cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15049541
title: Wave Propagation over a Submerged Bar: Datasets from Wave Flume Experiments and CFD

description: Datasets generated by physical wave flume experiments as well as numerical models using CFD on wave propagation over a submerged bar are supplied in the present repository. Experiments dedicated to the benchmarking of numerical models were carried out in the wave flume in the Ocean and Coastal Engineering Laboratory at Aalborg University, Denmark.

Data from the experiments were used for the benchmarking of three Navier-Stokes solvers from widespread CFD frameworks with fundamentally different free surface treatments, i.e., the VoF-based interFoam solver of OpenFOAM, the sigmatransformation solver of MIKE 3 Waves Model FM, and the delta-SPH solver of DualSPHysics. The different solvers were used to set up three numerical models referred to as ’i-VoF’, ‘M-sigma’, and ‘D-SPH’, respectively, and detailed in the source paper. Wave transformations were investigated under four wave conditions (WCs): WCs 1-3 were regular waves with increasing nonlinearity and WC 3 included wave-breaking; WC 4 was a bichromatic wave with wave-breaking.

In the source paper, an idealized testcase was formulated for simple and accurate test representation – convenient to adopt by others in benchmarking/validation of numerical models with similar complex wave transformation. 

Refer to the readme file in at the root directory of Andersen_etal_2025.zip for further information on the datasets.
DOI: 10.5281/zenodo.15049542
title: Wave Propagation over a Submerged Bar: Datasets from Wave Flume Experiments and CFD

description: Datasets generated by physical wave flume experiments as well as numerical models using CFD on wave propagation over a submerged bar are supplied in the present repository. Experiments dedicated to the benchmarking of numerical models were carried out in the wave flume in the Ocean and Coastal Engineering Laboratory at Aalborg University, Denmark.

Data from the experiments were used for the benchmarking of three Navier-Stokes solvers from widespread CFD frameworks with fundamentally different free surface treatments, i.e., the VoF-based interFoam solver of OpenFOAM, the sigmatransformation solver of MIKE 3 Waves Model FM, and the delta-SPH solver of DualSPHysics. The different solvers were used to set up three numerical models referred to as ’i-VoF’, ‘M-sigma’, and ‘D-SPH’, respectively, and detailed in the source paper. Wave transformations were investigated under four wave conditions (WCs): WCs 1-3 were regular waves with increasing nonlinearity and WC 3 included wave-breaking; WC 4 was a bichromatic wave with wave-breaking.

In the source paper, an idealized testcase was formulated for simple and accurate test representation – convenient to adopt by others in benchmarking/validation of numerical models with similar complex wave transformation. 

Refer to the readme file in at the root directory of Andersen_etal_2025.zip for further information on the datasets.
DOI: 10.21233/mxzh-m964
title: Double Drop Cave vertebrate fauna dataset

description: Raw data for the Double Drop Cave vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/m35g-zm44
title: Caswell testate amoebae surface sample dataset

description: Raw data for the Caswell testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15044595
title: MIMIC_III_IPI - Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations

description: MIMIC_III_IPI - Discharge Summaries from Medical Information Mart for Intensive Care-III with Indirect Personal Identifiers Annotations

The discharge summaries we use for demonstrating our Indirect Personal Identifiers (IPI) schema are randomly sampled from the Medical Information Mart for Intensive Care (MIMIC-III) dataset. MIMIC-III comprises health-related data from over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. Among other types of data, such as patient demographics, the database also includes various types of textual data, such as diagnostic reports and discharge summaries. We chose discharge summaries for our study, since these are richer in information than other notes in MIMIC-III. Details:



Johnson, A., Pollard, T., & Mark, R. (2016). MIMIC-III Clinical Database (version 1.4). PhysioNet. https://doi.org/10.13026/C2XW26.

Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. W., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific data, 3, 160035. https://doi.org/10.1038/sdata.2016.35


This is the Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations as an external source of the paper accepted at the PrivateNLP workshop at NAACL 2025, a preprint can be found in:



Baroud, I., Raithel, L., Möller, S., & Roller, R. (2025). Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts. arXiv preprint arXiv:2502.13342.


