDG-only scenarios, while "C" indicates SalDG-SedDG coupled scenarios.
DOI: 10.5281/zenodo.18238885
title: Practitioner Views on Mobile App Accessibility: Practices and Challenges

description: This is the dataset for the paper: Practitioner Views on Mobile App Accessibility: Practices and Challenges

This paper was accepted for publication at the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026) - Research Track

Artifacts

The table below describes the artifacts associated with this study.




File
Purpose




SurveyResponse.csv



The results of the online survey. This file contains only responses from participants who completed all required survey questions.





SurveyQuestions.docx



These files contain the survey questions in the form they were presented to participants. It is in Word document format.





Free-Text-Reponses-Categorized.xlsx



This file is related to survey questions #15, #17, #18, #19, #21, #22, #23, and #24. It is a manual categorization of free-text responses by the authors.





multichoice-questions*.csv



The files in this directory show the frequency of occurrence for the answer options associated with single-choice and multi-choice questions.





code\



Python code to generate the Likert charts, answer frequency CSV files, and analysis of other survey responses.





LICENSE.txt



Open-source license compliant with OSI.





Code

The code is written in Python.

Code Files



requirements.txt - Required packages

MultiChoiceAnalysis.py - This file contains the logic to analyze the multichoice questions to generate the frequency of occurrence of the answer options. The csv files are created in the parent directory

analysis.ipynb - This file reads SurveyResponse.csv (in the parent directory) and has the code to generate the likert charts and calls MultiChoiceAnalysis.py. The Likert charts are created in the parent directory.


Code Execution



Create a Python virtual environment:

python -m venv venv


Activate the virtual environment:

 venv\Scripts\activate


Install packages

 pip install -r requirements.txt


Run the Python notebook:

 jupyter notebook



Output

The CSV and PDF files will be created in the parent directory.The Likert charts (i.e., PDF files) are created in a directory called "likert-figures"The CSV files are created in a directory called "multichoice-questions"Elements from the CSV files are part of the write-up in the Results section of the manuscript. The numeric digits that are part of the file name correspond to the survey question.The data present in Tables 2 to 4 in the manuscript is obtained from the CSV/XLSX files. Specifically:

 



Table 2 - \multichoice-questions\survey-12-frequency_single_choice.csv

Table 3 - \multichoice-questions\survey-14-frequency_single_choice.csv

Table 4 - \Free-Text-Reponses-Categorized.xlsx~Survey_Q22


Note: We include these output files in the artifacts package by default. The user can delete these directories and run the code to regenerate the files.
DOI: 10.5281/zenodo.18238886
title: Practitioner Views on Mobile App Accessibility: Practices and Challenges

description: This is the dataset for the paper: Practitioner Views on Mobile App Accessibility: Practices and Challenges

This paper was accepted for publication at the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026) - Research Track

Artifacts

The table below describes the artifacts associated with this study.




File
Purpose




SurveyResponse.csv



The results of the online survey. This file contains only responses from participants who completed all required survey questions.





SurveyQuestions.docx



These files contain the survey questions in the form they were presented to participants. It is in Word document format.





Free-Text-Reponses-Categorized.xlsx



This file is related to survey questions #15, #17, #18, #19, #21, #22, #23, and #24. It is a manual categorization of free-text responses by the authors.





multichoice-questions*.csv



The files in this directory show the frequency of occurrence for the answer options associated with single-choice and multi-choice questions.





code\



Python code to generate the Likert charts, answer frequency CSV files, and analysis of other survey responses.





LICENSE.txt



Open-source license compliant with OSI.





Code

The code is written in Python.

Code Files



requirements.txt - Required packages

MultiChoiceAnalysis.py - This file contains the logic to analyze the multichoice questions to generate the frequency of occurrence of the answer options. The csv files are created in the parent directory

analysis.ipynb - This file reads SurveyResponse.csv (in the parent directory) and has the code to generate the likert charts and calls MultiChoiceAnalysis.py. The Likert charts are created in the parent directory.


Code Execution



Create a Python virtual environment:

python -m venv venv


Activate the virtual environment:

 venv\Scripts\activate


Install packages

 pip install -r requirements.txt


Run the Python notebook:

 jupyter notebook



Output

The CSV and PDF files will be created in the parent directory.The Likert charts (i.e., PDF files) are created in a directory called "likert-figures"The CSV files are created in a directory called "multichoice-questions"Elements from the CSV files are part of the write-up in the Results section of the manuscript. The numeric digits that are part of the file name correspond to the survey question.The data present in Tables 2 to 4 in the manuscript is obtained from the CSV/XLSX files. Specifically:

 



Table 2 - \multichoice-questions\survey-12-frequency_single_choice.csv

Table 3 - \multichoice-questions\survey-14-frequency_single_choice.csv

Table 4 - \Free-Text-Reponses-Categorized.xlsx~Survey_Q22


Note: We include these output files in the artifacts package by default. The user can delete these directories and run the code to regenerate the files.
DOI: 10.15468/dl.rjhg9t
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.12.21_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/0008719-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18243309
title: Aristida pallens f. jubata Arechav. 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.18243310
title: Aristida pallens f. jubata Arechav. 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.ukq723
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.26.48_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 160 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008720-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shxuvy
title: Occurrence Download

description: A dataset containing 116901 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 116901 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008711-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18243319
title: Aristida pallens f. rubelliana Arechav. 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.18243320
title: Aristida pallens f. rubelliana Arechav. 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.fxd8hp
title: Occurrence Download

description: A dataset containing 92894 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera japonica"
 ]
}

 The dataset includes 92894 records from 990 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008597-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244108
title: F. C. T. Abuja School Of Nursing (S.O.N.), Gwagwalada 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: F. C. T. Abuja School Of Nursing (S.O.N.), Gwagwalada 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.15468/dl.qcb76z
title: Occurrence Download

description: A dataset containing 38543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dreissena polymorpha"
 ]
}

 The dataset includes 38543 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008722-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4fd3v
title: Occurrence Download

description: A dataset containing 133295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis biennis",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 133295 records from 801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008620-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/rpfzld
title: Physicochemical Characterization of dECMMA

description: Fourier-transform infrared spectroscopy (FTIR) spectra comparing the chemical composition of dECMMA and unmodified dECMRheological analysis demonstrating gelation kinetics of dECMMA hydrogel under UV irradiationRheological analysis demonstrating gelation kinetics of dECMMA hydrogel under UV irradiation in the absence of photoinitiator
DOI: 10.22002/748yc-s4z24
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-11-08</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-57.0°, 57.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-65/rawdata/</p>Fjoh4_32.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-65/rawdata/Fjoh4_32.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh4_32_part39_9.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-65/3dimage_98556/Fjoh4_32_part39_9.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16883638
title: 100 Projetcts Code Minimaps

description: Dataset Description – Software Feature Detection using Source Code MinimapsThe dataset consists of minimaps of source code files (grayscale PNG images, fixed resolution of128×128 pixels), each representing one original source code file from a software project. Theseminimaps were extracted from the source code and indexed in a catalog file (`catalog.csv`)containing metadata for each image. Each row in the CSV contains: - image: unique imageidentifier (`.png`), used as key. - type: programming language or file type (e.g., `js`, `python`,`yaml`). - project: original project/repository (e.g., `NodeBB`, `ansible`, `Rocket.Chat`). -file_path: relative directory of the original file within the project. - file_name: original filename in the repository. - author: name or alias of the commit authorassociated with the file.