cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yv7vcf4c85.2
title: An Acrylonitrile-Based Copolymer Gel as an NMR Alignment Medium for Extraction of Residual Dipolar Couplings of Small Molecules in Aqueous Solution

description: NMR spectra, molecular geometries and StereoFitter MSpin input/output files
DOI: 10.17632/yx7sy7frnh.2
title: A high-precision vehicle trajectory dataset in Shanghai

description: This is a dataset containing measurement trajectory data from a drone, as well as high-precision trajectory data with an error less than 5cm collected by centimetre-level progressing GNSS receivers. The sample size (number of trajectories of the experimental vehicle inside the intersection) of each measure method is 70, including 27 left-turn trajectories, 27 through trajectories and 16 right-turn trajectories.
DOI: 10.17632/39vyf9gx9x.1
title: Audio recording and spectrum

description: Audio recording and spectrum
DOI: 10.17632/39vyf9gx9x.2
title: Audio recording and spectrum

description: The "Audio and Spectrum" folder contains an "Audio Recordings" subfolder, a "Respondent Consent Form," and a "Spectrums" file.
DOI: 10.17632/39vyf9gx9x.3
title: Audio recording and spectrum

description: The "Audio and Spectrum" folder contains an "Audio Recordings" subfolder, a "Respondent Consent Form," and a "Spectrums" file.
DOI: 10.17632/zgktc578f4.1
title: Dataset for Assessing the potential of produced water as an unconventional water resource for agriculture in the Anadarko Basin

description: This excel file includes data associated with the manuscript entitled "Assessing the potential of produced water as an unconventional water resource for agriculture in the Anadarko Basin." 

The file includes five data tables related to produced water quality, annual volumes of water use for irrigation and livestock, produced water volume estimates, produced water available for reuse, and produced water treatment scenarios.
DOI: 10.17632/39vyf9gx9x.4
title: Audio recording

description: The "Audio and Spectrum" folder contains an "Audio Recordings" subfolder, a "Respondent Consent Form," and a "Spectrums" file.
DOI: 10.17632/v6f2rhv42z.2
title: RT-PCR analysis of ATG genes and western blot analysis of ATG8 in Cucumis sativus during stress conditions

description: The expression of different splice variance of ATG genes in Cucumis sativus under stresses conditions including nitrogen starvation, oxidative stress, and pathogen infection were examined using realtime-PCR. 
The nitrogen starvation experiment was performed using five-day-old seedlings of C. sativus grown on liquid 1/2 MS medium with and without nitrogen for 2, 4 and 6 days (Oka et al., 2012). Oxidative stress was conducted using two-week-old seedlings grown on soil. These plants were sprayed once with 50 µM Methyl viologen (MV) prepared in 0.05% (v/v) Tween 20 (Song et al., 2005), and leaves samples were collected at 3, 6, 9, 12 and 15 days after the treatment. For pathogen responses, seven-day-old seedlings of C. sativus grown on soil were inoculated with sporangia of the fungi causing downy mildew disease (Pseudoperonospora cubensis). Samples were collected at 6, 12, 24, 72 and 168 h after inoculation. For each experiment, three replicates were collected for each time point before frozen in liquid nitrogen and stored at - 80 °C
The real-time PCR analysis was performed in duplicate assays in 96-well plates; each 10 µl reaction consisted of 2x QPCR Green Master Mix (Biotechrabbit, Germany), 5 µmol forward and reverse primers and 1 ng cDNA. The primers were designed to span the junction that differ between transcript variances. The data of Ct values obtained from two different experimental RNA samples were directly normalized to a housekeeping gene, CsActin. The fold-change in expression of the gene of interest between each timepoint was then calculated as 2^ (-ΔΔCt). Statistical differences in the level expression compared to the expression at time point 0 or that of ATG7 were analyzed with student’s T test with two-tailed distribution.
Protein extraction and immunoblot analysis
Samples were ground and resuspended in extraction buffer (50 mM Tris-HCl pH 8.0, 150 mM NaCl, 2 mM EDTA, 10% (v/v) glycerol, 0.5% (v/v) IGEPAL CA-360, 1 mM phenylmethylsulfonyl fluoride) on ice. Crude proteins were separated on18% SDS-PAGE before stained using Coomassie blue or transferred onto a PVDF membrane (GE Healthcare). Immunodetection of ATG8 was performed using anti-CrATG8 (Pérez-Pérez et al., 2010), with a working concentration of the primary antibody at 1:1000 in PBS containing 2.5% BSA. The Coomassie Brilliant Blue staining of the gel was used to estimate the amount of protein loaded.
DOI: 10.17632/hdz96zts8j.1
title: ImageOP

description: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification (ImageOP).

