cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gzfbzfgk79.1
title: Structural coding, assisted by numerical and causal attributes, of a literature corpus

description: These data sets are the categorization of a literature corpus studied for our article on power modeling and measurement methods for servers. The data set clustering is done based on our method presented in 'PAD: a graphical and numerical enhancement of structural coding to facilitate thematic analysis of a literature corpus' that show how a literature corpus can be systematically organized, based on each individual study's addressed problem(s), taken approach(es), and derived outcome(s). These data sets give a quick overview to the researchers working in the direction of server power modeling and help them identify the least or most studied problems, approaches, and outcomes in this domain, as well as the problem -> approach and problem->approach->outcome(developments) trajectories.
DOI: 10.17632/483vh8mdrv.5
title: Effects of the transition from dry forest to pasture on bacterial communities and chemical properties in soils in Northeastern Brazil

description: "Soil Chemistry and Enzymes" is a dataset captured from soils from the 0-10 cm layer of pastures and forests of three municipalities located in the Microregion of Garanhuns, Pernambuco state (Northeast Brazil): Brejão (8°59'39.95"S; 36°32'22.69" W), Garanhuns (8°58'27.25"S; 36°27'8.12"W) and São João (8°48'35.77"S; 36°24'25.19"W). This study evaluated the transition from dry forest (FO) to pastures in a varied productive state, one with less activity (PA) and another more productive (PB). This pasture state was defined based on the Normalized Difference Vegetation Index (NDVI), calculated from images from the Multispectral and Panchromatic Wide-Scan Camera (WPM) of the CBERS 4A satellite (L4) (INPE - Brazil). The "CBERS_4A_WPM_BAND0-4" files represent the cropped images for the study area. Chemical and enzymatic characteristics of the soils are noted in the "Soil Chemistry and Enzymes.xlsx" file. The raw gene sequences from the 16S rRNA gene library (bacteria) were also made available in the "16S_rRNA.rar" file. The library was constructed from genomic DNA extracted from the 0-10 cm soil layer and sequencing was performed on the Illumina MiSeq platform (300 bp paired-end).
DOI: 10.17632/hgkb4hh5r5.1
title: Positive correlations between social hierarchy and memory in mice and young children

description: Positive correlations between social hierarchy and memory in mice and young children
DOI: 10.17632/cv24vxzck9.1
title: Effects of ultra-high pressure treatment on ACE inhibitory activity, antioxidant activity, and physicochemical properties of milk fermented with Lactobacillus delbrueckii QS306

description: Orthogonal Experiment
On the basis of single-factor tests, optimal pressure, treatment time, and sample fermentation duration of ACEI activity of UHP fermented milk (UHPFM) were selected for an orthogonal test. An L9 (34) orthogonal table was selected for experimental design, with optimal process parameters for UHP fermentation of milk determined through use of ACEI activity as the evaluation index. The factor levels are displayed in Supplemental Table S1.

Effect of UHP on ACE Inhibitory Activity in Fermented Milk
Based on the single-factor testing for pressure, duration of pressurization, and duration of fermentation for UHP treatment, an optimal orthogonal level was determined from ACEI activity, namely treatment pressure of 400 MPa, pressurization for 10 min, and fermentation for 60 h. The test results and variance analysis are displayed in Supplemental Table S2.
DOI: 10.17632/s484dv6dh8.1
title: Andaman Microplastics

description: Microplastics found in weekly surface zooplankton tows conducted in the Lohabarrack salt water Crocodile Sanctuary, South Andaman Island, India. Type categories include marine coating fragments, fibres and miscellaneous plastic debris. File contains 'read me' and 'raw data' sheets.
DOI: 10.17632/4jbxwkk5p2.1
title: Evaluation of an integrative Bayesian peptide detection approach on a combinatorial peptide library (Supplementary data)

description: The dataset contains source data for the analyses performed in the article "Evaluation of an integrative Bayesian peptide detection approach on a combinatorial peptide library". For a detailed description, read the document "Supplementary-material.pdf" in the "Metadata" folder.
DOI: 10.17632/yzvf8kp8xr.1
title: Data for: Influence of Zinc Content and Grain Size on Enhanced Thermoelectric Performance of Optimally Doped ZnSb

