cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jjpbttv227
title: Data on CDS spreads and ESG scores of US companies

description: The dataset contains: 
- the first differences of logarithms of CDS spreads and the first differences of ESG scores of US companies from 2016 to 2023; 
- Refinitiv Instrument Codes and OrgIDs that were used to download CDS spreads and ESG scores from the Refinitiv Eikon database.
DOI: 10.17632/vx4jy7wyvd
title: Hydroponic Thai Basil Growth

description: The dataset consists of key environmental and physiological parameters influencing plant growth. This includes temperature, humidity, solar radiation, pH, total dissolved solids (TDS), leaves green area, and plant height. These features were collected across 24 recorded instances from January 2, 2025, to February 3, 2025. The data was preprocessed to remove inconsistencies and normalize values to ensure model stability and robustness.
The dataset includes two sets of Thai Basil images for 24 instances. It also includes csv data for features.
DOI: 10.6084/m9.figshare.22285816.v1
title: FDHI data

description: CSV file containing the displacement measurements from the Fault Displacement Hazard Initiative (FDHI) database. The data can be accessed from the appendix of the FDHI database.
DOI: 10.6084/m9.figshare.28785893.v1
title: Digital Transformation Survey

description: A survey for examining Industry 4.0, Lean, and Digital Transformation
DOI: 10.17632/98h3bvscvb
title: Data Tables Emproto et al. (Fluid-Mineral Ti Isotope Fractionation)

description: Data for the manuscript "Fluid-Mineral Titanium Isotope Fractionation: Computational and Empirical Results with Implications for Mineral Deposits".
Authors: C. Emproto, R. Mathur, M. Sun, A. Simon, and L. Godfrey
DOI: 10.17632/dsmx9wdw7w
title: The Dataset of "The Implication of Co-Branding Strategy and Maximizing Brand Prestige's Role in The Food and Beverage Industry"

description: Co-branding is a growing strategy high-end food and beverage businesses use to enter new markets. Based on signaling theory, this study aims to identify the customer response to the implications of co-brand strategy and brand prestige on perceived quality and purchase choice. This research takes a quantitative approach, gathering a sample of 116 respondents of Starbucks Ready to Drink’s consumers using a non- probability sampling strategy. SmartPLS was used to analyze the data.
DOI: 10.17632/gv85swpdcy
title: Experimental transformation of nontronite to kaolinite: implication for ferrallitization of Fe/Mg-rich clays in compositional stratigraphy on Mars

description: The present study experimentally modeled transformation of nontronite to kaolinite in the acidic solution.
DOI: 10.17632/tspycdy2rm
title: Kinetic data from different acetoacetyl-CoA reductases

description: These folders contain experimental records, calculation datasheets and scripts to simulate or find best-fitted kinetic parameters from certain enzymatically catalyzed reactions. These reactions were catalyzed by four engineered enzymes derived from the acetoacetyl-CoA reductase encoded by the phaB1 gene from Cupriavidus necator. The DNA and amino acid sequences of these enzymes are provided. It is also provided the DNA sequence map of the vector where the amino acid encoding sequences for these engineered enzymes were inserted. Inside the folder named "kinetic data" it is also possible to find a TXT file with a detailed description of the content. The experimental conditions of the enzymatic assays is carefully explained. Briefly, this folder contains (1) the raw experimental data recorded with the software Gen 5 (Biotek). (2) It is also possible to find Microsoft Excel datasheets with the records of raw absorbance in time together with initial substrates, initial enzyme and product concentrations in time (reaction progress curves). Most of these progress curves were analyzed with the software DYNAFIT (Biokin) to obtain the kinetic parameters. The progress curves highlighted in red in the Microsoft Excel files were not considered for the statistical analysis due to experimental errors. The progress curves highlighted in yellow in the Microsoft Excel files were considered after the elimination of some outlier points. (3) Scripts enabling two kind of statistical analyses with DYNAFIT were included: scripts to make model discrimination analyses of the different reaction progress curves obtained in every single experiment, and scripts to calculate the confidence intervals for the kinetic parameters using a Monte Carlo approach. We included the scripting manual of DYNAFIT to understand the synthaxis of these scripts .(4) It is included two MATLAB scripts to make a comparison between the kinetic parameters obtained using the Michaelis-Menten model and the true kinetic parameters of a BiBi reversible reaction. (5) Finally, we included DYNAFIT, MATLAB and Microsoft Excel files enabling the calculation of the relative use of NADH over NADPH by one of the engineered enzymes, and also to calculate the metabolic flux capacity of this enzyme.
DOI: 10.17632/328zjkn4fh
title: High-throughput mechano-cytometry as a method to detect apoptosis, necroptosis, and ferroptosis

