cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11796498.v2
title: NEON-GEOSPATIAL-PYTHON-DATASETS.zip

description: This is a slimmed down version of the NEON Spatio-temporal Teaching Data Subset, which is available at https://figshare.com/articles/Spatio_temporal_Series_Teaching_Data_Subsets/2009586 . It's used in the Carpentries Geospatial Python workshop (currently in incubator stage) and removes unused hillshade files and adds WGS84 DTM and DSM files.<br>CONTENTS:NEON-DS-Met-Time-Series.zip: Precipitation, temperature and other variables collected from a flux tower at the NEON Harvard Forest site. NOTE: these data are not collected from the NEON tower.NEON-DS-Site-Layout-Files.zip: A set of shapefiles for the NEON's Harvard Forest field site and US and (some) state boundary layers.NEON-DS-Landsat-NDVI.zip: 2011 NDVI data product provided by USGS cropped to NEON's Harvard Forest and San Joaquin Experimental Range field sites.NEON-DS-Airborne-RemoteSensing.zip: LiDAR data including a canopy height model, digital elevation model and digital surface model for NEON's Harvard Forest and San Joaquin Experimental Range field sites.<br><br>
DOI: 10.6084/m9.figshare.11796468.v1
title: Generic Feature Format "GFF3" for Salminus brasiliensis

description: Generic Feature Format file containing the genomic annotation for S. brasiliensis, from sequences above 10 kb extracted from a larger genomic assembly
DOI: 10.6084/m9.figshare.11796462
title: Raw data and analysis of venom solenopsins paper

description: Raw RData object file containing all numeric raw data and figures behind the manuscript "Venom alkaloids against Chagas disease parasite: search for effective therapies" published by Nature Scientific Reports journal on 06/2020.<br>Objects available as two independent separate files.<br><br>Original R input script can be found at https://gist.github.com/eduardofox2/395a8cbfa741df30c379354b3d50f96a
DOI: 10.6084/m9.figshare.11796462.v1
title: Raw data and analysis of venom solenopsins paper

description: Raw RData object file containing all numeric raw data and figures behind the manuscript "Venom alkaloids against Chagas disease parasite: search for effective therapies" published by Nature Scientific Reports journal on 06/2020.<br>Original R input script can be found at https://gist.github.com/eduardofox2/395a8cbfa741df30c379354b3d50f96a
DOI: 10.17608/k6.auckland.11796378
title: Laser ultrasonics data for Alpine Fault ultramylonite

description: This item contains the raw waveform data for an ultramylonite sample, umv2. Each .npy file contains all the experimental data, including the waveforms (of the trigger channel and data channel) and the angular positions of the rotation stage. Confining pressures for these experiments ranged from 1MPa to 16MPa, as stated in the filename. The data can be opened using the Python NumPy library.<br>Also included are csv files which contain the arrival time picks of the P-wave in each waveform for each pressure.<br>One example experimental configuration file is included as config.json. This describes the experimental setup at 1MPa, and is identical to the config files at other pressures.<br>Finally, the umv2_rp_data.p is a Python pickle dictionary which contains values of important variables for this sample, calculated from the experimental data. These include fast and slow velocities, density, diameter, anisotropy at all pressures, etc.<br>All data viewing of data, plotting, and analysis was performed with the Python PlaceScan package, available at https://github.com/jsimpsonUoA/PlaceScan. All experimental data was acquired with PLACE, the lab automation software (see https://github.com/PALab/place).<br>
DOI: 10.6084/m9.figshare.11796375
title: N- and O-glycopeptide Fragmentation Data

description: Raw files and results from glycoproteomic fragmentation study
DOI: 10.6084/m9.figshare.11796375.v1
title: N- and O-glycopeptide Fragmentation Data

description: Raw files and results from glycoproteomic fragmentation study
DOI: 10.6084/m9.figshare.11796288
title: PDB Validation Reports

description: PDB structure validation reports of the three peptides 6, 14 and KLK14 of the study "Morphing of Amphipathic Helices to Explore the Activity and Selectivity of Antimicrobial Peptides" by Alex Müller et al.
DOI: 10.6084/m9.figshare.11796288.v1
title: PDB Validation Reports

description: PDB structure validation reports of the three peptides 6, 14 and KLK14 of the study "Morphing of Amphipathic Helices to Explore the Activity and Selectivity of Antimicrobial Peptides" by Alex Müller et al.
DOI: 10.6084/m9.figshare.11796198
title: ks_train.csv

description: Solutions of KS equation for random initial conditions. Used to train FiniteNet
DOI: 10.6084/m9.figshare.11796201
title: invBurg_train.npy

