cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kc64v677tb.1
title: A vascularised tumoroid model for studying human glioblastoma angiogenesis

description: Glioblastoma (GBM) angiogenesis is critical for the tumour’s fast growth and recurrence. Here, we developed a biomimetic, in vitro vascularised tumoroid model with stromal surrounds. This model is used to recapitulate how individual components of the GBM’s complex brain microenvironment, such as hypoxia, vasculature-related stromal cells and growth factors support GBM angiogenesis.
DOI: 10.17632/2g2vrgjb4z.1
title: PROSPECTS AND PROBLEMS OF TOURISM ALONG WITH IDENTIFICATION OF TOURIST SPOTS IN THE HAFLONG REGION, ASSAM

description: Tourism is one of the best trades as it offers employment to the local youth, foreign exchange earnings, diplomatic and cultural relations, and overall boosts the economy. According to World Tourism Organization (WTO), tourism is the leading sector in the globe in terms of employment creation and income generation. As per the Statista Research Department Report, Foreign exchange earnings have reached 30 billion U.S dollars and 87 million employments from the travel and tourism sector in India in the financial year 2019. Tourism is a modern concept as it has great potency for sustainable development of nature-based resources, vast wildlife, beautiful forest, and landscape. Haflong is the only hill station of Assam, located at the foothill of Borail range in southern Assam. The Haflong region is widely known for her natural lake, cultural diversity, bird mystery, and enchanting nature. The tourism potentiality of the
region includes Nature tourism, Eco-tourism, Cultural tourism, Religious tourism, Wildlife tourism, and River tourism. Geographical isolation, poor infrastructure amenities, political instability, and lack of awareness are some of the challenges. The present paper intends to highlight various potential tourist spots and explore the bright prospects and problems of tourism in the Haflong region. The data are collected from secondary sources only.
DOI: 10.15468/dl.e2p55x
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus torreyana Parry ex Carrière",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 267 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009260-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bt6r8cn2r.3
title: Political and Affective Polarisation in a Democracy in Crisis: The E-Dem Panel Survey Dataset (Spain, 2018-2019)

description: The E-DEM dataset is a micro-level online panel survey of the Spanish voting age population comprised of four waves carried out over a six-month period between late October 2018 and May 2019 (the detailed timing of each wave will be presented in Table 1). The survey waves coincide with key moments in Spanish political life (including local, regional, national, and European elections, as well as the conviction of Catalan secessionist leaders). It also covers the six-month period of the surge of Spain’s new radical right party, Vox, spanning from shortly before its first major electoral success in Spain’s most populate region, Andalusia, to its consolidation in the May 2019 European elections. In addition, the project comprises a series of survey experiments, embedded in the different waves, regarding measures on confidence in institutions, exposure to media and social networks, as well as on political behavior and polarization attitudes based on passive data, captured with software that the interviewees installed on their mobile devices. Three datasets are provided: the four-waves dataset, the experimental dataset, and the integrated dataset, which includes the former two. Each dataset is provided in three formats: tab-separated delimited text, tab-separated rawtext, and Stata 15.0 (.dta).
DOI: 10.17632/vyhs3g7j4j.1
title: Weizmann dataset

description: GC-MS metabolic profiling of the alga Chlorella ohadii performed in the Weizmann institute.
DOI: 10.17632/ystpymjrmm.2
title: Data for: Grossite-bearing refractory inclusions from reduced CV chondrites: Mineralogical and oxygen isotopic constraints on the parent body alteration history

description: Data in the manuscript by Han et al. to be published in Geochimica et Cosmochimica Acta as "Grossite-bearing refractory inclusions from reduced CV chondrites: Mineralogical and oxygen isotopic constraints on the parent body alteration history".
DOI: 10.17632/xn3ccj6kym.1
title: An open-source implementation of a quasi harmonic approach to compute the intramolecular entropy of particle systems

description: The implementation of a quasi harmonic approach to determine the intramolecular entropy of particle systems in an open-source python code is presented. The code makes use of platform-independent tools and can be readily transferred to any computer platform which can run python. It is straightforward to incorporate the code into the LAMMPS software as well as into other molecular simulation programs. In the computational part of this work, we evaluate the intramolecular entropy of atactic polystyrene and polyethylene melts in an all atom as well as in a coarse grained (CG) resolution at five temperatures between 400 and 450 K. For both polymers, coarse graining with its reduced system degrees of freedom and its softened bonded radial potential, causes a strong reduction of the entropy. However, the averaged entropy per degree of freedom in the CG case exceeds the one under atomistic resolution. Also the temperature dependence of the intramolecular entropy becomes weaker in the transition from an atomistic to a coarse grained description. The larger entropy of polyethylene in comparison to polystyrene under both resolutions is a consequence of its longer chain length. To simplify a comparison of the two polymers in the two considered resolutions, we analyze the total intramolecular entropy as well as its temperature gradient via a scaling of both quantities by the number of degrees of freedom. In the two studied systems and for both levels of resolution, a linear dependence of the intramolecular entropy on the temperature is identified.
DOI: 10.17632/crp8k3dgj5.2
title: Belief Updating in Euthymic Bipolar Disorder

