cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tzn58zt69d
title: hiVOF: A software for high-order volume of fluid initialization on arbitrary polyhedra

description: The hiVOF package implements a high-order accurate and efficient method for computing the fluid volume bounded by an arbitrary polyhedron, whether it is convex or non-convex, and an implicitly-defined fluid body with complex regions and even discontinuous gradients. The implemented method can be considered as a combination of high-order integrations based on simple Gaussian quadratures with recursive local grid refinements that manage the difficulties of local extrema without the need to directly handle multi-times intersected edges and internally-intersected faces.

The hiVOF software is implemented in FORTRAN. Several test programs have been included in the supplied software package to asses the accuracy and computational efficiency of the implemented method for the volume of fluid initialization of fluid-bodies with complex interfaces of a high degree on structured and unstructured grids. OpenMP application programming interface is used to parallelize its execution in shared-memory architectures.
DOI: 10.17632/67zv95bzt8
title: PRIMITIVE PADDY VARITIES OF ODISHA, INDIA

description: Ten Varieties of Primitive Paddy like Goswami, Jamuna, Jamut, Mamata, Pooja, Rambanbas, Sanghmitra, Sanjeevani, Sadhana and Sannasriya are shared.
Please cite 
N.K. Naik, P.K. Sethy, A.G. Devi, S.K. Behera, Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm, Journal of Agriculture and Food Research (2024), doi: https://doi.org/10.1016/j.jafr.2023.1009
DOI: 10.17632/kbbs7zcrc4
title: Data for: Air Pollution Knowledge Assessments (APnA) for 20 Indian Cities

description: In this paper, we are presenting databases and results for 20 Indian cities. Due to space constraints and to avoid repetition, several figures and tables are not included in the main text. The Supplementary contains the following (a) for 20 cities - selected urban airsheds as google KML files showing 0.01º grids (b) for 20 cities - urban-rural built area maps, emission projections for PM2.5 between 2015 and 2030, gridded PM2.5 emission maps, modeled PM2.5 concentration maps, and modeled monthly variation of PM2.5 concentrations for the selected airshed (c) for 20 cities – the WRF modeled wind speed, wind direction, temperature, precipitation and mixing height for the airshed as annual summary figures, summary table showing monthly variation, and database of hourly values (d) for all India – list of number of operational ambient monitoring stations and recommendation number of monitoring stations by state (37) and by district (640) (e) for all India – daily average ambient monitoring data for the period of 2011-2015 from all the stations operational under the national ambient monitoring programme (f) for all India – summary of satellite data + global model based surface PM2.5 estimates for the period of 1998 and 2016 by state (37) and by district (640) and (g) for 20 cities – summary of WRF-CAMx modeled PM2.5 source apportionment.
DOI: 10.17632/mj9zhb9vxj
title: Replication Files: Impact of An Infrastructure Failure on Cognitive Performance

description: Natural and human-made disasters can have far-reaching impacts on health and human capital for affected individuals. The 2007 collapse of the I-35W Mississippi River Bridge in Minneapolis, Minnesota, led to a substantial disruption of the learning environment for students in affected communities. The collapse resulted in numerous fatalities and injuries; notably, a school bus carrying 63 students was on the bridge during the collapse, and traffic patterns were disrupted for a year. Using a two-way fixed effects and synthetic difference-in-differences approach, I find that the bridge collapse leads to lower standardized test scores for affected schools relative to similar unaffected schools. Furthermore, I provide evidence that improvements in air quality due to reduced traffic do not outweigh the trauma-induced psychological stress impacts of the disaster.
DOI: 10.17632/y326fsd8ww
title: Data for: High radiation resistance in the binary W-Ta system through small V additions: A new paradigm for nuclear fusion materials

description: Raw data and videos for the in situ TEM heavy ion irradiation experiments. Post-irradiation characterisation for the alloys S1T and S3T is also presented. The steps to reproduce the research are straighforward and introduced below.
DOI: 10.17632/z3ffct4gfj
title: Assessing the effectiveness of energy efficiency measures in the residential sector gas consumption through dynamic treatment effects: Evidence from England and Wales

description: Data were made available by the National Energy Efficiency Dataset (NEED). Access to the dataset can be found here. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/857035/anon_set_50k_2019.csv Data was complemented with information from Eurostat (Heating degree days and cooling degree days are not available anymore by region in Eurostat. Original dataset from Eurostat can be provided upon request) and the Department of Business, Energy and Industrial Strategy through https://www.gov.uk/government/statistical-data-sets/annual-domestic-energy-price-statistics. The version used in this paper was published on 26-Mar-2020. All the data gathered for this research belongs to a third parties and are available open access in their respective repositories. The raw data is included in the document Dataset.
DOI: 10.17632/3t9vbwxgr5
title: Music Dataset: Lyrics and Metadata from 1950 to 2019

description: This dataset was studied on Temporal Analysis and Visualisation of Music paper, in the following link: https://sol.sbc.org.br/index.php/eniac/article/view/12155 This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, danceability, loudness, acousticness, etc. We also provide some informations as lyrics which can be used to natural language processing. The audio data was scraped using Echo Nest® API integrated engine with spotipy Python’s package. The spotipy API permits the user to search for specific genres, artists,songs, release date, etc. To obtain the lyrics we used the Lyrics Genius® API as baseURL for requesting data based on the song title and artist name.
DOI: 10.17632/t4rjd9hx52
title: Data for: Can liquid density-fluctuations near solid surface drive the motion of nanoscale droplets?

