cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15124/15132cfd-0dfc-469d-a6c5-80e95e76d0a0
title: Code for Generating Statistical ON-OFF Link Models from Sea Trial Data

description: This folder contains the code for generating and testing statistical ON-OFF link models from sea trial data. It was used to generate the results for the following paper:

N. Morozs, F. Campagnaro, L. Shen, B. T. Henson, F. Mahieu, Y. Zakharov and P. D. Mitchell, "Statistical ON-OFF Link Modeling Based on Sea Trial Data," in proceedings of WUWNet'24, Sibenik, Croatia, Oct 2024. 

This code is published under the MIT License (see full license in the 'LICENSE' file).

Required software:

1) MATLAB (tested on R2018a and R2022a)

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Data files:
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 - 'BerlinMultimodal-06-16.mat' - The Werbellin lake experiment dataset downloaded from the ASUNA database (https://sites.google.com/marsci.haifa.ac.il/asuna/).
 
 - 'on_off_dur_model_werbellin16.mat' - The ON-OFF statistical model generated by the "gen_link_model.m" script, as explained in the paper.
 
 - 'on_off_dur_cdfs_werbellin16.csv' - the same model but in the CSV format (to enable its use with any other programming languages); it contains six CDFs: for three link types (good, average, poor) and two link states (ON and OFF).

***************
MATLAB scripts:
***************

- 'analyse_trial_data.m' - a script to analyse the data from the Werbellin lake experiment and generate the plots from the paper.

- 'gen_link_model.m' - a script to process the ASUNA Werbellin lake dataset and generate statistical link models as described in the paper.

- 'gen_link_realisations.m' - a script to synthesise random link realisations using the statistical model generated by the 'gen_link_model.m' script.

- 'test_on_off_dur_gen_model.m' - to test if the synthesised random link realisations follow the same CDF distributions as the statistical model generated by the 'gen_link_model.m' script.
DOI: 10.17632/m93sk9n767.1
title: OV_patient_longitudinal_CNA_samples

description: Copy number profiles and liquidCNA algorithm output for patient samples presented in "Adaptive therapy achieves long-term control of chemotherapy resistance in high grade ovarian cancer". See ReadMe.txt for explanation of file contents.
DOI: 10.17632/pttfc9cyrt.1
title: The Swahili Digraph Corpus

description: The Swahili Digraph Corpus is a comprehensive dataset crafted to capture the diverse phonetic elements of Swahili, serving as a critical resource for natural language processing (NLP) and machine learning research. This corpus covers a broad array of Swahili digraphs which includes “ch,” “dh,” “gh,” “kh,” “ng’,” “ny,” “sh,” “th,” and “ng” which are essential for accurately representing Swahili phonetic nuances. With a detailed annotation of each digraph's frequency across the vowels “a,” “e,” “i,” “o,” and “u,” the corpus provides an extensive foundation for model training, testing, and validation. The dataset’s distribution, including 9,483 instances of “ch” and a balanced 11,604 instances of “ng,” ensures that machine learning models can effectively generalize across vowel contexts, which is essential for robust digraph recognition. Comprising 31,197 annotated words, the corpus also includes rare digraphs like “kh” and “ng’,” allowing models to learn both common and less frequent Swahili sounds, thus supporting nuanced phonetic recognition. By integrating a rich range of Swahili phonetic patterns, the corpus enhances the development of precise, context-sensitive Swahili language processing models, advancing research in Swahili NLP.
DOI: 10.17632/pttfc9cyrt.2
title: The Swahili Digraph Corpus

description: The Swahili Digraph Corpus is a comprehensive dataset crafted to capture the diverse phonetic elements of Swahili language, serving as a critical resource for natural language processing (NLP) and machine learning research. This corpus covers a broad array of Swahili digraphs which includes “ch,” “dh,” “gh,” “kh,” “ng’,” “ny,” “sh,” “th,” and “ng” which are essential for accurately representing Swahili phonetic nuances. With a detailed annotation of each digraph's frequency across the vowels “a,” “e,” “i,” “o,” and “u,” the corpus provides an extensive foundation for model training, testing, and validation. The dataset’s distribution, including 9,483 instances of “ch” and a balanced 11,604 instances of “ng,” ensures that machine learning models can effectively generalize across vowel contexts, which is essential for robust digraph recognition. Comprising 31,197 annotated words, the corpus also includes rare digraphs like “kh” and “ng’,” allowing models to learn both common and less frequent Swahili sounds, thus supporting nuanced phonetic recognition. By integrating a rich range of Swahili phonetic patterns, the corpus enhances the development of precise, context-sensitive Swahili language processing models, advancing research in Swahili NLP.
DOI: 10.17632/d4dx6c7yyn.1
title: Self-disclosure of Content Creators: A Systematic Review and Holistic Framework

