cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6814206
title: Mataws annotated Web service collection

description: Description. The Mataws annotated Web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws. Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically.

Our collection is based primarily on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess the quality of annotation of Mataws.

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

License. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors.

Citation. If you use our dataset, please cite the following article:



Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. ⟨hal-00620566⟩ - DOI: 10.1007/978-3-642-22185-9_27


@InProceedings{Aksoy2011,  author    = {Aksoy, Cihan and Labatut, Vincent and Cherifi, Chantal and Santucci, Jean-François},  title     = {{MATAWS}: A Multimodal Approach for Automatic WS Semantic Annotation},  booktitle = {3\textsuperscript{rd} International Conference on Networked Digital Technologies},  year      = {2011},  volume    = {136},  series    = {Communications in Computer and Information Science},  pages     = {319-333},  address   = {Macau, CN},  publisher = {Springer},  doi       = {10.1007/978-3-642-22185-9_27},}
DOI: 10.5281/zenodo.6814207
title: Mataws annotated Web service collection

description: Description. The Mataws annotated Web service collection is a set of WS descriptions under the WSDL and OWL-S formats. It contains 816 descriptions, which were originally only syntactically described, and were annotated using our tool Mataws. Consequently, each description appears twice (once in a syntactical version, and once in a semantic version). The descriptions are also classified thematically.

Our collection is based primarily on the FullDataset collection of the Assam project (http://www.andreas-hess.info/projects/annotator/), which we extended using WS descriptions found on the web. These individual files were classified thematically with the rest of the WSDL files, and used to assess the quality of annotation of Mataws.

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

License. The annotated descriptions are shared under a Creative Commons 0 license. The original descriptions belong to their authors.

Citation. If you use our dataset, please cite the following article:



Aksoy, C., Labatut, V., Cherifi, C. & Santucci, J.-F (2011). MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation. In International Conference on Networked Digital Technologies. Macau, CN : Springer. ⟨hal-00620566⟩ - DOI: 10.1007/978-3-642-22185-9_27


@InProceedings{Aksoy2011,  author    = {Aksoy, Cihan and Labatut, Vincent and Cherifi, Chantal and Santucci, Jean-François},  title     = {{MATAWS}: A Multimodal Approach for Automatic WS Semantic Annotation},  booktitle = {3\textsuperscript{rd} International Conference on Networked Digital Technologies},  year      = {2011},  volume    = {136},  series    = {Communications in Computer and Information Science},  pages     = {319-333},  address   = {Macau, CN},  publisher = {Springer},  doi       = {10.1007/978-3-642-22185-9_27},}
DOI: 10.5281/zenodo.13866559
title: UC-HILIC vs RP analysis of water samples

description: UC-HILIC-HRMS vs RP-HRMS data acqusition in DDA of water samples (effluent and surfacewater).
DOI: 10.5281/zenodo.13866560
title: UC-HILIC vs RP analysis of water samples

description: UC-HILIC-HRMS vs RP-HRMS data acqusition in DDA of water samples (effluent and surfacewater).
DOI: 10.5281/zenodo.6395874
title: Graphic Novel Character Networks and Statistics

description: Description. This dataset contains the character networks extracted from the graphic novel Thorgal, as well as the statistics and plots produced when analyzing these networks.

Source code. The source code used to produce these files is available on GitHub: https://github.com/CompNet/NaNet

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



V. Labatut, “Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal,” Advances in Complex Systems, p. 22400033, 2022. ⟨hal-03694768⟩ - DOI: 10.1142/S0219525922400033


@Article{Labatut2022,  author    = {Labatut, Vincent},  title     = {Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée {T}horgal},  journal   = {Advances in Complex Systems},  year      = {2022},  volume    = {25},  number    = {5\&6},  pages     = {2240003},  doi       = {10.1142/S0219525922400033},}
DOI: 10.5281/zenodo.6395875
title: Graphic Novel Character Networks and Statistics

description: This dataset contains the character networks extracted from the graphic novel Thorgal, as well as the statistics and plots produced when analyzing these networks. This work is currently under review. The source code used to produce these files is available on GitHub: https://github.com/CompNet/NaNet
DOI: 10.5281/zenodo.6573491
title: Graphic Novel Character Networks and Statistics

description: Description. This dataset contains the character networks extracted from the graphic novel Thorgal, as well as the statistics and plots produced when analyzing these networks.

