cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f3zz8s6fdz
title: Path towards decarbonization - The role of hydropower in the generation mix: Datasets and supplementary material

description: The dataset refers to the paper "Path towards decarbonization: The role of hydropower in the generation mix" and contains two folders. 
In the folder "Research Data" all relevant input data used in the simulations are reported in excel format, namely hourly production coefficients of photovoltaic and wind, hourly load demand and hourly lateral inflows of the equivalent hydro dam. All data refer to the time period 2016-2019.
In the folder "Supplementary Material" there are two files. The .pdf file "Optimization_Model_Formulation" contains all equations of the optimization model and the relevant explanations. The .xlsx file "Results_of_simulations" contains all the results of the parametric study described in the paper.
DOI: 10.17632/rxnj476rg5
title: Government assistance for exporting firms in Indonesia

description: This dataset includes 204 exporting firms in Indonesia. Under a resource-based view (RBV) approach, the dataset includes four dimensions of government export assistance through EPP (information, education and training, trade mobility, and financing), three dimensions of organisational resources (managerial, production and R&D, and intellectual), three dimensions related to organisational capabilities (business opportunity identification, relationship building, and innovation), four dimensions related to export marketing strategies (products, prices, distributions, and promotions), three dimensions related to export competitiveness (costs, products, and services), and two dimensions related to export performance (overseas market size and export financial performance). Additionally, firm-level characteristics are included (e.g., firm size, age, location, sector), organisational characteristics (labour intensity, export units), strategic features (partnerships, logistics, and legal support), and market orientation (type of exported goods and export markets). The dataset includes obstacles faced by firms across different dimensions and critical attributes in the different sub-components that integrate each dimension.

The raw data were collected through a web-based survey targeting managers of exporting firms in Indonesia. The survey link and invitation were distributed via email and WhatsApp to more than 2,000 exporter firms obtained from government and public directories. Two hundred and four surveys were completed. Incomplete cases were eliminated.
DOI: 10.6084/m9.figshare.22344571.v1
title: Monolayer data for heterostructure

description: from jarvis.db.jsonutils import loadjson d=loadjson('monolayer_data.json') import pandas as pd df=pd.DataFrame(d) print (df) phi atoms jid 0 {'nelect': 48, 'phi': 4.73414095269429, 'scf_v... {'lattice_mat': [[3.353617811446221, 0.0, 0.0]... JVASP-677 1 {'nelect': 48, 'phi': 4.530152088053274, 'scf_... {'lattice_mat': [[3.4519950338496734, 0.0, 0.0... JVASP-675 2 {'nelect': 48, 'phi': 4.842575064739249, 'scf_... {'lattice_mat': [[3.4778329262343175, 0.0, 0.0... JVASP-676 3 {'nelect': 49, 'phi': 4.152692578895887, 'scf_... {'lattice_mat': [[4.389372163294263, 0.0, 0.0]... JVASP-6835 4 {'nelect': 38, 'phi': 4.8566275698291665, 'scf... {'lattice_mat': [[4.111785578032976, 0.0, 0.0]... JVASP-6838 ... ... ... ... 1100 {'nelect': 66, 'phi': 6.835065568894292, 'scf_... {'lattice_mat': [[5.048591416059411, 0.0, -0.0... JVASP-75420 1101 {'nelect': 114, 'phi': 5.9478129766546095, 'sc... {'lattice_mat': [[3.934471688974004, 0.0, 0.0]... JVASP-75426 1102 {'nelect': 116, 'phi': 5.39584804845677, 'scf_... {'lattice_mat': [[3.9528292753768177, 0.0, 0.0... JVASP-75427 1103 {'nelect': 66, 'phi': 5.454720049299169, 'scf_... {'lattice_mat': [[6.8978373665407995, 0.003250... JVASP-76195 1104 {'nelect': 72, 'phi': 6.019888082326117, 'scf_... {'lattice_mat': [[5.549373162856539, -3.478901... JVASP-68932 <br> [1105 rows x 3 columns]
DOI: 10.17632/vmmyw7vmbd
title: GOM simulation results for the Texas coasts