description: Thirty-six bipolar patients completed the belief update task (Sharot et al., 2011) that estimates their ability to update beliefs in response to positive and negative information. The subsequent time in euthymia (i.e. free from any mood episode) has been recorded in months. We hypothesise that the learning pattern of bipolar patients and specifically their sensitivity to positive relative to negative information ("valence dependent learning") can predict the timing of their subsequent relapse.
DOI: 10.17632/m87sszn9rk.1
title: Zoledronate increases bone mineral density in non-ambulant children with cerebral palsy: A randomized, controlled trial. Supplemental material.

description: Supplemental Material
DOI: 10.17632/4sgf4t7nmm.3
title: Non-zero Onset Vietnamese Speech Dataset

description: This dataset consists of 348 non-zero onset Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) extracted from approximately 30-hour of FPT Open Speech Data (released publicly in 2018 by FPT Corporation). The extraction process was done automatically by a Python program written by the contributor. The speeches are in *.mp3 format and *.wav format (Mono, 48 kHz, 32-bit float) while the transcript file is in *.txt format with utf-8 encoding scheme. The dataset is useful for any onset detection research and development since the start and end times of each speech are already labelled. Copyright 2018 FPT Corporation Permission is hereby granted, free of charge, non-exclusive, worldwide, irrevocable, to any person obtaining a copy of this data or software and associated documentation files (the “Data or Software”), to deal in the Data or Software without restriction, including without limitation the rights to use, copy, modify, remix, transform, merge, build upon, publish, distribute and redistribute, sublicense, and/or sell copies of the Data or Software, for any purpose, even commercially, and to permit persons to whom the Data or Software is furnished to do so, subject to the following conditions: The above copyright notice, and this permission notice, and indication of any modification to the Data or Software, shall be included in all copies or substantial portions of the Data or Software. THE DATA OR SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR SOFTWARE OR THE USE OR OTHER DEALINGS IN THE DATA OR SOFTWARE. Patent and trademark rights are not licensed under this FPT Public License.
DOI: 10.17632/hpb4hc3r3y.1
title: Data for: Full-scale Experimental Testing of Fire Spread between Multiple Dwellings in Informal Settlements

description: The data sets contain the raw data (i.e. gas temperatures and temperatures measured by Thin Skin Calorimeters) pertaining to the experimental work done in this paper. Additionally, processed data is also presented (i.e. calculated heat fluxes) alongside heat flux curves as used in the manuscript.
DOI: 10.17632/g2mysjfp52.1
title: Stylophora pistillata cell atlas illuminates stony coral symbiosis, calcification and immunity

description: Stony corals are colonial cnidarians that sustain the most biodiverse marine ecosystems on Earth: coral reefs. Despite their ecological importance, little is known about the cell types and molecular pathways that underpin the biology of reef-building corals. Using single-cell RNA sequencing, here we define over 40 cell types across the life cycle of Stylophora pistillata. We discover specialized immune cells, and we uncover the developmental gene expression dynamics of calcium-carbonate skeleton formation. By simultaneously measuring the transcriptomes of coral cells and the algae within them, we characterize the metabolic programs involved in symbiosis in both partners. We also trace the evolution of these coral cell specializations by phylogenetic integration of multiple cnidarian cell type atlases. Overall, this study reveals the molecular and cellular basis of stony coral biology.
DOI: 10.17632/8thw5fb2t3.1
title: Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics
DOI: 10.17632/383wxrwv83.1
title: Influence of Physical and Psychological Symptoms of Stress in Undergraduate and Graduate Students: A Cross-Sectional Study Conducted in Brazil

description: Objective: To verify the correlation between physical and psychological manifestations and the phases of stress in undergraduate and graduate students at a Brazilian university.

Methodology: This is a cross-sectional, descriptive, comparative study with a quantitative approach conducted in July 2023. The Lipp's Stress Symptoms Inventory (ISSL) was used to measure the variables of interest. The sample was divided between the undergraduate group (UG) and the postgraduate group (PG), which included master's, doctoral, and specialization students from various areas of knowledge. Descriptive and analytical statistics were used to measure the variables of interest and their correlations.