Source code. The source code used to produce these files is available on GitHub: https://github.com/CompNet/NaNet

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



V. Labatut, “Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal,” Advances in Complex Systems, p. 22400033, 2022. ⟨hal-03694768⟩ - DOI: 10.1142/S0219525922400033


@Article{Labatut2022,  author    = {Labatut, Vincent},  title     = {Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée {T}horgal},  journal   = {Advances in Complex Systems},  year      = {2022},  volume    = {25},  number    = {5\&6},  pages     = {2240003},  doi       = {10.1142/S0219525922400033},}
DOI: 10.15468/dl.7h57nw
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-67.15172 -18.0038, -67.03464 -18.0038, -67.03464 -17.90487, -67.15172 -17.90487, -67.15172 -18.0038))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 459 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036541-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk362x
title: Occurrence Download

description: A dataset containing 5689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Carex pendula Huds., Carex agastachys L.f.)"
 ]
}

 The dataset includes 5689 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036542-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvp5we
title: Occurrence Download

description: A dataset containing 2348399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-91.05061 19.00482, -87.54082 19.00482, -87.54082 21.6081, -91.05061 21.6081, -91.05061 19.00482))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 2348399 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036518-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6815312
title: Conversational Networks For Automatic Online Moderation

description: Figures and data used in the following articles : É. Papégnies, V. Labatut, R. Dufour, and G. Linarès, “Conversational Networks for Automatic Online Moderation,” <em>IEEE Transactions on Computational Social Systems </em>6(1):38–55, 2019. 〈hal-01999546〉 DOI: 10.1109/tcss.2018.2887240 N. Cécillon, V. Labatut, R. Dufour, and G. Linarès, “Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features,” in <em>International Workshop on Modeling and Mining Socia-Media Driven Complex Networks</em>, 2019, Frontiers in Big Data 2:8. 〈hal-02130205〉 DOI: 10.3389/fdata.2019.00008 The graphs correspond to conversational networks extracted from the chat messages exchanged by players of an MMORPG, using the method described in the first paper. Those are used in the papers to train a classifier into recognizing abusive messages. See the papers for more details. If you use this dataset, please cite the first paper. Funding: part of this work was funded by a grant from the <em>Provence-Alpes-Côte-d'Azur</em> region (PACA, France) and the <em>Nectar de Code</em> company.
DOI: 10.15468/dl.zsku2y
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Barbarea vulgaris (L.) W.T.Aiton",
 "Year 1786-2024"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036543-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaqmfz
title: Occurrence Download

description: A dataset containing 26734 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database of Vascular Plants of Himalaya"
 ]
}

 The dataset includes 26734 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036544-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgtmqb
title: Occurrence Download

description: A dataset containing 918716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Acacia Mill.",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, INVASIVE, NATURALISED)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match higher rank)"
 ]
 }
 }
 ]
}

 The dataset includes 918716 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036526-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.523v39
title: Occurrence Download

description: A dataset containing 31936 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Records of Avifauna of Wetlands around Keoladeo National Park, Bharatpur, India"
 ]
}

