cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sjxzvn4zbs.1
title: Heat abatement during the pre-weaning period: Effects on growth, feed efficiency, and metabolites of male Holstein calves

description: Heat stress abatement strategies for pre-weaned dairy calves are seldom evaluated. We conducted an experiment to evaluate the effects of heat stress abatement during the pre-weaning phase on calf hood performance. The hypotheses of the current experiment were that provision of solid shade and solid shade + fans would reduce air temperature and increase air speed to the extent that it would improve growth and feed efficiency of pre-weaned male Holstein calves compared with calves housed outside. In addition, we hypothesized that provision of fans would improve air quality, measured by reduce air ammonia (NH3) concentration and bacterial counts, to the extent that it would improve health of calves. The objectives of the current experiment were to evaluate the effects of provision of solid shade and solid shade + fans on growth and feed efficiency. Furthermore, we aimed to determine the effect of provision of fans on NH3 concentration and bacteria counts in the air and health scores during the pre-weaning phase. The environmental conditions during our experiment were representative of heat stress. The provision of heat stress abatement through shade + fans increased air velocity by nearly 3-fold, but it only reduced the air temperature by 1.3 to 3.2 °C. Thus, throughout the experiment and within 24-h periods, calves from all treatments were exposed to heat stress. This may be the reason why we did not detect an effect of treatment on feed intake, ADG, feed efficiency, and BW at weaning. The heat abatement strategies used in this experiment, however, improved welfare and health of calves measured by rectal temperature, respiratory frequency, and URTS. An important finding of our experiment that warrants further investigation was the difference in wither height at weaning between the HS and SHF treatments. We speculate that this could be a consequence of heat stress induced changes in post-absorptive nutrient partitioning and/or bone metabolism, but these theories remain to be proved.
DOI: 10.17632/n7wrm2r3j6.1
title: Treatment for the central sensitization component of knee pain using systemic manual therapy dataset

description: This dataset accompanies a study designed to test the temporal model hypothesis for the mechanism and treatment of central sensitization. This study uses a cohort retrospective multivariate analysis using a modified adaptive platform design. The analysis is done using the Halili physical therapy statistical analysis tool HPTSAT. The dataset includes raw table and expended results
DOI: 10.17632/77sfpx9b74.5
title: Monte Carlo and SBPNN-based critical values for Data Snooping

description: corrMatrix.m: This Matlab function computes the correlation matrix of w-test statistics.

KMC.m: This Matlab function computes the critical values for max-w test statistic  based on Monte Carlo method. It is needed to run corrMatrix.m before use it.

kNN.m: This Matlab function based on neural networks allows anyone to obtain the desired critical value with good control of type I error. In that case, you need to download file SBPNN.mat and save it in your folder. It is needed to run corrMatrix.m before use it.

SBPNN.mat: MATLAB's flexible network object type (called SBPNN.mat) that allows anyone to obtain the desired critical value with good control of type I error.

Examples.txt: File containing examples of both design and covariance matrices in adjustment problems of geodetic networks.

rawMC.txt: Monte-Carlo-based critical values  for the following signifiance levels: α′=  0.001, α′=  0.01, α′=  0.05, α′=  0.1  and α′=  0.5.  The  number  of  the observations (n) were fixed for each α ′with n = 5 to n= 100 by a increment of 5. For each "n" the correlation between the w-tests (ρwi,wj) were also fixed from ρwi,wj = 0.00 to ρwi,wj = 1.00, by increment of 0.1, considering also taking into account the correlation ρwi,wj =  0.999. For each combination of α′,"n" and ρwi,wj, m= 5,000,000 Monte Carlo experiments were run.
DOI: 10.17632/c249p8gdzd.3
title: Data for: Connecting MHC-I-binding motifs with HLA alleles via deep learning

