cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19695941.v1
title: Additional file 5 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 5: Table S4. Data from sample-by-sample analysis. S3a) CCC pathway strengths for individual ASD and control samples; S3b) Genes in the detected signaling pathways; S3c) disrupted CCC signaling pathways and corresponding genes; S3d) list of unique genes in the dysregulated CCC signaling.
DOI: 10.6084/m9.figshare.19695938.v1
title: Additional file 4 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 4: Table S3. CCC signaling pathways detected in ASD PFC and control datasets.
DOI: 10.6084/m9.figshare.19695932.v1
title: Additional file 2 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 2: Table S2. Lists of Ligand-Receptor Interactions. S2a) List of L-R interactions identified in control PFC; S2b) List of L-R interactions identified in ASD PFC; S2c) List of L-R interactions in control ACC; S2d) List of L-R interactions in ASD ACC.
DOI: 10.6084/m9.figshare.19695929.v1
title: Additional file 1 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 1: Table S1. Summary for PFC. S1a) Numbers of cells and L-R interactions in control and ASD datasets; S1b) Numbers of cells in individual control and ASD samples.
DOI: 10.6084/m9.figshare.19695926.v1
title: Additional file 10 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 10: Table S9. Comparison of the identified pathways by different approaches and their fold changes in strength between ASD and control PFCs.
DOI: 10.6084/m9.figshare.19695921.v1
title: Additional file 4 of Exposure of primary osteoblasts to combined magnetic and electric fields induced spatiotemporal endochondral ossification characteristic gene- and protein expression profiles

description: Additional file 4:. RPKMmean_GOI.xls
DOI: 10.5281/zenodo.6513244
title: ZB Dataset 1

description: ZB Dataset 1
DOI: 10.5281/zenodo.5900049
title: ZB Dataset 1

description: ZB Dataset 1
DOI: 10.6084/m9.figshare.19696531
title: UN IRR files

description: This dataset contains the set of IRR files of UN comments from four SE platforms
DOI: 10.6084/m9.figshare.19696531.v1
title: UN IRR files

description: This dataset contains the set of IRR files of UN comments from four SE platforms
DOI: 10.6084/m9.figshare.16619773.v32
title: Data from "Notch-dependent and -independent transcription are modulated by tissue movements at gastrulation"

description: Data from "Levels of Notch-regulated transcription are modulated by tissue movements at gastrulation":<br>- raw MS2 Live imaging movies: 124 '.lif' files captured in a Leica SP8 confocal. Each is a 1-2h movie of a developing fly embryo in the genetic condition described in the file name. The metadata file contains the information linking each movie with parameters used for image analysis and identifier of the genetic condition ("nickname" column).<br>- data obtained from image analysis: '.mat' files obtained from MATLAB after image analysis for each movie. README contains information of the data structure and all variables stored in each.<br>- numerical data used for figures: text files containing data points used in all figures in the paper. "NumericalData.txt" contains the information about each plot, axes, figure where it's used and name of the file containing the numerical data.
DOI: 10.6073/pasta/185846a59ca4674b680357a4f5b71903
title: Locally verified daily temperature and precipitation data from a NOAA weather station at USDA Jornada Experimental Range headquarters, southern New Mexico USA, 1914-2006

description: This data package contains locally verified daily meteorological observations from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. Daily data has been collected there by USDA staff since 1914 for minimum and maximum air temperature and daily accumulated precipitation using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from the original paper data sheets and have undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. Local verification and transcription of observations from the data sheets ceased in 2006 and data are now directly entered to the NOAA system. Therefore, this dataset is complete and will no longer be added to. All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USC00294426/detail - daily and monthly data are available).
DOI: 10.14457/cu.the.1988.110
title: Comparative studies of bioavailability of naproxen tablets commercially available in Thailand
DOI: 10.34740/kaggle/dsv/3568142
title: BBC News
DOI: 10.6073/pasta/f85805a9e8171e2b466697faec1acd87
title: Locally verified evaporation data from a NOAA evaporation pan at USDA Jornada Experimental Range headquarters, southern New Mexico USA, 1953-1979

