cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7by2533r67.1
title: Comparison of dermal and eschar fibroblasts in engineered skin equivalents

description: Deep dermal injuries, like burns, often heal with (hypertrophic) scar formation. Dermal fibroblasts play an important role in the wound healing process. Fibroblasts derived from burnt tissue (eschar) have different characteristics then healthy dermal fibroblasts. In this study, human dermal fibroblasts were isolated from healthy skin and burnt tissue (eschar) from 10 patients. Fibroblasts were cultured to P2 and RNA was isolated for microarray analysis using an Agilent Human 44k array. Results of the array was analyzed using R to create a dataset which compared the expression between dermal and eschar derived fibroblasts. In addition, gene-expression data was coupled to the KEGG-pathway database to explore the differences and identify the significantly altered pathways. Furthermore, full-skin equivalents (FSE) were produced with human primary keratinocytes and dermal or eschar fibroblasts using collagen-elastin scaffolds. RNA was isolated from these FSE's and qPCR was performed on the synthesized cDNA. A volcano-plot was generated to reveal significantly up and downregulated genes from the micro-array data. For the FSE data, qPCR was performed on a selection of genes based on the microarray. A full description of the data and findings can be found in the corresponding manuscript.
DOI: 10.17632/cwxdmk8zhz.1
title: Freshness Classification of Raddish Dataset

description: This dataset has raddish images taken at 3 different times of day of five samples of raddish. This was done for total of 24 days and a total of 360 images were gathered. The texture, shape and colour was also measured and given a rating out of 10. This all were done and documented in an excel file (included).
DOI: 10.17632/xcrk76tspn.1
title: Sustainable Development, Economic Policy Uncertainty and Tax Risk

description: ESG performance data are from the Bloomberg database, whereas tax risk composition data and other financial data were obtained from the China Stock Market and Accounting Research database. The EPU data were obtained from the China Economic Policy Uncertainty Index compiled by Huang and Luk (2020) based on 114 mainland newspapers in China. 
The initial data were processed as follows: (1) samples from the financial industry were removed due to the particularity of financial statement calculations in the financial industry; (2) listed companies of Special Treatment during the sample period were removed to reduce the impact of abnormal values; (3) samples with missing data were removed; and (4) the continuous variables were winsorized at the 1% and 99% levels to eliminate the influence of outliers. Ultimately, we obtained 13,472 firm-year observations.
DOI: 10.17632/5fjtz8rvdr.1
title: Laboratory Shear building model assembling and experimentation (Kumar Anjneya & Koushik Roy)

description: The video describes the model assembling and experimentation of a six-storey three-dimensional miniature model (scale 1:20) of shear building. The experimental setup is located at Structural health monitoring lab, Block VI, Department of Civil and Environmental engineering, Indian Institute of technology (IIT), Patna, Bihar, India. The experiment was conducted by Kumar Anjneya, currently a research Scholar at Indian Institute of technology (IIT), Kharagpur, India. The video was recorded by Eshwar Kuncham.
DOI: 10.17632/8jkmdxmfbd.1
title: Data for: Sustainability and Governance. Modelling boundary objects in environmental research

description: Data uploaded here includes: - the full database of the 7.358 documents composing our corpus (downloaded on August, the 1st, 2018, from Web of Science) - the phi matrix derived from our topic modelling algorithm, or topic-word matrix - the theta matrix derived from our topic modelling algorithm, or topic-document matrix
DOI: 10.17632/8nb4cdwc9h.1
title: SDN-DDOS-TCP-SYN DATASET

description: The dataset has been created by performing TCP-SYN Flood attack. The Dataset contains 28 columns and 10,47,500 rows.
DOI: 10.17632/jtmk3pg36k.1
title: Boundary conditions of an experimental test bench to numerically investigate flame wall interactions using CFD