description: Here the datasets used to write the work titled: 'High-throughput mechano-cytometry as a method to detect apoptosis, necroptosis, and ferroptosis', is presented.
DOI: 10.17632/368z8jmxwh
title: Data for: Performance Impacts of Structure and Volition in Implementing Policy through IT-Enabled Government-Citizen and Government-Employee Interactions

description: Crisp-set QCA data of US states in 2004 and 2005 for internal and external IT-enabled interaction types.
DOI: 10.17632/4342867j9g
title: Dataset of a numerical model of a cold-formed, C-shaped section in compression according to EN 1993-1-14

description: This dataset contains all data from the Data in Brief article: D. Ungermann, T. Lemański, B. Brune "Dataset of a numerical model of a cold-formed, C-shaped section in compression according to EN 1993-1-14".
It contains ANSYS input files and Excel files with the data from experimental tests and numerical simulations.
DOI: 10.17632/gnmbrzkshp
title: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models - Chapter 4 - dataset - Machine Learning Models Applied to Biomedical Engineering 

description: “Machine Learning (ML)” is a subset of “AI” that evolved from the study of “pattern recognition and computational learning theory.” “ML” has seven specific steps to follow to achieve its goal of obtaining a valid model for prediction. The “ML Model” to select to find the solution depends on the type of ML problem; generally, this can be “unsupervised learning,” “supervised learning,” “reinforcement learning,” “survival models,” “association rules,” and others. Please read this chapter at science direct: https://www.sciencedirect.com/science/article/pii/B9780128207185000027 or buy the book or eBook at https://www.elsevier.com/books/applied-biomedical-engineering-using-artificial-intelligence-and-cognitive-models/garza-ulloa/978-0-12-820718-5.
This data set is organized in 3 folders: Matlab_ML (ML using Matlab), SPSS_MODELER (ML using IBM Watson SPSS Modeler) and Watson_ML (ML using IBM Machine Learning Models) 
Section 4.12.2.1 Research 4.1 Tutorial IBM Watson SPSS Modeler Flow for “ML Model for Diabetes” (Folder SPSS_MODELER > SPSS_Clusters)
Section 4.12.2.2 Research tutorial 4.2 IBM Watson SPSS Modeler Flow for “Heart disease ML model and deployment” (folder SPSS_MODELER > SPSS_Classifier)
Section 4.12.2.3 Research tutorial 4.3 IBM Watson SPSS Modeler Flow for “Kidney disease ML Auto Classifiers Models and deploy the best model” (folder SPSS_MODELER > SPSS_AutoClassifier)
Section 4.12.2.4 Research tutorial 4.4 IBM Watson AutoAI experimenter for “Breast cancer ML model and deploy the best model” (folder Watson_ML)
Section 4.12.2.5 Research tutorial 4.5 MATLAB: Statistics and Machine Learning Toolbox for a “Diabetes dataset AI modeling for Classifier Model and a Regression Model” (folder Matlab_ML)
DOI: 10.17632/tzh3fmz58g
title: Doctoral thesis [Studies on Mesozoic magmatism and low temperature thermochronology of the intracontinental South China Block]

description: Supplementary data for doctoral thesis
DOI: 10.17632/w6yskg3ffy
title: Hornet 7: Network Dataset of Geographically Placed Honeypots

description: Hornet 7 is a dataset of seven days of network traffic attacks captured in cloud servers used as honeypots to help understand how geography may impact the inflow of network attacks. The honeypots were placed in eight different geographical locations: Amsterdam, London, Frankfurt, San Francisco, New York, Singapore, Toronto, Bangalore. The data was captured in April 2021. The eight cloud servers were created and configured simultaneously following identical instructions. The network capture was performed using the Argus network monitoring tool in each cloud server. The cloud servers had only one service running (SSH on a non-standard port) and was fully dedicated to be used as a honeypot. No honeypot software was used in this dataset. The dataset consists of eight scenarios, one for each geographically located cloud server. Each scenario contains bidirectional NetFlow files in the following format: - hornet7-biargus.tar.gz: all scenarios with bidirectional NetFlow files in Argus binary format; - hornet7-netflow-v5.tar.gz: all scenarios with bidirectional NetFlow v5 files in CSV format; - hornet7-netflow-extended.tar.gz: all scenarios with bidirectional NetFlows files in CSV format containing all features provided by Argus. - hornet7-full.tar.gz: download all the data (biargus, netflow v5 and extended netflows)
DOI: 10.6084/m9.figshare.6429443.v1
title: Gender-specific preference in online dating

description: This web page contains the dataset for the paper “Gender-specific preference in online dating” by Xixian Su and Haibo Hu. Please see the word document README.doc for detailed data description.
DOI: 10.17632/v5p322m2t8
title: DATACOR Dataset V2

description: Dataset used in the article "Discerning Efficient Corrosion Inhibitors for Aluminum Alloys with Machine Learning". Corrosion inhibitor efficiencies for aluminium alloys 2024 and 7075, at pH = 4 and pH = 10, and different descriptors to understand organic corrosion inhibitors.

