cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/35wh56287y.2
title: IoT-based Dataset of a Tomato Cultivation Under Different Irrigation Regimes

description: This experimental dataset contains IoT-based data collected through Long Range Wide Area Network (LoRaWAN) commercial devices in a tomato (Solanum lycopersicum L. cv. HEINZ 1301) cultivation located at the “Azienda Sperimentale Stuard” in Parma, Italy (lat: 44.80787, lon: 10.27467), and data generated by the Agriware platform. 

More in detail, the IoT-based irrigation system located in the “Azienda Sperimentale Stuard” to manage the watering of the tomato crop has been organized with 3 experimental lines associated with 3 different watering regimes: (i) Line #1 was irrigated with a water quantity equal to the recommendation of the Italian “Irriframe” platform (https://www.irriframe.it/); (ii) Line #2 was irrigated with a water quantity equal to the 60% of Line #1; (iii) Line #3 was irrigated with a water quantity equal to the 30% of Line #1. 

The dataset is composed of 4 CSV files. Three of these files contain the following information, generated by IoT devices (environmental sensor, water meters, and soil sensors) and sampled every 10 minutes: timestamp; device identifier; air moisture and temperature; carbon dioxide (CO2) level; barometric pressure; battery percentage; tomato line identifier; water volume; soil electrical conductivity, moisture, and temperature. The remaining CSV file contains daily values of agronomic indicators, calculated through the Agriware platform mainly using the average daily air temperature values, such as: the daily values of Growing Degree Days (GDD) and Heat Units (namely: standard day degree, daily mean temperature, daily maximum temperature above T_base, daily maximum temperature, daily maximum temperature above T_base with reduction of T_cutoff, Ontario units.) 

 

A complete description of the CSV file can be found in the README.txt file. 

The dataset has been generated in the context of the following two projects: (i) Agritech - “National Research Centre for Agricultural Technologies,” project code CN00000022, funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender no. 3138 of 16/12/2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU, Concession Decree no. 1032 of 17/06/2022 adopted by the Italian Ministry of University and Research; and (ii) SMALLDERS - “Smart Models for Agrifood Local vaLue chain based on Digital technologies for Enabling covid-19 Resilience and Sustainability,” co-funded by the PRIMA Program - Section 2 Call multi-topics 2021, through the following National Authorities: Ministry of Universities and Research (MUR, Italy), State Research Agency (AEI, Spain), Agence Nationale de la Recherche (ANR, France), Ministry of Higher Education and Scientific Research (Tunisia). The dataset reflects only the authors’ views; the European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.17632/9xxm58dvs3.2
title: SICAPv2 - Prostate Whole Slide Images with Gleason Grades Annotations

description: A database containing prostate histology whole slide images with both annotations of global Gleason scores and path-level Gleason grades. Data associated with the paper: Silva-Rodríguez, J., Colomer, A., Sales, M. A., Molina, R., & Naranjo, V. (2020). Going deeper through the Gleason scoring scale : An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Computer Methods and Programs in Biomedicine, 195. https://doi.org/10.1016/j.cmpb.2020.105637
DOI: 10.15468/dl.dvrbgg
title: Occurrence Download

description: A dataset containing 1778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pistacia chinensis Bunge",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1778 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009266-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p626bnw663.1
title: GMXPBSA 2.0: A GROMACS tool to perform MM/PBSA and computational alanine scanning

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract GMXPBSA 2.0 is a user-friendly suite of Bash/Perl scripts for streamlining MM/PBSA calculations on structural ensembles derived from GROMACS trajectories, to automatically calculate binding free energies for protein–protein or ligand–protein complexes. GMXPBSA 2.0 is flexible and can easily be customized to specific needs. Additionally, it performs computational alanine scanning (CAS) to study the effects of ligand and/or receptor alanine mutations on the free energy of binding. Calculations ... Title of program: GMXPBSA 2.0 Catalogue Id: AETQ_v1_0 Nature of problem Calculates the Molecular Mechanics (MM) data (Lennard-Jones and Coulomb terms) and the solvation energy terms (polar and nonpolar terms respectively) from an ensemble of structures derived from GROMACS molecular dynamics simulation trajectory. These calculations are performed for each single component of the simulated complex, including protein and ligand. In order to cancel out artefacts an identical grid setup for each component, including complex, protein and ligand, is required. Performs sta ... Versions of this program held in the CPC repository in Mendeley Data AETQ_v1_0; GMXPBSA 2.0; 10.1016/j.cpc.2014.06.019 AETQ_v1_1; GMXPBSA 2.1; 10.1016/j.cpc.2014.09.010
DOI: 10.17632/jsvbvgzkf8.4
title: Data on Banking Chatbot Service Quality

