cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17128547
title: list of features in the National Health and Nutrition Examination Survey (NHANES) data used for biological age constructions

description: biomarkers in NHANES dataset between 1999 and 2012 (age ranged from 20 to 85)
DOI: 10.6084/m9.figshare.17128547.v1
title: list of features in the National Health and Nutrition Examination Survey (NHANES) data used for biological age constructions

description: biomarkers in NHANES dataset between 1999 and 2012 (age ranged from 20 to 85)
DOI: 10.4121/19067345.v1
title: Data underlying the research of: The economic characteristics and operational capabilities and the deposit's grade-tonnage distribution of a hypothetical mine to determine of optimal cut-off grades multi-metal deposits

description: ***General Introduction*** This dataset contains data from the economic characteristics and operational capabilities and the deposit's grade-tonnage distribution of a hypothetical mine. ***Purpose*** The determination of optimal cut-off grades multi-metal deposits with consideration for restrictions using the stockpiling option to maximize mine's profit.<br>
DOI: 10.4121/19067345
title: Data underlying the research of: The economic characteristics and operational capabilities and the deposit's grade-tonnage distribution of a hypothetical mine to determine of optimal cut-off grades multi-metal deposits

description: ***General Introduction*** This dataset contains data from the economic characteristics and operational capabilities and the deposit's grade-tonnage distribution of a hypothetical mine. ***Purpose*** The determination of optimal cut-off grades multi-metal deposits with consideration for restrictions using the stockpiling option to maximize mine's profit.<br>
DOI: 10.6084/m9.figshare.19083617
title: Nanopore human test data

description: built as described here: https://hackmd.io/@astrobiomike/making-test-nanopore-human-dataset
DOI: 10.6084/m9.figshare.19083617.v1
title: Nanopore human test data

description: built as described here: https://hackmd.io/@astrobiomike/making-test-nanopore-human-dataset
DOI: 10.21227/w3eb-j271
title: Cascade_neural_approximating

description: The supplementary Data is divided into three parts, namely：------------Code------------Data------------Metric 1. The Code section is the Code related to this article, including network Code and image automatic evaluation Code.------------Code-----------------HRCN-----------------BicycleGAN-----------------Code_For_Metric_MATLAB2. The Data section is the training Data and the Data generated using BicycleGAN.------------Data-----------------Dataset-----------------low_resolution_from_sampling3. The Metric section is our statistical results and the associated intermediate production result------------Metric-----------------spfig2-----------------spfig3-----------------fig5-----------------fig6-----------------fig6.xls
DOI: 10.5281/zenodo.5910565
title: Stronger Vertical Wind Shear Leads to Earlier Secondary Eyewall Formation

description: file1(s100_azimuthal_uvrd.d) : S100's u、v wind and reflectivity fie2(s100_chi_vr.d): S100's the irrotational component of the radial velocity file3(s125_azimuthal_saturation_deficit.d): S125's column-integrated saturation deficit
DOI: 10.5281/zenodo.5910564
title: Stronger Vertical Wind Shear Leads to Earlier Secondary Eyewall Formation

description: file1(s100_azimuthal_uvrd.d) : S100's u、v wind and reflectivity fie2(s100_chi_vr.d): S100's the irrotational component of the radial velocity file3(s125_azimuthal_saturation_deficit.d): S125's column-integrated saturation deficit
DOI: 10.7295/w9cil54692
title: CIL:54692, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54693
title: CIL:54693, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54694
title: CIL:54694, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54696
title: CIL:54696, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54697
title: CIL:54697, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54698
title: CIL:54698, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54699
title: CIL:54699, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54700
title: CIL:54700, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54701
title: CIL:54701, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54702
title: CIL:54702, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54703
title: CIL:54703, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54704
title: CIL:54704, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54705
title: CIL:54705, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54706
title: CIL:54706, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54707
title: CIL:54707, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54708
title: CIL:54708, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54709
title: CIL:54709, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54710
title: CIL:54710, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54711
title: CIL:54711, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54712
title: CIL:54712, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54713
title: CIL:54713, Bacteria E. coli, MC1061
DOI: 10.7295/w9cil54714
title: CIL:54714, Bacteria E. coli, MC1061
DOI: 10.5281/zenodo.5912229
title: Supplementary Datasets for the ChIP-Hub paper