description: We developed a new 3D ocean circulation model, the General Ocean Model (GOM), and applied it to the Texas coast. This is the model simulation results for a one-month simulation (July 2017). The comma-separated values file, *.csv, is the corresponding NOAA's measured water surface elevation data at twelve tide stations.
DOI: 10.17632/53fxdzggpk
title: DESIGN FILES - PORTABLE PRESSURE CHAMBER FOR DIGITAL MONITORING OF LEAF WATER POTENTIAL

description: Project file 1: Detailed three-dimensional drawing of the pressure chamber and image receiver (smartphone) with the components assembled.
DOI: 10.6084/m9.figshare.19722328.v2
title: Data FM Cuttlefish

description: 15 subadult cuttlefish were tested in a false memory experiment, in three different conditions (visual misleading V, olfactory & visual misleading OV, non-misleading N). Three different tubes with random patterns were used, presented in a random order and position.
DOI: 10.6084/m9.figshare.7725374.v1
title: Public health facilities in sub Saharan Africa

description: The first spatial inventory of public health facilities in sub Saharan Africa covering 49 countries assembled from multiple sources.
DOI: 10.17632/k26f8rh58k
title: Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions

description: This data accompanies the paper Rohde KIM, Van Ourti T, Soebhag A (2023). "Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions", Journal of Health Economics, DOI: 10.1016/j.jhealeco.2023.102773. This paper runs a lab experiment in order to study the appeal of basic preference conditions that underpin health inequality indices, including the widely used concentration index. We provide the data and code that allow for replication of the results in the paper. The file Readmefirst.pdf provides more details of the raw source data Final_Data.xlsx. The file replication.do can be run in STATA and replicates all results presented in the paper. Please let us know if you intend to use our data or STATA code.
DOI: 10.17632/x7mr5h6s3s
title: AAD 2024 Abstract #53313 References

description: References for Abstract #53313 Poster and Presentation
DOI: 10.17632/xvtw7gmhzx
title: Intraretinal vs ONI_Retinoblastoma

description: We conducted a spatial proteomic analysis to delineate the heterogeneity within retinoblastoma samples exhibiting optic nerve invasion, comparing optic nerve invasion (ONI) group and intraretinal group.The attached files present the differentially expressed genes obtained via t-test analysis between two groups, along with differentially expressed proteins identified through Mfuzz clustering and KEGG pathway analysis.
DOI: 10.6084/m9.figshare.28830428.v1
title: Source data for "Ferroelastic writing of crystal directions in oxide thin films"

description: These are the source data for the paper "Ferroelastic writing of crystal directions in oxide thin films".
DOI: 10.17632/kb42z77m2g
title: EmpaticaE4Stress

description: The proposed data repository is organized as follows: a folder called “Subjects” in which there are 29 folders, one for each subject named “subject_xx” where xx is an increasing number ID. In each folder, there are six .csv file with all the data recorded by Empatica E4. Specifically: Blood Volume Pressure (BVP), Electrodermal Activity (EDA), Body Temperature (TEMP), Heart rate (HR), Inter-beat interval (IBI), Accelerometer data (ACC).
DOI: 10.17632/rvnk26krjs
title: Geological and geophysical data compilation for the western Wabigoon and southern Abitibi subprovinces of the Superior Province, Ontario, Canada

description: Geological layers representing geological observations (e.g., structural measurements, mineral occurrences) and interpretations (e.g., faults traces, map units) for and Archean greenstone belt near Dryden and Timmins, Ontario, Canada in the geological Superior Province. Newly interpreted layers such as lithology polygons (‘MapUnits’) and structural traces (‘Geolines’) are included as ESRI shapefiles. Two geophysical datasets are provided, including a database of new magnetic susceptibility measurements from 2018 and 2019 field seasons near Dryden, Ontario. Additionally, an ensemble of reprocessed aeromagnetic grids (40 m by 40 m cell size) from the Ontario Geological Survey’s (2011) geophysical survey datasets are included as projected geo .tiff and .grd files. The ensemble includes total magnetic intensity with cosine roll off filtering, first vertical derivative, second vertical derivative, tilt derivative, and dynamic range compression. Hill-shaded relief grids are also included, and their azimuth and angle of incidence are indicated in their filename.
DOI: 10.17632/t2bdr663ms
title: QR-DN1.0: A new Distorted and Noisy QRs dataset