description: Solutions of the inviscid Burgers equation for random initial condition. Data used to train FiniteNet.
DOI: 10.6084/m9.figshare.11796186
title: ks_test.npy

description: Solutions of the KS equation for random initial conditions. Used to evaluate FiniteNet performance.
DOI: 10.6084/m9.figshare.11796126
title: Advancing clinical cohort selection with genomics analysis on a distributed platform

description: Raw runtimes for metadata associated with the Advancing clinical cohort selection with genomics analysis on a distributed platform manuscript. Markdown used to generate plots at: https://github.com/OmicsDataAutomation/i2b2-oda-framework/blob/master/genomicsdb/results.Rmd.
DOI: 10.6084/m9.figshare.11796126.v1
title: Advancing clinical cohort selection with genomics analysis on a distributed platform

description: Raw runtimes for metadata associated with the Advancing clinical cohort selection with genomics analysis on a distributed platform manuscript. Markdown used to generate plots at: https://github.com/OmicsDataAutomation/i2b2-oda-framework/blob/master/genomicsdb/results.Rmd.
DOI: 10.6084/m9.figshare.11796114
title: table.xlsx

description: <b>Table-1</b> Properties of soil and geomaterials used for the study
DOI: 10.6084/m9.figshare.11795598
title: Cuestionario - Divulgación de la ciencia en YouTube

description: Cuestionario de divulgación de la ciencia en YouTube.
DOI: 10.6084/m9.figshare.11795598.v2
title: Cuestionario - Divulgación de la ciencia en YouTube

description: Cuestionario de divulgación de la ciencia en YouTube.
DOI: 10.6084/m9.figshare.11795598.v1
title: Cuestionario - Divulgación de la ciencia en YouTube

description: Cuestionario de divulgación de la ciencia en YouTube.
DOI: 10.25380/iastate.11794368
title: Elemental chemical compositions of float glass samples

description: We measured the elemental chemical composition of architectural float glass fragments using inductively coupled mass spectrometry with a laser ablation add-in (LA-ICP-MS). The unit for all measurements is parts per million (ppm).<br><br>Measurements of 18 elemental concentrations were obtained from each fragment at each measurement occasion. These data can be used for statistical analysis with the purpose of evaluating forensic trace evidence. <br>The data collection and measurement process in this database were carefully designed by the authors to enable understanding similarities and differences in elemental composition within a fragment, between fragments within a pane, between panes produced by the same manufacturer, and between manufacturers, to help in forensic glass evaluation. We received 48 panes that were produced on consecutive days, from two glass manufacturers in the U.S. Half of each pane was broken into small fragments and 24 fragments were randomly sampled from each half pane. To compute well-conditioned estimates of high-dimensional covariance matrices at all levels, we replicated measurements on each fragment; for three of the 24 fragments from a pane, we obtained 20 replicate measurements, and for the other 21 fragments, we made five replicate measurements. <br>Because of the design of the sample, the dataset will be a valuable resource for anyone working on methods for estimating and comparing covariance matrices, anyone who is interested in shrinkage methods and anyone who wishes to develop methods for the analyses of multivariate data.
DOI: 10.25380/iastate.11794368.v1
title: Elemental chemical compositions of float glass samples

description: We measured the elemental chemical composition of architectural float glass fragments using inductively coupled mass spectrometry with a laser ablation add-in (LA-ICP-MS). The unit for all measurements is parts per million (ppm).<br><br>Measurements of 18 elemental concentrations were obtained from each fragment at each measurement occasion. These data can be used for statistical analysis with the purpose of evaluating forensic trace evidence. <br>The data collection and measurement process in this database were carefully designed by the authors to enable understanding similarities and differences in elemental composition within a fragment, between fragments within a pane, between panes produced by the same manufacturer, and between manufacturers, to help in forensic glass evaluation. We received 48 panes that were produced on consecutive days, from two glass manufacturers in the U.S. Half of each pane was broken into small fragments and 24 fragments were randomly sampled from each half pane. To compute well-conditioned estimates of high-dimensional covariance matrices at all levels, we replicated measurements on each fragment; for three of the 24 fragments from a pane, we obtained 20 replicate measurements, and for the other 21 fragments, we made five replicate measurements. <br>Because of the design of the sample, the dataset will be a valuable resource for anyone working on methods for estimating and comparing covariance matrices, anyone who is interested in shrinkage methods and anyone who wishes to develop methods for the analyses of multivariate data.
DOI: 10.6084/m9.figshare.11794191
title: Parameter optimization for thermostable lipase production and performance evaluation as prospective detergent additive