description: Metadata files and peak files in BED format
DOI: 10.5281/zenodo.5881495
title: Construction of cynomolgus monkey cell atlas by scATAC seq and scRNA seq

description: In this study, we tried to create a cellular transcriptome map of cynomolgus monkeys at the single-cell level. The cell landscape covers major organs including adipose, aorta, bladder, breast, colon, heart, kidney, liver, lung, muscle, spleen, stomach, testis, tongue, trachea and uterus. We also perform an integrative analysis of scRNA-seq and scATAC-seq of several organs to define transcriptional and epigenetic changes in cynomolgus monkey. Importantly, we have compared the differences in cell maps of human, mouse and monkey, we hope to provide sufficient information about primates for subsequent preclinical experiments.
DOI: 10.5281/zenodo.5881494
title: Construction of cynomolgus monkey cell atlas by scATAC seq and scRNA seq

description: In this study, we tried to create a cellular transcriptome map of cynomolgus monkeys at the single-cell level. The cell landscape covers major organs including adipose, aorta, bladder, breast, colon, heart, kidney, liver, lung, muscle, spleen, stomach, testis, tongue, trachea and uterus. We also perform an integrative analysis of scRNA-seq and scATAC-seq of several organs to define transcriptional and epigenetic changes in cynomolgus monkey. Importantly, we have compared the differences in cell maps of human, mouse and monkey, we hope to provide sufficient information about primates for subsequent preclinical experiments.
DOI: 10.5439/1832143
title: Clear-air Vertical Air Motion Within the Marine Boundary Layer

description: The Doppler lidars (DL) at the ARM observatories operate at 1.5-micrometer wavelength and record backscatter and mean Doppler velocity. The DL present at the ARM ENA site records these quantities at a 1-second temporal and 30-meter range resolution. Reported here are daily files containing gridded values of noise-filtered and calibrated backscatter, and noise-filtered mean Doppler velocity. In addition we also report the noise-filtered and calibrated gradient of backscatter that is used to derive estimates of cloud base height. All of the variables are reported at a uniform 5-second temporal resolution and 30-m range resolution. The instrument reported raw backscatter was first corrected for telescope focus function, filtered for noise, and then calibrated by exploiting the constant lidar ratio exhibited during nonprecipitating stratocumulus cloud conditions. Hence, the reported backscatter can be used to derive aerosol and hydrometeor properties. Daily files are reported for the summer Intensive Operational Period (IOP) of the Aerosol, and Cloud and Experiments in the Eastern North Atlantic (ACE-ENA) field campaign. Similar files can be produced for any DL at ARM observatories. Please find below the header of the NetCDF files. double time (time) ; time:Long_Name = "Time" ; time:units = "Seconds from 1970-1-1 0:00:00" ; double height (height) ; height:Long_Name = "Height" ; height:units = "meters" ; double dl_el (time) ; dl_el:Long_Name = "elevation" ; dl_el:units = "degrees"; double dl_beta (time, height) ; dl_beta:Long_Name = "Noise Filtered Calibrated Backscatter" ; dl_beta:units = "1 / (m * Sr)" ; double dl_velo (time, height); dl_velo:Long_Name = "Mean Doppler Velocity" ; dl_velo:units = "m/s" ; double dl_att (time, height) ; dl_att:Long_Name = "Gradient of Backscatter" ; dl_att:units = "1 / (m ^ 2 * Sr)" ; double base (time) ; base:Long_Name = "Cloud base height" ; base:units = "meters" ;
DOI: 10.5439/1832166
title: Turbulence Properties at the ENA site