description: The data provides boundary conditions to numerically investigate the flame wall interactions of an experimental test bench at the Bundeswehr University of Munich. To fully describe the boundary conditions three data sets are available. 
The first data set contains the mainflow boundary conditions of the test section upstream of the fuel injectors. The velocity and RMS-velocity fields are provided. The Large-Eddy-Simulations (LES) capability of  ANSYS Fluent was used to create this dataset. The second data set describes the exit boundary conditions of the fuel injector into the test section at a momentum ratio of I = 10. Methane was used as fuel.  LES by using the open source package OpenFOAM were applied for the data creation. The third data set describes the temperature distribution at the test section's wall. The data was derived from signals of wall-embedded thermocouples by using MATLAB and COMSOL and by running the inverse heat conduction method.
DOI: 10.17632/n4fhvswczf.1
title: Dataset: Intensity of E' and peroxy paramagnetic centres in Central Asian fine-grained quartz

description: This dataset is part of the publication: A novel proxy for tracking the provenance of dust based on paired E1’-peroxy paramagnetic defect centres in fine-grained quartz (Dave et al. 2022) published in Geophysical Research Letters.
DOI: 10.17632/pw53zrmrg8.1
title: Data for: Investigating the Relationship between RPN Parameters in Fuzzy PFMEA and OEE in a Sugar Factory

description: The results of the research showed a negative correlation between OEE and RPN
DOI: 10.17632/23tkrk7h4z.1
title: Malaysian Medicinal Leaf Images

description: Leaf images sample for Malaysian Medicinal Plant classification. Previous study using this dataset are using randomly selected training (45 images) and testing (20 images). Images are pre-processed and numeric values using shape-based features are extracted. Preliminary study using several classifiers such as SMO, J48, NB, k-NN and Random Forest show that SMO produced 50% accuracy.

Citation Request
Sainin, M. S., & Alfred, R., & Ahmad, F. (2021). Ensemble meta classifier with sampling and feature selection for data with imbalance multiclass problem. Journal of Information and Communication Technology, 20(2), 103-133. https://doi.org/10.32890/jict2021.20.2.1
DOI: 10.17632/72hn6tz2xp
title: Family positive communication Analysis Output

description: The Analysis of Dyadic Data of Family Positive Communication
DOI: 10.17632/mjrw5v7gp3.1
title: Data for: "Examining the extent of compliance on combined assurance reporting quality: Evidence from Namibian state-owned enterprises” published by RAC-Revista de Administração Contemporânea

description: The annual/integrated reports data are publicly available.
DOI: 10.17632/xt866zxsbc.1
title: GAN-Generated Face Features Dataset based on Cross-Band Co-occurrences

description: Last-generation GAN models allow generating synthetic images that are visually indistinguishable from natural ones, raising the need to develop tools to distinguish fake and natural images thus contributing to preserving the trustworthiness of digital images. One method recently used for distinguishing GAN-generated from natural images by exploiting inconsistencies among spectral bands, with a specific focus on the generation of synthetic face images. The dataset consists of cross-band co-occurrence matrices, in addition to spatial co-occurrence matrices and without a cross band. If you use a dataset and code please use one of the following corresponding citation (https://arxiv.org/abs/2007.12909).
DOI: 10.17632/2rsp8nckrp.1
title: Arginine vasopressin and Angiotensin II coregulate Aquaporin2 expression in M-1 Cells

description: Original data related to the paper
DOI: 10.17632/zmwyjs222s.2
title: Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Eastern Canadian Arctic and Sub-Arctic Regions

description: Species distribution modelling (SDM) is a tool that utilizes the relationship between a species and its environment in known (sampled) locations to predict the species’ distribution in unsampled areas. Environmental data are typically collected at different spatial and temporal scales and often require spatial interpolation between data points to provide a continuous surface required by the modelling application. Here we provide detailed information on 111 environmental data layers collected over different spatial scales and temporal resolutions and interpolated using a geospatial method to provide continuous data surfaces for the Eastern Canadian Arctic and Sub-Arctic. Variables were obtained from a broad range of physical and biological data sources and spatially interpolated using ordinary kriging. For each environmental variable we show the distributional properties of the raw data prior to spatial interpolation, model performance indicators and assessment of model performance, and finally, maps of the prediction standard error and interpolation prediction surfaces. These layers have been archived in a common (raster) format at the Bedford Institute of Oceanography to facilitate future use. A subset of these variables has already been used in a conservation management application to identify deep-water coral and sponge Significant Benthic Areas in the Eastern Canadian Arctic.
DOI: 10.17632/gcts3dddrh.1
title: Data set on the accurate continuous observations of atmospheric CO2, CH4 dry mole fractions in the western Taimyr Peninsula (Siberia) for the period 09.2018 - 01.2021