description: Thermoelectric data of doped ZnSb with excess Zn and different grain size
DOI: 10.15468/5q55vb
title: On the taxonomy and distribution of the orb-weaving spider Philoponella feroka (Bradoo, 1979) n. comb. from India (Araneae, Uloboridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Babu, Nishi, Caleb, John T. D., Jani, Maitry, Uma, Divya, Prasad, G. (2022): On the taxonomy and distribution of the orb-weaving spider Philoponella feroka (Bradoo, 1979) n. comb. from India (Araneae, Uloboridae). Zootaxa 5087 (3): 497-500, DOI: https://doi.org/10.11646/zootaxa.5087.3.8
DOI: 10.6084/m9.figshare.17994365.v1
title: Appendix S2.xlsx

description: Seasonal patterns in soil microbial biomass and their associations with plant gross primary productivity with 335 sequences from nine types of biomes in the world<br>
DOI: 10.6084/m9.figshare.17994365
title: Appendix S2.xlsx

description: Seasonal patterns in soil microbial biomass and their associations with plant gross primary productivity with 335 sequences from nine types of biomes in the world<br>
DOI: 10.48758/ufz.5467
title: Geocoded asset master data of on-shore wind power- , photovoltaic field systems , bioenergy- and river hydro power plants in Germany until 2015 

description: Information of renewable energy plants, particular their spatial distribution and key parameters like installed capacity, total size and required space are more and more important for public decision makers and scientific domains like energy system analysis and impact assessment. This holds true particular for the ongoing expansion of renewable energy technologies. This data set is covering the following attributes:

Renewable Energy Technology
Year		--	Year of commissioning
Power_kW	--	Installed plant power (nominal capacity) in kilowatt
Source		--	Type of energy source (bioenergy plants)
Area_sqm	--	Area size of open-field photovoltaic (operating area) in square meters
Hub_m		--	Hub height in meters (wind turbines)
Dia_m		--	Diameter of the rotor in meters (wind turbines)
X_coord		--	Easting value (ETRS 1989)
Y_coord		--	Northing value	(ETRS 1989)
PS		--	Information whether data has been edited or has an implausible performance

of wind turbines, photovoltaic field systems, bioenergy plants and river hydro power plants. The data have been individually collected, reworked, and merged. The data is provided as individual geo-data sets in shape-format (shp).
DOI: 10.6084/m9.figshare.17994653
title: PONE-D-21-33350-Supporting Information data.xlsx

description: Raw data extracted from postprocessing file of simulations.
DOI: 10.6084/m9.figshare.17994653.v1
title: PONE-D-21-33350-Supporting Information data.xlsx

description: Raw data extracted from postprocessing file of simulations.
DOI: 10.11588/data/n07hkc/w90ely
title: pretrained_models.tar.gz
DOI: 10.6084/m9.figshare.17712086.v1
title: Date_watertank

description: observed conductivities and water level
DOI: 10.6084/m9.figshare.17712086
title: Data_watertank

description: observed conductivities and water level
DOI: 10.6084/m9.figshare.17712086.v3
title: Data_watertank

description: observed conductivities and water level
DOI: 10.6084/m9.figshare.17712086.v2
title: Data_watertank

description: observed conductivities and water level
DOI: 10.34740/kaggle/dsv/3014920
title: AutoXGB
DOI: 10.6084/m9.figshare.17708633
title: Environmental covariates

description: This dataset contains the original environmental covariates (in ASCII format) of the scalloped hammerhead in four seasons (spring, summer, autumn, and winter). A metadata file (README.txt) was given to explain the name of each ascii file.
DOI: 10.6084/m9.figshare.17708633.v1
title: Environmental covariates

description: This dataset contains the original environmental covariates (in ASCII format) of the scalloped hammerhead in four seasons (spring, summer, autumn, and winter). A metadata file (README.txt) was given to explain the name of each ascii file.
DOI: 10.5281/zenodo.5826319
title: Data for Structure of Energy Precipitation Induced by Superbolt-Lightning Generated Whistler Waves

description: This is the dataset for the publication <strong>Structure of Energy Precipitation Induced by Superbolt-Lightning Generated Whistler Waves. </strong>Detailed instruction attached within.
DOI: 10.5281/zenodo.5826318
title: Data for Structure of Energy Precipitation Induced by Superbolt-Lightning Generated Whistler Waves

description: This is the dataset for the publication <strong>Structure of Energy Precipitation Induced by Superbolt-Lightning Generated Whistler Waves. </strong>Detailed instruction attached within.
DOI: 10.21227/tj9k-nm15
title: Dielectric spectroscopies of 6 epoxy/anhydride systems 

