cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8137132
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Chaia Clara Heyn, http://www.wikidata.org/entity/Q21515779. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21515779
DOI: 10.5281/zenodo.8137137
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Avinoam Danin, http://www.wikidata.org/entity/Q4978631. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4978631
DOI: 10.5281/zenodo.8137136
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Avinoam Danin, http://www.wikidata.org/entity/Q4978631. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4978631
DOI: 10.5281/zenodo.8137141
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Helen Margaret Gilkey, http://www.wikidata.org/entity/Q15122935. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q15122935
DOI: 10.5281/zenodo.8137140
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Helen Margaret Gilkey, http://www.wikidata.org/entity/Q15122935. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q15122935
DOI: 10.5281/zenodo.8137143
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Roxana Judkins Stinchfield Ferris, http://www.wikidata.org/entity/Q7372334. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7372334
DOI: 10.5281/zenodo.8137142
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Roxana Judkins Stinchfield Ferris, http://www.wikidata.org/entity/Q7372334. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7372334
DOI: 10.6084/m9.figshare.23664630.v1
title: <strong>Individual variation in habitat selection and movement of feral cats in agroecosystems</strong>

description: Data files Cat_data_NZTM.csv GPS data for each of the Cats (labeled by id) Catdata.csv Home range sizes for each cat, Cat = cat id, sex is male or female, weight is in kg, 95KDE is the 95% kernal density estimate, 50KDE is the 50% kernel density estimate, rabbit level was low, medium, high based on Modified Mclean's scale run1.land.csv Landscape level characteristics calculated by fragstats run2.class.csv Class level characteristics calculated by fragstats <br> Code - all code is for R <br> Home range.R Code calculates home range and compares 95% KDE for males and females and 50% KDE for males and females Code used to calculate home range requires file CleanGPSdata Code used to compare home range size between males and females uses data Catdata.csv <br> Factors that affect habitat selection.R Requires data from Simple_landuse file and Cat_data_NZTM.csv for habitat selection Calulates habitat selection for all cats and for each individual cat Following calculating habitat selection the coeffiecients are used from the individual models with Catdata.csv, run1.land.csv and run2.class.csv to examine factors that affect habitat selection <br> All cats model validation.R Provides code for model validation of habitat selection models for all cats <br> Individual cat model validation.R Provides code for model validation of habitat selection models for each of the individual cats <br> Tortuosity veg vs pasture.R Provides code in caluculating tortuosities for paths in pasture and woody vegetation and code to determine if there was a difference in these <br> Step lengths veg vs pasture.R Provides code to determine if there was a difference between pasture and woody vegetation
DOI: 10.5281/zenodo.7686727
title: Abundance and size data of Elysia crispata from coral reefs of Southern Gulf of Mexico and Mexican Caribbean

description: Three populations of the solar-powered sea slug <em>Elysia crispata</em> on coral reefs from the southern Gulf of Mexico and the Mexican Caribbean were analyzed. This data contains information regarding the number of organisms and sizes found in Cayo Arcas, Verde (Sistema Arrecifal Veracruzano), and Puerto Morelos at different depths and five times of the day (sunrise, morning, zenith, evening, and night).
DOI: 10.5281/zenodo.7686728
title: Abundance and size data of Elysia crispata from coral reefs of Southern Gulf of Mexico and Mexican Caribbean

description: Three populations of the solar-powered sea slug <em>Elysia crispata</em> on coral reefs from the southern Gulf of Mexico and the Mexican Caribbean were analyzed. This data contains information regarding the number of organisms and sizes found in Cayo Arcas, Verde (Sistema Arrecifal Veracruzano), and Puerto Morelos at different depths and five times of the day (sunrise, morning, zenith, evening, and night).
DOI: 10.5281/zenodo.8137171
title: Abundance and size data of Elysia crispata from coral reefs of Southern Gulf of Mexico and Mexican Caribbean

