cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15005738
title: Data: Another Simple Test for the Presence of Multidomain Behaviour During Palaeointensity Experiments

description: SD_thresh_Out.csv - Data generated from simulations of IZZI protocol palaeointensity experiments.  The simulations were run with single domain type behaviour.  Naming conventions for parameters are similar to those found on the Standard Paleointensity Definitions website (https://earthref.org/PmagPy/SPD/home.html).

MD_thresh_Out.csv - Data generated from simulations of IZZI protocol palaeointensity experiments.  The simulations were run with multi-domain type behaviour.  Naming conventions for parameters are similar to those found on the Standard Palaeointensity Definitions website (https://earthref.org/PmagPy/SPD/home.html).

AraiPlot_XY_HighMD.txt - The X and Y co-ordinate points for a simulated Arai plot with a high degree of non-ideal behaviour.

parameter_noise_data.csv - Zig-Zag parameters calculated for a single Arai Plot with varying amounts of noise added.  The noise is sampled from a gaussian distribution with variances taken from https://doi.org/10.1029/2012GC004046.  The parameters broad_noise_TRM/NRM and narrow_noise_TRM/NRM give the noise applied to the x and y points,  broad and narrow denote the type of unblocking behaviour. The x and y points for the original Arai plot are given in x/y_noise_free.  The zig-zag statistics for the original Arai plot are given by parameters {statistic}_orig.  The suffix is then changed to denote whether the statistic was calculated with broad or narrow blocking noise applied.  The additional suffix _norm indicates that the value has been normalised by {statistic}_orig. 

zigzag_delta.csv - Contains zig-zag statistics calculated for a straigth Arai plot, which is then incrementally given a zig-zag by displacing points perpendicularly to the oringal Arai plot.  X and Y points are given along with the amount of displacement (delta) and the zig-zag statistics.

CurvatureData.csv - Contains zig-zag statistics calculated for an increasingly curved Arai plot with no zig-zag present.  The Arai plot points, zig-zag statistics and the curvature are included.

ExperimentalData.csv - Selected statistics for experimental data where the expected field is known.  Includes the accuracy, natural log of the accuray (Acc), basic selection statistics and zig-zag selection statistics.
DOI: 10.15468/dl.b7uwgn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Exochomus metallicus Korschefsky, 1935",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008833-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6xmgm
title: Occurrence Download

description: A dataset containing 4420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-122.12381 37.32898,-121.85758 37.05907,-121.47639 37.22306,-121.74262 37.49719,-122.12381 37.32898))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Puma concolor (Linnaeus, 1771), Lynx rufus (Schreber, 1777), Taxidea taxus (Schreber, 1777), Odocoileus hemionus (Rafinesque, 1817), Odocoileus hemionus columbianus (Richardson, 1829), Rana draytonii Baird & Girard, 1852, Otospermophilus beecheyi (Richardson, 1829), Ambystoma californiense Gray, 1853, Actinemys pallida (Seeliger, 1945))"
 ]
}

 The dataset includes 4420 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008836-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10377222
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows.

For further details see the ECI GitLab site: README and main "tps" folder.

Credits:

Concepts: E Schymanski, E Bolton, J Zhang, T Cheng;

Code (in R): E Schymanski, R Helmus, P Thiessen

Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists!

PubChem infrastructure: PubChem team

Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files)

Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.10998412
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows.

For further details see the ECI GitLab site: README and main "tps" folder.

Credits:

Concepts: E Schymanski, E Bolton, J Zhang, T Cheng;

Code (in R): E Schymanski, R Helmus, P Thiessen

Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists!

PubChem infrastructure: PubChem team

Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files)

Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.5644561
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team. Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.7041946
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team. Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.7089524
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.7838005
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files) Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.8117741
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files) Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.8192445
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows. For further details see the ECI GitLab site: README and main "tps" folder. Credits: Concepts: E Schymanski, E Bolton, J Zhang, T Cheng; Code (in R): E Schymanski, R Helmus, P Thiessen Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists! PubChem infrastructure: PubChem team Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files) Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!
description: These files are in active development; formats may change in future versions
DOI: 10.5281/zenodo.15025849
title: Transformations in PubChem - Full Dataset

description: This is an archive of the data contained in the "Transformations" section in PubChem for integration into patRoon and other workflows.

For further details see the ECI GitLab site: README and main "tps" folder.

Credits:

Concepts: E Schymanski, E Bolton, J Zhang, T Cheng;

Code (in R): E Schymanski, R Helmus, P Thiessen

Transformations: E Schymanski, J Zhang, T Cheng and many contributors to various lists!

PubChem infrastructure: PubChem team

Reaction InChI (RInChI) calculations (v1.0): Gerd Blanke (previous versions of these files)

Acknowledgements: ECI team who contributed to related efforts, especially: J. Krier, A. Lai, M. Narayanan, T. Kondic, P. Chirsir, E. Palm. All contributors to the NORMAN-SLE transformations!

