cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7706728
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) entitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics.
DOI: 10.5281/zenodo.7706910
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) entitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics.
DOI: 10.5281/zenodo.7706748
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) entitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics.
DOI: 10.5281/zenodo.7706749
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) entitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics.
DOI: 10.5281/zenodo.7706912
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) entitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics.
DOI: 10.5281/zenodo.7705963
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms.

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) enitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics, January 2023.Write to Christos Haldoupis
DOI: 10.5281/zenodo.7705964
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms.

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) enitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics, January 2023.Write to Christos Haldoupis
DOI: 10.5281/zenodo.7706818
title: Understanding the diurnal cycle of midlatitude sporadic E. The role of metal atoms.

description: We provide the Arecibo dataset and the FORTRAN program used to produce Figure 4, of the paper (MS# 2023JA031336) enitled "Understanding the diurnal variation of midlatitude sporadic E. The role of metal atoms- ", which was submitted for publication in the Journal of Geophysical Research - Space Physics, January 2023.Write to Christos Haldoupis
DOI: 10.6084/m9.figshare.22229794
title: Discourse quality and opinion change in deliberative mini-publics

description: Data of a quasi-experimental mini-public deliberation event that mimicked a deliberative poll held in 2019 in Shizuoka Prefecture, Japan.
DOI: 10.5281/zenodo.7700130
title: paulflang/cell_cycle_time_course: v1.0.1

description: <strong>Full Changelog</strong>: https://github.com/paulflang/cell_cycle_time_course/compare/v1.0.0...v1.0.1
DOI: 10.5281/zenodo.7699976
title: paulflang/cell_cycle_time_course: v1.0.1

description: <strong>Full Changelog</strong>: https://github.com/paulflang/cell_cycle_time_course/compare/v1.0.0...v1.0.1
DOI: 10.6084/m9.figshare.19493636
title: Online quetionairre survey on NPPs and local agreeemnts.csv

description: Data from an online questionnaire survey conducted in four prefectures in Japan with NPPs to explore the public attitudes towards local agreements<br>
DOI: 10.6084/m9.figshare.19493636.v1
title: Online quetionairre survey on NPPs and local agreeemnts.csv

description: Data from an online questionnaire survey conducted in four prefectures in Japan with NPPs to explore the public attitudes towards local agreements<br>
DOI: 10.7284/149814
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR2201 using a Furuno GP-170 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149817
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR2201 using a Furuno GP-170 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149818
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR2201 using a Trimble ABX-Two instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149819
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR2201 using a Trimble ABX-Two instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149820
title: INS (Inertial Navigation System) data collected during research cruise RR2201 using a iXSea Phins instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149821
title: INS (Inertial Navigation System) data collected during research cruise RR2201 using a Kongsberg Seapath 330+ instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25345/c5rv0d96v
title: MassIVE MSV000091430 - Lipidomic profiling reveals concerted temporal patterns of 2 functionally related lipids in Aedes aegypti females following 3 blood feeding
title: We conducted a lipidomic analysis of the whole body of female Aedes aegypti mosquitoes 14 at different time points over the course of feeding and reproduction. There were temporal biphasic 15 increases of more than 80% of lipids identified at the time of feeding and from 16 h to 30 h post 16 blood meal. During these two increases, the abundance of many lipids dropped while body weight 17 remained stable, probably reflecting blood lipid digestion and the synthesis of vitellogenin in this 18 period. A concerted temporal pattern was particularly strong at the second peak for membrane and 19 signalling lipids such as PE, PI, CL, HexCer and LPA. Lyso-glycerophospholipids showed three 20 distinct change patterns which are functionally related: LPE and LPC, which are membrane lipids, 21 showed little change; LPA, a signalling lipid, showed a dramatic increase from 16 to 30 h PBM; LPI, 22 a bioactive lipid, and both LPG and LPS which are bacterial membrane lipids, showed one signifi-23 cant increase from the time of feeding to 16 hours post blood meal. The result of our study on the 24 anautogenous insect Ae. aegypti point to specific lipids likely to be important in the reproductive 25 process with a role in the formation and growth of ovarian follicles.
DOI: 10.6084/m9.figshare.22229839
title: R script and data from: The efficacy of performing field surveys during dry and rainy seasons to estimate species richness and composition of local bat assemblages