description: Three populations of the solar-powered sea slug <em>Elysia crispata</em> on coral reefs from the southern Gulf of Mexico and the Mexican Caribbean were analyzed. This data contains information regarding the number of organisms and sizes found in Cayo Arcas, Verde (Sistema Arrecifal Veracruzano), and Puerto Morelos at different depths and five times of the day (sunrise, morning, zenith, evening, and night).
DOI: 10.34740/kaggle/dsv/6120219
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8061726
title: ASAP4 Dataset 1

description: Raw image stacks of genetically encoded voltage indicators acquired in mice and used to generate Figures 2, 3, and 5 in the publication "A positively tuned voltage indicator for extended electrical recordings in the brain" by Evans et al. 2023, Nature Methods (https://doi.org/10.1038/s41592-023-01913-z)
DOI: 10.5281/zenodo.8061727
title: ASAP4 Dataset 1

description: Raw image stacks of genetically encoded voltage indicators acquired in mice and used to generate Figures 2, 3, and 5 in the publication "A positively tuned voltage indicator for extended electrical recordings in the brain" by Evans et al. 2023, Nature Methods (https://doi.org/10.1038/s41592-023-01913-z)
DOI: 10.6084/m9.figshare.23664681
title: ccb_method

description: CCB for code reviewer recommendation in Deep Learning Method
DOI: 10.34740/kaggle/dsv/6120299
title: Pypi sython pandaerror handling
DOI: 10.25442/hku.23607387
title: Supporting data for Study of Molybdenum Disulfide for Nanofiltration Application: Stability and Transport Mechanism

description: The dataset includes the raw data for the PhD thesis. The three datasets contain three projects: molybdenum disulfide interlayered thin-film nanocomposite membrane, solvent transport investigation in molybdenum disulfide nanosheet membrane, and ion transport investigation in molybdenum disulfidenanosheet membrane. The three datasets give detailed information of the membrane fabrication procedures, structure characterizations and separation performance testing results.
DOI: 10.25442/hku.23607387.v1
title: Supporting data for Study of Molybdenum Disulfide for Nanofiltration Application: Stability and Transport Mechanism

description: The dataset includes the raw data for the PhD thesis. The three datasets contain three projects: molybdenum disulfide interlayered thin-film nanocomposite membrane, solvent transport investigation in molybdenum disulfide nanosheet membrane, and ion transport investigation in molybdenum disulfidenanosheet membrane. The three datasets give detailed information of the membrane fabrication procedures, structure characterizations and separation performance testing results.
DOI: 10.25442/hku.23608038
title: Supporting Data for “Study of the key mutations in SARS-CoV-2 Omicron variant and their functional impact on innate immune response”.

description: The dataset includes phylogenetic trees of interferon antagonists of different SARS-CoV-2 variants. Raw data of interferon resistancy experiments were attached, including qpcr, luciferase assays, and focus forming unit assays. Besides, sanger sequencing of recombinant plasmids and the plaque assays photos of mutant viruses were also attached. <br>
DOI: 10.25442/hku.23608038.v1
title: Supporting Data for “Study of the key mutations in SARS-CoV-2 Omicron variant and their functional impact on innate immune response”.

description: The dataset includes phylogenetic trees of interferon antagonists of different SARS-CoV-2 variants. Raw data of interferon resistancy experiments were attached, including qpcr, luciferase assays, and focus forming unit assays. Besides, sanger sequencing of recombinant plasmids and the plaque assays photos of mutant viruses were also attached. <br>
DOI: 10.13012/b2idb-6827044_v1
title: Data for A Conceptual Model for Transparent, Reusable, and Collaborative Data Cleaning