description: This dataset contains the research data supporting the study, “connecting MHC-I-binding motifs with HLA alleles via deep learning”.
1. MHCI_res182_seq.json: the peptide-binding cleft sequence of each MHC-I allele extracted from  the IPD-IMGT/HLA database (version 3.41.0)
2. MHCI_res182_onehot.npy: the one-hot encoding of the peptide-binding cleft sequence of MHC-I allele
3. dataframe.tar.gz: this folder contains training, validation, and benchmark datasets
    [the common columns]
        1. sequence: the peptide sequence
        2. peptide_length: the length of peptide sequences
        3. mhc: the MHC-I allele
        4. meas: binding affinity for assay data
        5. value: the value (between 0 and 1) converted from the binding affinity
        6. bind: the label of binding
        7. source: data source (assay, MS, random decoy, or peptide decoy)
    1. train_hit.csv
        1. data: measurements extracted from IEDB for the training process
        2. columns
            1. the common columns
            2. MHCfovea: the prediction score of MHCfovea (used for ScoreCAM analysis)
    2. train_decoy_{1-90}.csv
        1. data: artificial decoy peptides for the training process; the data number of each file is almost equal to the number of eluted peptides
        2. columns
            1. the common columns
    3. valid.csv
        1. data: measurements extracted from IEDB and decoy peptides for validation
        2. columns
            1. the common columns
            2. batch_size_{16, 32, 64}_and_learning_rate_{0.00100, 0.00010, 0.00001}: for optimizing hyperparameters of batch size and learning rate
            3. DE_{1, 5, 10, 15, 30}_and_{30, 60, 90}: for optimizing the D-E ratio of the training and downsized dataset; the first number is the D-E ratio of the downsized dataset and the second number is the D-E ratio of the training dataset
    4. benchmark.csv
        1. data: eluted peptides extracted from IEDB and decoy peptides for the testing process
        2. columns
            1. the common columns
            2. NetMHCpan4.1, MHCflurry2.0, MixMHCpred2.1, MHCfovea: the prediction score of each predictor
4. allele_expansion.tar.gz: this folder contains data for the allele expansion
    1. peptides.csv: peptides used for allele expansion
    2. output/{MHC-I group}
        1. allele.json: alleles of the MHC-I group
        2. motif.npy: binding motifs for each allele
        3. prediction.npy: prediction score for each allele (the order is the same as that of peptides.csv)
5. MHCfovea-v1.0.0.zip: the source code of MHCfovea
DOI: 10.17632/g6v5y7nwr7.1
title: Apéndice del manuscrito: “Contribución del espacio verde informal a la conservación de aves en ciudades: un estudio comparativo sobre la diversidad de la comunidad de aves en sitios baldíos, parques urbanos y áreas residenciales”

description: Apéndice del manuscrito: "Contribución del espacio verde informal a la conservación de aves en ciudades: un estudio comparativo sobre la diversidad de la comunidad de aves en sitios baldíos, parques urbanos y áreas residenciales" publicado en Ornitología Neotropical.
DOI: 10.17632/g9dnfxbvgt.1
title: Datasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical Malaysia

description: Hemp, Cannabis sativa L., is one of the most controversial crops of human history, which is still illegal/ neglected in temperate countries including Malaysia. A framework for the development of hemp as a crop for the future in tropical environments has been published (Wimalasiri et al., 2021). This dataset contains some of the inputs and outputs produced during the development of a framework for hemp as a crop for the future in Malaysia. The data can be used in decision making regarding hemp cultivation in Malaysia.

Five types of data are described in the database; climate data, soil data, suitability assessment, crop data and economic data. This dataset contains different types of raw, analysed and filtered data which are available in different formats such as tables, figures and raw map files. 

