cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9fs37yq
title: Modeled and observed trends in streamflows at managed basins in the conterminous U.S. from October 1, 1983 through September 30, 2016

description: This data release contains trend results computed on the basis of modeled and observed daily streamflows at 1,257 gages across the conterminous U.S. from October 1, 1983 through September 30, 2016. Study gages were selected from the GAGES-II dataset of gages classified as non-reference which means streamflows may be affected by human influence. Modeled daily streamflows were computed using the deterministic Precipitation Runoff Modeling System (PRMS), and five statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Correlation Drainage Area Ratio (MCDAR), Ordinary Kriging of the logarithms of discharge per unit area (OKDAR), Nearest-Neighbor nonlinear spatial interpolation using flow duration curves (NNQPPQ), and Map-Correlation nonlinear spatial interpolation using flow duration curves (MCQPPQ). Results include trends in annual means, annual percentiles (1, 5, 10, 25, 50, 75, 90, 95, 99), annual extremes (1-day high, 3-day high, and 7-day low). Bias and volumetric efficiency statistics between observed and modeled streamflows also are provided.
DOI: 10.5066/p9pgze0s
title: Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS),1980-2016, Daymet Version 3 calibration

description: This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical conditions for the period October 1, 1980 to September 30, 2016 for five different calibration configurations; the first three years of the simulation should be considered the initialization period and should not be used for subsequent analysis. The five versions of model parameters and associated model output included in this data release are described in table 1 and in the Supplemental Information section of this metadata record. Table 2 provides information about the baseline datasets used for model calibration for each of the five parameter configurations. Figure 1 shows a schematic of the multi-step calibration procedure used to develop the model parameters. Table 3 describes the 36 model output variables that are included in the five attached folders. Five .tar folders are named according to the simulation configuration in table 1 and include the 36-model output variable files. Table 4 provides information about the 8,274 streamgage locations that are included in the NHM-PRMS. The NHM-PRMS parameter and control files for each of the five simulations are located on the child pages associated with this data release. The PRMS climate forcing input files for the simulations are in the DAYMET_CBH.zip folder. Summary files by streamgage of measured and simulated streamflow for the byHRU, byHRU_musk, and byHRU_musk_obs simulations are in the Streamgage_location_simulations_5999.zip folder. Any time series data in the model output files prior to the October 1, 1983 start date should be considered part of the model initialization period and should not be used. Please refer to the Supplemental Information element of this metadata record for more information about the model calibration, inputs, outputs, and summaries included in this data release.
DOI: 10.6084/m9.figshare.11895801
title: Additional file 4 of Whole genome sequencing and comparative genomic analysis of oleaginous red yeast Sporobolomyces pararoseus NGR identifies candidate genes for biotechnological potential and ballistospores-shooting

description: Additional file 4. Gene structure optimization resulted from RNA-seq data.
DOI: 10.6084/m9.figshare.730621
title: Gaussian Job Archive for C10H13NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.730627
title: Gaussian Job Archive for C8H9NO2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.705830
title: Gaussian Job Archive for C8H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.25387/g3.7701509.v1
title: Supplemental Material for Bajgain, Zhang, and Anderson, 2019

description: Table S1: No. of SNPs distributed across the IWG genome (21
chromosomes). Physical length of the chromosomes are shown in base pairs (based
on v2.1 reference genome). The no. of QTL detected in each chromosome is
correlated with a) no. of SNPs in the respective chromosome, and b) the length
of the respective chromosome. <br><br><br>Table S2: Output from the program STRUCTURE for K=1 to K= 10, summarized by Structure Harvester. <br><br><br>Table S3: Complete table of significant SNPs detected in the study. In the manuscript, we have only displayed common QTL in Table 2, which is the truncated version of this table. <br><br>
 <br>Table S4: Several attributes of SNPs that were significantly
 associated with the yield and yield component traits in this study. There are
 11 columns in this sheet, which are (from left to right): trait the SNP is
 associated with, SNP name, chromosome the SNP is positioned in, physical
 position of the SNP, estimate of the allelic effect from GWAS, percentage of
 phenotypic variation explained by the SNP (R2), major SNP allele, minor SNP
 allele, minor allele frequency, favorable allele, and if the favorable allele
 is major or minor. <br>
 <br><br>Table S5: Frequencies of favorable alleles belonging to the
 significant SNPs detected in this study compared with that from the first
 cycle of IWG breeding and the University of Minnesota (UMN_C1). Note that
 significant SNPs detected in this study does not mean they were also
 significantly associated with these traits in UMN_C1. <br><br><br>Table S6: Comparison of QTL detected by Zhang et al (2017) and our study. Some of this data is displayed in Figure 5. <br>