description: A structured questionnaire was initially distributed to 800 Indian Chatbot users in Bangalore, India, via the Redcap survey tool and participants were presented with explicit ethical instructions and guaranteed the confidentiality of their input. Out of the 800 recipients, 738 responded to the survey. However, 124 of these responses were incomplete. As a result, a total of 614 completed responses were obtained initially. Subsequently, reminder emails were sent to a subset of 465 respondents, which included those with incomplete surveys. Within this group, 211 respondents completed the survey. Following this, another round of reminders was sent. All of the remaining respondents in this group including 124 respondents filled out the questionnaire. All items were assessed using a five-point Likert-type scale, where "Strongly agree" was assigned a value of 1, "Agree" as 2, "Neutral" as 3, "Disagree" as 4, and "Strongly disagree" as 5. Chabot service quality was measured using AISQC (Artificial Intelligence Service Quality ) scale which is adapted .The study selected participants from Indian banking customers from Bangalore, India. The target group for data collection consisted of individuals aged 18 and above with prior experience using Chatbot in the banking sector. The study concentrated on individuals utilizing chatbot provided by leading Indian banks such as HDFC Bank, ICICI Bank, SBI Bank, YES Bank, City Union Bank, Bank of Baroda, Indus Bank, Andhra Bank, Kotak Mahindra Bank, and AXIS Bank. The uncontrolled quota sampling method, a non-probability sampling technique, was used. The variables in the study are Customer value (CV),customer satisfaction (CSAT) ,Customer trust (CT) and customer loyalty (CL) which i are dependent variable , semantic understanding (SEM), human collaboration (HC) , Human-Like (HL), Continuous Improvement(CI), Personalization (PERS), Cultural adaptation (CA) and efficiency (EY)is independent variable.
Note : The incomplete data or missing data is represented by o in the raw data set
DOI: 10.17632/kzn7z6bn4g.1
title: R Script to do the Wavelet Transform analysis

description: This script was used from an algorithm developed in the R statistics project version 4.0.2, to do the Wavelet Transform analysis, and the following library was used:  

library(biwavelet)
Package ‘biwavelet’
October 12, 2022
Type Package
Title Conduct Univariate and Bivariate Wavelet Analyses
Version 0.20.21
Date 2021-05-24
Author Tarik C. Gouhier, Aslak Grinsted, Viliam Simko
Maintainer Tarik C. Gouhier <tarik.gouhier@gmail.com>
Description This is a port of the WTC MATLAB package written by Aslak Grinsted
and the wavelet program written by Christopher Torrence and Gibert P.
Compo. This package can be used to perform univariate and bivariate
(cross-wavelet, wavelet coherence, wavelet clustering) analyses.
License GPL (>= 2)
URL https://github.com/tgouhier/biwavelet
BugReports https://github.com/tgouhier/biwavelet/issues

biwavelet-package 3
Author(s)
Tarik C. Gouhier
Maintainer: Tarik C. Gouhier <tarik.gouhier@gmail.com>
Code based on WTC MATLAB package written by Aslak Grinsted and the wavelet MATLAB
program written by Christopher Torrence and Gibert P. Compo.