description: This data package contains locally verified monthly total pan evaporation data from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. The evaporation pan measurements commenced in 1953 and ended in 1979 when the instrument was decommissioned. Pan evaporation observations were made using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from records retrieved from NOAA in ~1995 and have since undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. There is no further data from this decommissioned instrument, so this dataset is now complete and data will no longer be updated here. All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GSOM/stations/GHCND:USC00294426/detail - monthly pan evaporation data are available back to 1930, but there may be data issues prior to 1953).
DOI: 10.6084/m9.figshare.19696065
title: Additional file 8 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 8: Table 10. Comparison of genes from WGCNA gene module magenta with DEGs between HAZm and. LAZm identified by DEseq2.
DOI: 10.6084/m9.figshare.19696062
title: Additional file 7 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 7: Table 9. Comparison of genes from WGCNA gene module magenta with DEGs between HAZf and. LAZf identified by DEseq2.
DOI: 10.6084/m9.figshare.19696059
title: Additional file 6 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 6: Table 8. GO and KEGG pathway terms associated with gene coexpression modules obtained by WGCNA.
DOI: 10.6084/m9.figshare.19696056
title: Additional file 5 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 5: Table 3. List of differentially expressed genes between male F4 HAZ and LAZ induced by mirror aggression.
DOI: 10.6084/m9.figshare.19696053
title: Additional file 4 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 4: Table 2. List of differentially expressed genes between female F4 HAZ and LAZ induced by mirror aggression.
DOI: 10.6084/m9.figshare.19696050
title: Additional file 3 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 3: Table 1. List of differentially expressed genes between F4 HAZ and LAZ independent of mirror exposure.
DOI: 10.6084/m9.figshare.19696047
title: Additional file 2 of Transcriptomic underpinnings of high and low mirror aggression zebrafish behaviours

description: Additional file 2. Supporting data underlying Fig. 1-9 and Fig. S1-9.
DOI: 10.6084/m9.figshare.19696038
title: Additional file 3 of Chromosomal localization of cohesin is differentially regulated by WIZ, WAPL, and G9a

description: Additional file 3.
DOI: 10.6084/m9.figshare.19696029
title: Additional file 1 of Chromosomal localization of cohesin is differentially regulated by WIZ, WAPL, and G9a

description: Additional file 1.
DOI: 10.6084/m9.figshare.19695993
title: Additional file 3 of Psychological, social and technical factors influencing electronic medical records systems adoption by United States physicians: a systematic model

description: Additional file 3. Data file: Microsoft Excel file of the survey responses for the 13 questions and demographics for the 382 United States physicians.
DOI: 10.6084/m9.figshare.19695953
title: Additional file 9 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 9: Table S8. CCC signaling pathways in ASD ACC and control datasets.
DOI: 10.6084/m9.figshare.19695950
title: Additional file 8 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 8: Table S7. GSEA results for individual cell types.
DOI: 10.6084/m9.figshare.19695947
title: Additional file 7 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 7: Table S6. Gene lists related to neurodevelopmental disorders.
DOI: 10.6084/m9.figshare.19695944
title: Additional file 6 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 6: Table S5. CCC pathway strengths between each cell pair in ASD and control samples.
DOI: 10.6084/m9.figshare.19695941
title: Additional file 5 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 5: Table S4. Data from sample-by-sample analysis. S3a) CCC pathway strengths for individual ASD and control samples; S3b) Genes in the detected signaling pathways; S3c) disrupted CCC signaling pathways and corresponding genes; S3d) list of unique genes in the dysregulated CCC signaling.
DOI: 10.6084/m9.figshare.19695938
title: Additional file 4 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 4: Table S3. CCC signaling pathways detected in ASD PFC and control datasets.
DOI: 10.6084/m9.figshare.19695932
title: Additional file 2 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 2: Table S2. Lists of Ligand-Receptor Interactions. S2a) List of L-R interactions identified in control PFC; S2b) List of L-R interactions identified in ASD PFC; S2c) List of L-R interactions in control ACC; S2d) List of L-R interactions in ASD ACC.
DOI: 10.6084/m9.figshare.19695929
title: Additional file 1 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 1: Table S1. Summary for PFC. S1a) Numbers of cells and L-R interactions in control and ASD datasets; S1b) Numbers of cells in individual control and ASD samples.
DOI: 10.6084/m9.figshare.19695926
title: Additional file 10 of Characterization of cell-cell communication in autistic brains with single-cell transcriptomes