description: Lipase based formulations has been a rising interest to laundry detergent industry for their eco-friendly property over phosphate-based counterparts and compatibility with chemical detergents ingredients. A thermo-stable <i>Anoxybacillus</i> sp. ARS-1 isolated from Taptapani Hotspring, India was characterized for optimum lipase production employing statistical model central composite design (CCD) under four independent variables (temperature, pH, % moisture and bio-surfactant) by solid substrate fermentation (SSF) using mustard cake. The output was utilized to find the effect of parameters and their interaction employing response surface methodology (RSM). A quadratic regression with <i>R</i><sup>2</sup> = 0.955 established the model to be statically best fitting and a predicted highest lipase production of 29.4 IU/g at an optimum temperature of 57.5 °C, pH 8.31, moisture 50% and 1.2 mg of bio-surfactant. Experimental production of 30.3 IU/g lipase at above conditions validated the fitness of model. <i>Anoxybacillus sp.</i> ARS-1 produced lipase was found to resist almost all chemical detergents as well as common laundry detergent, proving it to be a prospective additive for incorporation.
DOI: 10.6084/m9.figshare.11794191.v1
title: Parameter optimization for thermostable lipase production and performance evaluation as prospective detergent additive

description: Lipase based formulations has been a rising interest to laundry detergent industry for their eco-friendly property over phosphate-based counterparts and compatibility with chemical detergents ingredients. A thermo-stable <i>Anoxybacillus</i> sp. ARS-1 isolated from Taptapani Hotspring, India was characterized for optimum lipase production employing statistical model central composite design (CCD) under four independent variables (temperature, pH, % moisture and bio-surfactant) by solid substrate fermentation (SSF) using mustard cake. The output was utilized to find the effect of parameters and their interaction employing response surface methodology (RSM). A quadratic regression with <i>R</i><sup>2</sup> = 0.955 established the model to be statically best fitting and a predicted highest lipase production of 29.4 IU/g at an optimum temperature of 57.5 °C, pH 8.31, moisture 50% and 1.2 mg of bio-surfactant. Experimental production of 30.3 IU/g lipase at above conditions validated the fitness of model. <i>Anoxybacillus sp.</i> ARS-1 produced lipase was found to resist almost all chemical detergents as well as common laundry detergent, proving it to be a prospective additive for incorporation.
DOI: 10.6084/m9.figshare.11794173
title: A proof-of-concept study of the benefits of a single-session of tinnitus instruction and counselling with homework on tinnitus

description: <b>Objective:</b> The objective of this study was to provide proof-of-concept of a single session of tinnitus instruction and counselling with and without homework. <b>Design:</b> A mixed-method design using questionnaires and thematic evaluation of qualitative data was implemented. <b>Study sample</b>: Sixteen participants received instruction in a single, one-to-one counselling session; eight participants additionally undertook homework consisting of either positive visualisation augmented by sound or a workbook of written and drawing activities supporting the instruction provided in the counselling session. All participants completed questionnaires just before and 3 weeks after the intervention, half were interviewed 3 weeks following the intervention. <b>Results:</b> Average tinnitus functional index (TFI) scores were 45 (SD 25) before and 29 (SD 23) following counselling, with a change of 4.8 or greater recorded in 75% and change of 13 points or greater in 50% of participants. Both counselling and counselling with homework showed similar changes in the TFI. This finding was supported by the qualitative analysis from which a model consisting of the themes of counselling benefit, content, application and homework benefit was derived. <b>Conclusions:</b> This study provides proof-of-concept of a single tinnitus instruction and counselling session, based on an ecological model of tinnitus.
DOI: 10.6084/m9.figshare.11794173.v2
title: A proof-of-concept study of the benefits of a single-session of tinnitus instruction and counselling with homework on tinnitus

description: <b>Objective:</b> The objective of this study was to provide proof-of-concept of a single session of tinnitus instruction and counselling with and without homework. <b>Design:</b> A mixed-method design using questionnaires and thematic evaluation of qualitative data was implemented. <b>Study sample</b>: Sixteen participants received instruction in a single, one-to-one counselling session; eight participants additionally undertook homework consisting of either positive visualisation augmented by sound or a workbook of written and drawing activities supporting the instruction provided in the counselling session. All participants completed questionnaires just before and 3 weeks after the intervention, half were interviewed 3 weeks following the intervention. <b>Results:</b> Average tinnitus functional index (TFI) scores were 45 (SD 25) before and 29 (SD 23) following counselling, with a change of 4.8 or greater recorded in 75% and change of 13 points or greater in 50% of participants. Both counselling and counselling with homework showed similar changes in the TFI. This finding was supported by the qualitative analysis from which a model consisting of the themes of counselling benefit, content, application and homework benefit was derived. <b>Conclusions:</b> This study provides proof-of-concept of a single tinnitus instruction and counselling session, based on an ecological model of tinnitus.
DOI: 10.6084/m9.figshare.11794011
title: Metadata record for: Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease

description: This dataset contains key characteristics about the data described in the Data Descriptor Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format<br><br>Versioning Note:A revised version was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11794011.v1
title: Metadata record for: Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease

description: This dataset contains key characteristics about the data described in the Data Descriptor Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format<br><br>Versioning Note:A revised version was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11793957
title: Appendix to CRUS 3968

description: The data show the exact dive site positions and dates. These data are not free for use in publications or reports without permission from the corresponding author. For questions or comments regarding data, please contact V. Øresland (vidar.oresland@diversandscientists.se)
DOI: 10.17028/rd.lboro.11793948
title: Additive Manufacturing of Highly Elastic Nanoclay-crosslinked Hydrogel with Self-healing Abilities

description: Data used for the publication "Additive Manufacturing of Highly Elastic Nanoclay-crosslinked Hydrogel with Self-healing Abilities". Files are in .opj format and can be accessed using OriginLab.<br><br><b>This data includes:</b><br><b>Rheological data</b> - effect of hydrogel composition and on aging time.<br><b>Tensile data</b> - effect of different printing parameters and aging time.<br><b>Compression data</b> - effect of different printing parameters and aging time.
DOI: 10.6084/m9.figshare.11793957.v1
title: Appendix to CRUS 3968

description: The data show the exact dive site positions and dates. These data are not free for use in publications or reports without permission from the corresponding author. For questions or comments regarding data, please contact V. Øresland (vidar.oresland@diversandscientists.se)
DOI: 10.17028/rd.lboro.11793948.v1
title: Additive Manufacturing of Highly Elastic Nanoclay-crosslinked Hydrogel with Self-healing Abilities

description: Data used for the publication "Additive Manufacturing of Highly Elastic Nanoclay-crosslinked Hydrogel with Self-healing Abilities". Files are in .opj format and can be accessed using OriginLab.<br><br><b>This data includes:</b><br><b>Rheological data</b> - effect of hydrogel composition and on aging time.<br><b>Tensile data</b> - effect of different printing parameters and aging time.<br><b>Compression data</b> - effect of different printing parameters and aging time.
DOI: 10.6084/m9.figshare.11793933
title: 245FS_files

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793945
title: bigwig files for meRIP Illumina sequencing

description: meRIP-seq data aligned to hg19 and Ad5 virus. All samples are seperated by coverage going to the forward and reverse strand.<br>RNA-seq data is also aligned to hg19 and the Ad5 virus simultaneously. <br>All bigwig show the raw coverage without any normalization.
DOI: 10.6084/m9.figshare.11793894
title: K23-9_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793894.v1
title: K23-9_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793933.v1
title: 245FS_files

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793945.v1
title: bigwig files for meRIP Illumina sequencing

description: meRIP-seq data aligned to hg19 and Ad5 virus. All samples are seperated by coverage going to the forward and reverse strand.
DOI: 10.6084/m9.figshare.11793945.v2
title: bigwig files for meRIP Illumina sequencing

description: meRIP-seq data aligned to hg19 and Ad5 virus. All samples are seperated by coverage going to the forward and reverse strand.<br>RNA-seq data is also aligned to hg19 and the Ad5 virus simultaneously. <br>All bigwig show the raw coverage without any normalization.
DOI: 10.6084/m9.figshare.11793945.v3
title: bigwig files for meRIP Illumina sequencing

description: meRIP-seq data aligned to hg19 and Ad5 virus. All samples are seperated by coverage going to the forward and reverse strand.<br>RNA-seq data is also aligned to hg19 and the Ad5 virus simultaneously. <br>All bigwig show the raw coverage without any normalization.
DOI: 10.6084/m9.figshare.11793876
title: Data journal citation and readership trajectories

description: Figures and data from the paper, "Data in Brief: Can a Mega-Journal for Data be Useful?"
DOI: 10.6084/m9.figshare.11793861
title: K13-3_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793858
title: K30-4_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793861.v1
title: K13-3_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793849
title: K23-6_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793855
title: K23-8_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793858.v1
title: K30-4_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793846
title: K22-8_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793855.v1
title: K23-8_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793816
title: Metadata record for: China CO2 emission accounts 2016-2017

description: This dataset contains key characteristics about the data described in the Data Descriptor China CO2 emission accounts 2016-2017. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11793846.v1
title: K22-8_FS_R1.fastq.gz.gpg

description: mFAST-SeqS data
DOI: 10.6084/m9.figshare.11793801
title: HiD_GenomeBiology2020_RawData

description: Raw microscopy data used throughtout the manuscript.