cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11854152.v1
title: Additional file 3 of Transcriptome profiling of differentially expressed genes in cytoplasmic male-sterile line and its fertility restorer line in pigeon pea (Cajanus cajan L.)

description: Additional file 3: Figure S1. Gene ontology classification of the assembled unigenes. The Y-axis indicates the number of unigenes and X-axis indicates the GO categories. Figure S2 Functional classification of KEGG pathways of the assembled unigenes. The KEGG pathways were classified into six functional categories: A- Metabolism; B- Genetic Information Processing; C- Environmental Information Processing; D- Cellular Processes; E- Organismal Systems; F- Human Diseases. The Y-axis represents the KEGG metabolic pathways. The X-axis represents number of unigenes annotated in that particular pathway. Figure S3 Hierarchical tree graph of over-represented GO terms in the biological process category of down-regulated DEGS. Boxes in the graph represent GO terms labeled according to their GO ID, term definition, and statistical information. Significant terms (adjusted P ≤ 0.05) are in color (red, orange, or yellow), while non-significant terms are shown as white boxes. In the diagram, the degree of color saturation of a box is positively correlated with the enrichment level of the term. Solid, dashed, and dotted lines represent two, one, and zero enriched terms at both ends connected by the line, respectively. The rank direction of the graph is set from top to bottom. Figure S4 Hierarchical tree graph of over-represented GO terms in the biological process category of up-regulated DEGS. Boxes in the graph represent GO terms labeled according to their GO ID, term definition, and statistical information. Significant terms (adjusted P ≤ 0.05) are in color (red, orange, or yellow), while non-significant terms are shown as white boxes. In the diagram, the degree of color saturation of a box is positively correlated with the enrichment level of the term. Solid, dashed, and dotted lines represent two, one, and zero enriched terms at both ends connected by the line, respectively. The rank direction of the graph is set from top to bottom.
DOI: 10.6084/m9.figshare.11854143
title: Additional file 1 of Transcriptome profiling of differentially expressed genes in cytoplasmic male-sterile line and its fertility restorer line in pigeon pea (Cajanus cajan L.)

description: Additional file 1: Table S1. Rcorrector ouput for k-mer content in the raw paired-end data. Table S2. Bowtie2 alignment statistics in sterile (AKCMS11) and fertile restorer (AKPR303). Figure S1. Pearsonâ€™s correlation coefficient between two replicates in sterile AKCMS11 (left) and fertile restorer AKPR303 (right). Figure S2. Graph representing per base sequence quality. a) Sterile AKCMS11 (replicates 1 and 2). b) Fertile AKPR303 (replicates 1 and 2).
DOI: 10.6084/m9.figshare.11854146.v1
title: Additional file 1 of Drought and heat stress tolerance screening in wheat using computed tomography

description: Additional file 1. List of Triticum aestivum accessions.
DOI: 10.6084/m9.figshare.11854140
title: Additional file 3 of Adding country resolution to EXIOBASE: impacts on land use embodied in trade

description: Additional file 3. Land use time series results (1995–2015).
DOI: 10.6084/m9.figshare.11854143.v1
title: Additional file 1 of Transcriptome profiling of differentially expressed genes in cytoplasmic male-sterile line and its fertility restorer line in pigeon pea (Cajanus cajan L.)

description: Additional file 1: Table S1. Rcorrector ouput for k-mer content in the raw paired-end data. Table S2. Bowtie2 alignment statistics in sterile (AKCMS11) and fertile restorer (AKPR303). Figure S1. Pearsonâ€™s correlation coefficient between two replicates in sterile AKCMS11 (left) and fertile restorer AKPR303 (right). Figure S2. Graph representing per base sequence quality. a) Sterile AKCMS11 (replicates 1 and 2). b) Fertile AKPR303 (replicates 1 and 2).
DOI: 10.6084/m9.figshare.11854137
title: Additional file 2 of Adding country resolution to EXIOBASE: impacts on land use embodied in trade

description: Additional file 2. Concordance matrices for regions, land use types and industries.
DOI: 10.6084/m9.figshare.11854140.v1
title: Additional file 3 of Adding country resolution to EXIOBASE: impacts on land use embodied in trade

