cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7503985
title: Supplementary Data for "Internal gonopod reconstruction in an amber-preserved millipede from the Cretaceous: Laeviglyphiulus patrickmuelleri n. gen., n. sp. (Diplopoda, Spirostreptida, Cambalopsidae)"

description: This dataset contains the Supplementary Data for

Rühr, P.T. & Wesener, T. (xxx): Internal gonopod reconstruction in an amber-preserved millipede from the Cretaceous: Laeviglyphiulus patrickmuelleri n. gen., n. sp. (Diplopoda, Spirostreptida, Cambalopsidae). XXX XXX(xxx): xxx-xxx. doi: xxx.



μCT-Scanner: SKYSCAN 1272 (Brucker microCT, Kontich, Belgium) with Bruker Control Software 1.1.7

Reconstruction: Bruker NRecon v.1.7.3.1

Rotation and Cropping: Bruker DataViewer v.1.5.6.2

Resolution: 1.3 µm/pixel

The enhancement of local contrast (CLAHE) was done using Stefan Fischer's ImageJ macro:



http://stefischer.de/2019/06/12/apply-clahe-filter-on-a-stack-in-fiji/
DOI: 10.3886/e209441
title: Central Bank Digital Currency and Privacy: A Randomized Survey Experiment

description: Privacy protection is among the key features to consider in the design of central bank digital currency (CBDC). Using a nationally representative sample of over 3,500 participants, we conduct a randomized online survey experiment to examine how the willingness to use CBDC as a means of payment varies with the degree of privacy protection and information provision on the privacy benefits of using CBDC. We find that both factors significantly increase participants’ willingness to use CBDC by up to 64% when purchasing privacy-sensitive products. Our findings provide useful insights regarding the design and the public’s adoption of CBDC.
DOI: 10.3886/e209441v1
title: Central Bank Digital Currency and Privacy: A Randomized Survey Experiment

description: Privacy protection is among the key features to consider in the design of central bank digital currency (CBDC). Using a nationally representative sample of over 3,500 participants, we conduct a randomized online survey experiment to examine how the willingness to use CBDC as a means of payment varies with the degree of privacy protection and information provision on the privacy benefits of using CBDC. We find that both factors significantly increase participants’ willingness to use CBDC by up to 64% when purchasing privacy-sensitive products. Our findings provide useful insights regarding the design and the public’s adoption of CBDC.
DOI: 10.14469/hpc/13642
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans G = -1796.676682, DG = -3.2

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13679
title: 4-OCH2Ph methylenecyclohexane, axial, G = -619.593429

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13686
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans G = -1796.676682, DG = -3.2 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13719
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13721
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13723
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 2nd step G = -1796.673222 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.15468/dl.zsxu56
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "TaxonKey is Insecta",
 "Year 2014-2024"
 ]
}

 The dataset's 6 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036516-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/13641
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13680
title: 4-OCH2Ph methylenecyclohexane, equatorial, G = -619.593697

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13685
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13708
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, =&gt; rot 4, G = -1718.301739

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13711
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, ==&gt; 2nd step G = -1796.669328, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13717
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, 2nd step, G = -1718.300756, DG = -1.11

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13867
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, rotamer 2, G =-1718.300968/-1718.301739 trans, ==&gt; alt pi-face, trans G = -1718.297726

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14089
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 /-1796.676682 trans ==&gt; alt pi-face, trans G = -1796.672195 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13692
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, ==&gt; 2nd step G = -1796.669328

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13704
title: B3LYP/Def2-TZVPP, GD3BJ, reactant chair axial R= CO2Et, G -541.218070

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13706
title: B3LYP/Def2-TZVPP, GD3BJ, reactant chair equatorial R= CO2Et, G = -541.219023

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13707
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans G = -1796.676682, DG = -3.2 ==&gt; 2nd step G = -1796.676291 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13713
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, rotamer 2, G =-1718.300968

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13714
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, =&gt; rot 4 G = -1718.301739 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13716
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, rot 2, 2nd step, G = -1718.300968, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13869
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 /-1796.676682 trans ==&gt; alt pi-face, trans G = -1796.672711