This dataset comprises 1,613 images of facades from 32 religious buildings in the Historic Town of Ouro Preto, categorized into five classes: 

# Fronton (Frontão in Portuguese) (290 images): the upper part of religious buildings. 
# Church (Igreja in Portuguese) (353 images): class containing photographs of religious monuments featuring multiple building components in the same image. 
# Window (Janela in Portuguese) (341 images): images of windows (front or side) of religious buildings.
# Door (Porta in Portuguese) (292 images): images of doors (front or side) of religious buildings.
# Tower (Torre in Portuguese) (337 images): photographs of towers of religious buildings, typically featuring a bell.

The Historic Town of Ouro Preto was the first city in Brazil added to the World Heritage List of UNESCO in 1980. Currently, the Historic Town of Ouro Preto preserves several examples of religious and civic buildings in terms of design and materials used in the 18th and 19th centuries.
DOI: 10.17632/gcdj9gcmp6.1
title: LINF_310034600

description: FAD/NAD(P)-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/dzsg2yp4mw.1
title: Vanheukelom2022_XRD-pattern

description: The XRD patterns of the bulk clay samples with added ZnO (10wt%) and oriented slides of the isolated &lt;2μm fraction in Ca-saturated state and ethylene glycol state.
DOI: 10.17632/6cjgr5xthm.1
title: EDUS - Emotion Dataset on Undiksha Students

description: This dataset is a collection of electroencephalogram (EEG) data signals recorded on 17 participants (ten males and seven females) of Ganesha University of Education students. EEG signal recording using the Emotiv Epoc X device with 14 channels. This EEG data signal will be used to represent the participants' emotions. Two emotion indicators are used, namely, High/Low for Arousal and Positive/Negative for Valence. The stimulus media used are film clips validated using the Cronch-Bach Alpha method. The selected stimulus media represent four quadrants of emotion: High Arousal Positive Valence, High Arousal Negative Valence, Low Arousal Negative Valence, and Low Arousal Positive Valence.
DOI: 10.57754/fdat.ah36p-2sg78
title: English-German Database of Idiom Norms (DIN)

description: This experimental data was created in the context of the project B9 Getting a Grip on Non-Literal Meaning The Dynamics of Understanding Idiomatic Expressions in Language Learners. It is a rating experiment.
description: Research carried out in work package B09 of the SFB 833.
DOI: 10.17632/vjx6rdjh5j.1
title: LDHU3_17.1450

description: U5 small nuclear ribonucleoprotein 200 kDa helicase | U5-200K | Brr2; Leishmania donovani (HU3 strain)
DOI: 10.17632/ndsdr5ymzr.1
title: Monitoring of multipoint borehole extensometers and results of physical modelling

description: Data concerning monitoring the rock bolt heads are in file roof_subsidence.xls (roof subsidence) and Schem&vol-measur2001.xls (distance between the heads of adjacent rock bolts)
Subdirectory Fisical_model contains the data concerning the physical modeling. File Physical_model_fotos.docx presents photos of the all model states, which were selected to digitize the marks positions and then incremental displacements of the marks, namely the difference of the positions between serial (sequential) states. File affin_transform_01.xlsx contains data described affine transformation of the photos. Files *.srf present fields of the incremental displacement of the marks between successive state of the model.
DOI: 10.17632/3cbsvgdzvb.1
title: LINF_310038600

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/swnsjsc5vx.1
title: LINF_310035500