March 2025 released as v0.2.0 since the dataset grew by >3000 entries! The stats are: 

## 14 March 2025

# Unique Transformation Entries: 10904# Unique Reactions by CID: 9152# Unique Reactions by IK: 9139# Unique Reactions by IKFB: 8574# Unique NORMAN-SLE Compounds by CID: 8207# Unique ChEMBL Compounds by CID: 1419# Unique Compounds (all) by CID: 9267# Unique Predecessors (all) by CID: 3724# Unique Successors (all) by CID: 7331# Range of XlogP Differences: -9.9,10# Range of Mass Differences: -957.97490813,820.227106427
description: These files are in active development; formats may change in future versions
DOI: 10.15468/dl.yjw2ws
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erotelis smaragdus (Valenciennes, 1837)"
 ]
}

 The dataset includes 359 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008837-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7x928f0
title: Connecting River Systems Restoration Assessment Composite Model (2016)

description: Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of the connecting rivers (Detroit River and St. Clair River). The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
DOI: 10.15468/dl.9d26kw
title: Occurrence Download

description: A dataset containing 186968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.6505 36.48431,-82.4493 36.48431,-82.4493 36.57681,-82.6505 36.57681,-82.6505 36.48431))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 186968 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008798-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8hktt
title: Occurrence Download

description: A dataset containing 5911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Continent is Europe",
 "Country is Portugal",
 "Geometry POLYGON((-9.69742 37.04019,-6.09907 37.04019,-6.09907 42.01883,-9.69742 42.01883,-9.69742 37.04019))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5911 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008838-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6870895
title: European Union AI Act 2024
DOI: 10.14457/tu.res.2025.2
title: ปัญหาในการทำสัญญาหลักประกันทางธุรกิจเป็นหนังสือและจดทะเบียนตามพระราชบัญญัติหลักประกันทางธุรกิจ พ.ศ. 2558: รายงานฉบับสมบูรณ์

description: งานวิจัยฉบับนี้มุ่งศึกษาประเด็นปัญหาว่ามาตรา 13 เป็นแบบของสัญญาหลักประกันทางธุรกิจหรือไม่ และปัญหาว่าการที่ระบบจดทะเบียนตามพระราชบัญญัติหลักประกันทางธุรกิจต่างจากการจดทะเบียนจำนอง แสดงว่าการจดทะเบียนไม่ใช่แบบเช่นเดียวกับหลักการของกฎหมายหลักประกันสมัยใหม่ใช่หรือไม่ ในปัญหาดังกล่าว ผู้วิจัยได้วิเคราะห์เหตุผลที่มาสนับสนุนความคิดของฝ่ายที่เห็นว่ามาตรา 13 เป็นแบบและฝ่ายที่เห็นว่าเป็นเงื่อนไขในการยกเอาสิทธิตามสัญญาขึ้นยันบุคคลภายนอก ความเป็นมาในการร่างพระราชบัญญัติหลักประกันทางธุรกิจ พ.ศ. 2558 ถ้อยคำของบทบัญญัติมาตรา 13 การจัดหมวดหมู่ของบทบัญญัติมาตรา 13 ตลอดจนความสอดคล้องกับบทบัญญัติมาตราอื่น ๆ นอกจากนี้ เนื่องจากมีการนำเอาหลักการของกฎหมายหลักประกันสมัยใหม่ที่ยอมรับกันในทางระหว่างประเทศ (intertionally accepted standards) และหลักกฎหมายต่างประเทศมาอ้างอิงประกอบการตีความ ผู้วิจัยจึงได้ศึกษาหลักการของกฎหมายหลักประกันสมัยใหม่ที่เสนอโดย Europen Bank of Reconstruction and Development, Organisation pour l’ Harmonization en Afrique du Droit, Study Group on European Civil Code and the Research Group on EC Private Law (Acquis Group) และ United Nation Commission on International Trade Law ว่ามีหลักการในเรื่องแบบของสัญญาหลักประกันและการจดทะเบียนอย่างไร ตลอดจนได้ศึกษากฎหมายของต่างประเทศในเรื่องดังกล่าวว่าสอดคล้องกับหลักการของกฎหมายหลักประกันสมัยใหม่หรือไม่และสามารถนำมาใช้เป็นแนวทางในการตีความบทบัญญัติมาตรา 13 ได้หรือไม่ โดยผู้วิจัยได้ศึกษากฎหมายของประเทศต่าง ๆ 3 กลุ่ม คือ กลุ่มประเทศที่ได้รับอิทธิพลจากระบบกฎหมายอังกฤษ กลุ่มประเทศที่ได้รับอิทธิพลจากระบบกฎหมายหลักประกันของประเทศสหรัฐอเมริกา และกลุ่มประเทศที่มีประมวลกฎหมายแพ่งและพาณิชย์ อีกทั้ง ในการพิจารณาว่าการจดทะเบียนเป็นแบบของสัญญาหลักประกันทางธุรกิจ ฯ หรือไม่ ผู้วิจัยยังได้ศึกษาว่าการจดทะเบียนหลักประกันรูปแบบต่าง ๆ ว่าแต่ละรูปแบบมีลักษณะและวัตถุประสงค์อย่างไร จากการศึกษาดังกล่าวข้างต้นพบว่า หากตีความว่าบัญญัติมาตรา 13 ไม่ใช่แบบของสัญญาหลักประกันทางธุรกิจฯ ตามยอมรับกันในกฎหมายหลักประกันสมัยใหม่ จะมีปัญหาความไม่สอดคล้องกับ ถ้อยคำของบทบัญญัติมาตรา 13 เอง และบทบัญญัติมาตราอื่น ๆ ที่เกี่ยวข้อง ตลอดจนไม่สอดคล้องกับการจัดหมวดหมู่ของบทบัญญัติมาตรา 13 และความเป็นมาในการร่างพระราชบัญญัติหลักประกันทางธุรกิจฯ อีกทั้งแม้การจดทะเบียนตามพระราชบัญญัติหลักประกันทางธุรกิจฯ จะแตกต่างจากการจดทะเบียนจำนอง การจดทะเบียนดังกล่าวก็ยังมีความแตกต่างจากการจดทะเบียนตามหลักการของกฎหมายหลักประกันสมัยใหม่ (notice registration/filing) อยู่มาก ดังนั้น ผู้วิจัยจึงได้เสนอแนวทางแก้ไขพระราชบัญญัติหลักประกันทางธุรกิจฯ เพื่อให้พระราชบัญญัติหลักประกันทางธุรกิจฯ มีความสอดคล้องกับหลักการของกฎหมายหลักประกันสมัยใหม่
DOI: 10.23696/vdemds25
title: V-Dem Dataset v15
DOI: 10.15468/dl.25t33v
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crabbea acaulis N.E.Br., Crabbea velutina S.Moore)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 312 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008839-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/f378144d8752481934bfc6610bd2bfc6
title: Sawgrass Above and Below Ground Total Nitrogen and Total Carbon from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, March 2002 - ongoing