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DOI: 10.18462/iir.icr.2023.0531
title: Brine-to-water heat pump test system for small-scale oil-free turbo compressors.
DOI: 10.5285/92e823b277cc4f439803a87f5246db5f
title: MIDAS Open: UK daily temperature data, v202107

description: The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2020. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2020, historical data recovery has added further data for Eskdalemuir (1915-1948) and Eastbourne (1887-1910). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.
DOI: 10.5066/p9dpsy6g
title: Statistical daily streamflow estimates at HUC12 outlets in the conterminous United States, Water Years 1981-2017

description: This data release contains daily time series estimates of natural streamflow at the outlets of more than 80,000 12-digit hydrologic units in 19 study regions across the conterminous U.S. from October 1, 1980 through September 30, 2017, using three statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Correlation Drainage Area Ratio (MCDAR), and Ordinary Kriging of the logarithms of discharge per unit area (OKDAR). Location information and drainage areas for index gages were obtained from the "Reference" gages of the GAGES-II dataset (Falcone, 2011, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011); location information and drainage areas for the HUC12 outlets were derived from attributes of the NHDPlus Version 2.1 (Price, 2016; Wieczorek and others, 2018). Daily streamflow data for index gages were retrieved from the National Water Information System (NWIS) on September 7, 2018. NNDAR and MCDAR estimates were computed following methods described by Farmer and others (2014). OKDAR estimates were computed using pooled variograms for each study region following methods described by Farmer (2016). The three sets of streamflow estimates represent expected natural streamflow conditions with minimal disturbance by human activities, in other words, without the effects of regulation, diversion, mining, or other anthropogenic activities.
DOI: 10.5066/p9z5d4zt
title: Modeled and observed streamflow statistics at managed basins in the conterminous U.S. from October 1, 1983 through September 30, 2016.

description: This data release contains values of 29 streamflow statistics computed from modeled and observed daily streamflows from October 1, 1983, through September 30, 2016 at 1,257 streamgages in the 19 study regions defined by Falcone (2011) covering the conterminous United States. The streamflow statistics were computed at GAGES-II non-reference streamgages (Falcone, 2011), determined to be affected by only irrigation or regulation among anthropogenic influences. At each streamgage, statistics were computed from daily streamflow observations, from daily streamflow time series computed using the National Hydrologic Model-Precipitation Runoff Modeling System (NHM-PRMS) model (the “by headwater” and "by observation" calibrations with Muskingum routing; Hay and LaFontaine, 2020), and from daily streamflow time series computed using five statistical time series models fitted to reference basins (Russell and others, 2021). The data release comprises nine .csv files. The streamflow statistics values are provided in eight of these files, one each for the observed, the two NHM-PRMS calibrations, and the five statistical time series models. The remaining file is a summary table, which provides period-of-record information for each streamgage. References cited: Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow [digital spatial dataset]: U.S. Geological Survey Water Resources NSDI Node web page, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011. Hay, L.E., and LaFontaine, J.H., 2020, Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1980-2016, Daymet Version 3 calibration: U.S. Geological Survey data release, https://doi.org/10.5066/P9PGZE0S. Russell, A.M., Over, T.M., Farmer, W.H., and Miles, K.J., 2021, Statistical daily streamflow estimates at GAGES-II non-reference streamgages in the conterminous Unites States, Water Years 1981-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9PA9PKM.
DOI: 10.6084/m9.figshare.16614506
title: Additional file 5 of Comprehensive analysis of lysine crotonylation modification in patients with chronic renal failure

description: Additional file 5: Table S5. GO-based enrichment analysis of crotonylated proteins in terms of cellular component, molecular function, and biological process.
DOI: 10.6084/m9.figshare.16614482
title: Additional file 1 of Comprehensive analysis of lysine crotonylation modification in patients with chronic renal failure