description: The data set includes the turbulence properties as derived from the data collected by the Doppler lidar (DL) at the ARM Eastern North Atlantic (ENA) site. Among the reported turbulence properties included are profiles of variance of vertical air motion, skewness of vertical air motion, updraft strength, downdraft strength, updraft fraction, and downdraft fraction. Due to the persistent presence of drizzle at the location, the DL echoes were classified as those corresponding to aerosols and drizzle using the backscatter cross-section threshold. This daily backscatter cross-section threshold is also reported. The data set begins on January 1, 2015 and ends January 1, 2021. The gaps in the data set correspond to the periods when the instrument was not operational. The header of the NetCDF file is as below. netcdf dl.turb.stats { dimensions: time = 52609; height = 241; threshold_time = 1828; variables: double time(time); time:Long_Name = "seconds since 1970-1-1"; time:units = "seconds"; double height(height); height:Long_Name = "height of the center of the range gate above ground"; height:units = "meters"; double echo_fraction(time, height); echo_fraction:Long_Name = "Fraction of hour with valid Doppler lidar echoes" ; echo_fraction:units = "N/A"; double wvar(time, height); wvar:Long_Name = "Variance of vertical air motion"; wvar:units = "m^2/s^2"; double wskew(time, height); wskew:Long_Name = "Skewness of vertical air motion"; wskew:units = "N/A"; double updraft_velocity(time, height); updraft_velocity:Long_Name = "Hourly averaged updraft velocity"; updraft_velocity:units = "m/s"; double downdraft_velocity(time, height); downdraft_velocity:Long_Name = "Hourly averaged downdraft velocity"; downdraft_velocity:units = "m/s"; double updraft_fraction(time, height); updraft_fraction:Long_Name = "Hourly updraft fraction"; updraft_fraction:units = "N/A"; double downdraft_fraction(time, height); downdraft_fraction:Long_Name = "Hourly downdraft fraction"; downdraft_fraction:units = "N/A"; double threshold_time(threshold_time); threshold_time:Long_Name = "Seconds since 1970-1-1 for the day"; threshold_time:units = "seconds"; double bscat_threshold(threshold_time); bscat_threshold:Long_Name = "Backscatter threshold used for discerning lidar returns from hydrometeors and aerosols."; bscat_threshold:units = "1/(m*Sr)"; }
DOI: 10.6084/m9.figshare.19084087
title: Additional file 2 of The poor accuracy of D-dimer for the diagnosis of prosthetic joint infection but its potential usefulness in early postoperative infections following revision arthroplasty for aseptic loosening

description: Additional file 2: Appendix S2. Diagnostic Accuracy of individual preoperative tests and combinated test in PJI. PPV Positive predictive value; NPV Negative predictive value; AUC Area under the curve; CI Confidence interval.
DOI: 10.6084/m9.figshare.19084087.v1
title: Additional file 2 of The poor accuracy of D-dimer for the diagnosis of prosthetic joint infection but its potential usefulness in early postoperative infections following revision arthroplasty for aseptic loosening

description: Additional file 2: Appendix S2. Diagnostic Accuracy of individual preoperative tests and combinated test in PJI. PPV Positive predictive value; NPV Negative predictive value; AUC Area under the curve; CI Confidence interval.
DOI: 10.6084/m9.figshare.19084114
title: Additional file 2 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 2: Table S2. Codon Usage in Z. hajarensis chloroplast genome.
DOI: 10.6084/m9.figshare.19084114.v1
title: Additional file 2 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 2: Table S2. Codon Usage in Z. hajarensis chloroplast genome.
DOI: 10.6084/m9.figshare.19084117
title: Additional file 3 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 3: Table S3. Average pairwise distance of complete chloroplast sequence from Z. hajarensis with related species.
DOI: 10.6084/m9.figshare.19084120
title: Additional file 4 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 4: Table S4. Average pairwise distance of chloroplast shared genes from Z. hajarensis with related species.
DOI: 10.6084/m9.figshare.19084120.v1
title: Additional file 4 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 4: Table S4. Average pairwise distance of chloroplast shared genes from Z. hajarensis with related species.
DOI: 10.6084/m9.figshare.19084117.v1
title: Additional file 3 of Uncovering the first complete plastome genomics, comparative analyses, and phylogenetic dispositions of endemic medicinal plant Ziziphus hajarensis (Rhamnaceae)