description: Additional file 10: Table S9. Comparison of the identified pathways by different approaches and their fold changes in strength between ASD and control PFCs.
DOI: 10.6084/m9.figshare.19695921
title: Additional file 4 of Exposure of primary osteoblasts to combined magnetic and electric fields induced spatiotemporal endochondral ossification characteristic gene- and protein expression profiles

description: Additional file 4:. RPKMmean_GOI.xls
DOI: 10.25919/1tst-8274
title: Parkes observations for project P1050 semester 2022APRS_05

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 107 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This timing project is necessary for the timing of millisecond pulsars discovered in the current and last semester and for following up our confirmed pulsars from the HTRU Galactic plane survey. The follow-up timing in APRS22 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.25919/ggmg-de14
title: Pathogen profiling of Australian rabbits by metatranscriptomic sequencing

description: Supplementary GO Gene set Enrichment Analysis for publication "Pathogen profiling of Australian rabbits by metatranscriptomic sequencing"
DOI: 10.6084/m9.figshare.19697076.v1
title: Supplementary material for 'Multi-scale Bullseye Antennas' from Multi-scale bullseye antennas

description: We design, simulate and experimentally characterize a multi-scale bullseye antenna for the broadband manipulation of microwaves. The device achieves far-field beam-forming via tailored diffraction at the interface between two concentric bullseye geometries, with near-field energy concentration resulting from the overlap of the diffracted beams.This article is part of the theme issue ‘Wave generation and transmission in multi-scale complex media and structured metamaterials (part 1)’.
DOI: 10.6084/m9.figshare.19697076
title: Supplementary material for 'Multi-scale Bullseye Antennas' from Multi-scale bullseye antennas

description: We design, simulate and experimentally characterize a multi-scale bullseye antenna for the broadband manipulation of microwaves. The device achieves far-field beam-forming via tailored diffraction at the interface between two concentric bullseye geometries, with near-field energy concentration resulting from the overlap of the diffracted beams.This article is part of the theme issue ‘Wave generation and transmission in multi-scale complex media and structured metamaterials (part 1)’.
DOI: 10.6084/m9.figshare.16619773.v33
title: Data from "Notch-dependent and -independent transcription are modulated by tissue movements at gastrulation"

description: Data from "Levels of Notch-regulated transcription are modulated by tissue movements at gastrulation":<br>- raw MS2 Live imaging movies: 124 '.lif' files captured in a Leica SP8 confocal. Each is a 1-2h movie of a developing fly embryo in the genetic condition described in the file name. The metadata file contains the information linking each movie with parameters used for image analysis and identifier of the genetic condition ("nickname" column).<br>- data obtained from image analysis: '.mat' files obtained from MATLAB after image analysis for each movie. README contains information of the data structure and all variables stored in each.<br>- numerical data used for figures: text files containing data points used in all figures in the paper. "NumericalData.txt" contains the information about each plot, axes, figure where it's used and name of the file containing the numerical data.
DOI: 10.5281/zenodo.6510039
title: Pathway2Text: Dataset for Biomedical Pathway Description Generation

description: This is the dataset of the NAACL 2022 paper: Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation. This dataset contains 2,367 pairs of biomedical pathways and textual descriptions. It can be used for automatic pathway description generation. In our paper, we showed it is also appropriate for Text2Graph and BioNER. Read readme.pdf for detaild information.
DOI: 10.5281/zenodo.6497838
title: Pathway2Text: Dataset for Biomedical Pathway Description Generation

description: This is the dataset of the NAACL 2022 paper: Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation. This dataset contains 2,367 pairs of biomedical pathways and textual descriptions. It can be used for automatic pathway description generation. In our paper, we showed it is also appropriate for Text2Graph and BioNER. Read readme.pdf for detaild information.
DOI: 10.6084/m9.figshare.19697092
title: Supplementary Material for: Slow and Powerless Thought Dynamic Relates to Brooding in Unipolar and Bipolar Depression