Wimalasiri et al., 2021: https://doi.org/10.1016/j.indcrop.2021.113999 

Funding: This research was funded by European Union’s Horizon 2020 research and innovation programme, grant agreement No. 774234.
DOI: 10.5281/zenodo.4812952
title: The 3D-video Point Cloud Musicians Dataset

description: <strong>DESCRIPTION</strong><br> The 3D-video Point Cloud Musicians Dataset provides 3D-video point clouds of several performers playing five different instruments: cello, doublebass, guitar, saxophone, and violin. The full 3D-video recordings span 1 hour of duration with an average of 12 different performers for each instrument. All musicians point clouds are centered in the origin and the axes have the following meaning: the body face direction is the z-axis, stature direction is the y-axis, and the side direction is the x-axis. The provided musician point clouds are down-sampled from their full resolution by using a voxel size of 0.01. <strong>RECORDINGS</strong><br> Recordings were conducted using a single Azure Kinect DK placed one meter above the floor and capturing a frontal view of the musician at a distance of two meters. The Azure Kinect DK depth camera was capturing a 75°x65° field of view with a 640x576 resolution while the Azure Kinect DK color camera was capturing with a 1920x1080 resolution. Both cameras were recording at 15 fps and Open3D library was then used to align depth and color streams and generate a point cloud for each frame. Each frame is saved as .ply format file. <strong>NAMING CONVENTION</strong><br> The folders in the dataset follow this structure: Instrument -&gt; Person. The captured frames are named according to their temporal position using five numerical characters, i.e. %5d.ply
DOI: 10.5281/zenodo.4812951
title: The 3D-video Point Cloud Musicians Dataset

description: <strong>DESCRIPTION</strong><br> The 3D-video Point Cloud Musicians Dataset provides 3D-video point clouds of several performers playing five different instruments: cello, doublebass, guitar, saxophone, and violin. The full 3D-video recordings span 1 hour of duration with an average of 12 different performers for each instrument. All musicians point clouds are centered in the origin and the axes have the following meaning: the body face direction is the z-axis, stature direction is the y-axis, and the side direction is the x-axis. The provided musician point clouds are down-sampled from their full resolution by using a voxel size of 0.01. <strong>RECORDINGS</strong><br> Recordings were conducted using a single Azure Kinect DK placed one meter above the floor and capturing a frontal view of the musician at a distance of two meters. The Azure Kinect DK depth camera was capturing a 75°x65° field of view with a 640x576 resolution while the Azure Kinect DK color camera was capturing with a 1920x1080 resolution. Both cameras were recording at 15 fps and Open3D library was then used to align depth and color streams and generate a point cloud for each frame. Each frame is saved as .ply format file. <strong>NAMING CONVENTION</strong><br> The folders in the dataset follow this structure: Instrument -&gt; Person. The captured frames are named according to their temporal position using five numerical characters, i.e. %5d.ply
DOI: 10.17632/fh2hpgb3zk.2
title: Plants with anti-viral activity

description: Plants with published anti-viral activity from southern Africa from different families and genera.
DOI: 10.17632/26kzzfpgdp.1
title: Media articles

description: Articles used in this analysis grouped by country. Articles were selected using a pre-determined date range and ownership-type. UK and USA are full data sets, while Australia is stratified.
DOI: 10.17632/fv8p53xkwt.1
title: Classifications by code

description: Classifications of articles by codes. The codes are broken down into climate change coverage (denialist, accurate), experts (expert type and tone negative, tone neutral and tone positive), and further broken down by country and ownership type
DOI: 10.17632/92wp53s8sn.1
title: Dynamics of mask use as a prevention strategy sgainst SARS-CoV-2 in Panama

description: Data use of mask type in Panama and masks prices August -December 2020
DOI: 10.17632/b57z79m4kj.1
title: Detrital zircon U-Pb data from IODP Sites U1456 and U1457 with associated geochemistry and grain size information 

description: Table 1. Major elements major elements geochemical analysis of the samples considered in this study.

Table 2. Analytical results from the laser particle size analyzer for all bulk samples considered in this study.