description: Additional file 3: Table S3. Average pairwise distance of complete chloroplast sequence from Z. hajarensis with related species.
DOI: 10.6084/m9.figshare.19084146
title: Additional file 1 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 1: Supplementary File 1. TPM cell type. Description: List of Transcripts cell type-specific.
DOI: 10.6084/m9.figshare.19084146.v1
title: Additional file 1 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 1: Supplementary File 1. TPM cell type. Description: List of Transcripts cell type-specific.
DOI: 10.6084/m9.figshare.19084149
title: Additional file 2 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 2: Supplementary File 2. PCA correlated Genes. Description: List of genes correlated with the 2 dimensions of the PCA analysis.
DOI: 10.6084/m9.figshare.19084149.v1
title: Additional file 2 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 2: Supplementary File 2. PCA correlated Genes. Description: List of genes correlated with the 2 dimensions of the PCA analysis.
DOI: 10.6084/m9.figshare.19084152
title: Additional file 3 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 3: Supplementary File 3. Go terms cell type-specific. Description: List of GO terms over-represented in cell type-specific lists of transcripts.
DOI: 10.6084/m9.figshare.19084152.v1
title: Additional file 3 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 3: Supplementary File 3. Go terms cell type-specific. Description: List of GO terms over-represented in cell type-specific lists of transcripts.
DOI: 10.6084/m9.figshare.19084155
title: Additional file 4 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 4: Supplementary File 4. Lists of DEGs. Description: Lists of genes differently expressed in LE, GE and ST cells from high and low progesterone cows.
DOI: 10.6084/m9.figshare.19084155.v1
title: Additional file 4 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 4: Supplementary File 4. Lists of DEGs. Description: Lists of genes differently expressed in LE, GE and ST cells from high and low progesterone cows.
DOI: 10.6084/m9.figshare.19084158.v1
title: Additional file 5 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 5: Supplementary File 5. GO terms over-represented in DEGs lists. Description: List of GO terms over-represented in lists of genes differently expressed in GE and ST cells from high and low progesterone cows.
DOI: 10.6084/m9.figshare.19084158
title: Additional file 5 of Progesterone differentially affects the transcriptomic profiles of cow endometrial cell types

description: Additional file 5: Supplementary File 5. GO terms over-represented in DEGs lists. Description: List of GO terms over-represented in lists of genes differently expressed in GE and ST cells from high and low progesterone cows.
DOI: 10.5281/zenodo.5912262
title: Dataset: Large-eddy simulation of the ice shelf-ocean boundary layer model output

description: This repository contains large-eddy simulation output from the CFD model <em>Diablo</em>. The simulations are of the boundary layer beneath a melting ice shelf. This model output underpins the submitted manuscript <em>Regimes and transitions in the basal melting of Antarctic ice shelves</em> submitted to the <em>Journal of Physical Oceanography</em> (December 2021).
DOI: 10.5281/zenodo.5912261
title: Dataset: Large-eddy simulation of the ice shelf-ocean boundary layer model output

description: This repository contains large-eddy simulation output from the CFD model <em>Diablo</em>. The simulations are of the boundary layer beneath a melting ice shelf. This model output underpins the submitted manuscript <em>Regimes and transitions in the basal melting of Antarctic ice shelves</em> submitted to the <em>Journal of Physical Oceanography</em> (December 2021).
DOI: 10.15121/1842336
title: DCIF (Directional Cooling-Induced Fracturing) Westerly Granite AE Borehole Damage Effect Test (Task 3-0)

description: Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on three rectangular Westerly granite blocks (width=depth=4.0", height=2.0") which were preheated to 200, 400, and 600 degree C to induce damage (microcracks) with varying degrees. Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (AEs) and temperature changes on the surface of the sample were monitored. The experiments were conducted under one selected biaxial stress (5.8MPa). The obtained AEs were used to determine the microcracking source locations and amplitude, and the associated moment tensors. The onset time of the AEs was correlated with the cooling temperature, which was used to show that the temperature at the onset of microcracking is not affected significantly by the preexisting damage, compared to the impact of the stress in the sample. Included in this submission are the animations of the AE locations and graphics displaying the measured temperature-AE activity changes for samples with different degrees of microcrack damage.
DOI: 10.25910/smtv-e036
title: Country specific extinction-risk footprint details
DOI: 10.5281/zenodo.5912107
title: Training Data for the NeonTreeEvaluation Benchmark