description: Additional file 3. Land use time series results (1995–2015).
DOI: 10.6084/m9.figshare.11854137.v1
title: Additional file 2 of Adding country resolution to EXIOBASE: impacts on land use embodied in trade

description: Additional file 2. Concordance matrices for regions, land use types and industries.
DOI: 10.6084/m9.figshare.11854092
title: Additional file 6 of Higher growth of the apple (Malus Ã— domestica Borkh.) fruit cortex is supported by resource intensive metabolism during early development

description: Additional file 6. Statistical significance of fruit growth, metabolite concentration and transcript abundance data during fruit development, in cortex and pith tissues, and in response to fruit load reduction.
DOI: 10.6084/m9.figshare.11854092.v1
title: Additional file 6 of Higher growth of the apple (Malus Ã— domestica Borkh.) fruit cortex is supported by resource intensive metabolism during early development

description: Additional file 6. Statistical significance of fruit growth, metabolite concentration and transcript abundance data during fruit development, in cortex and pith tissues, and in response to fruit load reduction.
DOI: 10.6084/m9.figshare.11854065
title: Additional file 4 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 4: Table S4. Homozygous candidate mutations in root-to-shoot transmission of PTGS (rtp) mutants identified by Can-Seq. The 40 rtp mutants included in this study are listed in numerical order from left to right (EMS#11 to EMS#193). A blue background indicates mutants that do not carry a homozygous candidate mutation for the rtp phenotype, a red background indicates multiple homozygous candidate mutations were detected in a rtp mutant, a yellow background indicates a single homozygous candidate mutation was detected in a rtp mutant, and purple indicates a homozygous candidate mutation was detected in a rtp mutant but genetic mapping showed the candidate mutation was not closely linked to the causative mutation.
DOI: 10.6084/m9.figshare.11854053
title: Additional file 2 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 2: Table S2. Observed and expected percent sequence reads of homozygous candidate mutations in Can-Seq libraries. Two or three rdr6 nonsense mutants recovered in the forward genetic screen for mutants defective in systemic RNAi (11) were included in each Can-Seq library as a positive controls and are in bold.
DOI: 10.6084/m9.figshare.11854056
title: Additional file 3 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 3: Table S3. CAPS/dCAPS PCR zygosity tests for detecting candidate mutations in rtp mutants. CAPS, cleaved amplified polymorphic sequences; dCAPS, derived cleaved amplified polymorphic sequences.
DOI: 10.6084/m9.figshare.11854065.v1
title: Additional file 4 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 4: Table S4. Homozygous candidate mutations in root-to-shoot transmission of PTGS (rtp) mutants identified by Can-Seq. The 40 rtp mutants included in this study are listed in numerical order from left to right (EMS#11 to EMS#193). A blue background indicates mutants that do not carry a homozygous candidate mutation for the rtp phenotype, a red background indicates multiple homozygous candidate mutations were detected in a rtp mutant, a yellow background indicates a single homozygous candidate mutation was detected in a rtp mutant, and purple indicates a homozygous candidate mutation was detected in a rtp mutant but genetic mapping showed the candidate mutation was not closely linked to the causative mutation.
DOI: 10.6084/m9.figshare.11854056.v1
title: Additional file 3 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 3: Table S3. CAPS/dCAPS PCR zygosity tests for detecting candidate mutations in rtp mutants. CAPS, cleaved amplified polymorphic sequences; dCAPS, derived cleaved amplified polymorphic sequences.
DOI: 10.6084/m9.figshare.11854053.v1
title: Additional file 2 of Can-Seq: a PCR and DNA sequencing strategy for identifying new alleles of known and candidate genes

description: Additional file 2: Table S2. Observed and expected percent sequence reads of homozygous candidate mutations in Can-Seq libraries. Two or three rdr6 nonsense mutants recovered in the forward genetic screen for mutants defective in systemic RNAi (11) were included in each Can-Seq library as a positive controls and are in bold.
DOI: 10.6084/m9.figshare.25461019
title: 20240323_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.25461019.v1
title: 20240323_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10604229
title: Structural basis of the mechanism and inhibition of a human ceramide synthase