description: Data for: Can liquid density-fluctuations near solid surface drive the motion of nanoscale droplets?
DOI: 10.17632/wggsn9w6b6
title: Dataset on the behavior of local and foreign users in their willingness to pay for bike sharing in medium-sized cities.

description: The dataset presents data collected through a questionnaire survey. 
The survey sample included 370 adults (over 16 years old), active and potential users of electric bike sharing services. The questionnaire is structured in two sessions: the first one includes questions on socio-economic data, the second one on the intentions to use these services in the future depending on the costs of use.
DOI: 10.6084/m9.figshare.6155009.v1
title: Supplementary Material for: The Role of Proteasome Inhibitor MG132 in 2,4-Dinitrofluorobenzene-Induced Atopic Dermatitis in NC/Nga Mice

description: <b><i>Background:</i></b> Although immunosuppressants for therapy of atopic dermatitis (AD) are still being sought, proteasome inhibitors are also potential candidates for the treatment of AD. Proteasome inhibitors exert various effects by blocking proteasomal degradation and help regulate processes such as apoptosis induction via caspase-9, cell cycle progression via cyclins, NF-κB inactivation via IκB, and downregulation of antigen cross-presentation. The cells targeted by proteasome inhibitors are therefore activated cells undergoing proliferation or differentiation, and antigen-presenting cells carrying out protein degradation. <b><i>Objectives:</i></b> This study investigated the therapeutic effects and side effects of a proteasome inhibitor, MG132, on the treatment of AD. <b><i>Methods:</i></b> AD-like disease in NC/Nga mice housed under specific pathogen-free conditions was induced by repeated application of 2,4-dinitrofluorobenzene (DNFB). Disease progression was evaluated by inflammation score, histopathology, and serum IgE level, and the effects of systemic MG132 administration were investigated. The percentages and absolute numbers for each population of Th1, Th2, and Th17 cells in the axillary lymph nodes were analyzed by flow cytometry. <b><i>Results:</i></b> DNFB application increased the expression of a unique major histocompatibility complex class I mutant molecule D/L<sup>dm7</sup> in dendritic cells (DCs), and increased Th1 and Th17 cells in NC/Nga mice. In vivo MG132 administration to NC/Nga mice with DNFB-induced dermatitis reduced Th17 cells but maintained the level of Th1 cells, resulting in the alleviation of dermatitis lesions by decreasing both serum IgE hyperproduction and mast cell migration. To understand the mechanisms maintaining Th1 cell levels following in vivo MG132-administration, we focused on the role of proteasomes regulating D/L<sup>dm7</sup> expression. Interestingly, 20S proteasome activity was higher in NC/Nga DCs than in BALB/c DCs. In vitro MG132 administration partially increased D/L<sup>dm7</sup> expression in a dose-dependent manner during DC maturation, and induced IFN-γ production from autoreactive CD8+ T cells but not from CD4+ T cells following coculturing with D/L<sup>dm7</sup>-upregulated DCs. <b><i>Conclusion:</i></b> Although MG132 administration temporarily alleviated AD pathogenesis in NC/Nga mice, prolonged MG132 treatment may result in immunopathogenesis leading to chronic AD due to its side effect of maintaining Th1 levels via autoreactive CD8+ T cells.
DOI: 10.17044/scilifelab.14687271.v2
title: CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