description: This dataset is the large training data files for the NeonTreeEvaluation Benchmark for individual tree detection from airborne imagery. For each geographic site, given by the NEON four letter code (e.g HARV -&gt; Harvard Forest), there are up to 4 files: a RGB image, a LiDAR tile, and a 426 band hyperpspectral file, and a 1m canopy height file. For more information on the benchmark, and the corresponding R package, see https://github.com/weecology/NeonTreeEvaluation_package Annotations for the tiles, made by looking at the RGB are under version control here: https://github.com/weecology/NeonTreeEvaluation/tree/master/annotations. Download the training.zip to get all files in the same folder organization as the evaluation data.
DOI: 10.6073/pasta/21d1ee71ecfbf60f78eef84b5db35a64
title: MCR LTER: Coral Reefs: KM14-16 Cruise BioGeoChemistry

description: Data products from biogeochemical analyses of bottle sample data collected during the July 2014 UNOLS cruise on the Kilo-Moana around Moorea.We sought to resolve the extent, variability, and magnitude of productivity enrichment around a high tropical island consistent with the phenomenon of an Island Mass Effect (IME). Key biogeochemical constituents and physical oceanographic parameters were measured offshore over the upper 500 m from July 27 to August 7, 2014 around the Society Island of Moorea in French Polynesia in association with the nearshore measurements of the Moorea Coral Reef Long Term Ecological Research program. High-resolution synoptic sampling in a rectangular grid around the island revealed vertical and horizontal patterns in hydrographic conditions, inorganic nutrients, rates of productivity, and concentrations of organic matter that are characteristic of oligotrophic gyre ecosystems. This study was supported in part by the National Science Foundation grants OCE-1236905 to MCR-LTER, OCE-1538428 to CC, OCE-1538393 to CN and OCE-1535203 to JL, and NASA grant NNX11AE87G (The Science of Terra and Aqua) to SM. Data products biogeochemical analyses of bottle sample data during the July 2014 UNOLS cruise on the Kilo-Moana around Moorea.
DOI: 10.5281/zenodo.5912283
title: Training Data for the NeonTreeEvaluation Benchmark

description: This dataset is the large training data files for the NeonTreeEvaluation Benchmark for individual tree detection from airborne imagery. For each geographic site, given by the NEON four letter code (e.g HARV -&gt; Harvard Forest), there are up to 4 files: a RGB image, a LiDAR tile, and a 426 band hyperpspectral file, and a 1m canopy height file. For more information on the benchmark, and the corresponding R package, see https://github.com/weecology/NeonTreeEvaluation_package Annotations for the tiles, made by looking at the RGB are under version control here: https://github.com/weecology/NeonTreeEvaluation/tree/master/annotations. Download the training.zip to get all files in the same folder organization as the evaluation data.
DOI: 10.25910/e60m-2r62
title: Country interaction matrix for territorial footprints
DOI: 10.25910/n1sd-rw69
title: Country interaction matrix for consumption footprints
DOI: 10.6084/m9.figshare.18160673
title: Record of films subjected to cuts in Bengal 1920_1928.xlsx

description: Contains the list of films that were subjected to censorship in Bengal Presidency 1920-1928
DOI: 10.6084/m9.figshare.18160673.v1
title: Record of films subjected to cuts in Bengal 1920_1928.xlsx

description: Contains the list of films that were subjected to censorship in Bengal Presidency 1920-1928
DOI: 10.5281/zenodo.5912287
title: Labeled Images of Sand and Coins

description: The dataset consists of images and associated binary masks, as well as augmented images and associated masks. Images depict sand and coins. Masks depict the coin (white) against a sand background (black). There are 132 augmented images and 132 images and associated labels in jpg format The principal purpose is to provide a dataset to help train a model or design an algorithm to segment the image from the coin background