description: <b><i>Introduction:</i></b> Depression can be characterized by rumination that is featured by spontaneity and perseveration of internally oriented thoughts. At the same time, depressed subjects complain about abnormal slowness and lack of power/energy in their thoughts, suggesting abnormal “thought dynamics.” The relationship between rumination and thought dynamics in depression remains unclear, though. <b><i>Method:</i></b> We investigated thought dynamics and rumination in healthy control, major depressive disorder (MDD), and depressed bipolar disorder (BD) subjects. The dynamics in the spontaneous shift between internally and externally oriented thoughts were measured by a novel method of continuous experience sampling whose time series was subjected to power and frequency analyses. Subjects filled out the Beck Depression Inventory-II and Ruminative Response Scale questionnaires to evaluate current depressive symptoms and ruminative responses to negative affect. The methods used to analyze data included χ<sup>2</sup>, Pearson correlation, ANOVA, and partial correlation. <b><i>Results:</i></b> Our main findings are: (i) increased number and longer duration of internally oriented thought contents in MDD and BD; (ii) reduced thought dynamics with slower frequency (calculated in Hz) and decreased power (power spectral density) in shifting between internally and externally oriented thoughts, especially in MDD and, less strongly, in BD subjects; and (iii) power spectral density as a dimension of thought dynamics is related to brooding rumination with depression severity explaining high degrees of their variance. <b><i>Conclusion:</i></b> Our results show slow frequency and low power in the internal-external thought dynamic of acute MDD and depressed BD. Together with its close relation to depression severity and rumination, our findings highlight the key importance of abnormal dynamics on the cognitive level of depression.
DOI: 10.6084/m9.figshare.19697092.v1
title: Supplementary Material for: Slow and Powerless Thought Dynamic Relates to Brooding in Unipolar and Bipolar Depression

description: <b><i>Introduction:</i></b> Depression can be characterized by rumination that is featured by spontaneity and perseveration of internally oriented thoughts. At the same time, depressed subjects complain about abnormal slowness and lack of power/energy in their thoughts, suggesting abnormal “thought dynamics.” The relationship between rumination and thought dynamics in depression remains unclear, though. <b><i>Method:</i></b> We investigated thought dynamics and rumination in healthy control, major depressive disorder (MDD), and depressed bipolar disorder (BD) subjects. The dynamics in the spontaneous shift between internally and externally oriented thoughts were measured by a novel method of continuous experience sampling whose time series was subjected to power and frequency analyses. Subjects filled out the Beck Depression Inventory-II and Ruminative Response Scale questionnaires to evaluate current depressive symptoms and ruminative responses to negative affect. The methods used to analyze data included χ<sup>2</sup>, Pearson correlation, ANOVA, and partial correlation. <b><i>Results:</i></b> Our main findings are: (i) increased number and longer duration of internally oriented thought contents in MDD and BD; (ii) reduced thought dynamics with slower frequency (calculated in Hz) and decreased power (power spectral density) in shifting between internally and externally oriented thoughts, especially in MDD and, less strongly, in BD subjects; and (iii) power spectral density as a dimension of thought dynamics is related to brooding rumination with depression severity explaining high degrees of their variance. <b><i>Conclusion:</i></b> Our results show slow frequency and low power in the internal-external thought dynamic of acute MDD and depressed BD. Together with its close relation to depression severity and rumination, our findings highlight the key importance of abnormal dynamics on the cognitive level of depression.
DOI: 10.5281/zenodo.5927110
title: 2022 Tracer Artifact

description: Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities
DOI: 10.5281/zenodo.5927109
title: 2022 Tracer Artifact

description: Tracer: Signature-based Static Analysis for Detecting Recurring Vulnerabilities
DOI: 10.6084/m9.figshare.19634486
title: Table S1 from Cross-kingdom interactions and functional patterns of active microbiota matter in governing deadwood decay

description: Information on taxonomic and ecological function of frequently detected bacteria and fungi include in co-occurrence network analysis and properties of microbial co-occurrence networks in beech and spruce deadwood
DOI: 10.6084/m9.figshare.19634486.v1
title: Table S1 from Cross-kingdom interactions and functional patterns of active microbiota matter in governing deadwood decay

description: Information on taxonomic and ecological function of frequently detected bacteria and fungi include in co-occurrence network analysis and properties of microbial co-occurrence networks in beech and spruce deadwood