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13873
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 /-1796.676682 trans ==&gt; alt pi-face, trans G = -1796.672711 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13875
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, , G =-1718.300968/-1718.301739 trans, ==&gt; alt pi-face, trans G = -1718.297726 IRC ==&gt; 2nd step TS -1718.295460

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14286
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis alt pi-face G = -1796.674056 (-1796.676682)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14292
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis alt pi-face G = -1796.674056 (-1796.676682) IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13643
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans G = -1796.676682, DG = -3.2 IRC, stepsize = 20

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13701
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans G = -1796.676682, 2nd step G = -1796.676291

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13710
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, G = -1718.300845 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13720
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 2nd step G = -1796.673222

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13876
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, rotamer 2, G =-1718.300968/-1718.301739 trans, ==&gt; alt pi-face, trans G = -1718.297726 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13877
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis, G = -1796.671615 rot 2 -1796.675603 /-1796.676682 trans ==&gt; alt pi-face, trans G = -1796.672195

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14285
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans, alt pi-face 2nd step G = -1796.669178 ( -1796.676291)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14287
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, ==&gt; alt pi-face, trans G = -1718.297726 IRC ==&gt; 2nd step TS -1718.295460 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14289
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis alt pi-face , G = -1718.299128, DG = +1.6 (-1718.301739) IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14291
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair , cis alt pi-face from CO2Et structure TS ==&gt; 2nd step G=-1718.296019 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14303
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis alt pi-face G = -1796.674056 (-1796.676682) IRC =&gt; 2nd step G =-1796.673539

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13699
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, G = -1718.300845

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13705
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, =&gt; higher energy rot 2, G = -1718.301321

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13712
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis, rotamer 2, 2nd step, G = -1718.29899

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13722
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et trans, 2nd step, G = -1718.300756, DG = -1.11 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14284
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair CO2Et cis alt pi-face , G = -1718.299128, DG = +1.6 (-1718.301739)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14304
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, cis alt pi-face G = -1796.674056 (-1796.676682) IRC =&gt; 2nd step G =-1796.673539 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14305
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair OCH2Ph, trans alt pi-face from CO2Et structure TS 2nd step G = -1796.669178 ( -1796.676291) conformer 2 -1796.662947

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14290
title: B3LYP/Def2-TZVPP, GD3BJ, TS chair , cis alt pi-face from CO2Et structure TS ==&gt; 2nd step G=-1718.296019

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.27143532
title: <b>Alterations in Plasma Metabolites in Pulmonary Arterial Hypertension Secondary to Congenital Left-to-Right Shunt Heart Disease</b>

description: Pulmonary arterial hypertension (PAH) secondary to congenital left-to-right shunt heart disease (CL-RSHD) involves vascular remodeling, metabolic dysregulation, chronic inflammation, immune dysfunction, and oxidative stress. This study explored plasma metabolomic profiles in CL-RSHD-induced PAH patients compared to those with CL-RSHD alone and healthy controls. A total of 87 participants were included: 47 with CL-RSHD, 27 with CL-RSHD+PAH, and 13 healthy individuals. Plasma metabolomics was assessed using untargeted LC-MS. Significant differences in microbial species and metabolites were observed in CL-RSHD+PAH patients compared to both CL-RSHD and healthy groups.
DOI: 10.6084/m9.figshare.27143532.v2
title: <b>Alterations in Plasma Metabolites in Pulmonary Arterial Hypertension Secondary to Congenital Left-to-Right Shunt Heart Disease</b>

description: Pulmonary arterial hypertension (PAH) secondary to congenital left-to-right shunt heart disease (CL-RSHD) involves vascular remodeling, metabolic dysregulation, chronic inflammation, immune dysfunction, and oxidative stress. This study explored plasma metabolomic profiles in CL-RSHD-induced PAH patients compared to those with CL-RSHD alone and healthy controls. A total of 87 participants were included: 47 with CL-RSHD, 27 with CL-RSHD+PAH, and 13 healthy individuals. Plasma metabolomics was assessed using untargeted LC-MS. Significant differences in microbial species and metabolites were observed in CL-RSHD+PAH patients compared to both CL-RSHD and healthy groups.
DOI: 10.6084/m9.figshare.27143532.v1
title: <b>Alterations in Gut Microbiota and Plasma Metabolites in Pulmonary Arterial Hypertension Secondary to Congenital Left-to-Right Shunt Heart Disease</b>