description: <b>Welcome to the the CSAW-M dataset homepage</b><br>This page includes the files and metadata related to the <em>CSAW-M, a curated dataset of mammograms with expert assessments of the masking of cancer</em>.
CSAW-M is collected from over 10,000 individuals and annotated with potential masking. In contrast to the previous approaches which measure breast image <em>density</em> as a proxy, our dataset directly provides annotations of masking potential assessments from five specialists. We trained deep learning models on CSAW-M to estimate the masking level, and showed that the estimated masking is significantly more predictive of screening participants diagnosed with <em>interval</em> and <em>large invasive</em> cancers — without being explicitly trained for these tasks — than its breast density counterparts.
Please find the paper corresponding to our work here and the GitHub repo here.<b>CSAW-M Research Use License</b><b>Please read carefully all the terms and conditions of the CSAW-M Research Use License.</b><br>
<b>How to access the dataset</b>:<br>If you want to get access to the data, please use the "Request access to files" option above (currently, non-Swedish researchers need to have a general figshare account to be able to to request access). We will ask you to agree to our terms of conditions and provide us with some information about what you will use the data for. We will then receive the request and process it, after which you would be able to download all the files.<b>If you use this Work, please cite our paper:</b><pre><sub>@article{sorkhei2021csaw,
 title={CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer},
 author={Sorkhei, Moein and Liu, Yue and Azizpour, Hossein and Azavedo, Edward and Dembrower, Karin and Ntoula, Dimitra and Zouzos, Athanasios and Strand, Fredrik and Smith, Kevin},
 year={2021}
}</sub></pre>
DOI: 10.17632/fyv4zktrj7
title: "Exploring the Impact of Social Media on Mental Health Perspectives in Young Adults."

description: The research hypothesis is that frequent use of social media contributes to increased anxiety, depression, and loneliness among young adults. This hypothesis is supported by the data, which shows that more frequent social media users are more likely to report experiencing mental health problems. The data also shows that excessive social media use is associated with higher levels of reported loneliness.
The data was gathered through a review of existing research on the topic. The researchers searched academic databases, grey literature, and online platforms for studies that investigated the relationship between social media use and mental health in young adults. They then screened and selected studies that met specific criteria, such as those that focused on young adults, used peer-reviewed methods, and were published within the last five years. The researchers then extracted and analyzed data from the selected studies.
The data shows that there is a strong association between social media use and mental health problems. The researchers found that more frequent social media users are more likely to report experiencing anxiety, depression, and loneliness. They also found that excessive social media use is associated with higher levels of reported loneliness.
The data can be interpreted in a number of ways. One interpretation is that social media can have a negative impact on mental health. This is likely due to a number of factors, such as the pressure to present a perfect image online, the constant exposure to negative or upsetting content, and the tendency to compare oneself to others. Another interpretation is that social media can be a useful tool for connecting with others and staying informed, but it is important to use it in moderation and to be aware of its potential negative effects.
The data can be used to inform the development of interventions and support systems for young adults who are struggling with mental health problems. For example, the data could be used to develop educational programs that teach young adults about the potential negative effects of social media and how to use it in a healthy way. The data could also be used to develop support groups for young adults who are struggling with anxiety, depression, or loneliness.
It is important to note that the data presented in this research is correlational, which means that it does not prove that social media causes mental health problems. However, the data does suggest that there is a strong association between social media use and mental health problems. Further research is needed to determine whether social media use is a cause or a consequence of mental health problems.
DOI: 10.17632/p8j3sjzpym
title: Data for: Palaeoproductivity and associated changes in the north-eastern Indian Ocean since the last glacial: Evidence from benthic foraminifera and stable isotopes
DOI: 10.17632/g2pnjx64hv
title: Eberth_Lopez

description: Base de datos de Ingeniería Matemática y Computación para la materia de Metodologia de la Investigación
DOI: 10.17632/nrmg6hmsck
title: Data and Code for "Face Pareidolia Minimally Engages Macaque Face- Selective Neurons" by Koyano, Taubert, Robison, Waidmann, and Leopold, Progress in Neurobiology (2025)

description: Data and code used for the paper "Face pareidolia minimally engages macaque face- selective neurons" by Koyano, Taubert, Robison, Waidmann, and Leopold, published in Progress in Neurobiology (2025). The dataset consists of MATLAB .mat files containing firing rates, statistical data, and spike density functions for each neuron. The MATLAB scripts provided were used to generate the figures presented in the paper.
DOI: 10.17632/tmvtk232xf
title: Matlab Implementation of higher-order angular kinematic quantities with dual numbers

description: A Matlab implementation of classes and functions to compute angular velocity, angular acceleration, angular jerk and angular jounce/snap is presented.
Some examples are included.
DOI: 10.17632/yvvmsz4dkt
title: Replication program for "Endogenous Inattention and Risk-Specific Price Underreaction in Corporate Bonds"

description: Replication code and data for paper "Endogenous Inattention and Risk-Specific Price Underreaction in Corporate Bonds" in the Journal of Financial Economics.
DOI: 10.6084/m9.figshare.25484068.v2
title: GNN-TL descriptors for organic molecules in QM9NMR dataset