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mr79876xr2.2
title: The performance of the pattern search direct search method in solving load estimation problems

description: Accurately estimating load is essential for effective electric distribution planning, assets management, precise power flow predictions, accurate power losses calculations, and efficient integration of distributed energy resources. To facilitate this, a dataset was generated using Matlab to produce various simulations in the Open Electric Power Distribution System Simulator (OpenDSS), a widely used software in the electric distribution industry. These simulations were conducted on three typical distribution feeders (IEEE 13-bus, 37-bus, and 123-bus) that support studies in distribution planning, assets management, power flow predictions, power losses calculations, and distributed resource integration. The dataset includes individual demand profiles of residential, commercial, and industrial consumers specified for the three distribution feeders, comprising at least 96 distinct scenarios. An optimization method was developed using the obtained dataset, which employs the pattern search technique to estimate loads by optimizing specified objective functions and constraints. The load estimation quality was assessed for all three feeders, utilizing estimation quality indices proposed by the authors. These indices evaluated both the initial and proposed load estimation methods across the developed scenarios. Furthermore, the data provided in this article can be utilized for comparison with future load estimation studies, particularly regarding the quality of the method's results.
DOI: 10.17632/r6g6t74ct6.1
title: LINF_310037100

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/884w3hzx4d.1
title: Multi-proxy dataset for cores SRM, SRS6, and SRMT from the Shark River mouth, FL

description: The attached file lists the original grain size, loss-on-ignition, isotope, X-ray fluorescence, and palynological dataset that includes a total of 27 parameters from cores SRM, SRMT, and SRS6 from the mouth of the Shark River in the Florida Coastal Everglades.
DOI: 10.17632/vznxxnc7hf.1
title: LDHU3_17.1550

description: Hydrolase - alpha/beta fold family-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/jrcpvx2h56.1
title: LDHU3_17.1500

description: Mak10 subunit - NatC N(alpha)-terminal acetyltransferase; Leishmania donovani (HU3 strain)
DOI: 10.17632/vzxmwrsc6y.1
title: LDHU3_17.1480

description: 3'5'-cyclic nucleotide phosphodiesterase; Leishmania donovani (HU3 strain)
DOI: 10.17632/npkf4r3349.1
title: LDHU3_17.1460

description: Formin; Leishmania donovani (HU3 strain)
DOI: 10.17632/hmr68jfccn.1
title: TRIP Reconstruction Script and Data Files

description: The files provided here are provided as part of the work outlined in "Reconstruction of Parent Microstructures in TRIP Titanium Alloys". They consist of a MATLAB script run on R2020B using the MTEX plugin version 5.70, and two EBSD datasets in the .ang file format. 

Researchers may download the reconstruction script and data files to repeat or investigate the reconstruction process outlined in "Reconstruction of Parent Microstructures in TRIP Titanium Alloys". If a researcher utilizes the included reconstruction script for their own publication, please cite this paper.

Please contact Alec Saville prior to using any of the data included here in another publication or your own work. Data files are ONLY included here for transparency in the aforementioned work and for replication/repeating the reconstruction of these datasets.

Important things to note:
You will need 96 GB or more of RAM to reconstruct these datasets. As scripted, the reconstruction process takes ~ 3 days for both the peak aged and the as-quenched data files.

The as-quenched dataset is identified as: S5_AQ_05_cleaned.ang
The peak-aged dataset is identified as: S33_PA_cleaned.ang

The reconstruction process employed here uses the MTEX community plugin (https://mtex-toolbox.github.io/). Please make sure to also cite the appropriate MTEX publication in your use of these files/reconstruction script.
DOI: 10.17632/4d5yr7549k.1
title: Structural and electronic characteristic dataset of the water on basal surface the cis- and trans-vacant variety of a montmorillonite

description: The data given in the paper refer to the research study “Structure of bound water layer on montmorillonite surface: the role of trans- and cis-vacant sites”. They were obtained using CASTEP based on the density functional theory (DFT) applying a basis set of plane waves and PBE exchange-correlation functional. Van der Waals interactions were considered by the semi-empirical Grimm correction D2. The data include the optimized geometry and electronic properties of the balanced state of the non-hydrated cis- and trans-vacant variety of a Na-montmorillonite (MMT) and its state after the adsorption of water molecules. The data on hydration shells formed by the Na+ cation on the basal surface of MMT are also presented. Data files of the optimized crystal structures and electronic properties can be read by the public text editors.
DOI: 10.17632/r9smfpn6df.1
title: Data collected for A review on EEG-based music datasets