description: This dataset comprises the raw LC-MS and LC-MS/MS data files that underpin the mass spectral analysis detailed in our publication, “Structural Basis of the Mechanism and Inhibition of a Human Ceramide Synthase.” For ease of navigation and to match each raw data file with its corresponding spectrum in the paper, please refer to the provided Excel spreadsheet.
DOI: 10.5281/zenodo.10854320
title: Structural basis of the mechanism and inhibition of a human ceramide synthase

description: This dataset comprises the raw LC-MS and LC-MS/MS data files that underpin the mass spectral analysis detailed in our publication, “Structural Basis of the Mechanism and Inhibition of a Human Ceramide Synthase.” For ease of navigation and to match each raw data file with its corresponding spectrum in the paper, please refer to the provided Excel spreadsheet Updated_V2
DOI: 10.25500/edata.bham.00000866
title: Research data supporting the publication "Effect of Anionic Lipids on Mammalian Plasma Cell Membrane Properties"

description: Experimental data (For monolayers: isotherms, Brewster Angle Microscopy, X-ray and neutron reflectivity, Grazing Incidence X-ray Diffraction. For supported bilayers: chronocoulometry, electrochemical infrared spectroscopy [PM-IRRAS].)
DOI: 10.5281/zenodo.10853666
title: Source data for figures in "Light-Controlled Multiconfigurational Conductance Switching in a Single 1D Metal-Organic Wire"

description: Data from both experiment and simulation shown as figures in the paper "Source data for figures in Light-Controlled Multiconfigurational Conductance Switching in a Single 1D Metal-Organic Wire", by A. Cahlík et al., to be published in ACS Nano. The data are uploaded as a single *.zip archive. The names of subfolders inside the archive indicate which figure of the paper the data sets belong to.
DOI: 10.5281/zenodo.10853667
title: Source data for figures in "Light-Controlled Multiconfigurational Conductance Switching in a Single 1D Metal-Organic Wire"

description: Data from both experiment and simulation shown as figures in the paper "Source data for figures in Light-Controlled Multiconfigurational Conductance Switching in a Single 1D Metal-Organic Wire", by A. Cahlík et al., to be published in ACS Nano. The data are uploaded as a single *.zip archive. The names of subfolders inside the archive indicate which figure of the paper the data sets belong to.
DOI: 10.6084/m9.figshare.25442191.v10
title: Test bigwig

description: Test dataset to understand the data loading procedure on UCSC.
DOI: 10.34740/kaggle/dsv/7915469
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.25460962
title: Anonymized data for the analysis of "Entropy-based detection of Twitter echo chambers"

description: (Anonymized) dataset supporting the analysis of the manuscript "Entropy-based detection of Twitter echo chambers".Abstract: Echo chambers, i.e. clusters of users exposed to news and opinions in line with their previous beliefs, were observed in many online debates on social platforms. We propose a completely unbiased entropy-based method for detecting echo chambers. The method is completely agnostic to the nature of the data. In the Italian Twitter debate about the Covid-19 vaccination, we find a limited presence of users in echo chambers (about 0.35% of all users). Nevertheless, their impact on the formation of a common discourse is strong, as users in echo chambers are responsible for nearly a third of the retweets in the original dataset. Moreover, in the case study observed, echo chambers appear to be a receptacle for disinformative content.
DOI: 10.5281/zenodo.10854134
title: Dataset for "Permeability development during fault growth and slip in granite"

description: This is a dataset accompanying the publication entitled "Permeability development during fault growth and slip in granite" by F.M. Aben, A. Farsi, and N. Brantut (submitted). The dataset contains the data acquired during three rock deformation experiments (sample numbers WGMS2, WGMS3, WGMS4) on Westerly granite, and is comprised of:



Notes of the experiments

Mechanical data in .txt files, where the header indicates what the column's values are. The experiment name and phase are contained in the file names. 