description: Once a year during the dry season (Dec-May) three live sawgrass plants are collected from each site. These plants are divided into their live above and live below ground parts. Then both the above and below ground parts are analyzed for TN, TC, and TP.
DOI: 10.21227/f4jr-k711
title: ECG, IMUs, and Foot Plantar Pressure Signals for Gait and Health Monitoring

description: This dataset was collected to support research on the screening and diagnosis of Diabetic Peripheral Neuropathy (DPN) and Cardiac Autonomic Neuropathy (CAN) using wearable sensor technology. It includes synchronized data from gait analysis and physiological signals such as electrocardiogram (ECG), heart rate variability (HRV), and inertial measurement units (IMUs) obtained from individuals with and without DPN and CAN. The data was recorded using a BioSignalsPlux Explorer Kit for ECG recording during motion, thigh and shank-mounted IMU sensors under controlled walking conditions for gait analysis and foot plantar pressure data using in-shoe pressure sensor i.e. ZNX-01. Each subject’s dataset includes relevant feature points that can help in distinguishing  DPN and CAN patients in clinical environment based on standard diagnostic assessments. This dataset can be used to develop and validate machine learning models, feature extraction algorithms, and signal analysis techniques for DPN and CAN screening and classification. The dataset is anonymized and ethically approved by the institutional review board of Peoples University of Medical and Health Sciences, Nawabshah (PUMHs). It is intended for researchers, clinicians, and developers working in biomedical signal processing, digital health, and assistive diagnostic technologies.
DOI: 10.15468/dl.ywubuz
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oomyzus sokolowskii (Kurdjumov, 1912)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008840-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z836pw
title: Occurrence Download

description: A dataset listing the 25575 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset's 25575 records were derived from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008834-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34992/v2vb-2t18
title: Southern Hudson Bay - James Bay Rosette CTD Data 2021
DOI: 10.15468/dl.pmzxev
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.211201360279482 36.619610849437976,-7.354058503136621 36.619610849437976,-7.354058503136621 40.47675370658084,-11.211201360279482 40.47675370658084,-11.211201360279482 36.619610849437976))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triadica sebifera (L.) Small"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008841-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15020489
title: Developer Activity Dataset

description: This dataset was created to study developer expertise and ranking in open-source projects, based on contributions, interactions, and technical proficiency. It includes developer activity from the top 10 trending Python repositories on GitHub, capturing key metrics such as:



Zipf’s Law (Syntax Proficiency) – Measures a developer's familiarity with programming constructs.

Degree of Knowledge (DoK) – Represents expertise based on long-term engagement in a project.

Network Centrality – Evaluates a developer's collaborative influence within the repository.


The dataset is structured to support research in expertise evaluation, software engineering analytics, and developer collaboration.
DOI: 10.5281/zenodo.15020488
title: Developer Activity Dataset

description: This dataset was created to study developer expertise and ranking in open-source projects, based on contributions, interactions, and technical proficiency. It includes developer activity from the top 10 trending Python repositories on GitHub, capturing key metrics such as:



Zipf’s Law (Syntax Proficiency) – Measures a developer's familiarity with programming constructs.

Degree of Knowledge (DoK) – Represents expertise based on long-term engagement in a project.

Network Centrality – Evaluates a developer's collaborative influence within the repository.


The dataset is structured to support research in expertise evaluation, software engineering analytics, and developer collaboration.