description: Barcodes are playing a significant role in different industries in the recent years and among the two most popular 2D barcodes, the QR code has grown exponentially. The QR-DN1.0 dataset includes 5 categories of QR codes that will cover low to high density levels. Each group has 15 QR codes: 5 images for testing and 10 images for training. After embedding the QRs into 30 color images using blind watermarking techniques and then extracting the QRs from the images taken with the mobile phone camera with three different methods, we will have three groups of 2250 extracted QR images, which provides a total of 6750 distorted and noisy QR images. In each of the mentioned three categories, the data is divided into two parts: testing, with 750 images, and training, with 2250 images. For every distorted QR in the dataset, a non-distorted instance of it is placed as a ground truth. One of the advantages of this data set is that it is real. Because no simulated noise has been added to the images and this dataset is completely derived from the real word challenge of extracting embedded QRs in color images captured from the watermarked image on the screen. It also includes various types of QRs such as single character, short sentence, long sentence, URL and location.
DOI: 10.17632/w2v6xhhsxm
title: A high-quality hourly, daily and monthly solar irradiance dataset in China during 1981-2014 based on MERRA-2 Reanalysis products

description: A high-quality hourly, daily and monthly solar irradiance dataset in China during 1981-2014 based on MERRA-2 Reanalysis products Wenmin Qin1, Lunche Wang1, Ming Zhang1, Lan Feng1, Yulong Zhong1, Qiqi Zhu1，Hejin Fang1, Hong Cai1, Chao Yang2 1Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China; 2 Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China; Corresponding author: Wenmin Qin, Hubei Key Laboratory of Critical Zone Evolution, School of Geography and Information Engineering, China University of Geosciences, Lumo road 388, Hongshan District, Wuhan 430074, China; Tel.: +86 18163315797; E-mail: qinwenmin@cug.edu.cn. Abstract: Solar irradiance (SI) is the main driving factor contributing to climate change and energy balance between the land and atmosphere. High-quality records of global solar irradiance (GHI), direct normal irradiance (DNI) and diffuse solar irradiance (DIF) are of vital importance for solar applications, but the solar radiation observations are sparse around the world. As an alternative, numerous SI reanalysis data in grid format have been developed in regional and global scales. Among them, the MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications, version 2) products could provide high quality SI records with acceptable accuracy and long temporal ranges. This study attempted to improve the accuracy of GHI records derived from MERRA-2 products, and to generate grid DNI and DIF datasets for all-sky conditions over mainland China during 1981-2014, based on the REST2 model and cloud transmittance estimates combining sunshine observations. The results indicate that the estimated GHI values (GHInew) show higher agreements with GHI measurement at 17 CMA (China meteorological administrations) stations than that for the GHI records derived from MERRA-2 products (MERRA-2 GHI). Then, grid GHI, DNI and DIF datasets (0.50° (lat) *0.625° (lon)) throughout China were constructed. The results indicated that the MERRA-2 GHI records may overestimate the GHI values over mainland China. The grid GHI, DNI and DIF dataset generated in this study can assist in numerous solar studies and applications.
DOI: 10.6084/m9.figshare.21440490.v2
title: Rehearsal_032722.mat

description: Data from the reherarsal done on 03/27/22
DOI: 10.6084/m9.figshare.7177853.v3
title: Data_Flupyradifurone, Imidacloprid and Honeybee Motor Ability_Hesselbach&Scheiner.xlsx

description: Recorded behaviours after single and continous treatment of honeybees with flupyradifurone respectively imidacloprid.
DOI: 10.17632/ccj4trmsxc
title: HIV integration in the human brain is linked to microglial activation and 3D genome remodeling

description: R script for analysis of IS-seq data
DOI: 10.17632/pcmvdsj5yp
title: Dataset for Measuring Indonesian Teachers’ Experience in Implementing TPACK between Digital Immigrant and Digital Native Teachers

description: The data was carried out among in-service teachers in Indonesia, assessing gender, age, grade level of teaching, education degree, teacher’s characteristics regarding digital native and digital immigrant, and TPACK. 204 respondents from 51 cities and 9 provinces was invited to full filled online survei via Google Form.
DOI: 10.17632/h8vky97ncg
title: ComDMFT: A massively parallel computer package for the electronic structure of correlated-electron systems