description: The dissertation_demo.zip contains the base code and demonstration purpose for the dissertation: A Conceptual Model for Transparent, Reusable, and Collaborative Data Cleaning. Each chapter has a demo folder for demonstrating provenance queries or tools. The Airbnb dataset for demonstration and simulation is not included in this demo but is available to access directly from the reference website. Any updates on demonstration and examples can be found online at: https://github.com/nikolausn/dissertation_demo
DOI: 10.25442/hku.23620587
title: Supporting data for "Happiness and its Discontents: The Pursuit of <em>Xingfu</em> among Young Adults with Intellectual Disabilities in Shenzhen"

description: This dataset is the supporting data for "Happiness and its Discontents: The Pursuit of Xingfu among Young Adults with Intellectual Disabilities in Shenzhen". The work was conducted from March 2021 to August 2022 from 16 research informants with intellectual disabilities. Three research methods were applied, including semi-structured interviews, ethnographic observation and photovoice. The dataset includes the 818 photographs collected from photovoice research method and 14 interview transcripts and recordings and a file of fieldnotes, which are confidential for my research informants' interests.
DOI: 10.25442/hku.23620587.v1
title: Supporting data for "Happiness and its Discontents: The Pursuit of <em>Xingfu</em> among Young Adults with Intellectual Disabilities in Shenzhen"

description: This dataset is the supporting data for "Happiness and its Discontents: The Pursuit of Xingfu among Young Adults with Intellectual Disabilities in Shenzhen". The work was conducted from March 2021 to August 2022 from 16 research informants with intellectual disabilities. Three research methods were applied, including semi-structured interviews, ethnographic observation and photovoice. The dataset includes the 818 photographs collected from photovoice research method and 14 interview transcripts and recordings and a file of fieldnotes, which are confidential for my research informants' interests.
DOI: 10.6084/m9.figshare.23661045
title: Sleep and Stress Data.xlsx

description: Data from a study looking at first year graudate allied health students' stress and sleep quality during their first two semesters.
DOI: 10.6084/m9.figshare.20101202.v2
title: data

description: the dataset and code for hggnn
DOI: 10.5281/zenodo.7659651
title: Supplementary data for "Testing the efficacy of different molecular tools for parasite conservation genetics: a case study using horsehair worms (Phylum Nematomorpha)"

description: Supplementary data for "Testing the efficacy of different molecular tools for parasite conservation genetics: a case study using horsehair worms (Phylum Nematomorpha)" alignments: alignments used for BEAST ("bayes") and PopArt ("popart"). The "popart" folder also has a traits file per each species. bayesian_plots: TSVs ("tsv") and PDF files ("ogs") generated by BEAST. The "tsv" folder also has the scripts for plotting the results in R. easysfs: scripts, population file and results from the VCF to SFS conversione done by easySFS. fineRADstructure: fineRADstructure input files and output PDF plots ("plots") for <em>C. formosanus</em> ipyrad and Stacks ("stacks") data. logs: logs for ipyrad, ModelTest, PGDspider, PopArt ("popart") and Stacks ("stacks"). The "popart" folder also have the generated networks in a TXT file. The "stacks" folder also has ODS files for calculating the amount of loci per each M/n fixed value. snapclust: STR files used with R for snapclust. Scripts included. stairway_plot: input (blueprint files) and outputs for Stairway Plot 2 analyses. The <em>C. formosanus</em> folder ("chordodes") also has scripts for R plotting. vcfs: VCF and HDF5 files used in this study. Also scripts for filtering/converting data and plotting the PCA with ipyrad (activate python first!) for <em>C. formosanus</em>. "acutogordius" = <em>A. taiwanensis</em><br> "chordodes" = <em>C. formosanus</em><br> "gordius" = <em>G. chiashanus</em>
DOI: 10.5281/zenodo.7659650
title: Supplementary data for "Testing the efficacy of different molecular tools for parasite conservation genetics: a case study using horsehair worms (Phylum Nematomorpha)"