description: Additional file 1: Table S1. Detailed information for all identified crotonylated peptides and their corresponding proteins.
DOI: 10.6084/m9.figshare.16614503.v1
title: Additional file 4 of Comprehensive analysis of lysine crotonylation modification in patients with chronic renal failure

description: Additional file 4: Table S4. GO annotation detail of the crotonylated proteins.
DOI: 10.6084/m9.figshare.16614494.v1
title: Additional file 3 of Comprehensive analysis of lysine crotonylation modification in patients with chronic renal failure

description: Additional file 3: Table S3. The seven motifs retrieved from lysines crotonylated peptides.
DOI: 10.5066/p9xt4wsp
title: Cross-validation results for five statistical methods of daily streamflow estimation at 1,385 reference streamgages in the conterminous United States, Water Years 1981-2017

description: This data release contains daily time series estimates of natural streamflow for 1,385 streamgages in 19 study regions in the conterminous U.S. from October 1, 1980, through September 30, 2017. These estimates are provided for gages from mostly undisturbed watersheds as defined by Falcone (2011), using five statistical techniques: nearest-neighbor drainage area ratio (NNDAR), map-correlation drainage area ratio (MCDAR), nearest-neighbor nonlinear spatial interpolation using flow duration curves (NNQPPQ), map-correlation nonlinear spatial interpolation using flow duration curves (MCQPPQ), and ordinary kriging of the logarithms of discharge per unit area (OKDAR). Location information and basin characteristics for study gages were obtained from the "Reference" gages of the GAGES-II dataset (Falcone, 2011, https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011). Observed daily streamflow data were retrieved from the National Water Information System (NWIS) on September 7, 2018. NNDAR, MCDAR, NNQPPQ, and MCQPPQ estimates were computed following methods described by Farmer and others (2014), with updates to the flow-duration curve modeling which is described by Over and others (2018). OKDAR estimates were computed using pooled variograms for each study region following methods described by Farmer (2016). Daily streamflow estimation was conducted in a leave-one-out-cross-validation approach where each streamgage was treated as if ungaged and all the remaining streamgages in a study region were used to calibrate each method and perform estimations at the "ungaged" site. The observed streamflow records were compared to the five simulated streamflow records to help assess performance of each method. These performance metrics are provided at each gage for all five statistical methods.
DOI: 10.21227/h2q30w
title: Real-life Power Quality Transients
DOI: 10.6084/m9.figshare.11895891
title: Additional file 20 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 20: Table S7. Nonsynonymous and synonymous substitution rates of orthologous bHLH genes in B. napus
DOI: 10.6084/m9.figshare.663603
title: Gaussian Job Archive for C4H13N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.11895810
title: Additional file 5 of Whole genome sequencing and comparative genomic analysis of oleaginous red yeast Sporobolomyces pararoseus NGR identifies candidate genes for biotechnological potential and ballistospores-shooting

description: Additional file 5. GO categories of 4057 genes resulted from genome analysis.
DOI: 10.6084/m9.figshare.663619
title: Gaussian Job Archive for C5H15N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.731688
title: Gaussian Job Archive for C10H13NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.18462/iir.icr.2023.0367
title: Integration of high-temperature heat pumps in Swiss food processes.
DOI: 10.6084/m9.figshare.11895915
title: Additional file 24 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 24: Table S11. Primer sequences of selected genes for subcellular localization analysis
DOI: 10.5281/zenodo.7630260
title: Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms - Code and Data