description: ComDMFT is a massively parallel computational package to study the electronic structure of correlated-electron systems (CES). Our approach is a parameter-free method based on ab initio linearized quasiparticle self-consistent GW (LQSGW) and dynamical mean field theory (DMFT). The non-local part of the electronic self-energy is treated within ab initio LQSGW and the local strong correlation is treated within DMFT. In addition to ab initio LQSGW+DMFT, charge self-consistent LDA+DMFT methodology is also implemented, enabling multiple methods in one open-source platform for the electronic structure of CES. This package can be extended for future developments to implement other methodologies to treat CES.
DOI: 10.17632/pwhyw4nv3y
title: The Stealth Erosion of Dollar Dominance and the Rise of Nontraditional Reserve Currencies

description: Contains the Stata datasets and codes used to produce the regression tables in the paper "The Stealth Erosion of Dollar Dominance and the Rise of Nontraditional Reserve Currencies"
DOI: 10.17632/kydkgy2d9y
title: Source data of "In situ identification of intracellular glycoRNAs"

description: Source data from Figures 2B-D, 4C-E, 6B-E, S8-S12, S17-S23, and S27-S34.
DOI: 10.17632/rbkc959m7b
title: Replication Data and Codes for "Total Factor Productivity Growth at the Firm-Level: The Effects of Capital Account Liberalization"

description: Replication Data and Codes for "Total Factor Productivity Growth at the Firm-Level: The Effects of Capital Account Liberalization" written by Xiang Li and Dan Su
DOI: 10.6084/m9.figshare.22352644.v1
title: Supplementary Material for: A 7-day decitabine included conditioning regimen accelerated donor hematopoietic engraftment while reduced the occurrence of mucositis without interfering with prognosis

description: Introduction: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the standard and curative treatment strategy for patients with hematologic malignancies. Recently, decitabine included regimens are investigated by several studies including ours, which may prevent relapse of primary malignant diseases. Methods: This study was to retrospectively evaluate a 7-day decitabine included regimen with reduced dose of idarubicin for patients with hematologic malignancies who underwent allo-HSCT. Results: A total of 84 patients were enrolled, including 24 cases in 7-day and 60 cases in 5-day decitabine groups, respectively. Patients conditioned with 7-day decitabine regimen showed accelerated neutrophil (12.05±1.97 versus 13.86±3.15; u = 9.309, P &lt;0.001) and platelet (16.32±6.27 versus 21.37±8.57; u = 8.887, P &lt;0.001) engraftment compared with those treated with 5-day decitabine regimen. Patients in the 7-day decitabine group showed a significantly lower incidence rate of total (50.00% (12/24) versus 78.33% (47/60); 2 = 6.583, P = 0.010) and grade III or above (4.17% (1/24) versus 31.67% (19/60); 2 = 7.147, P = 0.008) oral mucositis compared to those in 5-day decitabine group. However, the occurrence of other major complications post allo-HSCT and outcome of patients in these two groups were comparable. Conclusion: These results demonstrated that this 7-day decitabine contained new conditioning regimen seems to be feasible and safe for patients with myeloid neoplasms who receive allo-HSCT, and a large-scale prospective study is needed to confirm the findings of this study.
DOI: 10.17632/863s95m3dh
title: Data for ESG Risk Exposure: A Tale of Two Tails

description: Data for ESG Risk Exposure: A Tale of Two Tails
DOI: 10.17632/dpwtnmjpj5
title: pICNIK: A python package with isoconversional computations for non-isothermal kinetics

description: Isoconversional computations are widely-used methods to determine activation energies for thermally stimulated processes. pICNIK (python Isoconversional Computations for Non-Isothermal Kinetics) is an open-source module designed with the purpose of being a seed to a complete Python package to facilitate kinetic computations. It is object oriented with two classes: DataExtraction and ActivationEnergy. Five isoconversional methods were implemented: Friedmann's method, the Kissinger-Akahira-Sunose method, Ozawa-Flynn-Wall method, Vyazovkin and advanced Vyazovkin. This module allows to compute the activation energy from thermogravimetric data in minutes and the results can be exported as spreadsheet format or comma separated values files instead of traditional tedious and time consuming data processing. The module was validated with simulated data and two study cases: vaporization of n-decane and the thermal degradation of polypropylene.
DOI: 10.6084/m9.figshare.28850741.v1
title: Metagenome-Assembled Genomes from soil aggregates of different sizes