description: Supplementary data for "Testing the efficacy of different molecular tools for parasite conservation genetics: a case study using horsehair worms (Phylum Nematomorpha)" alignments: alignments used for BEAST ("bayes") and PopArt ("popart"). The "popart" folder also has a traits file per each species. bayesian_plots: TSVs ("tsv") and PDF files ("ogs") generated by BEAST. The "tsv" folder also has the scripts for plotting the results in R. easysfs: scripts, population file and results from the VCF to SFS conversione done by easySFS. fineRADstructure: fineRADstructure input files and output PDF plots ("plots") for <em>C. formosanus</em> ipyrad and Stacks ("stacks") data. logs: logs for ipyrad, ModelTest, PGDspider, PopArt ("popart") and Stacks ("stacks"). The "popart" folder also have the generated networks in a TXT file. The "stacks" folder also has ODS files for calculating the amount of loci per each M/n fixed value. snapclust: STR files used with R for snapclust. Scripts included. stairway_plot: input (blueprint files) and outputs for Stairway Plot 2 analyses. The <em>C. formosanus</em> folder ("chordodes") also has scripts for R plotting. vcfs: VCF and HDF5 files used in this study. Also scripts for filtering/converting data and plotting the PCA with ipyrad (activate python first!) for <em>C. formosanus</em>. "acutogordius" = <em>A. taiwanensis</em><br> "chordodes" = <em>C. formosanus</em><br> "gordius" = <em>G. chiashanus</em>
DOI: 10.5281/zenodo.8136974
title: ace-design/qualified-user-stories: Version 1.0

description: First release of the dataset, including ground truth, Visual Narrator, GPT-3.5 and CRF.
DOI: 10.5281/zenodo.8136975
title: ace-design/qualified-user-stories: Version 1.0

description: First release of the dataset, including ground truth, Visual Narrator, GPT-3.5 and CRF.
DOI: 10.5281/zenodo.8133026
title: Flow cytometry data for "Vitamin B12 conveys a protective advantage to phycosphere-associated bacteria at high temperatures"

description: More details—including the analysis pipeline—are available in the GitHub repository: https://github.com/maggimars/bactB12. Direct link to analysis pipeline interactive document: https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html
DOI: 10.5281/zenodo.8133025
title: Flow cytometry data for "Vitamin B12 conveys a protective advantage to phycosphere-associated bacteria at high temperatures"

description: More details—including the analysis pipeline—are available in the GitHub repository: https://github.com/maggimars/bactB12. Direct link to analysis pipeline interactive document: https://maggimars.github.io/bactB12/Flow_Cytometry_Analysis.html
DOI: 10.6084/m9.figshare.23659710
title: <strong>New mechanistic insights of anti-obesity by sleeve gastrectomy-altered gut microbiota and lipid metabolism</strong>

description: The mechanisms that underlie bariatric surgery-related bodyweight loss are not fully understood. Here, we took an unbiased approach of multi-omics to investigate the role of sleeve gastrectomy (SG)-altered gut microbiota in anti-obesity of 5 obese patients. Non-target metabolome sequencing was performed using the fecal and serum samples. Our data show that SG markedly increased microbiota diversity and Rikenellaceae, <em>Alistipes</em>, <em>Parabacteroides</em>, Bactreoidales, and Enterobacteraies robustly increased. These compositional changes were positively correlated with lipid metabolites, including sphingolipids, glycerophospholipids, and unsaturated fatty acids. Increases of Rikenellaceae, Alistipes, and Parabacteroide were reversely correlated with body mass index (BMI). On the basis of these findings, we have identified a number of microbiotas that could be potential targets for treatment of obesity.
DOI: 10.6084/m9.figshare.23659710.v1
title: <strong>New mechanistic insights of anti-obesity by sleeve gastrectomy-altered gut microbiota and lipid metabolism</strong>