 The dataset includes 31936 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036546-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13866734
title: 「愛媛県のカシノナガキクイムシ」のサポートデータ

description: 「愛媛県のカシノナガキクイムシ」(吉富博之・酒口諒也)のサポートデータ
DOI: 10.5281/zenodo.13866735
title: 「愛媛県のカシノナガキクイムシ」のサポートデータ

description: 「愛媛県のカシノナガキクイムシ」(吉富博之・酒口諒也)のサポートデータ
DOI: 10.21227/6gwn-fg57
title: IEEE Region 8 Climate Challenges - AI in Enhanced Weather Forecasting

description: As a result of climate change, extreme weather events are becoming increasingly frequent and resulting in a growing need for more accurate real-time updated weather prediction where short term weather forecasting (nowcasting) is gaining critical importance. With availability of real-time open-source data such as Numerical Weather Prediction (NWP) forecasts, satellite and weather radar imagery, and localized weather measurements, new and interdisciplinary possibilities are emerging in the way weather forecasts are generated. Multi-modal real-time data can now be paired with machine learning approaches to improve the accuracy and reliability of weather predictions. Similar approaches are already being recognized with example initiatives by world’s leading companies and associations in the domain of meteorology and artificial intelligence. The purpose of the challenge is to gather all the experts in the domains, exchange approaches and algorithms, and pinpoint guidelines towards worldwide coverage of improving the accuracy of weather forecasting.The aim of this competition is to leverage multi-source and multi-modal weather data and combine them with statistic and machine learning algorithms to generate accurate and reliable short-term weather forecasts. Main task of the competition is to generate 7 days ahead weather forecasts, on hourly resolution, for 2 variables in each of the 3 case studies selected as three biomes of Europe, Middle East and Africa (IEEE Region 8): Savanna Preservation, Clean Urban Air and Resilient Fields.The competition and IEEE Dataport site is envisioned as an ongoing effort to contribute with learings and datasets in multiple cut-off dates. The first set of cut-off dates is:Phase 1 - Competition, 1-Nov-2024: Using oepn datasets to generate 7 days ahead weather forecasts for case studies.Phase 2 - Scoring, 11 November 2024: After one month of competition, the final evaluation will be performed on the real weather forecast, announcing the highscore and competition winners.Phase 3 - Live Presentation, 27-30 November 2024: Top 5 teams will be invited to the IEEE Humanitarian Technologies Conference 2024 in Bari, Italy, to present their approaches and form a report as 4-page IEEE-style formatted manuscript. The IEEE Region 8 Climate Challenges is a program of Region-wide competitions aiming at climate change mitigation by technological initiatives. As series of large-scale international competitions from different technical areas, challenges are focused to specific objectives, member focus groups and geographic areas to address the local perspectives. The three challenges are identified to put focus on during the program:1. Challenge of utilization of AI in enhanced weather forecasting2. Challenge of disaster-resilient communication3. Challenge of technical innovationsIEEE Region 8 Climate Challenges is initiated by IEEE Region 8 and supported by IEEE Foundation and IEEE Humanitarian Technologies Board.
DOI: 10.6092/unibo/amsacta/7903
title: INTELLIMAN. WP4. Adaptive shared autonomy. T4_3. Human intent detection for autonomy arbitration. Self supervised myocontrol. v0

description: The dataset is related a novel Human-Robot interface (HRi) based on self-supervised regression of sEMG signals, combining Non-Negative Matrix Factorization (NMF) with Deep Neural Networks (DNN) in order to both avoid explicit labeling procedures and have powerful nonlinear fitting capabilities. Experiments involving 10 healthy subjects were carried out assessing real-time control of a wearable anthropomorphic robot hand. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication: 
R. Meattini, A. Caporali, A. Bernardini, G. Palli and C. Melchiorri, "Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control," in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8533-8540, Dec. 2023, doi: 10.1109/LRA.2023.3329764.
DOI: 10.15468/dl.kubuue
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hopea parviflora Bedd."
 ]
}

 The dataset includes 107 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036547-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7xfb5
title: Occurrence Download

description: A dataset containing 361347 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is izeltlabuak.hu observations validated to species level"
 ]
}

