cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15142395
title: Table 1 in New species of Acanthochondria Oakley, 1930 and Chondracanthus Delaroche, 1811 (Copepoda: Cyclopoida: Chondracanthidae) parasitizing marine fishes from Indian waters

description: Table 1. List of chondracanthid copepods from India, with their fish hosts and distribution records.
Chondracanthid copepodsHost fish [Family]Localities in IndiaReferencesGenusspeciesSynonymsAcanthochondria Oakley, 19301A. krishnai sp. n.Uranoscopus guttatus Cuvier [Uranoscopidae]Muttom (the type locality) and Colachel, off South-west coast, India; Neendakara, Quilon, Kerala coast.Present studyBactrochondria Ho, Kim and Kumar, 20002B. papilla Ho, Kim and Kumar, 2000Cynoglossus dubius (Regan) [Cynoglossidae]KeralaHo et al., 20003B.hoi (Pillai, 1985)Ceratochondria hoi Pillai, 1985Cynoglossus lida (Bleeker) [Cynoglossidae]KeralaPillai, 1985; Ho et al., 2000Chondracanthus Delaroche, 18114C. kabatai sp. n.Zenopsis conchifer Lowe [Zeidae]Neendakara (type locality), Quilon, Southern Coast, IndiaPresent studyHeterochondria Yu, 19355H. petila Ho, Kim and Kumar, 2000Pseudorhombus javanicus (Bleeker), P.triocellatus (Bloch), P.arsius (Hamilton) [Paralichthyidae]KeralaHo et al., 2000Cynoglossus lida (Bleeker) and C.dubius (Regan)6H. pillai Ho, 1970[Cynoglossidae], Pseudorhombus javanicus (Bleeker), P.triocellatus (Bloch), P.elevatus Ogilby, and P.arsius (Hamilton) [Paralichthyidae]KeralaPillai, 1985; Ho et al., 20007H. similis (Yu and Wu, 1932)Crossorhombus azureus (Alcock) [Bothidae]KeralaHo et al., 20008H. zebriae (Ho, Kim I.H. and Kumar, 2000)Acanthochondria zebriae Ho, Kim I.H. and Kumar, 2000 (Transferred to Heterchondria by Tang et al., 2010)Crossorhombus azureus (Alcock) [Bothidae]KeralaHo et al., 2000Medesicaste KrØyer, 18639M. penetrans Heller, 1868Trigla sp., Trigla capensis [= Chelidonichthys capensis (Cuvier)] [Triglidae]KeralaPillai, 1985Protochondracanthus Kirtisinghe, 195010P.alatus (Heller, 1868)Chondracanthus alatus Heller, 1865 Protochondracanthus psettodis Kirtisinghe, 1950Psettodes erumi (Bleeker and Schneider) [Psettodidae]Kerala, Tamil NaduPillai, 1985; Ho et al., 2000; Kizhakudan et al., 201511P.trilobatus (Pillai, 1964)Chondracanthus trilobatus Pillai, 1964Psettodes erumi (Bleeker and Schneider) [Psettodidae]Kerala, Tamil NaduPillai, 1985; Ho et al., 2000; Kizhakudan et al., 2015
description: Published as part of Aneesh, Panakkool Thamban, Helna, Ameri Kottarathil & Kumar, Appukuttannair Biju, 2020, New species of Acanthochondria Oakley, 1930 and Chondracanthus Delaroche, 1811 (Copepoda: Cyclopoida: Chondracanthidae) parasitizing marine fishes from Indian waters, pp. 18 in Nauplius (e 2020014) 28 on page 18, DOI: 10.1590/2358-2936e2020014, http://zenodo.org/record/10904748
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DOI: 10.15468/dl.5z69wq
title: Occurrence Download

description: A dataset containing 18973 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mammal records for Europe via the iMammalia app"
 ]
}

 The dataset includes 18973 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072725-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydcc33
title: Occurrence Download

description: A dataset containing 622068 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is French Polynesia"
 ]
}

 The dataset includes 622068 records from 725 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072703-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rjjmm
title: Occurrence Download

description: A dataset containing 7629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year 2000-2022"
 ]
}