description: The dielectric spectroscopy data was obtained to characterize the dielectric responses and calculate the dielectric loss in the FEM model. The complex dielectric permittivity was measured with the Novocontrol Concept 80 broadband dielectric spectrometer. Silver electrode with a diameter of 30 mm was prepared on both sides of the sample by sputtering. The temperature range in this experiment was from -30 to 150 °C with an interval of 10 °C. The frequency range was from 1 Hz to 1 MHz. Bisphenol A diglycidyl ether (DGEBA, Shanghai XRUN resin co. ltd.) was chosen as the based resin with its epoxy value of about 0.53. Phthalic anhydride (PA), tetrahydrophthalic anhydride (THPA), methyltetrahydrophthalic anhydride (MeTHPA), hexahydrophthalic anhydride (HHPA), methyl hexahydrophthalic anhydride (MeHHPA), and methyl nadic anhydride (MeNA) were chosen as the anhydride hardener. Benzyldimethylamine(BDMA) was selected as the accelerator. The equivalence ratio of epoxy and anhydride is 1:1.
DOI: 10.34740/kaggle/dsv/3014917
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.5789528
title: Data plotted in Figures in O'Connor et al. paper on methane forcing, including plotting scripts

description: The datasets included here are of the plotted data from the figures of the paper entitled "Apportionment of the Pre-Industrial to Present-Day Climate Forcing by Methane using UKESM1" submitted for publication to J. Adv. Modeling Earth Sys as csv files. Scripts used for plotting also included.
DOI: 10.5281/zenodo.5789527
title: Data plotted in Figures in O'Connor et al. paper on methane forcing, including plotting scripts

description: The datasets included here are of the plotted data from the figures of the paper entitled "Apportionment of the Pre-Industrial to Present-Day Climate Forcing by Methane using UKESM1" submitted for publication to J. Adv. Modeling Earth Sys as csv files. Scripts used for plotting also included.
DOI: 10.25375/uct.14973897
title: Using sulfide-enriched fine coal waste as soil ameliorant for calcareous and alkaline soils

description: This data explores the locations of potential markets for sulfide-enriched coal waste as well as how much might be applied on soil for amelioration. This then placed me in a position to estimate the transport costs for the material from their source coal mines to destination regions. The ability of farmland to absorb the entire stream was considered as well as a first attempt at environmental costing using a carbon footprinting calculation.
DOI: 10.25375/uct.14973897.v1
title: Using sulfide-enriched fine coal waste as soil ameliorant for calcareous and alkaline soils

description: This data explores the locations of potential markets for sulfide-enriched coal waste as well as how much might be applied on soil for amelioration. This then placed me in a position to estimate the transport costs for the material from their source coal mines to destination regions. The ability of farmland to absorb the entire stream was considered as well as a first attempt at environmental costing using a carbon footprinting calculation.
DOI: 10.34740/kaggle/dsv/3015040
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5758728
title: Data published in manuscript "Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO2 and CH4" by Castro-Morales et al.

description: This data is published in the manuscript<strong>:</strong> Castro-Morales, K., Canning, A., Körtzinger, A., Göckede, M., Küsel, K., et al. (2022). Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO<sub>2</sub> and CH<sub>4</sub>. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006485. https://doi.org/10.1029/2021JG006485. The data contains the water properties and gases data measured at a site in Ambolikha River, meteorological data measured at an eddy covariance tower located in the neighbor floodplain, and data from the analysis of dissolved organic matter in river water samples. The data was collected between 26 June, 2019 and 02 August, 2019.<strong> </strong> This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_Ambolikha_River.txt" should be read before accessing the data. The authors recommend downloading Version 2.0 because it is the most up to date data. For questions contact the main and corresponding author Dr. Karel Castro-Morales at: karel.castro.morales@uni-jena.de
DOI: 10.5281/zenodo.5592142
title: Data published in manuscript "Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO2 and CH4" by Castro-Morales et al.

description: This data is published in the manuscript<strong>:</strong> Castro-Morales, K., Canning, A., Körtzinger, A., Göckede, M., Küsel, K., et al. (2022). Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO<sub>2</sub> and CH<sub>4</sub>. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006485. https://doi.org/10.1029/2021JG006485. The data contains the water properties and gases data measured at a site in Ambolikha River, meteorological data measured at an eddy covariance tower located in the neighbor floodplain, and data from the analysis of dissolved organic matter in river water samples. The data was collected between 26 June, 2019 and 02 August, 2019.<strong> </strong> This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_Ambolikha_River.txt" should be read before accessing the data. The authors recommend downloading Version 2.0 because it is the most up to date data. For questions contact the main and corresponding author Dr. Karel Castro-Morales at: karel.castro.morales@uni-jena.de
DOI: 10.18112/openneuro.ds003975.v1.0.0
title: Structural, diffusion and rs-functional MRI data in Macaque Monkeys
DOI: 10.17028/rd.lboro.18000785
title: Supplementary information files for Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies

description: Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%, presenting a challenge in determining whether surgery is worthwhile. In this study, the data of 132 fasciotomies for CECS was analysed and using combinatorial feature selection methods, coupled with input from clinicians, identified a set of key clinical features contributing to the occupational outcomes of surgery. Features were utilised to develop a machine learning model for predicting return-to-work outcomes 12-months post-surgery. An AUC of 0.85 ± 0.08 was achieved using a linear-SVM, trained using 6 features (height, mean arterial pressure, pre-surgical score on the exercise-induced leg pain questionnaire, time from initial presentation to surgery, and whether a patient had received a prior surgery for CECS). To facilitate trust and transparency, interrogation strategies were used to identify reasons why certain patients were misclassified, using instance hardness measures. Supplementary files for Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.<br>Model interrogation revealed that patient difficulty was associated with an overlap in the clinical characteristics of surgical outcomes, which was best handled by XGBoost and SVM-based models. The methodology was compiled into a machine learning framework, termed AITIA, which can be applied to other clinical problems. AITIA extends the typical machine learning pipeline, integrating the proposed interrogation strategy, allowing to user to reason and decide whether to trust the developed model based on the sensibility of its decision-making.
DOI: 10.17028/rd.lboro.18000785.v1
title: Supplementary information files for Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies

description: Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%, presenting a challenge in determining whether surgery is worthwhile. In this study, the data of 132 fasciotomies for CECS was analysed and using combinatorial feature selection methods, coupled with input from clinicians, identified a set of key clinical features contributing to the occupational outcomes of surgery. Features were utilised to develop a machine learning model for predicting return-to-work outcomes 12-months post-surgery. An AUC of 0.85 ± 0.08 was achieved using a linear-SVM, trained using 6 features (height, mean arterial pressure, pre-surgical score on the exercise-induced leg pain questionnaire, time from initial presentation to surgery, and whether a patient had received a prior surgery for CECS). To facilitate trust and transparency, interrogation strategies were used to identify reasons why certain patients were misclassified, using instance hardness measures. Supplementary files for Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.<br>Model interrogation revealed that patient difficulty was associated with an overlap in the clinical characteristics of surgical outcomes, which was best handled by XGBoost and SVM-based models. The methodology was compiled into a machine learning framework, termed AITIA, which can be applied to other clinical problems. AITIA extends the typical machine learning pipeline, integrating the proposed interrogation strategy, allowing to user to reason and decide whether to trust the developed model based on the sensibility of its decision-making.
DOI: 10.18112/openneuro.ds003974.v1.0.0
title: The Reading Brain Project L1 Adults
DOI: 10.5281/zenodo.5816976
title: PharMeBINet

description: PharMeBINet Neo4j database for https://pharmebi.net
DOI: 10.6084/m9.figshare.17879543
title: Peptide mucus_MSMS.zip

description: We attached a raw data files - in text format of the MS/MS spectrum of the peptide [M+H]<sup>+</sup> at m/z 1039.5 Da (PEPTIDE_mucus_spectrum_MSMS_1039.5) and data files in pkt and mgf format (PEPTIDE_mucus_spectrum_MSMS_1039.5.pkt and PEPTIDE_spectrum_MSMS_1039.5.mgf), which are available. The interpretation of the MS/MS spectrum was performed manually and was confirmed by de novo sequencing of a software platform PEAKS Studio 10.6 from Bioinformatics Solutions, Inc. We also applied files from analysis by the program: PEPTIDE_mucus_Peaks_studio_MSMS_1039.5.mgf.1.1.1.dta; PEPTIDE_MUCUS_Peaks studio_MSMS_1039.5.pkl; PEPTIDE_MUCUS_Peaks studio_MSMS_1039.5 and Image_PeaksStudio_PEPTIDE MUCUS_MSMS 1039.5.
DOI: 10.15468/dl.r3y8j7
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Berberis nummularia"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012248-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euht5j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon nlemfuensis",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012251-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68fyk7
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Halostachys caspica"
 ]
}

 The dataset includes 145 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012249-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95k4b9
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon nlemfuensis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 179 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012250-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqghvh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynodon nlemfuensis",
 "Country is Benin",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012252-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqjmfz
title: Occurrence Download

description: A dataset containing 4259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argentina anserina groenlandica"
 ]
}

 The dataset includes 4259 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012253-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6kc5y
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stichonodon insignis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012254-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.