References
Cazelles, B., M. Chavez, D. Berteaux, F. Menard, J. O. Vik, S. Jenouvrier, and N. C. Stenseth. 2008.
Wavelet analysis of ecological time series. Oecologia 156:287-304.
Grinsted, A., J. C. Moore, and S. Jevrejeva. 2004. Application of the cross wavelet transform and
wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics 11:561-566.
Liu, Y., X. San Liang, and R. H. Weisberg. 2007. Rectification of the Bias in the Wavelet Power
Spectrum. Journal of Atmospheric and Oceanic Technology 24:2093-2102.
Rouyer, T., J. M. Fromentin, F. Menard, B. Cazelles, K. Briand, R. Pianet, B. Planque, and N.
C. Stenseth. 2008. Complex interplays among population dynamics, environmental forcing, and
exploitation in fisheries. Proceedings of the National Academy of Sciences 105:5420-5425.
Rouyer, T., J. M. Fromentin, N. C. Stenseth, and B. Cazelles. 2008. Analysing multiple time series
and extending significance testing in wavelet analysis. Marine Ecology Progress Series 359:11-23.
Torrence, C., and G. P. Compo. 1998. A Practical Guide to Wavelet Analysis. Bulletin of the
American Meteorological Society 79:61-78.
Torrence, C., and P. J. Webster. 1998. The annual cycle of persistence in the El Nino/Southern
Oscillation. Quarterly Journal of the Royal Meteorological Society 124:1985-2004.
Veleda, D., R. Montagne, and M. Araujo. 2012. Cross-Wavelet Bias Corrected by Normalizing
Scales. Journal of Atmospheric and Oceanic Technology 29:1401-1408.
DOI: 10.17632/ybj9msktyy.1
title: Educator Competency and Capacity Development Model in the 21st Century Era (Study of Principal and Teacher Leadership Models in The Indonesian National Education "Merdeka Belajar" Program)

description: This data presents the principal's leadership model and educator competency. Data was collected during the implementation of the Program Sekolah Penggerak (PSP) in Senior High Schools. Data are in the form of worksheets and good practices implemented by the school.
DOI: 10.17632/7z8yx644hb.1
title: Tracking in-situ checkpoint inhibitor bound target T cells in checkpoint colitis : Additional Data

description: Additional Tables and Data for "Tracking in-situ checkpoint inhibitor bound target T cells in checkpoint colitis" by Gupta et al. 
Patients with Checkpoint inhibitor-induced colitis (CPI_colitis), Checkpoint inhibitor treatment without colitis (CPI_control), Ulcerative colitis (UC_I/UC) and Healthy Controls (HC) investigated with single-cell RNA sequencing and spatial transcriptomics
DOI: 10.17632/bzpzjn85pb.1
title: R code and sample data for the parallel implementation of the Kernel MNL model

description: This code allows parallel estimation and parallel prediction of kernel Multinomial Logit Model. In this code, we use a subset (5000 observations) of the data used in this paper.
DOI: 10.17632/vts7r3mx79.1
title: Steel Industry Energy Consumption dataset

description: Data Variables Type Measurement Industry Energy Consumption Continuous kWh Lagging Current Reactive Power Continuous kVarh Leading Current Reactive Power Continuous kVarh tCO2(CO2) Continuous Ppm Lagging Current Power Factor Continuous % Leading Current Power Factor Continuous % Number of Seconds from Mdnt Continuous S Week status Categorical (Weekend or a Weekday) Day of week Categorical Sunday, Monday …. Saturday Load Type Categorical Light Load, Medium Load, Maximum Load
DOI: 10.17632/4g5t95nnxf.2
title: Food Choice motives in a Brazilian sample - Food Choice Questionnaire

description: The dataset include 525 respondents over 18 years old of Limeira region (Brazil). The first data file include the raw data of socioeconomic status and Food Choice Questionnaire responses. The score of each indicators are provided. The second data file include a clean database, by removing the participants with missing values on any FCQ indicators. In this second database are provided the mean values FCQ extracted factors, after exploratory (EFA) and confirmatory factor analysis (CFA). Eight factors were extracted, namely: nutritional composition, mood, health, sensory appeal, price, preparation convenience, familiarity, and purchase convenience.
DOI: 10.17632/rbn5hypgp6.1
title: Simulation dataset on fenestration and shading device variation on ventilation and energy performance of an office in cooling and heating seasons