description: Paper pool included in the systematic review
DOI: 10.15468/dl.4khfsz
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Bengal Tiger (Panthera tigris) Sighting based on Photographs from Facebook in India, CUMV Fish Collection)",
 "GadmGid is IND.36.15_1",
 "Geometry POLYGON((87.74073 21.70226,90.7508 21.70226,90.7508 23.53751,87.74073 23.53751,87.74073 21.70226))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1990-2010"
 ]
}

 The dataset includes 1101 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002928-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kx3zb7rk3p.1
title: Perceived Quality ChatGPT

description: Data about the perceived quality in the use of Chat GPT.
Size: 411 users (in Spain)
Collected between first and 4th November 2024
DOI: 10.17632/887mp9spng.1
title: Dataset publication

description: This is a dataset.
DOI: 10.17632/gzp97wdddc.1
title: Impact of Impact Investing

description: This code will reproduce all figures and tables in the paper. The package does NOT contain the underlying data because we do not have rights to distribute the data.
DOI: 10.17632/gzp97wdddc.2
title: Impact of Impact Investing Code

description: This code will reproduce all figures and tables in the paper. The package does NOT contain the underlying data because we do not have rights to distribute the data.
DOI: 10.17632/j5bgddf6rp.1
title: ADAPTIVE: A Novel Dataset For Acoustic DysArthria deTection through temPoral Inference and Voice Engineering

description: Dysarthria is a prevalent speech disorder affecting approximately 53% of individuals with speech-related challenges, often arising from neurological conditions such as strokes, cerebral palsy, or Parkinson’s disease. This disorder disrupts the coordination and strength of the muscles used for speech, complicating clear communication, especially with unfamiliar listeners. The impact of dysarthria extends beyond mere communication difficulties; it significantly affects social interactions, job prospects, and educational experiences. Consequently, these challenges can diminish the overall quality of life for those affected, making it imperative to address the disorder effectively.

The research questions guiding this study on pre-screening for dysarthria using machine learning techniques are as follows:
RQ1 
What specific acoustic features contribute most to detecting speech dysarthria?
RQ2
How can machine learning algorithms be optimized to enhance the accuracy of dysarthria detection compared to traditional assessment methods?
RQ3
Can a minimum number of MFCC Features along with voice engineered features perform equally or better than taking into account a vast number of MFCC Features only?

Hence we introduce ADAPTIVE: A Novel Dataset For Acoustic DysArthria deTection through temPoral Inference and Voice Engineering.

Corresponding paper in the pipeline is yet to be published.

Please cite this dataset of it helps in your studies or if you build your own dataset using the acoustic-temporal feature engineering scripts, ML models or use findings from our research in your papers.
DOI: 10.5281/zenodo.14051889
title: Data for the systematic review of OR modelling for alcohol consumption and its consequences

description: This file contains the data of the 182 papers that were relevant for the literature review, which was used to produce the plots and analysis for this paper.
DOI: 10.5281/zenodo.14051890
title: Data for the systematic review of OR modelling for alcohol consumption and its consequences

description: This file contains the data of the 182 papers that were relevant for the literature review, which was used to produce the plots and analysis for this paper.
DOI: 10.17632/j6mmn4jdct.1
title: Empty Pledges and Powerless Conventions: Daily Climate Attention Mention Volume Indexes (MVIs) Data from Twitter

description: This file includes the daily climate mention volume indexes (MVIs) from Twitter between July 2010 and June 2022. The MVIs are defined in the paper: Empty Pledges and Powerless Conventions: How transition climate risks are disrupting financial markets?
DOI: 10.17632/8pzrcjxmpp.1
title: Typology of female image