This repository contains the annotations in a CSV file and the annotation guidelines document. Inspecting the exact annotation texts requires access to the MIMIC-III Clinical Database, see https://physionet.org/content/mimiciii/1.4/. Each row in the CSV file has an ID together with a list of the IPI annotated spans, each in the format {"start": ,"end": ,"label": }. The ID in the ipi_annotations.csv table corresponds to the same ROW_ID in the MIMIC-III NOTEEVENTS.csv table and can be used for merging the tables to inspect the original documents and reconstruct the annotations using the offsets. 

Please note that only authenticated users can request access to review and download the annotations and guidelines. If you encounter any issues, feel free to reach out to the contact person.
DOI: 10.5281/zenodo.15044596
title: MIMIC_III_IPI - Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations

description: MIMIC_III_IPI - Discharge Summaries from Medical Information Mart for Intensive Care-III with Indirect Personal Identifiers Annotations

The discharge summaries we use for demonstrating our Indirect Personal Identifiers (IPI) schema are randomly sampled from the Medical Information Mart for Intensive Care (MIMIC-III) dataset. MIMIC-III comprises health-related data from over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. Among other types of data, such as patient demographics, the database also includes various types of textual data, such as diagnostic reports and discharge summaries. We chose discharge summaries for our study, since these are richer in information than other notes in MIMIC-III. Details:



Johnson, A., Pollard, T., & Mark, R. (2016). MIMIC-III Clinical Database (version 1.4). PhysioNet. https://doi.org/10.13026/C2XW26.

Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. W., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific data, 3, 160035. https://doi.org/10.1038/sdata.2016.35


This is the Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations as an external source of the paper accepted at the PrivateNLP workshop at NAACL 2025, a preprint can be found in:



Baroud, I., Raithel, L., Möller, S., & Roller, R. (2025). Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts. arXiv preprint arXiv:2502.13342.


This repository contains the annotations in a CSV file and the annotation guidelines document. Inspecting the exact annotation texts requires access to the MIMIC-III Clinical Database, see https://physionet.org/content/mimiciii/1.4/. Each row in the CSV file has an ID together with a list of the IPI annotated spans, each in the format {"start": ,"end": ,"label": }. The ID in the ipi_annotations.csv table corresponds to the same ROW_ID in the MIMIC-III NOTEEVENTS.csv table and can be used for merging the tables to inspect the original documents and reconstruct the annotations using the offsets. 

Please note that only authenticated users can request access to review and download the annotations and guidelines. If you encounter any issues, feel free to reach out to the contact person.
DOI: 10.5281/zenodo.15372705
title: MIMIC_III_IPI - Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations

description: MIMIC_III_IPI - Discharge Summaries from Medical Information Mart for Intensive Care-III with Indirect Personal Identifiers Annotations

The discharge summaries we use for demonstrating our Indirect Personal Identifiers (IPI) schema are randomly sampled from the Medical Information Mart for Intensive Care (MIMIC-III) dataset. MIMIC-III comprises health-related data from over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012. Among other types of data, such as patient demographics, the database also includes various types of textual data, such as diagnostic reports and discharge summaries. We chose discharge summaries for our study, since these are richer in information than other notes in MIMIC-III. Details:



Johnson, A., Pollard, T., & Mark, R. (2016). MIMIC-III Clinical Database (version 1.4). PhysioNet. https://doi.org/10.13026/C2XW26.

Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. W., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific data, 3, 160035. https://doi.org/10.1038/sdata.2016.35


This is the Discharge Summaries from MIMIC-III with Indirect Personal Identifiers Annotations as an external source of the paper accepted at the PrivateNLP workshop at NAACL 2025, a preprint can be found in:



Baroud, I., Raithel, L., Möller, S., & Roller, R. (2025). Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts. arXiv preprint arXiv:2502.13342.