description: The mechanisms that underlie bariatric surgery-related bodyweight loss are not fully understood. Here, we took an unbiased approach of multi-omics to investigate the role of sleeve gastrectomy (SG)-altered gut microbiota in anti-obesity of 5 obese patients. Non-target metabolome sequencing was performed using the fecal and serum samples. Our data show that SG markedly increased microbiota diversity and Rikenellaceae, <em>Alistipes</em>, <em>Parabacteroides</em>, Bactreoidales, and Enterobacteraies robustly increased. These compositional changes were positively correlated with lipid metabolites, including sphingolipids, glycerophospholipids, and unsaturated fatty acids. Increases of Rikenellaceae, Alistipes, and Parabacteroide were reversely correlated with body mass index (BMI). On the basis of these findings, we have identified a number of microbiotas that could be potential targets for treatment of obesity.
DOI: 10.5281/zenodo.8134612
title: LUNA16 converted dataset

description: Previously, the work of collecting and processing medical image data, especially the LUNA16 dataset, required a lot of effort and was time-consuming and costly. This work studied the dataset LUNA16 carefully, programmatically converted the LUNA16 database, which was stored in the .mhd/.raw format to the .jpg format, using the Hounsfield Unit scale in combination with Simple ITK library. At the end of the conversion, the new dataset has less storage required than the original dataset, and the research community will be able to access to a preprocessed and prepared data source, reduce the effort and time required for traditional data preprocessing. This not only speeds up the research process, but also gives a great impetus to the development and evaluation of new deep learning methods later on.
description: {"references": ["A. A. A. Setio et al., \"Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge,\" Med. Image Anal., vol. 42, pp. 1\u201313, Dec. 2017, doi: 10.1016/j.media.2017.06.015."]}
DOI: 10.5281/zenodo.8134611
title: LUNA16 converted dataset

description: Previously, the work of collecting and processing medical image data, especially the LUNA16 dataset, required a lot of effort and was time-consuming and costly. This work studied the dataset LUNA16 carefully, programmatically converted the LUNA16 database, which was stored in the .mhd/.raw format to the .jpg format, using the Hounsfield Unit scale in combination with Simple ITK library. At the end of the conversion, the new dataset has less storage required than the original dataset, and the research community will be able to access to a preprocessed and prepared data source, reduce the effort and time required for traditional data preprocessing. This not only speeds up the research process, but also gives a great impetus to the development and evaluation of new deep learning methods later on.
description: {"references": ["A. A. A. Setio et al., \"Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge,\" Med. Image Anal., vol. 42, pp. 1\u201313, Dec. 2017, doi: 10.1016/j.media.2017.06.015."]}
DOI: 10.6084/m9.figshare.23664840
title: Data for “Simultaneous Observation of Whistler-mode Chorus and Fast Magnetosonic Waves During the Magnetic Peak in the Inner Magnetosphere”

description: Data for “Simultaneous Observation of Whistler-mode Chorus and Fast Magnetosonic Waves During the Magnetic Peak in the Inner Magnetosphere”
DOI: 10.6084/m9.figshare.23664699
title: Datos estadísticos: EXCEL Y SPSS de la investigación sobre modelos pedagógicos en Santo Domingo, Ecuador.

description: Datos estadísticos generales en excel y en spss.
DOI: 10.6084/m9.figshare.23664699.v1
title: Datos estadísticos: EXCEL Y SPSS de la investigación sobre modelos pedagógicos en Santo Domingo, Ecuador.

description: Datos estadísticos generales en excel y en spss.
DOI: 10.6084/m9.figshare.23664699.v2
title: Datos estadísticos: EXCEL Y SPSS de la investigación sobre modelos pedagógicos en Santo Domingo, Ecuador.

description: Datos estadísticos generales en excel y en spss.
DOI: 10.6084/m9.figshare.23664825
title: Instrumentos y anexos para estratos de la investigación

description: Instrumentos utilizados en la investigación.
DOI: 10.6084/m9.figshare.23664825.v3
title: Instrumentos y anexos para estratos de la investigación

description: Instrumentos utilizados en la investigación.