description: Script and datasets to reproduce all analyses from: The efficacy of performing field surveys during dry and rainy seasons to estimate species richness and composition of local bat assemblages
DOI: 10.6084/m9.figshare.22229839.v1
title: R script and data from: The efficacy of performing field surveys during dry and rainy seasons to estimate species richness and composition of local bat assemblages

description: Script and datasets to reproduce all analyses from: The efficacy of performing field surveys during dry and rainy seasons to estimate species richness and composition of local bat assemblages
DOI: 10.6084/m9.figshare.22229878
title: 附录.docx

description: Chinese Academy of Agricultural Sciences Thesis
DOI: 10.5281/zenodo.7352495
title: CX3CR1 CreERT2 TdTomato Fatemap Recombination for brain, meninges, and blood

description: These files contain quantification of recombination efficiency in tamoxifen-injected CX3CR1 CreERT2 TdTomato mice. The blood data was acquired longitudinally over six weeks, whereas the brain and meninges data were acquired at the end of the six weeks. Workspace files are included to demonstrate gating and quantification.
DOI: 10.5281/zenodo.7352494
title: CX3CR1 CreERT2 TdTomato Fatemap Recombination for brain, meninges, and blood

description: These files contain quantification of recombination efficiency in tamoxifen-injected CX3CR1 CreERT2 TdTomato mice. The blood data was acquired longitudinally over six weeks, whereas the brain and meninges data were acquired at the end of the six weeks. Workspace files are included to demonstrate gating and quantification.
DOI: 10.6084/m9.figshare.22229890
title: Experiment origin data.xlsx

description: This dataset includes the power attenuation and the wavelength of laser signal in varying size and mass concentration of coal dust particle .
DOI: 10.6084/m9.figshare.22229890.v1
title: Experiment origin data.xlsx

description: This dataset includes the power attenuation and the wavelength of laser signal in varying size and mass concentration of coal dust particle .
DOI: 10.25345/c5n29ph10
title: MassIVE MSV000091431 - Human islets treated with alpha-difluoromethylornithine in combination with interferon-gamma and interleukin-beta
title: Proteomic data of human islets treated for 24h with alpha-difluoromethylornithine in combination with interferon-gamma and interleukin-beta; 6 biological replicates. Samples were digested with trypsin, then analyzed by LC-DIA-MS. Data was searched with FragPipe/DIA-NN.
DOI: 10.5281/zenodo.7535867
title: Datasets for cell2cell

description: Datasets for the tool cell2cell available in: https://github.com/earmingol/cell2cell This version contains a BALF COVID-19 dataset that consists in 63k immune and epithelial cells in lungs from 3 control, 3 moderate COVID-19, and 6 severe COVID-19 patients. This dataset was previously published in [1], and this object contains the raw counts for the annotated cell types available in: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145926 Here we make available the raw counts as h5ad and seurat objects. <strong>References:</strong> [1] Liao, M., Liu, Y., Yuan, J. et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nat Med 26, 842–844 (2020). https://doi.org/10.1038/s41591-020-0901-9
DOI: 10.5281/zenodo.7593519
title: Datasets for cell2cell

description: Datasets for the tool cell2cell available in: https://github.com/earmingol/cell2cell This version contains a BALF COVID-19 dataset that consists in 63k immune and epithelial cells in lungs from 3 control, 3 moderate COVID-19, and 6 severe COVID-19 patients. This dataset was previously published in [1], and this object contains the raw counts for the annotated cell types available in: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145926 Here we make available the raw counts as h5ad and seurat objects. Additionally, pathway annotations for genes (.gmt files) were obtained from: https://www.gsea-msigdb.org/ <strong>References:</strong> [1] Liao, M., Liu, Y., Yuan, J. et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nat Med 26, 842–844 (2020). https://doi.org/10.1038/s41591-020-0901-9
DOI: 10.5281/zenodo.7706962
title: Datasets for cell2cell