Processed ultrasonic data in .jld2 format for experiment WGMS4
DOI: 10.2908/tps00212
title: Alle gültige Aufenthaltstitel für Personen unter 20 Jahren alt bis zum 31. Dezember des jeweiligen Jahres
title: Ensemble des permis valables délivrés aux personnes âgées de moins de 20 ans au 31 décembre de chaque année
title: All valid permits issued to persons aged less than 20 years old on 31 December of each year
DOI: 10.5522/04/25386565.v1
title: Data for Gradient boosted decision trees reveal nuances of auditory discrimination behavior

description: Raw data for the article: Gradient boosted decision trees reveal nuances of auditory discrimination behaviour (PLOS Computational Biology).This data repository contains the csv files after extraction of the raw MATLAB metadata files into pandas (Python) dataframes (helper function author: Jules Lebert). The csv files can easily be loaded back into dataframe objects using pandas before the subsampling steps (as documented in the paper, we used subsampling to ensure the number of F0-roved and control F0 trials were relatively equal) are completed.Link to GitHub repository to run the models on this data: https://github.com/carlacodes/boostmodelsA full description of each of the variables within the dataframe can be found in the data_description_instructions_for_datasets_plos_bio.pdf.Abstract: Animal psychophysics can generate rich behavioral datasets, often comprised of many 1000s of trials for an individual subject. Gradient-boosted models are a promising machine learning approach for analyzing such data, partly due to the tools that allow users to gain insight into how the model makes predictions. We trained ferrets to report a target word’s presence, timing, and lateralization within a stream of consecutively presented non-target words. To assess the animals’ ability to generalize across pitch, we manipulated the fundamental frequency (F0) of the speech stimuli across trials, and to assess the contribution of pitch to streaming, we roved the F0 from word token-to-token. We then implemented gradient-boosted regression and decision trees on the trial outcome and reaction time data to understand the behavioral factors behind the ferrets’ decision-making. We visualized model contributions by implementing SHAPs feature importance and partial dependency plots. While ferrets could accurately perform the task across all pitch-shifted conditions, our models reveal subtle effects of shifting F0 on performance, with within-trial pitch shifting elevating false alarms and extending reaction times. Our models identified a subset of non-target words that animals commonly false alarmed to. Follow-up analysis demonstrated that the spectrotemporal similarity of target and non-target words rather than similarity in duration or amplitude waveform was the strongest predictor of the likelihood of false alarming. Finally, we compared the results with those obtained with traditional mixed effects models, revealing equivalent or better performance for the gradient-boosted models over these approaches.<br><br><br>
DOI: 10.5522/04/25386565
title: Data for Gradient boosted decision trees reveal nuances of auditory discrimination behavior

description: Raw data for the article: Gradient boosted decision trees reveal nuances of auditory discrimination behaviour (PLOS Computational Biology).This data repository contains the csv files after extraction of the raw MATLAB metadata files into pandas (Python) dataframes (helper function author: Jules Lebert). The csv files can easily be loaded back into dataframe objects using pandas before the subsampling steps (as documented in the paper, we used subsampling to ensure the number of F0-roved and control F0 trials were relatively equal) are completed.Link to GitHub repository to run the models on this data: https://github.com/carlacodes/boostmodelsA full description of each of the variables within the dataframe can be found in the data_description_instructions_for_datasets_plos_bio.pdf.Abstract: Animal psychophysics can generate rich behavioral datasets, often comprised of many 1000s of trials for an individual subject. Gradient-boosted models are a promising machine learning approach for analyzing such data, partly due to the tools that allow users to gain insight into how the model makes predictions. We trained ferrets to report a target word’s presence, timing, and lateralization within a stream of consecutively presented non-target words. To assess the animals’ ability to generalize across pitch, we manipulated the fundamental frequency (F0) of the speech stimuli across trials, and to assess the contribution of pitch to streaming, we roved the F0 from word token-to-token. We then implemented gradient-boosted regression and decision trees on the trial outcome and reaction time data to understand the behavioral factors behind the ferrets’ decision-making. We visualized model contributions by implementing SHAPs feature importance and partial dependency plots. While ferrets could accurately perform the task across all pitch-shifted conditions, our models reveal subtle effects of shifting F0 on performance, with within-trial pitch shifting elevating false alarms and extending reaction times. Our models identified a subset of non-target words that animals commonly false alarmed to. Follow-up analysis demonstrated that the spectrotemporal similarity of target and non-target words rather than similarity in duration or amplitude waveform was the strongest predictor of the likelihood of false alarming. Finally, we compared the results with those obtained with traditional mixed effects models, revealing equivalent or better performance for the gradient-boosted models over these approaches.<br><br><br>
DOI: 10.5281/zenodo.10850609
title: Repository: No Magmatic Driving Force for Europan Seafloor Volcanism