DataCor (POCI-01-0145-FEDER-030256 and PTDC/QUI-QFI/30256/2017, https://datacorproject.wixsite.com/datacor)
DOI: 10.17632/vww89n6r5s
title: Vowel Acoustic Data in Junan Dialect from 115 Speakers Covering Age Range of 18-84 Years Old

description: The data is collected in Junan County, Linyi City, Shandong Province, China. All participants were L1 speakers of the Junan dialect recruited locally, and they were in good health with no prolonged history of leaving the area. A total of 115 participants (61 females and 54 males) between the ages of 18 and 84 were initially included in the data collection. The recording utilized 12 monosyllabic words with a CV structure covering all seven monophthongs in the phonemic system of the Junan dialect (i.e., /i, y, ɛ, a, ɔ, u, ə/). These words are common verbs, nouns, or surnames in the local area.

Formant data in the dataset is extracted under the following procedure: manual vowel segment labeling, LPC formant estimation, Viterbi tracking based on reference formant values, manual verification. The Python scripts used in the procedure can be found the "formant_extract" folder.

The formant, mean pitch and duration data can be found the file "Formants.csv" and the basic gender and age information of speakers can be found in the file "SpeakerInfo.csv", where sensitive private information are removed. The statistical analysis of the formant data is conducted in R. The R scripts used in the analysis can be found in the "Formants.Rmd" file.
DOI: 10.6084/m9.figshare.9888155.v2
title: Acceptability and sensory qualities of fortified rice in Nepal

description: The data sets have enough information to replicate the results of our study on acceptability of fortified rice in Nepal.
DOI: 10.17632/38fdw7sm62
title: Vertical deformation rate during 2017-2023 near Ciudad Guzmán, Jalisco, Mexico, computed from Sentinel-1 data using MSBAS software

description: Vertical deformation rate during 2017-2023 near Ciudad Guzmán, Jalisco, Mexico, computed from Sentinel-1 ascending (Track 049 Frame 0059) and descending (Track 012 Frame 0526) data using MSBAS software (Samsonov and d‘Oreye, 2017).

The results have not been validated. The presence of upward deformation cannot be explained and can be a processing artifact.

Files
bperp_049_0059 - interferogram baselines for track 049
bperp_012_0526 - interferogram baselines for track 012
MSBAS_LINEAR_RATE_UD - vertical linear deformation rate measured in m/year
MSBAS_LINEAR_RATE_STD_UD - standard deviation of the vertical linear deformation rate measured in m/year
MSBAS_LINEAR_RATE_R2_UD - coefficient of determination R2
Guzman_time_series - time series of 5x5 pixel region centred at the subsidence extrema at Ciudad Guzmán

References
Samsonov, S. and d‘Oreye, N. 2017. Multidimensional Small Baseline Subset (MSBAS) for Two-Dimensional Deformation Analysis: Case Study Mexico City. Canadian Journal of Remote Sensing, 43, 318–329, https://doi.org/10.1080/07038992.2017.1344926

Contact
See readme.pdf
DOI: 10.17632/9dx23j5d64
title: Dataset for "Automated interpretation of the coronary angioscopy with deep convolutional neural networks"

description: Raw data, generated images and python scripts to reproduce the results in our research paper: Automated interpretation of coronary angioscopy with deep convolutional neural networks.
DOI: 10.3886/e237304v1
title: Digital Services Trade and Economic Capacity: The Mediating Roles of Innovation and Employment

description: Main dataset used for a research paper entitled Digital Services Trade and Economic Capacity: The Mediating Roles of Innovation and Employment.<b></b>
DOI: 10.15468/dl.kzffn5
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Strombosia scheffleri"
 ]
}