Table 3. Analytical data for the zircon U-Pb dating of grains presented in this work.
DOI: 10.5281/zenodo.5498384
title: Origin and Structure of Electromagnetic Generator Regions at the Edge of the Electron Diffusion Region

description: The data included here is for an article submission to the Physics of Plasmas: MMS special Issue. There are electric field, magnetic field, and particle data files from MMS. There is a file from Particle-in-Cell simulations (pfd.xdmf), and there is a python notebook where some of the data was analyzed.
DOI: 10.17632/bxkk93256t.1
title: Tourist departures and divorces in Mexico: Data for Mexico, 1996Q1 - 2019Q4

description: We have analysed the effect of registered divorces in Mexico on the number of tourist departures. We have computed an over-identified SVAR model for the period 1996Q1 – 2019Q4 by way of using the following series: Multilateral real Exchange Rate, number of outbound tourists, and the number of registered divorces in Mexico. 

The VAR model has been computed using the growth rates of such series (first difference of their natural logarithm). We have used an exogenous variable to help the model to correctly simulate the main breaks in the series (dummy). 

Besides the excel files where the data can be found, we are also sharing the EViews file where VAR model was computed,
DOI: 10.17632/tpg2nbcsc5.1
title: Inter-Domain Path Computation under Node-defined Domain Uniqueness Constraint

description: + The tested data for Inter-Domain Path Computation under Domain Uniqueness constraint (IDPCDU). 

+ On account of no public dataset to be available for the IDPC-NDU problem, two distinct types of instances are created based on the dataset of IDPC-EDU, which is also a shortest-path problem. We first generated three parameters for each instance: number of nodes, number of domains, and number of edges. After that, an optimal path p where the weight of edges is equal to 1 and the number of domains on p is approximately the input graph’s domain number. Next, the noise is added to the instance by for every node in p, besides random weight edges, several random one-weight edges from that node to some other nodes not in p and some random edges with greater values of weight than the total cost of p are added into. These traps make simple greedy algorithms harder to find the optimal solution. Especially in Type 2, feasible paths whose length is less than three are removed. The datasets are categorized into two kinds regarding dimensionality: small instances, each of which has between 50 and 2000 vertices, and large instances, each of which has over 2000 vertices.

+ Filename idpc_<number of nodes>_<number of domain>_<number of edges>.idpc

First line of a file constains two intergers N and D, which are number of nodes and number of domains, respectively.
Second line contains two integers s and t, which are the source node and terminal node.
Every next line contains four integers u, v, w, d, represents an edge (u,v) has weight w and belong to domain d.
DOI: 10.17632/ygp5xthhfc.1
title: research data1

description: No
DOI: 10.17632/23cwpcdhnx.1
title: Spatio-temporal Tracing of the Cellular Internalization Process of Rod-shaped Nanostructures

description: Molecular dynamics simulations
DOI: 10.17632/jnhhh4v9zm.5
title: Multi-omics data integration provides insights into the post-harvest biology of a long shelf-life tomato landrace

description: In this study we investigated the transcriptome and epigenome dynamics of the tomato fruit during post-harvest in ‘Lucariello’. ‘Lucariello’ belongs to a group of landraces collectively known as ‘Piennolo del Vesuvio’. This dataset includes:
- RPKM expression values from three post-harvest stages of Lucariello fruits, time points RD0, RD60 and RD150. Each group has three biological replicates. The listed loci are from the Lucariello reference genome
- Raw expression counts of miRNA from the same samples
- DNA gene methylation levels from the same samples, divided for CG, CHG and CHH context
- ChIP-seq peaks for H3K4me3, H3K9K14ac, H3K27me3 from the same samples, two biological replicates
- Supplementary tables described in the main manuscript providing lists of Differentially Methylated Regions (DMR) and Differentially Expressed Genes (DEGs) across the different time points
DOI: 10.17632/ynz5cpzctw.1
title: Multiple Logistic Regression Based Prediction of Heat Flow Direction in an Intake Incline of Shallow Depth by Integrating Thermal Flywheel Effect: A Case Study 

description: Supplementary Information for Multiple Logistic Regression Based Prediction of Heat Flow Direction in an Intake Incline of Shallow Depth by Integrating Thermal Flywheel Effect: A Case Study
DOI: 10.17632/y85bmhrtjm.1
title: Dystonia or Dyskinesia Induced by Optogenetic Stimulation of Parafascicular Nucleus of Rat