description: Included are the data and the source par files for the manuscript "No Magmatic Driving Force for Seafloor Volcanism" by Green et al. (in press).  Par files show input parameters for each model included in the main results. Also included are all generated .dat files, named to match their corresponding par file.
DOI: 10.21227/2mh4-4r49
title: underwater common wideband sound source 6-element circular array received dataset

description: The dataset consists of experimental data collected in an anechoic tank, with a specific setup involving single-source transmission and reception by a 6-element circular array with a radius of 0.046 meters. The transmitted signals include common wideband signals used in underwater positioning and communication, such as chirps, single-carrier QPSK, multi-tone signals, and OFDM signals. The transmitter and receiver are located at the same depth, and the receiving array rotates 360 degrees with 30-degree intervals. Two sets of scenarios are defined with transmission distances of 4 meters and 19 meters, as detailed in the dataset's documentation. This dataset can be utilized for the design and optimization of wideband sound source Direction of Arrival (DOA) estimation algorithms.
DOI: 10.6084/m9.figshare.25442191.v11
title: Test bigwig

description: Test dataset to understand the data loading procedure on UCSC.
DOI: 10.17882/99437
title: Histological dataset of herring larval digestive system

description: The larval stage of fish is a period of rapid morphological, anatomical and physiological transformation. The shape and structure of digestive organs is commonly used in the wild to assess the nutritional condition of larvae. However, illustrated descriptions of the ontogeny of the digestive system are rare, and non-existent for herring larvae. We studied the development of the organs of the digestive system of Atlantic herring larvae obtained from strip-spawning of wild adults (Boulogne-sur-Mer, France, November 2018) and reared under controlled condition. Larvae were reared at 13°C from hatching to developmental stage 4 (i.e. all fins present) with ad libitum feeding. The dataset contains annotated images of histological slides (sagittal sections of 7µm) of herring digestive organs throughout larval development. Two histochemical colorations were used to identify organs and mucosubstances (AB: Alcian Blue coloration; ABP Alcian Blue and Periodic acid-Schiff coloration).
The dataset contains 32 files corresponding to 32 herring larvae, and a total of 221 images. The file’s name are constructed as follows:
Type: Hx_Sx_xd_xmm_coloration
 - Hx; x is the larva number
 - Sx; x is the developmental stage
 - xd; x is the day post hatch
 - xmm; x is the total length in mm
 - AB or ABP; corresponds to the histochemical coloration used
Within each folder, each image is re-identified with the larval identity “Hx” and the abbreviation corresponding to the organ(s) visible in the image. And each organ or structure is identified on the image.
Abbreviation / Full name
BB / Brush Border; Br / Brain; E / Enterocyte; EP / Endocrine Pancreas; Ey / Eye; F / Fin; GA / Gill Arch; GC / Goblet Cell; He / Hepatocyte; In / Intestine; Li / Liver; N / Notochord; Nu / Nucleus; O / Otolith; Oe / Oesophagus; P / Pancreas; PC / Pyloric Caecum; Py / Pylorus; SB / Swim Bladder; St / Stomach ; V / Vitellus; Z / Zymogen
DOI: 10.6084/m9.figshare.25442191.v12
title: Test bigwig

description: Test dataset to understand the data loading procedure on UCSC.
DOI: 10.6084/m9.figshare.25461085
title: Study Data for "The impact of urban stream burial on DOM cycling: new insights from a mesocosm experiment"

description: Data supporting the study "The impact of urban stream burial on DOM cycling: new insights from a mesocosm experiment"
DOI: 10.6084/m9.figshare.25461085.v1
title: Study Data for "The impact of urban stream burial on DOM cycling: new insights from a mesocosm experiment"

description: Data supporting the study "The impact of urban stream burial on DOM cycling: new insights from a mesocosm experiment"
DOI: 10.57780/esa-84e5bf5
title: FLEXSense 2019 Campaign

description: In the 2019 Fluorescence Explorer Sense (FLEXSense) campaign, the 2018 campaign activities were continued in order to address some specific, yet still outstanding, issues as well as expand upon the data sets of previous, synergistic FLEX campaign activities. The three-week campaign activities were undertaken in Germany and Italy with the goal of providing a complete set of high-resolution experimental data, including all relevant elements required for the preparation of the FLEX satellite mission.