description: This narrative review has gathered and contrasted the distinct attributes of the openly accessible EEG datasets they are commonly used to develop (affective) Brain-computer Music related algorithms. We explored the strengths and drawbacks inherent in the attributes of the EEG datasets. Drawing from our investigation, we pinpointed 19 characteristics that make the music-based EEG datasets unique. We also briefly looked into how specific characteristics of the datasets that are openly accessible impact the performance and results of a study and influence the selection of machine learning techniques and preprocessing steps required to develop methods to build Brain-computer music interface algorithms. In conclusion, this study provides a guideline for choosing publicly available music-based EEG datasets for musicians and scientists working to develop reproducible, generalizable, and effective brain-computer music algorithms.
DOI: 10.17632/r9smfpn6df.2
title: Data collected for A review on EEG-based music datasets

description: This narrative review has gathered and contrasted the distinct attributes of the openly accessible EEG datasets they are commonly used to develop (affective) Brain-computer Music related algorithms. We explored the strengths and drawbacks inherent in the attributes of the EEG datasets. Drawing from our investigation, we pinpointed 19 characteristics that make the music-based EEG datasets unique. We also briefly looked into how specific characteristics of the datasets that are openly accessible impact the performance and results of a study and influence the selection of machine learning techniques and preprocessing steps required to develop methods to build Brain-computer music interface algorithms. In conclusion, this study provides a guideline for choosing publicly available music-based EEG datasets for musicians and scientists working to develop reproducible, generalizable, and effective brain-computer music algorithms.
DOI: 10.17632/r9smfpn6df.3
title: Data collected for A review on EEG-based music datasets

description: This narrative review has gathered and contrasted the distinct attributes of the openly accessible EEG datasets they are commonly used to develop (affective) Brain-computer Music related algorithms. We explored the strengths and drawbacks inherent in the attributes of the EEG datasets. Drawing from our investigation, we pinpointed 19 characteristics that make the music-based EEG datasets unique. We also briefly looked into how specific characteristics of the datasets that are openly accessible impact the performance and results of a study and influence the selection of machine learning techniques and preprocessing steps required to develop methods to build Brain-computer music interface algorithms. In conclusion, this study provides a guideline for choosing publicly available music-based EEG datasets for musicians and scientists working to develop reproducible, generalizable, and effective brain-computer music algorithms.
DOI: 10.17632/cgptcyhvd5.1
title: Alignment of a Ribo-seq dataset against Leishmania donovani (HU3) genome

description: The origin of the samples and the ribosome-footprint methodology are described in the article by Bifeld et al., 2018 (PMID: 30505948). Raw sequencing reads (Illumina single-end reads in FASTQ format) were downloaded at the NCBI Sequence Read Archive (SRA), under project number PRJNA495919. In particular, the 24,741,340 (1×76 nucleotides) Ribo-Seq reads from sample ID sample SRR8040414 (derived from L. donovani promastigotes, control sample) were used to prepare this dataset. 
Trimmomatic tool (Bolger et al., 2014; PMID: 24695404) was used to clip adapters. Additionally, rRNA-containing reads were filtered after aligning them against the rRNA sequences existing in the L. donovani genome by using the BWA-MEM aligner (Li, 2013; ArXiv ID: 1303.3997v2) according the sqtk3 pipeline (https://github.com/lh3/seqtk). The L. donovani genome used as reference (Camacho et al., 2019; PMID: 30992521) is available thought the following Mendeley dataset: https://data.mendeley.com/datasets/b82fm2w2h9/2. Thereafter, the BWA-MEM aligner was used to map remaining reads to the genome and the resulting alignment files were sorted and indexed using SAMtools (Li et al., 2009; PMID: 19505943). This final file (and its accompanying bam.bai) is linked to this dataset.
DOI: 10.17632/7y7mg4r9b4.1
title: COVID-19 Vaccine Understanding and Acceptance in Java

description: These are supplementary materials and raw data of COVID-19 Vaccine Understanding and Acceptance in Java
DOI: 10.17632/rhbw8wbfxp.2
title: Protective activity of health-promoting compounds in leaves of Crataegus pinnatifida Bge.