description: The literary analysis of images is a very essential tool in literature and related sciences. Recently many authors studied the typology of female images since they have been appeared in several real-world problems. 
In this paper, we have proposed to identify the types of female images in the works of Kazuo Ishiguro which is based on the literary theory. Moreover, the studies of other literature representatives are also discovered. Totally, six types of female images are determined due to social status in the chosen works.
DOI: 10.17632/7wxdtfpj62.1
title: Soil characteristics

description: Characteristics of the ADE and background forest soils, Tver region, Russia
DOI: 10.17632/bxdn3p33z2.1
title: PseudoResistance DB: A new Database of antibiotics related to Pseudomonas aeruginosa antibiotic resistance

description: This research addresses the pressing issue of antibiotic resistance, a global health challenge that undermines the efficacy of treatments against infectious diseases. Focusing on Pseudomonas aeruginosa—a Gram-negative bacterium known for causing opportunistic infections—this study emphasizes its prioritization by the World Health Organization (WHO) as a critical-level pathogen requiring new therapeutic approaches. 

To identify antibiotics associated with P. aeruginosa, the study employed text mining techniques on the Scielo database. The resulting dataset comprises 98 antibiotics, each documented with detailed textual information and referencing data. Additionally, the dataset includes structural files of the antibiotics in several formats suitable for computational modeling and simulations. These formats encompass Protein Data Bank, Partial Charge & Atom Type (PDBQT), Simplified Molecular Input Line Entry System (SMI), IUPAC International Chemical Identifier (INCHI), Molecular Design Limited Molfile (MOL2), Structure-Data File (SDF), Chemical Markup Language (CML), Cartesian Coordinates File (XYZ), Scalable Vector Graphics (SVG), Molecular File (MOL) and Protein Data Bank (PDB) files, with molecular models generated via OpenBabel to facilitate advanced studies in drug development and resistance mechanisms.
DOI: 10.15468/dl.235r7m
title: Occurrence Download

description: A dataset containing 456500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 456500 records from 503 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002841-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djtzhw
title: Occurrence Download

description: A dataset containing 22824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 22824 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011290-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d5s8y
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Polylepis racemosa Ruiz & Pav."
 ]
}

 The dataset includes 259 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011292-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/bv1q-hw13
title: Ghana Compact - Agriculture - Irrigation: Baseline Data Set
DOI: 10.26180/23961609
title: Corpus of Oz Early English (COOEE)

description: Material to be included had to meet with a regional and a temporal criterion. The latter required texts to have been produced between 1788 and 1900 in order to become eligible for COOEE. It was mandatory for a text to have been written in Australia, New Zealand or Norfolk Island. But in a few cases, other localities were allowed. For example, if a person who was a native Australian or who had lived in Australia for a considerable time, wrote a shipboard diary or travelled in other countries. Contains: Letters, published materials in book form, historical texts. The collection is stratified in two ways: Time period - The corpus is divided into four time periods: Period 1: 1788-1825 Period 2: 1826-1850 Period 3: 1851-1875 Period 4: 1876-1900 The initial numeral of each file name indicates the period from which the document comes. Register - The corpus contains material from four registers: Speech-based (sb) Private written (prw) Public written (pcw) Government English (ge)
DOI: 10.26180/23961609.v4
title: Corpus of Oz Early English (COOEE)

description: Material to be included had to meet with a regional and a temporal criterion. The latter required texts to have been produced between 1788 and 1900 in order to become eligible for COOEE. It was mandatory for a text to have been written in Australia, New Zealand or Norfolk Island. But in a few cases, other localities were allowed. For example, if a person who was a native Australian or who had lived in Australia for a considerable time, wrote a shipboard diary or travelled in other countries. Contains: Letters, published materials in book form, historical texts. The collection is stratified in two ways: Time period - The corpus is divided into four time periods: Period 1: 1788-1825 Period 2: 1826-1850 Period 3: 1851-1875 Period 4: 1876-1900 The initial numeral of each file name indicates the period from which the document comes. Register - The corpus contains material from four registers: Speech-based (sb) Private written (prw) Public written (pcw) Government English (ge)
DOI: 10.3886/fr13-9s34
title: Ghana Compact - Agriculture - Irrigation: Baseline Data Set
DOI: 10.26180/23961609.v3
title: Corpus of Oz Early English (COOEE)