description: Pulmonary arterial hypertension (PAH) secondary to congenital left-to-right shunt heart disease (CL-RSHD) involves vascular remodeling, metabolic dysregulation, chronic inflammation, immune dysfunction, and oxidative stress. This study explored plasma metabolomic profiles in CL-RSHD-induced PAH patients compared to those with CL-RSHD alone and healthy controls. A total of 87 participants were included: 47 with CL-RSHD, 27 with CL-RSHD+PAH, and 13 healthy individuals. Plasma metabolomics was assessed using untargeted LC-MS. Significant differences in microbial species and metabolites were observed in CL-RSHD+PAH patients compared to both CL-RSHD and healthy groups.
DOI: 10.15468/dl.e9np5q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is New Zealand Freshwater Fish Database",
 "HasGeospatialIssue is false",
 "Country is New Zealand",
 "Modified is 2024-08"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036523-240906103802322/datasets/export for details.
DOI: 10.15468/dl.cgjyjj
title: Occurrence Download

description: A dataset listing the 25 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "TaxonKey is Tracheophyta",
 "Year 2014-2024"
 ]
}

 The dataset's 25 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036517-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ec7nm
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungal communities in decaying poplar pins in Northeastern USA discovered by MycoPins method"
 ]
}

 The dataset includes 1380 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036525-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13866355
title: Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities - Supplementary Material

description: This dataset contains the bibs, data extraction (raw) and the list of selected studies that are part of our paper entitled: "Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities"
DOI: 10.5281/zenodo.13866356
title: Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities - Supplementary Material

description: This dataset contains the bibs, data extraction (raw) and the list of selected studies that are part of our paper entitled: "Contemporary Software Modernization: Strategies, Driving Forces, and Research Opportunities"
DOI: 10.5281/zenodo.6815346
title: Extraction and Analysis of Fictional Character Networks: A Survey

description: Description. Resources used in our survey of character network extraction and analysis methods. This version of the resources does not correspond to the published paper, but to a later update used in the (longer) arXiv/HAL version of the paper. The resources used in the original published paper are provided in v1.0.0.

Updates. The latest version of the data (especially the bibliographic table) is available on a GitHub page, which is easier to update: https://compnet.github.io/CharNetReview/. This Zenodo repository is no longer updated.

Citation. If you use these data or figures, please cite the following paper:



V. Labatut and X. Bost, “Extraction and Analysis of Fictional Character Networks: A Survey,” ACM Computing Surveys 52(5):89, 2019. ⟨hal-02173918⟩ DOI: 10.1145/3344548


@Article{Labatut2019,  author    = {Labatut, Vincent and Bost, Xavier},  title     = {Extraction and Analysis of Fictional Character Networks: A Survey},  journal   = {ACM Computing Surveys},  year      = {2019},  volume    = {52},  number    = {5},  pages     = {89},  doi       = {10.1145/3344548},}
DOI: 10.5281/zenodo.6815347
title: Extraction and Analysis of Fictional Character Networks: A Survey

description: Resources used in our survey of character network extraction and analysis methods. This version of the resources corresponds to the published paper. Later versions are updates used in the (longer) arXiv/HAL version of the paper. The latest version of the data (especially the bibliographic table) is available on a GitHub page, which is easier to update: https://compnet.github.io/CharNetReview/. This Zenodo repository is no longer updated. If you use these data or figures, please cite the following paper: V. Labatut and X. Bost, “<em>Extraction and Analysis of Fictional Character Networks: A Survey</em>,” ACM Computing Surveys 52(5):89, 2019. 〈hal-02173918〉 DOI: 10.1145/3344548
DOI: 10.5281/zenodo.6815359
title: Extraction and Analysis of Fictional Character Networks: A Survey

description: Description. Resources used in our survey of character network extraction and analysis methods. This version of the resources does not correspond to the published paper, but to a later update used in the (longer) arXiv/HAL version of the paper. The resources used in the original published paper are provided in v1.0.0.