description: This is the supporting data for the hawthorn leaf of article. The content includes the following aspects: 1. The research process of the article. 2. 1H and 13C NMR and 2D NMR spectra of the compound. 3. Antioxidant experimental data. 4. Protective activity data of the compound on hydrogen peroxide-induced nerve cells. 5. Protective activity data of compounds against alcohol-induced hepatocyte injury.
DOI: 10.17632/5bhwp4t8xb.1
title: Data Set on Households Preferences on Energy Label in Malaysia

description: We collected primary data from 799 households in Malaysia to determine their preferences regarding energy labels when buying a refrigerator. The dataset is organized based on the commands used for the econometric software NLogit. This data will be utilized for in-depth analysis, specifically to determine the marginal willingness to pay (MWTP) using the Choice Experiment method. The provided data presents a comprehensive overview of the socio-demographic information gathered during the field survey from the participating individuals. Understanding households' energy label preferences is essential for promoting sustainability. By influencing consumer behavior towards energy-efficient choices, we can contribute to mitigating climate change and protecting the environment while conserving valuable resources.
DOI: 10.17632/pspv9z9g4t.3
title: Data for: Formation of early continental crust by remelting of seawater-hydrothermally altered oceanic crust: evidence from potassium and oxygen isotopes

description: Raw data for the manuscript by Zhang et al. to be published as "Formation of early continental crust by remelting of seawater-hydrothermally altered oceanic crust: evidence from potassium and oxygen isotopes".
DOI: 10.17632/xyc7vv94fy.1
title: WiFi Shore-to-shore communications dataset

description: Aquatic environments impose challenging conditions for signal propagation, impairing ubiquitous connectivity between (IoT) nodes resulting in degraded application performance. This dataset gathers information on the channel characteristics at 2.4 GHz between two shore nodes (shore-to-shore communications) operating over an intertidal zone with significant water level variations. The measurement campaign was conducted during the ebb period in the northern part of the coastal lagoon-estuarine system of Ria de Aveiro (Carregal, Ovar, Portugal) during May 2021. 

Additional details on the data gathering procedure and a complete data description are provided in the following paper:
- Pedro M. d'Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João B. Sousa, Luís Almeida, Assessing Short-Range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications, Computer Networks, xxxx
DOI: 10.5281/zenodo.14698445
title: RGB and LiDAR Dataset from Harvester at Vindeln Test Site

description: This dataset was collected by Komatsu using RGB cameras and LiDAR at the Vindeln test site. DAC processed the data by performing temporal synchronization, removing distortion from RGB images based on a calibration model, and linking points in the point cloud to their corresponding objects in the RGB images. A test sample was selected and manually annotated.

RGB images and LiDAR scans are authored by KOMATSU and if you wish to use them it is required contact Komatsu directly johan.fransson@komatsuforest.com

Aligned data, filtered and matched (Lidar points to RGB scene) are authored by DAC.digital and if you wish to use them it is required contact DAC hello@dac.digital
DOI: 10.5281/zenodo.14698446
title: RGB and LiDAR Dataset from Harvester at Vindeln Test Site

description: This dataset was collected by Komatsu using RGB cameras and LiDAR at the Vindeln test site. DAC processed the data by performing temporal synchronization, removing distortion from RGB images based on a calibration model, and linking points in the point cloud to their corresponding objects in the RGB images. A test sample was selected and manually annotated.

RGB images and LiDAR scans are authored by KOMATSU and if you wish to use them it is required contact Komatsu directly johan.fransson@komatsuforest.com

Aligned data, filtered and matched (Lidar points to RGB scene) are authored by DAC.digital and if you wish to use them it is required contact DAC hello@dac.digital
DOI: 10.15468/dl.6k9myu
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 "Continent is Asia",
 "Country is India",
 "GadmGid is IND",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, The taxon ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, Occurrence status inferred from individual count, Institution match none, Collection match none, Institution collection mismatch, Institution match fuzzy, Collection match fuzzy)",
 "IucnRedListCategory is one of (NE, DD, LC, NT, VU, EN, CR, EW, EX)",
 "TaxonKey is Derris Lour."
 ]
}

 The dataset includes 177 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004315-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/854w8hcf42.1
title: LDHU3_08.1370

description: Cysteine peptidase B (CPB); Leishmania donovani (HU3 strain)