 The dataset includes 906 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025700-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8qfby
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protorhus thouarsii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005871-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18452244
title: Powder X-ray Diffraction Information Files (.pxrdif)
DOI: 10.5281/zenodo.17388177
title: Powder X-ray Diffraction Information Files (.pxrdif)
DOI: 10.15468/dl.edkq6k
title: Occurrence Download

description: A dataset containing 336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudosmodingium andrieuxii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 336 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005873-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26192/q37yz
title: Results from a survey of members of the IT Service Management Forum of Australia to measure the performance of service orientated IT management

description: The raw data was collected by means of a electronic survey with a link to the questionnaire emailed to 2,085 itSMF Australia members between November 2009 and December 2009. 263 survey responses were returned with 215 considered complete for quantitative and qualitative data analysis. The study unit of analysis is a group, the IT organisation, and the itSMFA members acted as the key source of information on IT Service Management performance measurement practices. The data set used in the referenced publication focused on 203 IT Infrastructure Library user responses; non-IT Infrastructure Library user responses were excluded in this paper.
description: SPSS v19 and Excel files
DOI: 10.60521/332542
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM124) from the Dorado Outcrop Outcrop, acquired during R/V Falkor (too) expedition FKt230602 (2023)

description: This data set was acquired with a Kongsberg EM124 Multibeam Sonar during R/V Falkor (too) expedition FKt230602 conducted in 2023 (Chief Scientist: Dr. Beth Orcutt). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.60521/332550
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM712) from the Pacific Ocean (Southern) Ocean, acquired during R/V Falkor (too) expedition FKt240412 (2024)

description: This data set was acquired with a Kongsberg EM712 Multibeam Sonar during R/V Falkor (too) expedition FKt240412 conducted in 2024 (Chief Scientist: Dr. Maria Pachiadaki). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.60521/332551
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM712) from the Dorado Outcrop Outcrop, acquired during R/V Falkor (too) expedition FKt230602 (2023)

description: This data set was acquired with a Kongsberg EM712 Multibeam Sonar during R/V Falkor (too) expedition FKt230602 conducted in 2023 (Chief Scientist: Dr. Beth Orcutt). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.60521/332552
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM124) from the Pacific Ocean (Southern) Ocean, acquired during R/V Falkor (too) expedition FKt240412 (2024)

description: This data set was acquired with a Kongsberg EM124 Multibeam Sonar during R/V Falkor (too) expedition FKt240412 conducted in 2024 (Chief Scientist: Dr. Maria Pachiadaki). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.60521/332616
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM124) acquired during R/V Falkor (too) Field:Marine:Transit FKt230508 (2023)

description: This data set was acquired with a Kongsberg EM124 Multibeam Sonar during R/V Falkor (too) Field:Marine:Transit FKt230508 conducted in 2023 (Chief Scientist: SOI Data Manager). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.60521/332617
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM124) acquired during R/V Falkor (too) expedition FKt230629 (2023)

description: This data set was acquired with a Kongsberg EM124 Multibeam Sonar during R/V Falkor (too) expedition FKt230629 conducted in 2023 (Chief Scientist: Dr. Monika Bright). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.15468/dl.e73ar7
title: Occurrence Download

description: A dataset containing 1163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudospondias microcarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1163 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005874-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60521/332623
title: Processed Acoustic Backscatter, Sidescan and Swath Bathymetry Data (EM124) acquired during R/V Falkor (too) expedition FKt240902 (2024)

description: This data set was acquired with a Kongsberg EM124 Multibeam Sonar during R/V Falkor (too) expedition FKt240902 conducted in 2024 (Chief Scientist: Dr. Sebastian Watt). These data files are of MBSystem-compatible format and include Acoustic Backscatter, Sidescan and Swath Bathymetry data that were processed after acquisition. This data was processed by Map the Gaps and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.4.1).
DOI: 10.15468/dl.fzdmre
title: Occurrence Download

description: A dataset containing 178476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-74.08009 4.552913, -74.07302 4.517395, -74.07154 4.513279, -74.07106 4.512727, -74.07077 4.512451, -74.07062 4.512356, -74.07036 4.512223, -74.06789 4.511085, -74.05606 4.508626, -74.04197 4.511532, -74.04197 4.51154, -74.04187 4.511706, -74.04174 4.511932, -74.0417 4.511998, -74.03108 4.54041, -74.02877 4.547451, -74.02796 4.55012, -74.00184 4.674961, -74.00775 4.717083, -74.00824 4.717696, -74.00951 4.718488, -74.02152 4.717135, -74.02164 4.717115, -74.02315 4.714854, -74.04479 4.663931, -74.04486 4.663745, -74.04648 4.659473, -74.06242 4.615377, -74.07426 4.574775, -74.08009 4.552913))",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 178476 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005863-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23gnxu
title: Occurrence Download

description: A dataset containing 3120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.47465 19.8704,-99.89377 19.18896,-99.55914 19.22418,-99.32128 19.9136,-99.94919 20.45009,-100.47465 19.8704))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 3120 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005875-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uykyew
title: Occurrence Download

description: A dataset containing 64062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AntWeb",
 "MediaType is Image"
 ]
}

 The dataset includes 64062 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005872-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.