description: Material to be included had to meet with a regional and a temporal criterion. The latter required texts to have been produced between 1788 and 1900 in order to become eligible for COOEE. It was mandatory for a text to have been written in Australia, New Zealand or Norfolk Island. But in a few cases, other localities were allowed. For example, if a person who was a native Australian or who had lived in Australia for a considerable time, wrote a shipboard diary or travelled in other countries. Contains: Letters, published materials in book form, historical texts. The collection is stratified in two ways: Time period - The corpus is divided into four time periods: Period 1: 1788-1825 Period 2: 1826-1850 Period 3: 1851-1875 Period 4: 1876-1900 The initial numeral of each file name indicates the period from which the document comes. Register - The corpus contains material from four registers: Speech-based (sb) Private written (prw) Public written (pcw) Government English (ge)
DOI: 10.15468/dl.u68y6z
title: Occurrence Download

description: A dataset containing 67321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tillandsia recurvata (L.) L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 67321 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011289-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2ttnd
title: Occurrence Download

description: A dataset containing 8820 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Primate collection of Center for the Evolutionary Origins of Human Behavior, Kyoto University"
 ]
}

 The dataset includes 8820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011293-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sngge7
title: Occurrence Download

description: A dataset containing 14924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Patagona gigas (Vieillot, 1824)"
 ]
}

 The dataset includes 14924 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011294-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/br36-mh55
title: Ghana Compact - Agriculture - Irrigation: Baseline Data Set
DOI: 10.3886/js0f-9x61
title: Ghana Compact - Agriculture - Irrigation: Baseline Data Set
DOI: 10.15468/dl.v7cccr
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nemacladus gracilis Eastw."
 ]
}

 The dataset includes 118 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011295-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14076461
title: Data for: "Determining minimum energy conical intersections by enveloping the seam: exploring ground and excited state intersections in coupled cluster theory"
DOI: 10.5281/zenodo.14076462
title: Data for: "Determining minimum energy conical intersections by enveloping the seam: exploring ground and excited state intersections in coupled cluster theory"
DOI: 10.15468/dl.rr8h3m
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.34271 -5.80608,28.57636 3.02425,15.52565 3.47875,8.57825 -8.40324,27.34271 -5.80608))",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypterus delhezi Boulenger, 1899"
 ]
}

 The dataset includes 96 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011296-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dj425q
title: Occurrence Download

description: A dataset containing 622504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "Year 1000-2006"
 ]
}

 The dataset includes 622504 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011271-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14113441
title: Ulkenia visurgenis Lng2 transcriptomic analysis

description: Programming codes, intermediates files, transcript annotation spreadsheets and the final version of the assembled transcriptome developed for a transcriptional anaylisis of the thraustochytrid Ulkenia visurgensis Lng2.
DOI: 10.5281/zenodo.14113442
title: Ulkenia visurgenis Lng2 transcriptomic analysis

description: Programming codes, intermediates files, transcript annotation spreadsheets and the final version of the assembled transcriptome developed for a transcriptional anaylisis of the thraustochytrid Ulkenia visurgensis Lng2.
DOI: 10.15468/dl.6tncc3
title: Occurrence Download

description: A dataset containing 5319362 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is INSDC Sequences"
 ]
}

 The dataset includes 5319362 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011209-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kt489
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-105.37601 6.94338,-72.62399 6.94338,-72.62399 20.05662,-105.37601 20.05662,-105.37601 6.94338))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melozone leucotis Cabanis, 1861",
 "Year 2015-2024"
 ]
}

 The dataset includes 239 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011298-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryf8qc
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.31_1",
 "TaxonKey is Cercopithecidae"
 ]
}

 The dataset includes 85 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011299-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqgv44
title: Occurrence Download

description: A dataset containing 1906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.95818 6.15030,-74.51853 6.15030,-74.51853 6.32609,-74.95818 6.32609,-74.95818 6.15030))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1906 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011300-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwwr4b
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((37.30982 12.40817,37.8846 18.97698,-18.03238 16.43157,-16.63651 3.21184,0.68872 1.32331,23.35111 1.65175,37.30982 12.40817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypterus endlicherii Heckel, 1847"
 ]
}

 The dataset includes 79 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011301-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.