description: This dataset describes the simulation data generated from the variation of fenestration and shading devices (F&SD) on energy and ventilation performance of an office unit across heating and cooling seasons. This dataset serves as a support of the published paper: “Investigations into Impacts of Fenestration and Shading Variation on Ventilation and Energy Performance of an Office in Cooling and Heating Seasons which can be accessed via: https://doi.org/10.1016/j.solener.2024.112646. 
The simulation of the office was carried out using the free-running physical model of International Energy Agency’s (IEA) Building Energy Simulation Test (BESTEST) Case 600FF and Shanghai ewp format weather file from the EnergyPlus website. The considered F&SD configurations include window-facing orientation (WFO), window-to-wall ratio (WWR), shading device types (SDT), number of shadings (SDN), shading device depths (SDD), and shading device tilt angle (SDA). WWR variations were achieved by changing the window height (WDH) to floor ratio. The outputs include the building environmental performance (BP) parameters [i.e. zone mean radiant temperature (°C), zone ventilation volume density flowrate (m3/s), daylight illuminance at reference point (lux), and annual glare hours (hrs)] and the energy demand (ED) in kWh/m2 performance related parameters [free-running cooling energy demands (CED), heating energy demands (HED), total energy demands (TED=CED+HED), and electricity energy use (EEU, lighting and equipment energy use)].
DOI: 10.17632/cgc33scxg7.1
title: Forward football player valuation

description: A database was generated with information on 483 soccer forwards from the Transfermarkt.de page. Only those with a market value of less than 40 million euros and who had at least one goal scored were selected. The values of the players were divided into ranges from 1 to 5, and an ordered logit model was carried out, finding a significant positive relationship between the value range of the forwards and that they play in Europe, as well as the logs of the goals and the number of Instagram followers of each of them. Similarly, a significant negative relationship was found between the value range and the logarithms of age and the number of minutes to score a goal. The model yields a correctly predicted percentage of 35.4%.
DOI: 10.17632/h6b36vt4st.1
title: X-ray diffraction data of adhesive tapes for the top dusted sample preparation method

description: The top-dusted method is one approach to prepare small-volume powder samples for the X-ray diffraction analysis in a Bragg-Brentano setup. Typically, a carrier material and an adhesion promoter are used. Instead, adhesive tapes can be used, combining the function of the carrier material and adhesion promoter. When selecting an adhesive tape, a priory knowledge of the background signal caused by the adhesive tape is not possible based solely on data sheets. Therefore, the X-ray diffraction behavior of commercially available adhesive film tapes for office and packing applications is studied. The diffractograms are provided in this data set. This enables XRD users to choose an adhesive tape for the top-dusted method best suiting their purpose. For the sake of comparison, the diffractograms of a deep well PMMA sample holder, a zero background sample holder (with and without vaseline as adhesion promoter), and a microscopy glass slide are provided.

The data correspond to a publication entitled : “Top dusted adhesive tape sample preparation method for the X-ray diffraction (XRD) analysis of small powder sample volumes with the Bragg-Brentano setup”.
DOI: 10.17632/hnt5563ysh.1
title: Clinician of the Future - survey data

description: 2023 survey of 2,607 clinicians from 116 countries (building on a 2022 survey conducted with IPSOS). Fieldwork April and May 2023.
Methodology: a random sample of clinicians (doctors and nurses in primary and secondary care) from a variety of sources. Survey sent branded on behalf of Elsevier.
Survey tool: online survey available in English, Spanish, Chinese (simplified), French, German, Japanese and Portuguese.
DOI: 10.17632/j55fyhtxn4.1
title: PlasmoCount: Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks

description: PlasmoCount is an online tool for automated detection of infected red blood cells by Plasmodium (malaria) parasites. The tool was built using a machine learning approach (convolutional neural networks) developed from training data sets of parasite infected smears (Giemsa-smears) and then subsequently tested on blind data sets to validate accuracy and reproducibility. The data sets behind the work (first described in the preprint of our paper on MedRxiv - https://doi.org/10.1101/2021.01.26.21250284) are supplied here to enable others to build improved models or alternative strategies to automated cell detection. More information about the data sets or model can be gained from contacting the Baum laboratory.
DOI: 10.17632/sxc5zk4m9w.1
title: Stabilized Epithelial Phenotype of Cancer Cells in Primary Tumors Leads to Increased Liver Metastasis in Pancreatic Cancer. Carstens et al
DOI: 10.17632/zdhc7fyzr3.1
title: Wilms tumor dataset: socio-demographic, clinicopathological, histological features and disease progression of 84 Moroccan infants