description: Atmospheric observations of sources and sinks of carbon dioxide (CO2) and methane (CH4) in the pan-Arctic domain are highly sporadic, limiting our understanding of carbon turnover in this climatically sensitive environment and a fate of enormous carbon reservoirs buried in permafrost. Particular gaps apply to the arctic latitudes of Siberia, covered by the vast tundra ecosystems underlain by permafrost, where only several atmospheric sites are available. The data set contains the time series of the quality controlled (QC) hourly afternoon (1-4 pm of local time (GMT+7)) averages of atmospheric CO2 and CH4 dry mole fractions measured with a CRDS analyzer Picarro G2301-f at 35 m a.s.l. in the western Taimyr Peninsula (Siberia). Meteorological variables (air temperature, relative humidity, precipitation amount, wind) for the same period of observations permit screening of trace gas data series. The data set covers the period from September 2018 to January 2021 with a nearly 4-month break (November 13, 2018 - February 22, 2019) due to technical failure when both trace gas and meteorological records are missing.
DOI: 10.17632/jbks2rcwyj.3
title: Residential electric vehicle charging datasets from apartment buildings

description: The reported datasets deal with residential electric vehicle (EV) charging in apartment buildings. The datasets are described in the Data In Brief article "Residential electric vehicle charging datasets from apartment buildings" (2021, https://doi.org/10.1016/j.dib.2021.107105), and refers to the paper "Analysis of residential EV energy flexibility potential based on real-world charging reports and smart meter data" (https://doi.org/10.1016/j.enbuild.2021.110923).
DOI: 10.17632/r7tyk57m97.1
title: Data for: Ant biodiversity and ecosystem services in bioenergy landscapes

description: Data associated with the paper "Ant biodiversity and ecosystem services in bioenergy landscapes" by JA Helms, S Ijelu, BD Wills, DA Landis, and NM Haddad. Contains data about pitfall trap effort, ants collected in traps, and pest insect mortality across three bioenergy experiments at KBS LTER.
DOI: 10.17632/jyyny932fp.2
title: Sedimentation rate, TOC, XRF, Pulleniatina obliquiloculata abundance, BFAR, benthic foraminifera assemblages and bottom - pore water oxygenation benthic foraminfiera transfer function from sediment core MD18-3523, east of Taiwan, over the last 19 kyr

description: Sediment core MD18-3523 was collected on a levee of the Hoping Canyon (2972 m water depth), east of Taiwan, during the Franco-Taiwanese oceanographic cruise EAGER, in summer 2018.
The data were used for the article: Fenies, P., Bassetti, M.-A., Riveiros, N.V., Ho, S.L., Chang, Y.-P., Löwemark, L., Bretonnière, F., Babonneau, N., Ratzov, G., Hsu, S.-K., Su, C.-C., 2024. Changes in the particulate organic carbon pump efficiency since the Last Glacial Maximum in the northwestern Philippine Sea. Quaternary Science Advances 100223. https://doi.org/10.1016/j.qsa.2024.100223

This paleoceanographic dataset includes :