description: Datasets for the tool cell2cell available in: https://github.com/earmingol/cell2cell This version contains a BALF COVID-19 dataset that consists in 63k immune and epithelial cells in lungs from 3 control, 3 moderate COVID-19, and 6 severe COVID-19 patients. This dataset was previously published in [1], and this object contains the raw counts for the annotated cell types available in: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145926 Here we make available the raw counts as h5ad and seurat objects. Additionally, pathway annotations for genes (.gmt files) were obtained from: https://www.gsea-msigdb.org/ <strong>References:</strong> [1] Liao, M., Liu, Y., Yuan, J. et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nat Med 26, 842–844 (2020). https://doi.org/10.1038/s41591-020-0901-9
DOI: 10.5281/zenodo.7535866
title: Datasets for cell2cell

description: Datasets for the tool cell2cell available in: https://github.com/earmingol/cell2cell This version contains a BALF COVID-19 dataset that consists in 63k immune and epithelial cells in lungs from 3 control, 3 moderate COVID-19, and 6 severe COVID-19 patients. This dataset was previously published in [1], and this object contains the raw counts for the annotated cell types available in: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145926 Here we make available the raw counts as h5ad and seurat objects. Additionally, pathway annotations for genes (.gmt files) were obtained from: https://www.gsea-msigdb.org/ <strong>References:</strong> [1] Liao, M., Liu, Y., Yuan, J. et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. Nat Med 26, 842–844 (2020). https://doi.org/10.1038/s41591-020-0901-9
DOI: 10.5281/zenodo.7706926
title: Insect visits to cherry blossoms and wildflowers in sweet cherry orchards: datasets and R scripts

description: This repository contains a number of datasets, all collected in commercial sweet cherry orchards in the West Midlands, UK between 2017-2019. Alleyways in these orchards were sown with native perennial plant species. Datasets include: - cherry blossom and wildflower visitors recorded on pollinator transect surveys.<br> - fruit set and quality (in 2019) from cherry blossoms which were either exposed to insects, insect-excluded, or hand-pollinated. Additionally, all the scripts to analyse these datasets using the software R are also included.
DOI: 10.5281/zenodo.7706925
title: Insect visits to cherry blossoms and wildflowers in sweet cherry orchards: datasets and R scripts

description: This repository contains a number of datasets, all collected in commercial sweet cherry orchards in the West Midlands, UK between 2017-2019. Alleyways in these orchards were sown with native perennial plant species. Datasets include: - cherry blossom and wildflower visitors recorded on pollinator transect surveys.<br> - fruit set and quality (in 2019) from cherry blossoms which were either exposed to insects, insect-excluded, or hand-pollinated. Additionally, all the scripts to analyse these datasets using the software R are also included.
DOI: 10.5281/zenodo.7706973
title: Spectra of northern lowlands of Mars

description: Dataset for the paper of "Water Activity in the Northern Lowlands of Mars Evidenced by In-situ Detection of Hydrated Sulfates by the Zhurong rover".
DOI: 10.5281/zenodo.7706972
title: Spectra of northern lowlands of Mars

description: Dataset for the paper of "Water Activity in the Northern Lowlands of Mars Evidenced by In-situ Detection of Hydrated Sulfates by the Zhurong rover".
DOI: 10.5281/zenodo.7622958
title: Mouse spontaneous behavior reflects individual variation rather than estrous state

description: Repository containing datasets obtained for Levy et al. 2023, available online here: https://doi.org/10.1016/j.cub.2023.02.035 Github link to related analysis code: https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous <strong>Abstract</strong> Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during the estrous cycle is a defining feature of female internal state, one that regulates many aspects of sociosexual behavior. However, it remains unclear whether estrous state influences spontaneous behavior, and if so how these effects might relate to individual behavioral variation. Here we address this question by longitudinally characterizing the open field behavior of female mice across different phases of the estrous cycle, using unsupervised machine learning to decompose spontaneous behavior into its constituent elements1-4. We find that each female mouse exhibits a characteristic pattern of exploration that uniquely identifies it as an individual across many experimental sessions; in contrast, estrous state only negligibly impacts behavior, despite its known effects on neural circuits that regulate action selection and movement. Like female mice, male mice exhibit individual specific patterns of behavior in the open field; however, the exploratory behavior of males is significantly more variable than that expressed by females both within and across individuals. These findings suggest an underlying functional stability to the circuits that support exploration in female mice, reveal a surprising degree of specificity in individual behavior, and provide empirical support for the inclusion of both sexes in experiments querying spontaneous behaviors. <strong>Behavioral DataFrames:</strong> holds the behavioral syllable data used for the analysis described in the manuscript: mean_df_female / scalar_df_female - main female dataset mean_df_male / scalar_df_male - main male dataset mean_df_female_control / mean_df_male_control - datasets for male/female control experiment presented in Fig S3. <strong>Model files:</strong> Additional MoSeq model files used for generating FigS2A and FigS2H.
DOI: 10.5281/zenodo.7622957
title: Mouse spontaneous behavior reflects individual variation rather than estrous state