description: Dyskinesia is a neurological disorder characterized by involuntary movement of the body due to the abnormal function of the basal ganglia, and the basal ganglia circuit is the target of treatment of this disease. The parafascicular nucleus (PF) plays pivotal roles in controlling of the basal ganglia, but it is not well known how PF affects the development of dyskinesia. Animal models of dyskinesia currently available have not linked to clinical study of treatment of dyskinesia. The reason of this discordance is absence of proper animal model suitable for integrative aspect of dyskinesia. This study was designed to develop an animal model of dyskinesia that is reversibly controllable by stimulating the PF using optogenetics. Fourteen animals were underwent stereotactic operation injecting a virus vector “AAV2−hSyn−ChR2−mCherry” to the lateral one third of the PF. Baseline and post-stimulation behavior test was done. As results, dyskinesias were found in 7 animals. Dyskinesia scores were significant increased after light stimulation compared to baseline. In rats with dyskinesia, it was confirmed that the mCherry was expressed in the PF, while the rats without dyskinesia did not present mCherry. In conclusion, it was found that dyskinesia could be reversibly induced when the PF was stimulated using an optogenetic method.
DOI: 10.17632/hs283wnz4x.1
title: Reinforcing Communication skills using Augmented Reality in the online Language Classroom: An Experimental study amongst STEAM learners’

description: Augmented reality has been used as an additional tool in L2 online classroom amongst STEAM (Science, Technology, Engineering, the Arts and Mathematics) education learners' - An Experimental study. Pre-Test and Post-test were conducted for controlled group and experimental group.
DOI: 10.17632/mpkdmfdb8m.1
title: Raster dataset on the area, volume and population of structures in Denmark at ten by ten-meter resolution January 2021.

description: Structural characteristics in a 10 by 10 meter resolution over Denmark. Data collected in January 2021.

Contains three rasters over Denmark. 
    - Area of human-made structures
    - Volume of human-made structures
    - Number of inhabitants pixel pixel inside human-made structures

The data was gathered publicly available data. The source data is:
    - GeoDenmark Building Footprints
    - DAGI Danish Administrative boundaries
    - Danish Population Statistics at parish level
    - Danish National Terrain models, surface and terrain
    - National Address API for address access points

The data does not cover the Island of Bornholm.
DOI: 10.17632/8xbrd3g4by.1
title: COVID-19 BR T1

description: This dataset's answers referes to 386 employees (fixed employees and public servants), both genders. We have information about marital status, level of education, income and also questions to better understand how populous the teleworking was, considering the first pandemic pick. It means that data was collected between May and July/2020. About the constructs, we publish in this database the follow constructs.
- Work as Meaning Inventory WAMI: is a 10-item measure assessing search for Greater Good Motivation (3 items; e.g. My work helps me make sense of the world around me), positive meaning (4 items; e.g. I have found a meaningful career”) and contribution to meaning-making (3 items; e.g. I view my work as contributing to my personal growth”). The items of the inventory are rated from 1 (absolutely untrue) to 5 (absolutely true);
- Performance. Short Version of General Self-Assessment Scale of Job Performance has 10 items to measure Task and Context performance (e.g. I take initiatives to improve my results at work). Items are rated from 1 (absolutely false) to 5 (absolutely true).
- I- deal. The HR flexibility and development i-deal is a measure with 6 items (HR i-deal e.g. I try to negotiate my job conditions with the company). We use the scale is a single factor just considering flexibility aspect. Items rated from 1 (Never) to 5 (Always). 
- Recovery Experience Questionnaire is composed of four types of recovery experience (psychological detachment, relaxation, mastery and control). We reduce 1 item of each scale based on the factor loading. Participants indicated on a 5-point scale (1 = never to 5 = always) the extent to which each recovery experience was  de-scribing the psychological detachment (3-item), relaxation (3-item), mastery (3-item), and control (3-item)..
We keep in this database all the factors about the constructs measured and also the clusters we found considering Belasos Model. All these information was collected in a second moment (T2 281_COVID-19 BR.csv)