 Linear sedimentation rates between radiocarbon dates reconstructed using Oxcal software
 XRF data for the elements Manganese (Mn), Iron (Fe), Bromine (Br), Titanium (Ti) and Potassium (K) in counts per second (cps). Measurements were taken using an ITRAX core scanner.
 Total organic carbon (TOC) concentration in percent (%) using a Thermo Flash 2000 elemental analyzer.
 The relative abundance of the planktonic foraminifera Pulleniatina obliquiloculata in percent (%).
 Benthic foraminifera accumulation rate (BFAR; ind g-1 cm-2 kyr-1).
 A table of all benthic foraminifera taxa identified, with the number of individuals and relative abundance of each taxa.
 The relative abundance of the different biofacies (31 taxa with abundance greater than 5% in at least two samples).
 Bottom - pore water dissolved oxygen concentration reconstructed using benthic foraminiferal transfer functions: Enhanced Benthic Foraminifera Index (EBFOI; Kranner et al., 2022) and Benthic Foraminifera Assemblage (BFA; Tetard et al., 2021). The terms “EBFOI_31” and “BFA_31” indicate the use in the transfer functions of the 31 taxa with an abundance greater than 5% in at least two samples. The terms “EBFOI_27” and “BFA_27” indicate the use in transfer functions of 27 taxa with abundance greater than 5% in at least two samples, taxa that may originate from a bathymetric zone shallower than the sediment core location have been removed from the equations.
DOI: 10.17632/cm36ddzw8s.1
title: Data for: Concurrent and longitudinal dyadic polynomial regression analyses of Big Five traits, self-esteem, goals, and relationship satisfaction: Does similarity matter?

description: couple data on Big FIve traits and relationship satisfaction
DOI: 10.17632/g6m3pbh5kw.1
title: PPGEN-SILVA2020

description: The PPGEN-SILVA2020-csv.rar compressed folder contains 20 files in CSV format. Each file contains samples of voltage (column 1, leftmost) and current (column 2) generated by a photovoltaic string (PV) consisting of six solar panels in each of the following operating conditions: - Standard; - Full shading on panel 1; - Full shading on panel 2; - Full shading on panel 3; - Full shading on panel 4; - Full shading on panel 5; - Full shading on panel 6; - Partial shading of panel 1; - Partial shading of panel 2; - Partial shading of panel 3; - Partial shading of panel 4; - Partial shading of panel 5; - Partial shading of panel 6; - Short-circuit of panel 1; - Short-circuit of panel 2; - Short-circuit of panel 3; - Short-circuit of panel 4; - Short-circuit of panel 5; - Short-circuit of panel 6; - Electric arc. The files also contain solar irradiation (column 3) and ambient temperature (column 4) in the PV string's vicinity. Each file line represents a sample of the respective operational condition. Samples were obtained at a sampling rate of 100 kilo-samples per second, in 99.96 ms acquisition windows per PV string operation condition, generating 9,960 samples per string operation condition per collection cycle. The collection cycle implies a data acquisition window for each of the 20 operating conditions. This data collection cycle was repeated 220 times for 21 days, and at different times of the day. According to the processing architecture adopted, up to 9,960 samples can be taken as an example (or case). Initially, 1666 continuous samples were taken as an example of a specific photovoltaic string operating condition, allowing the separation of six examples per collection cycle. The compressed folder PPGEN-SILVA2020-bin.rar contains the same dataset represented in the float32 binary format..
DOI: 10.17632/62s536jngt.2
title: Source Data and Statistics for Zimmermann et al, 2021

description: Source Data and Statistics for the manuscript 'Tsa1 is the dominant peroxide scavenger and a major source of H2O2-dependent GSSG production in yeast' currently submitted to Redox Biology journal.
DOI: 10.17632/4r8jy7xht2.1
title: Protocol for assessing neighborhood physical disorder using the YOLOv8 deep learning mode

description: These compressed files contain the Python code and models mentioned in the paper "Protocol for Evaluating Neighborhood Physical Disorder Incorporating Multiple Street View Sources." The paper provides detailed steps for neighborhood physical disorder assessment using multiple data sources (commercial street views, self-collected street views).

Code:
Includes Python computational code related to the steps mentioned in the paper.