description: Repository containing datasets obtained for Levy et al. 2023, available online here: https://doi.org/10.1016/j.cub.2023.02.035 Github link to related analysis code: https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous <strong>Abstract</strong> Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during the estrous cycle is a defining feature of female internal state, one that regulates many aspects of sociosexual behavior. However, it remains unclear whether estrous state influences spontaneous behavior, and if so how these effects might relate to individual behavioral variation. Here we address this question by longitudinally characterizing the open field behavior of female mice across different phases of the estrous cycle, using unsupervised machine learning to decompose spontaneous behavior into its constituent elements1-4. We find that each female mouse exhibits a characteristic pattern of exploration that uniquely identifies it as an individual across many experimental sessions; in contrast, estrous state only negligibly impacts behavior, despite its known effects on neural circuits that regulate action selection and movement. Like female mice, male mice exhibit individual specific patterns of behavior in the open field; however, the exploratory behavior of males is significantly more variable than that expressed by females both within and across individuals. These findings suggest an underlying functional stability to the circuits that support exploration in female mice, reveal a surprising degree of specificity in individual behavior, and provide empirical support for the inclusion of both sexes in experiments querying spontaneous behaviors. <strong>Behavioral DataFrames:</strong> holds the behavioral syllable data used for the analysis described in the manuscript: mean_df_female / scalar_df_female - main female dataset mean_df_male / scalar_df_male - main male dataset mean_df_female_control / mean_df_male_control - datasets for male/female control experiment presented in Fig S3. <strong>Model files:</strong> Additional MoSeq model files used for generating FigS2A and FigS2H.
DOI: 10.6084/m9.figshare.22229932
title: The data of group for warmth

description: This data is the data of agricultural projects in 2017, including the gender, race and country of borrowers and lenders. <br>
DOI: 10.6084/m9.figshare.22229932.v1
title: The data of group for warmth

description: This data is the data of agricultural projects in 2017, including the gender, race and country of borrowers and lenders. <br>
DOI: 10.6084/m9.figshare.22230049
title: AGTFP Data for Submission

description: <strong>AGTPF data of 41 cities in the Yangtze River Delta Region from 2000 to 2020</strong>
DOI: 10.6084/m9.figshare.22230049.v1
title: AGTFP Data for Submission

description: <strong>AGTPF data of 41 cities in the Yangtze River Delta Region from 2000 to 2020</strong>
DOI: 10.34740/kaggle/dsv/5125003
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.6332602
title: Replication package for "Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python"

description: This dataset includes scripts and data files used to generate all analysis and results from the paper. A <strong>README.md</strong> file is included for details on using the scripts. The dataset is quite large. It is broken down into three archives. All scripts are in <strong>replication-pkg.zip</strong> and the other 2 files only contain data. So if you want to just inspect the analysis, you only need that single zip. If you grab the <strong>data-cached.zip</strong> file and extract it, it will need around 3GB of space. This is the processed dataset stored in Parquet files. Use this if you want to just recreate the tables/figures from the paper. If you want to make changes to the analyses, you will need the raw data in <strong>data-raw.zip</strong>. This will need around 29GB of space once extracted. If you then generate the CSV files from those TXT files (which you will need to do for any custom analysis), you will need an additional 22GB of space.
DOI: 10.5281/zenodo.6332603
title: Replication package for "Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python"

description: This dataset includes scripts and data files used to generate all analysis and results from the paper. A <strong>README.md</strong> file is included for details on using the scripts. The dataset is quite large. It is broken down into several smaller files. All scripts are in <strong>replication-pkg.zip</strong> and the other 3 files only contain data. So if you want to just inspect the analysis, you only need that single zip. If you grab all zip files and extract them, it will need around 31GB of space. If you also generate the CSV files from the TXT files, you will need an additional 30GB of space.