description: This repository contains the code and data for reproducibility of the paper 'Computing Star Discrepancies with Numerical Black-Box<br> Optimization Algorithms'. The following files are included: - TA.zip and DEM.zip: The code used for the TA and DEM algorithms respectively. - experiment_runner: Python file which was used to run the black-box optimization algorithms on the discrepancy problems from IOHexperimenter (requires package 'ioh', version 0.3.6 or higher). This generates data in IOH-format, which is included in 'raw_data.zip' - process_stardicr.R: R script which uses IOHanalyzer to extract the performance from the raw data into csv files for visualization. The resulting csvs are included in 'csv_with_pos' for the final results including the corresponding coordinates and 'csv_perf.zip', which contains the convergence information. - Found_Values: The discrepancy values found by TA and DEM, separated by sampler. - A csv file of the relative performance of each of the optimizers compared to the values found by TA is included in 'final_precision_table.csv' - Plot_StarDiscr: the python notebook used to generate all figures, except figure 3 which was created using the IOHanalyzer GUI (iohanalyzer.liacs.nl). The full dataset is available on the website under the source 'star_discrepancy' - Figures: some additional figures which were not included in the paper because of space constraints + higher quality versions of some of the landscape plots.
DOI: 10.6084/m9.figshare.16614407
title: Additional file 1 of An evidence mapping of systematic reviews and meta-analysis on traditional Chinese medicine for ulcerative colitis

description: Additional file 1.
DOI: 10.6084/m9.figshare.11895816
title: Additional file 6 of Whole genome sequencing and comparative genomic analysis of oleaginous red yeast Sporobolomyces pararoseus NGR identifies candidate genes for biotechnological potential and ballistospores-shooting

description: Additional file 6. Mini-satellite DNA annotation file of NGR.
DOI: 10.6084/m9.figshare.11895810.v1
title: Additional file 5 of Whole genome sequencing and comparative genomic analysis of oleaginous red yeast Sporobolomyces pararoseus NGR identifies candidate genes for biotechnological potential and ballistospores-shooting

description: Additional file 5. GO categories of 4057 genes resulted from genome analysis.
DOI: 10.6084/m9.figshare.16614518
title: Additional file 7 of Comprehensive analysis of lysine crotonylation modification in patients with chronic renal failure

description: Additional file 7: Table S7. Protein domain enrichment analysis of crotonylated proteins.
DOI: 10.6084/m9.figshare.11895861.v1
title: Additional file 15 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 15: Table S2. Identified bHLH genes in the AA genome of B. napus and their molecular characteristic
DOI: 10.6084/m9.figshare.11895900
title: Additional file 22 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 22: Table S9. Original Ct values of selected genes of B. olerecea, B. rapa and B. napus
DOI: 10.6084/m9.figshare.661791
title: Gaussian Job Archive for C4H13N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.11895900.v1
title: Additional file 22 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 22: Table S9. Original Ct values of selected genes of B. olerecea, B. rapa and B. napus
DOI: 10.6084/m9.figshare.661799
title: Gaussian Job Archive for C4H13N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.11895879.v1
title: Additional file 18 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 18: Table S5. Nonsynonymous and synonymous substitution rates of orthologous bHLH genes between B. oleracea and A. thaliana
DOI: 10.6084/m9.figshare.661789
title: Gaussian Job Archive for C3H12O5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.11895927
title: Additional file 26 of Comparative analysis of basic helix–loop–helix gene family among Brassica oleracea, Brassica rapa, and Brassica napus

description: Additional file 26: Table S13. Primers of selected bHLH genes for qRT-PCR in B. rapa
DOI: 10.6084/m9.figshare.674600
title: Gaussian Job Archive for C6H6O4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.21335/nmdc-1871554897
title: Concentrations of total mercury, total methylated mercury, and selected trace elements in the northern Barents Sea as part of the Nansen Legacy project, Cruise 2019711 Q4

description: This dataset includes concentrations of total mercury (THg), total methylated mercury (MeHg), total lead (TPb), total manganese (TMn), and dissolved manganese (DMn) in seawater. Samples were collected in December as part of cruise 2019711, Q4, in the northern Barents Sea as part of the Nansen Legacy project. Concentrations were measured at seven different stations using GOFLO bottles attached sequentially and sampled using trace metal clean techniques. THg, MeHg, TPb, and TMn were collected unfiltered. DMn was filtered through a 0.2µm Sartorius Sartobran filter. Additional samples deeper than 500m were collected at stations P6 and P7 using Niskin bottles attached to a rosette. THg was measured by cold vapor atomic fluorescence spectrometry (CVAFS). MeHg was measured by species-specific isotope dilution gas chromatography sector field inductively coupled plasma mass spectrometry (ID-GC-SF-ICP-MS). TPb, TMn, and DMn were measured by ICP-MS.