description: Wilms tumour (WT), also known as nephroblastoma, is a malignant kidney tumour that accounts for 5% of all paediatric cancers and 95% of childhood malignant renal neoplasms, with an incidence of 1 in 10,000 children. This clinical dataset provides information from 84 Moroccan patients diagnosed with Wilms tumor, and treated following the SIOP 2001 protocol. The key variables include demographic and epidemiological data (including gender, age, clinical history and comorbidities), clinical and paraclinical features (such as medical complaint, symptoms, tumor features, metastatic extensions, and anatomopathological findings), treatment regimen (involving nephrectomy, chemotherapy and x-ray treatment), clinical evaluation and patient prognosis (encompassing complete remission, relapse or mortality). The dataset can be used to relate clinical characteristics to tumor features and progression under therapy for risk stratification and better treatment management.
DOI: 10.17632/r8gmbtv7w2.3
title: Multimodal Dataset of Freezing of Gait in Parkinson's Disease

description: Freezing of gaits (FOG), a debilitating transitory inability to pursue moving, is one of the severest symptoms of Parkinson's disease (PD). An accurate and reliable detection or prediction of FOG is of great significance for PD patients' assessment and rehabilitation. It is difficult to detect FOG with sufficient low-latency and high precision based on single sensor information. In order to improve the detection accuracy and facilitate further research, we gathered and presented a new multimodal dataset by combining rich physical and physiological sensor information. The multimodal data, including electroencephalogram (EEG), electromyogram (EMG), electrocardiogram (ECG), skin conductance (SC), and acceleration (ACC) in walking tasks, were collected using a high-quality hardware system integrated commercial and self-designed sensors. A standard experimental procedure was carefully designed to induce FOG in hospital surroundings. A total number of 12 PD patients completed the experiments and produced a total length of 3 hours and 42 minutes valid data. The FOG episodes in the multimodal data were labeled by two qualified physicians. The multimodal data can be used to efficiently discriminant FOG from normal locomotion, and indicated that changes in the multimodal motional and electrophysiological signals during FOG episodes could be used to guide PD patients' treatment and recovery.
DOI: 10.17632/8h6jkvsr7t.1
title: Green Accounting Research Dataset (1992-2019 )

description: The Green Accounting research & publication dataset, which was indexed by Scopus from 1992 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/v5h6f8wnkc.1
title: Seatle and MEdford US_Data_2015-2018

description: Seattle and Medford hourly solar irradiance dataset for the year 2018.
DOI: 10.17632/w9hg964wpb.1
title: Parallel finite-element codes for the Bogoliubov-de Gennes stability analysis of Bose-Einstein condensates

description: We present and distribute a parallel finite-element toolbox written in the free software FreeFEM for computing the Bogoliubov-de Gennes (BdG) spectrum of stationary solutions to one- and two-component Gross-Pitaevskii (GP) equations, in two or three spatial dimensions. The parallelization of the toolbox relies exclusively upon the recent interfacing of FreeFEM with the PETSc library. The latter contains itself a wide palette of state-of-the-art linear algebra libraries, graph partitioners, mesh generation and domain decomposition tools, as well as a suite of eigenvalue solvers that are embodied in the SLEPc library. Within the present toolbox, stationary states of the GP equations are computed by a Newton method. Branches of solutions are constructed using an adaptive step-size continuation algorithm. The combination of mesh adaptivity tools from FreeFEM with the parallelization features from PETSc makes the toolbox efficient and reliable for the computation of stationary states. Their BdG spectrum is computed using the SLEPc eigenvalue solver. We perform extensive tests and validate our programs by comparing the toolbox's results with known theoretical and numerical findings that have been reported in the literature.
DOI: 10.17632/4cpbyhypc9.2
title: ARID1B controls transcriptional programs of axon projection in an organoid model of the human corpus callosum

description: Publication: Martins-Costa et al., "ARID1B controls transcriptional programs of axon projection in an organoid model of the human corpus callosum", Cell Stem Cell, 2024.
Data provided:
- Raw Western Blot images.
- All small datasets generated in the study.
DOI: 10.17632/nytgfgrdgm.1
title: Data for: Telling a different story: The promote role of vegetation in the initiation of shallow landslides during rainfall on the Chinese Loess Plateau

description: landslide data