This repository contains the annotations in a CSV file and the annotation guidelines document. Inspecting the exact annotation texts requires access to the MIMIC-III Clinical Database, see https://physionet.org/content/mimiciii/1.4/. Each row in the CSV file has an ID together with a list of the IPI annotated spans, each in the format {"start": ,"end": ,"label": }. The ID in the ipi_annotations.csv table corresponds to the same ROW_ID in the MIMIC-III NOTEEVENTS.csv table and can be used for merging the tables to inspect the original documents and reconstruct the annotations using the offsets. 

Please note that only authenticated users can request access to review and download the annotations and guidelines. If you encounter any issues, feel free to reach out to the contact person.
DOI: 10.21233/38hv-hq53
title: Smithville diatom dataset

description: Raw data for the Smithville diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pvvg-9753
title: LDDsite1800 water chemistry dataset

description: Raw data for the LDDsite1800 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kq83-pp88
title: VC35 (BP080094) X-ray fluorescence (XRF) dataset

description: Raw data for the VC35 (BP080094) X-ray fluorescence (XRF) dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7jae-t248
title: LDDsite2855 water chemistry dataset

description: Raw data for the LDDsite2855 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.76n8re
title: Occurrence Download

description: A dataset containing 13423 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynanchum acutum L."
 ]
}

 The dataset includes 13423 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023111-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/dqqb-7393
title: ABD66 pollen surface sample dataset

description: Raw data for the ABD66 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rjv7-7y62
title: Frederick Lake diatom surface sample dataset

description: Raw data for the Frederick Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.k8zvj8
title: Occurrence Download

description: A dataset containing 76261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Junonia coenia Hübner"
 ]
}

 The dataset includes 76261 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023104-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7d975
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphrocallistes beatrix Gray, 1858"
 ]
}

 The dataset includes 953 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023112-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ap7s-5g24
title: Mulsumer Moor pollen dataset

description: Raw data for the Mulsumer Moor pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nj3x-8h74
title: Zhuanglin testate amoebae surface sample dataset

description: Raw data for the Zhuanglin testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s302-n182
title: LDDsite4561 water chemistry dataset

description: Raw data for the LDDsite4561 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rapp-8313
title: Tourbiere de l’Aeroport testate amoebae surface sample dataset

description: Raw data for the Tourbiere de l’Aeroport testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.34740/kaggle/dsv/11746206
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.21233/p9pk-1507
title: Ellbachsee pollen dataset

description: Raw data for the Ellbachsee pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9g8e-3q96
title: Burns Bog testate amoebae surface sample dataset

description: Raw data for the Burns Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jfv8-1293
title: Splains Lake testate amoebae surface sample dataset

description: Raw data for the Splains Lake testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4hz9-s930
title: Crane Mountain Pond water chemistry dataset

description: Raw data for the Crane Mountain Pond water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fdyz-g060
title: St. Mungo Cannery [DgRr-2] vertebrate fauna dataset

description: Raw data for the St. Mungo Cannery [DgRr-2] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ne6k-ds66
title: Kagoshima ostracode surface sample dataset

description: Raw data for the Kagoshima ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5n54-xn17
title: Lake Palmdale water chemistry dataset

description: Raw data for the Lake Palmdale water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.3yn2yh
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence)",
 "TaxonKey is Gongolaria usneoides (Linnaeus) Molinari & Guiry",
 "Year 1810-2025"
 ]
}

 The dataset's 4 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023110-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/g1dq-n374
title: "LL-VIDEO"

description: "The videos in the dataset were captured by Hikvision DS-IPC surveillance camera in a low-light environment."
DOI: 10.34740/kaggle/dsv/11746253
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.21233/wevg-p939
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.pmsp6x
title: Occurrence Download

description: A dataset containing 349511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PAK",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 349511 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023107-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/7dpv-8y33
title: LDDsite1564 ostracode surface sample dataset

description: Raw data for the LDDsite1564 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/850k-zg65
title: Totolcingo water chemistry dataset

description: Raw data for the Totolcingo water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/07mx-qa33
title: Cold Springs Valley [26PWa18] vertebrate fauna dataset

description: Raw data for the Cold Springs Valley [26PWa18] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.