description: This dataset contains 152 Metagenome-Assembled Genomes (MAGs) recovered from soil aggregates of different sizes, collected from agricultural soils under two contrasting management practices. Soil was fractionated into four aggregate size classes, ranging from 8 mm to less than 53 μm, and shotgun metagenomic sequencing was performed to investigate microbial community composition and functional potential across these physically distinct microhabitats. The dataset includes genome files (.fasta) and a summary table (“Quality Metrics”) reporting genome statistics, including completeness (&gt;50%), contamination (&lt;10%), heterogeneity, genome size, GC content, and taxonomic classification. All MAGs meet medium- or high-quality standards according to the MIMAG guidelines.
DOI: 10.17632/2vg6tbzcxw
title: Does gamification affect knowledge-sharing behavior? The mediating role of intrinsic satisfaction needs

description: data.csv: This dataset includes the original data file, data.csv, prepared for analysis using SmartPLS software (https://www.smartpls.com/).

Measurement model: The results of the measurement model are stored in the Measurement model folder, which contains Measurement model.html and its supporting files, Measurement model.html-files. To view the results, place both the Measurement model.html and its supporting files in the same folder. Then, open the Measurement model.html file using a web browser. The supporting files are automatically accessed by the HTML file and do not need to be opened separately.

Structural model: The results of the structural model are organized in the Structural model folder, which includes Structural model.html and its supporting files, Structural model.html-files. Similarly, place both the Structural model.html and its supporting files in the same folder and view the results by opening the Structural model.html file using a web browser. The supporting files are automatically accessed and do not need to be opened separately.
DOI: 10.17632/nngh6h758c
title: Reuse by-product collaboration and digital solution to enhance environmental sustainability at culinary MSMEs

description: Reuse by-product collaboration and digital solution to enhance environmental sustainability at culinary MSMEs

The research objects focus on the following construct: 
1. Digital solution
2. Environmental sustainability
3. Reuse by-product collaboration

This study adopts a quantitative research design to assess the impact of by-product collaboration and digital solutions on environmental sustainability among culinary micro, small, and medium enterprises (MSMEs). A quantitative survey approach allows for the systematic collection of numerical data, facilitating the analysis of relationships between variables in a measurable manner.

The target population for this research comprises culinary MSMEs located in major cities across Sumatera, Java, and Bali, Indonesia. With a total population of approximately 9,726,481 culinary MSMEs in these regions, purposive sampling was employed to select participants who are most likely to provide relevant insights. The minimum sample size for the study was determined to be 384 respondents who used digital application in their transactions, ensuring sufficient statistical power to draw meaningful conclusions.

Data collection was conducted through structured surveys administered via Google Forms. The questionnaires were designed to capture pertinent information regarding by-product collaboration, the implementation of digital solutions, and their perceived impact on environmental sustainability. This method allows for efficient data gathering and facilitates easy analysis of responses. The collected data were subjected to descriptive analysis to summarize the characteristics of the sample. Furthermore, advanced regression analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the relationships between the variables and assess the impact of by-product collaboration and digital solutions on environmental sustainability through measurement and structural models.
DOI: 10.17632/wds85kt64j
title: Construction and Demolition Waste Object Detection Dataset (CODD)

description: The CODD dataset is a meticulously curated collection of images and annotations designed to facilitate the development and benchmarking of both bounding box and instance segmentation detection models for Construction and Demolition Waste (CDW) sorting. CODD features ten distinct CDW categories, including bricks, concrete, tiles, wood, pipes, plastics, general waste, foaming insulation, stones, and plaster boards. The dataset was carefully acquired from a recycling facility in Cyprus, capturing the diverse characteristics of CDW in their natural state. A total of 3,129 high-resolution images (1920 × 1200 × 3, RGB) containing 16,545 annotated samples make up this comprehensive resource. The dataset is divided into training, validation, and testing subsets, with the option for users to exercise discretion in the use of the validation set within their specific research framework. All annotations are provided in the standardized PASCAL VOC XML format, including both bounding box coordinates and polygon coordinates for precise object segmentation detection.