 The dataset includes 361347 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036528-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qhmkg
title: Occurrence Download

description: A dataset containing 186177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lampyridae"
 ]
}

 The dataset includes 186177 records from 1296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036527-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hybx38
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Deltapolyomavirus)",
 "Continent is one of (Africa)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035499-240506114902167/datasets/export for details.
DOI: 10.15468/dl.bptquw
title: Occurrence Download

description: A dataset containing 6495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marsilea quadrifolia L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6495 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035498-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25886313
title: Supplementary Materials Document from Growth and stabilisation of induced seismicity rates during long-term, low pressure fluid injection

description: PDF document containing descriptions of each site and sources from which data was acquired
DOI: 10.34740/kaggle/dsv/8497871
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.6084/m9.figshare.25886322.v1
title: Java Code of model implementations from THE EVOLUTION OF PASSIVE DISPERSAL VERSUS HABITAT SELECTION HAVE DIFFERING EMERGENT CONSEQUENCES IN METACOMMUNITIES

description: MultispeciesDispersalJava.zip
DOI: 10.15139/s3/n2fnfs
title: Monmouth University Iowa Poll, Number 235

description: This survey was conducted with a statewide random sample of Iowa voters drawn from a list of registered voters and addresses the 2020 general election for president, senate and House of Representatives.
DOI: 10.15468/dl.92yrns
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marsilea minuta L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 469 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035501-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25886320
title: Supplementary Material for: Disseminated carcinomatosis of the bone marrow from castration-resistant prostate cancer revealed by choline PET/CT

description: Introduction: Disseminated carcinomatosis of the bone marrow is caused by cancer metastasis to the bone marrow and is the diagnosis is very difficult by imaging. Case presentation: We report a 75-year-old male with disseminated carcinomatosis of the bone marrow from castration-resistant prostate cancer (CRPC) revealed by 11C-choline positron emission tomography-computed tomography (PET/CT). Although he already received radiotherapy to the prostate, maximum androgen blockade, enzalutamide and apalutamide, and external beam radiotherapy for the pelvic bone metastases, serum prostate-specific antigen (PSA) value rapidly increased from 32 ng/mL to 104 ng/mL in recent one month. Bone scintigraphy showed almost no abnormal uptake in the whole body, whereas 11C-choline PET/CT showed diffuse bone marrow 11C-choline uptake. The disseminated carcinomatosis of the bone marrow was diagnosed from the discordant findings between bone scintigraphy and 11C-choline PET/CT examinations and confirmed pathologically by iliac marrow biopsy pathologically. Although docetaxel therapy was started, PSA value continued rising and he died after four months of the diagnosis. Conclusion: The discordant findings of choline-PET/CT and bone scintigraphy can diagnose disseminated carcinomatosis of the bone marrow from prostate cancer.
DOI: 10.5281/zenodo.11234224
title: Analysis of Circulating Biomarkers for Minimally Invasive Early Detection of Breast Cancer

description: A nested case–control study was conducted on plasma samples of 65 cases and 66 controls (discovery set) and 32 cases and 127 controls (validation set). 10 circulating microRNAs have been analyzed by RT-qPCR and 7 microRNA ratios (as the difference between their threshold cycles) have been included in a model to predict the presence of breast cancer. Together with the women identifier (andromeda_id) and the seven microRNA ratios, menopause staus (menopause), body mass index (bmi_di), the interaction term between menopause and BMI (bmi_men), the life-style score according to the World Cancer Research Fund (score_wcrf), the breast density classification (tabar), the cancer diagnosis (status) and the type of control (class2 - only for the validation cohort where there were two types of controls: mammography negatives (N) and mammography false-positives(N2)) are reported in the first sheet (validation set) and in the third sheet (discovery set). The second sheet contains the time intervals between enrollment with blood sampling and breast cancer diagnosis. This information was used only for the validation set, where these intervals were much higher than in the discovery set.

Raw threshold cycles (Ct) are available upon request.