 The dataset includes 7629 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072726-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/28182962
title: Dataset for "Understanding Interaction with Machine Learning through a Thematic Analysis Coding Assistant: A User Study"

description: 20 participants installed and interacted with a thematic analysis coding assistant (TACA), an interactive machine learning desktop application designed to train a classifier on user-defined coded datasets to generate additional coding suggestions. The interviews were conducted with the participants after they interacted with the tool for 20 minutes, or until no more benefits were perceived. The questions were aimed to understand the experience of the participants with TACA and their perceptions of the ML model.<br><br>The <b>coded_transcripts.docx</b> file contains the anonymised interview transcripts coded with codes appearing as comments. The document is split into Study 1 (5 participants) and Study 2 (15 participants). The participants in Study 1 imported their own dataset into TACA, while the participants in Study 2 used a set of newspaper restaurant reviews that were given to them by the researchers. Participant IDs follow the structure "S[study number]_P[participant number]", e.g. "S2_P1".<br>The <b>themes.csv</b> file shows all the codes below each corresponding theme, the result of conducting thematic analysis on the interview transcripts.<br>The <b>restaurant_reviews.docx</b> file is the collection of 21 restaurant reviews from the newspaper The Guardian (Restaurants + Reviews | Food | The Guardian) that was given to 15 of the 20 participants who did not have their own dataset available for the study.<br>The <b>logs</b> folder contains an anonymised interaction log file for each participant with the interface of TACA named with the corresponding participant ID. The interaction logs for participants S1_P4 and S2_P5 are missing due to an issue in data storage.<br>
DOI: 10.5522/04/28182962.v1
title: Dataset for "Understanding Interaction with Machine Learning through a Thematic Analysis Coding Assistant: A User Study"

description: 20 participants installed and interacted with a thematic analysis coding assistant (TACA), an interactive machine learning desktop application designed to train a classifier on user-defined coded datasets to generate additional coding suggestions. The interviews were conducted with the participants after they interacted with the tool for 20 minutes, or until no more benefits were perceived. The questions were aimed to understand the experience of the participants with TACA and their perceptions of the ML model.<br><br>The <b>coded_transcripts.docx</b> file contains the anonymised interview transcripts coded with codes appearing as comments. The document is split into Study 1 (5 participants) and Study 2 (15 participants). The participants in Study 1 imported their own dataset into TACA, while the participants in Study 2 used a set of newspaper restaurant reviews that were given to them by the researchers. Participant IDs follow the structure "S[study number]_P[participant number]", e.g. "S2_P1".<br>The <b>themes.csv</b> file shows all the codes below each corresponding theme, the result of conducting thematic analysis on the interview transcripts.<br>The <b>restaurant_reviews.docx</b> file is the collection of 21 restaurant reviews from the newspaper The Guardian (Restaurants + Reviews | Food | The Guardian) that was given to 15 of the 20 participants who did not have their own dataset available for the study.<br>The <b>logs</b> folder contains an anonymised interaction log file for each participant with the interface of TACA named with the corresponding participant ID. The interaction logs for participants S1_P4 and S2_P5 are missing due to an issue in data storage.<br>
DOI: 10.15468/dl.bvmgjw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6_1",
 "TaxonKey is Manis pentadactyla Linnaeus, 1758"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072727-241126133413365/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.28219642
title: A Robust Ferroptosis-Related Gene Signature Predicts Overall Survival in Clear Cell Renal Cell Carcinoma

description: <b>Aims:</b> To investigate the prognostic values and potential mechanisms of ferroptosis-related genes in clear cell renal cell carcinoma. <b>Methods:</b> Univariate Cox, least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were employed to identify prognosis-related hub ferroptosis-related genes and establish a prognostic model. <b>Results:</b> The authors established a novel clinical predictive model based on seven hub ferroptosis-related genes in The Cancer Genome Atlas training cohort (n = 374) that was verified in the testing cohort (n = 156) and the entire group (n = 530). Functional analysis indicated that several carcinogenic pathways were enriched. Tumor-infiltrating cells and immunosuppressive molecules were significantly different between the two risk groups. <b>Conclusion:</b> Collectively, the authors successfully constructed a novel ferroptosis-related risk signature that was significantly associated with the prognosis of clear cell renal cell carcinoma. The incidence of and mortality associated with clear cell renal cell carcinoma are increasing year by year. Herein the authors conducted a study to investigate the potential role of ferroptosis-related genes in clear cell renal cell carcinoma. The authors also built a ferroptosis-related gene model that could predict the prognosis and risk of clear cell renal cell carcinoma patients so as to facilitate individualized treatment of patients.