description: This dataset is a part of supplemental data in arXiv:2402.18433.<br>GNN-TL descriptors from M3GNet, MEGNet, MACE-MP0 and MACE-OFF23Important columns are noted below to use each descriptor.molecule_formuladsgdb_idx (The name of molecule)nmr_shiftatomic_numberatomic_symbolx,y,z (atoms positions)atom_feature_vector1~N (N depends on the type of descriptor. For example, N is 64 in M3GNet.)<br><br><br><br><br><br>Please unzip using tar command.```tar -zxvf ***.tar<br>```The way of reading dataset in python.```import pandas as pddf = pd.read_csv(f'path/to/csv')```<br><b>Citations</b>Original QM9 dataset (R. Ramakrishnan, P. O. Dral, M. Rupp and O. A. Von Lilienfeld, Scientific data, 2014, 1, 1–7)QM9NMR dataset (A. Gupta, S. Chakraborty and R. Ramakrishnan, Machine<br>Learning: Science and Technology, 2021, 2, 035010)T. Shiota, K. Ishihara, W. Mizukami, Universal neural network potentials as descriptors: Towards scalable chemical property prediction using quantum and classical computers,<br>arXiv:2402.18433 [quant-ph]<br>
DOI: 10.17632/5c4b8f8yxh
title: Supplementary files

description: A summary about ongoing clinical trials of lenvatinib in combination with different drugs/therapeutic methods
DOI: 10.17632/83jysfvvj3
title: T-UMUX Data and Results

description: Based on different translations, 45 UMUX variants in Turkish language are assessed psychometrically as a formative construct, regarding the criteria based on PLS measurement models for formative constructs and Rasch analysis. The results are benchmarked with the data collected via UMUX, SUS and CSUQ in Arabic and English (N=118) or Turkish and English (N=222) concurrently. 
All of the SUS scores given through the 7-point Likert scale are converted to a score over 5, by recoding the scores, considering that items scored with 2 and 3 are meant to be 2, 5 and 6 are 4, and 4 recoded as 3. For this reason, the SUS scores reported in this study may not comparable with scores in other studies.
DOI: 10.17632/c66r92wt7t
title: Analysis of laboratory incident database

description: Incident database
DOI: 10.15468/dl.etakxs
title: Occurrence Download

description: A dataset containing 12250871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12250871 records from 2006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012883-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dqc2h
title: Occurrence Download

description: A dataset containing 7328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus morio"
 ]
}

 The dataset includes 7328 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025702-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb97sz
title: Occurrence Download

description: A dataset containing 12845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 12845 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025703-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57ry8n
title: Occurrence Download

description: A dataset containing 4946 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxodium mucronatum"
 ]
}

 The dataset includes 4946 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005907-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naqtwq
title: Occurrence Download

description: A dataset containing 5628429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5628429 records from 1679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005892-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.1zcrjdfzh
title: First record of the introduced ladybird beetle, Coccinella undecimpunctata Linnaeus (1758), on South Georgia (sub-Antarctic)

description: Biological invasions represent a growing threat to islands and their
 biodiversity across the world. The isolated sub-Antarctic island of South
 Georgia in the South Atlantic Ocean is a highly protected area that relies
 on effective biosecurity including prevention, surveillance and
 eradication to limit the risk of biological invasions. Based on an
 opportunistic field discovery, we provide the first report of an
 introduced ladybird beetle on South Georgia. All specimens discovered
 belong to the Eurasian species Coccinella undecimpunctata Linnaeus (1758)
 (Coleoptera: Coccinellidae). Tens of individuals of both sexes were
 discovered at a single location, indicating that the species may already
 be established on South Georgia. Transport connectivity with this site
 suggests that the species most likely arrived recently from the Falkland
 Islands as a stowaway on a ship. We discuss the implications of our
 discovery for the continued development of South Atlantic biosecurity.
description: # Data associated with "First record of the introduced ladybird
 beetle, *Coccinella undecimpunctata* Linnaeus (1758), on South Georgia
 (sub-Antarctic)": *** Pictures of specimens under the
 stereomicroscope and associated metadata for size calibration associated
 with scientific article "First record of the introduced ladybird
 beetle, *Coccinella undecimpunctata* Linnaeus (1758), on South Georgia
 (sub-Antarctic)." Author: Pierre Tichit ## Description of the Data
 and file structure
 "Ladybird\_pictures\_used\_for\_measurements.zip" contains the
 original pictures of ladybird beetles taken under the stereomicroscope
 that we used to measure the pronotum and head width, as well as a picture
 of a 1 mm reticule used for calibration.
 "Ladybird\_measurements\_ref.xlsx" contains raw and calibrated
 measurements of pronotum and head width. * Column 1: numbered indexing of
 the 18 measured ladybird beetles; * Column 2: Date of capture
 (dd/mm/yyyy); * Column 3: Raw measurement of the pronotum width in pixels;
 * Column 4: Raw measurement of the head width in pixels; * Column 5 Raw
 measurement of the calibration 1 mm reticule in pixels; * Column 6:
 Calibrated measurement of the pronotum width in mm (Column 4 / Column 6);
 * Column 7: Calibrated measurement of the head width in mm (Column 5 /
 Column 6).