YOLOv8 Model:
This is a Python implementation of the YOLOv8 architecture, including trained models for prediction.
DOI: 10.17632/fkgf3fwnpz.1
title: Data set on Impact of COVID-19 on Mental Health of Internal Migrant Workers in India: Corona Virus Anxiety Scale (CAS) Approach

description: India has witnessed a dramatic shift in the movement of workers within the nation. There are more than 100 million migrant workers in different Industries according to official employment estimation. Migrant workers employed in informal sectors mostly engage in temporary, unskilled work, characterized by low wages, job insecurity, and economic vulnerability, which are peculiar characteristics of informal work environments (Atnafu, 2014)They are exposed to experience multiple psychological disorders like anxiety and depression due to cultural differences in migrated states, loss of social network, identity crises and lack of access to public health care facilities in addition to other problems like malnutrition and acute poverty. COVID 19 has worsened the problem of migrant workers with increased rates of anxiety, stress, and distress psychiatric conditions. With the lockdown and travel restrictions, many groups of stranded laborers were struggling to reach their hometowns. Migrant workers were identified as the most vulnerable group to the risk of catching the COVID- 19 infections. This has added to their mental health issues. With the focus on migrant workers as the subject of investigation, this data set is aimed at enhancing the knowledge of the users of the data on the impact of the pandemic on the mental health issues of the internal migrant workers. Our survey probes into the psychiatric issues that migrant works face and trauma that they underwent during the pandemic using Corona Virus Anxiety Scale (CAS) which was originally developed by Lee in the year 2019. The scale uses four dimensions namely Cognitive, Emotional, Behavioural, and Psychological. The data was constructed with the help interview schedule which was developed by employing Corona Virus Anxiety Scale (CAS). We have developed this data out of 1350 valid responses elicited through the telephonic interview. The data were collected from June to August 2020 which is considered to be the peak pandemic period. We consider the period was crucial since it was characterized by the uncertain atmosphere with job markets badly hit and workers having the fear of reintroducing travel restriction being imposed by the government. Thus the data provides insights and guidance for the interested researchers to carry our related studies on the mental health of vulnerable groups like migrant workers. The data would also enable researchers and academicians to investigate the impact of such pandemic and uncertain events on the mental health of vulnerable groups. This data would enable the researcher to understand the possible adverse impacts on the anxiety levels of the dispersed population of migrant workers.
DOI: 10.17632/7z2n5fsjbr.1
title: Data for: Selective inhibition of progesterone in osteochondral progenitor cells, but not in mature chondrocytes, modulated subchondral bone structures

description: Selective inhibition of progesterone receptor in osteochondral progenitor cells, but not in mature chondrocytes, modulated subchondral bone structures
DOI: 10.17632/c4rn7mtfrf.1
title: Energy Prediction

description: Dataset Name: PV Yield Forecasting Data Set Data Format: The dataset is provided in CSV format, consisting of time-stamped records. Features: Time Series Data: Date and time stamps for each record, ranging from 1990 Jan to 2014 Dec. PV Output Readings: Measurements of Photovoltaic output in kWh. Environmental Factors: Includes solar irradiance, temperature, humidity, and cloud cover. Processed Features: Data columns processed for XGBoost and LSTM models, including seasonal components. Time Range and Frequency: Data spans from 1990 to 2014, with hourly recording frequency. Pre-processing and Cleaning: The dataset has been pre-processed for anomalies and missing values, and features have been selected and cleaned for optimal model input. Purpose: This data is used to develop and test a novel forecasting framework combining XGBoost, time series decomposition, and LSTM for both short and long-term solar yield predictions. Performance Metrics: Includes columns for prediction accuracy, nRMSE values for the developed framework, and comparison with benchmark models. Comparative Model Data: Results from LSTM, FRNN, NNE, and other models for comparative analysis. Dataset Size and Scope: Contains approximately [X million] records, covering various geographical locations and types of PV plants. Additional Notes: This dataset is part of a comprehensive study aiming to enhance the integration of PV plant output with the main power grid, as detailed in our research paper.