Updates. The latest version of the data (especially the bibliographic table) is available on a GitHub page, which is easier to update: https://compnet.github.io/CharNetReview/. This Zenodo repository is no longer updated.

Citation. If you use these data or figures, please cite the following paper:



V. Labatut and X. Bost, “Extraction and Analysis of Fictional Character Networks: A Survey,” ACM Computing Surveys 52(5):89, 2019. ⟨hal-02173918⟩ DOI: 10.1145/3344548


@Article{Labatut2019,  author    = {Labatut, Vincent and Bost, Xavier},  title     = {Extraction and Analysis of Fictional Character Networks: A Survey},  journal   = {ACM Computing Surveys},  year      = {2019},  volume    = {52},  number    = {5},  pages     = {89},  doi       = {10.1145/3344548},}
DOI: 10.15468/dl.vbbhsv
title: Occurrence Download

description: A dataset containing 3043244961 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3043244961 records from 76638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036350-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zdf2y
title: Occurrence Download

description: A dataset listing the 36 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Finland",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "TaxonKey is Insecta",
 "Year 2014-2024"
 ]
}

 The dataset's 36 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036519-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6815109
title: Continuous Average Straightness Data

description: Description. Real-world data used to test our implementation of the average continuous Straightness, and associated results.

Source code. The source code is available on GitHub: https://github.com/CompNet/SpatialMeasures

Citation. If you use these data, please cite the following article:



V. Labatut, “Continuous Average Straightness in Spatial Graphs,” Journal of Complex Networks, 6(2):269–296, 2018. ⟨hal-01571212⟩ DOI: 10.1093/comnet/cnx033


@Article{Labatut2018,  author    = {Labatut, Vincent},  title     = {Continuous Average Straightness in Spatial Graphs},  journal   = {Journal of Complex Networks},  year      = {2018},  volume    = {6},  number    = {2},  pages     = {269-296},  doi       = {10.1093/comnet/cnx033},}
DOI: 10.5281/zenodo.6815110
title: Continuous Average Straightness Data

description: Description. Real-world data used to test our implementation of the average continuous Straightness, and associated results.

Source code. The source code is available on GitHub: https://github.com/CompNet/SpatialMeasures

Citation. If you use these data, please cite the following article:



V. Labatut, “Continuous Average Straightness in Spatial Graphs,” Journal of Complex Networks, 6(2):269–296, 2018. ⟨hal-01571212⟩ DOI: 10.1093/comnet/cnx033


@Article{Labatut2018,  author    = {Labatut, Vincent},  title     = {Continuous Average Straightness in Spatial Graphs},  journal   = {Journal of Complex Networks},  year      = {2018},  volume    = {6},  number    = {2},  pages     = {269-296},  doi       = {10.1093/comnet/cnx033},}
DOI: 10.5281/zenodo.6815049
title: Nerwip Corpus

description: Description. This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to highlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip, in order to evaluate and compare existing NER tools on biographic data.

The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.

It was constituted by Burcu Küpelioğlu during her end of study project, and then cleaned and corrected by Samet Atdağ during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 408 articles (v4).

Source code. The source code of our tool Nerwip is available online: https://github.com/CompNet/nerwip

License. The dataset is shared under a Creative Commons 0 license.

Citation. If you use this corpus, please cite the following article:



A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdağ & V. Labatut, 2013. ⟨hal-00849797⟩ - DOI: 10.1109/IcConSCS.2013.6632052


@InProceedings{Atdag2013,  author    = {Atdağ, Samet and Labatut, Vincent},  title     = {A Comparison of Named Entity Recognition Tools Applied to Biographical Texts},  booktitle = {2\textsuperscript{nd} International Conference on Systems and Computer Science},  year      = {2013},  pages     = {228-233},  address   = {Lille, FR},  publisher = {IEEE Publishing},  doi       = {10.1109/IcConSCS.2013.6632052},}