Results: A total of 1,049 individuals participated in the study, with 688 (65.6%) from UG and 361 from PG (34.4%). The majority of participants were aged between 18 and 29 years (n=627/ 59.8%), female (n=693/ 66.1%), heterosexual (n=798/ 76.1%), and studied at the campus in the state capital (n=855/ 81.5%). When comparing the study groups, the UG stood out among those in the resistance phase according to the ISSL (n=440/ 64.0%/ p=0.005). The same group exhibited higher scores for physical symptoms (mean=6.8/ Standard Deviation [SD]: 5.3/ p=0.023) and psychological symptoms (mean=6.3/ SD: 4.8/ p=0.004), resistance phase (mean=5.0/ SD: 2.4/ p=0.010) and exhaustion phase (mean=5.2/ SD: 4.3/ p=0.003), compared to the PG. We also found a strong correlation between all stress phases and physical and psychological symptoms in both groups (R&gt;0.50/ p&lt;0.050). However, linear regression analysis showed a greater prediction in the UG between psychological symptoms and Resistance Phase (R²=0.767/ p&lt;0.001), Exhaustion Phase (R²=0.866/ p&lt;0.001). The PG exhibited the same behavior, however, between physical symptoms, Alert Phase (R²=0.747/ p&lt;0.001) and Resistance Phase (R²=0.802/ p&lt;0.001).

Conclusion: We observed a strong correlation between physical and psychological stress symptoms in students from both study groups. However, there was a higher prediction for stress related to psychological symptoms in the UG and to physical symptoms in the PG.
DOI: 10.17632/92sjcmctjt.1
title: Data for: Oxidation behavior of Zirconium, Zircaloy-3, Zircaloy-4, Zr-1Nb, and Zr-2.5Nb in air and oxygen

description: Mass gain data obtained during isothermal and non-isothermal oxidation of zirconium alloys.
DOI: 10.17632/vmwmn4252k.1
title: Data for "A Pandemic of Mental Health"

description: This paper introduces several datasets (.csv) providing raw data and statistical differences before and after the peak of the COVID-19 pandemic.  The variables within the datasets include reported anxiety or depression symptoms, economic indicators, all-cause mortality rate, and isolated mass-shooting events.  The raw datasets come from the Centers for Disease Control and Prevention (CDC), the Federal Reserve Economic Data (FRED), and the Gun Violence Archive  By observing before and after the peak of the pandemic, the overall effect of COVID-19 on mental health can be analyzed and more thoroughly understood using this data. 

We hypothesized that the older adult population would be more susceptible to mental health issues throughout the pandemic due to their high mortality risk.  However, our results indicate that the mental health of the youngest adult population (18-29 years) was most negatively affected by the COVID-19 pandemic.
DOI: 10.17632/vnz256sz43.1
title: Female Genital Mutilation: Overview and Dermatologic Relevance

description: The immediate and long-term health consequences of female genital mutilation.
DOI: 10.17632/fjxrcbh672.1
title: NASA RR-3 Brain Dataset

description: This dataset is cited in the study titled "Spatially resolved multiomics on the neuronal effects induced by spaceflight". This dataset contains the following: Counts data for each brain tissue section including corresponding spot coordinates and images processed by Spaceranger; final object containing the deconvolution results processed using Stereoscope; final analysed objects, corresponding metadata file and final rmarkdown html document showing the final plots from the multiomics analysis; and final analysed seurat object with ST clusters and corresponding annotations. 
The metabolic analysis files and output files required to perform the analysis are under the data_metabolic_analysis.zip folder.
DOI: 10.17632/c28vkncvw2.1
title: Supplementary materials to "A Systematic Review of Social Robots in Public Spaces: Threat Landscape and Attack Surface"

description: This is an archived online supplementary material for the journal article "A Systematic Review of Social Robots in Public Spaces: Threat Landscape and Attack Surface." In this archive, you will find the replication package,  dataset, data extraction checklist, quality assessment questions and a complete list of all the primary studies of this SLR. The replication package consists of an information source, search result URLs and a  spreadsheet repository. Our information source lists five digital libraries from which we searched for eligible primary studies. We included our search URLs and the search string to facilitate easy replication of our results. The attached spreadsheet titled repository has three sheets; filtering, quotes and primary studies. The filtering pages consist of all 1469 studies that satisfied our search criteria and the reason for excluding any paper. The sheet titled quotes show all quotes from our primary studies supporting our extracted data. The last spreadsheet, titled primary studies, contains a complete list of all extracted information for our primary studies. The data extraction checklist and quality assessment questions for this SLR are also attached as supplementary materials.
DOI: 10.17632/7bfsjtkgtb.1
title: Visualization dataset for the structure of a protein-DNA complex of the human ALkB-like dioxygenase ALKBH3

description: This dataset includes a structural visualization of the catalytic complex of ALKBH3 protein with the Fe(II) cofactor, 2OG co-substrate, and methylated single-stranded DNA based on PDB file 2IUW. Three files have been uploaded for user convenience: AlkBH3_3meC-DNA.py, AlkBH3_3meC-DNA.cxs, and AlkBH3_3meC-DNA.pdb. Files "AlkBH3_3meC-DNA.py" and "AlkBH3_3meC-DNA.cxs" represent sessions for UCSF Chimera 1.16 and Chimera X, respectively. 
Labeling of the complex components:
Protein – rosy brown;
DNA – light grey;
Key active site residues – dark cyan;
Damaged base (N3-methylcytosine) – medium purple.
DOI: 10.17632/j43jtv3zzc.1
title: PhishLegitURLs: A Comprehensive Dataset of Legitimate and Phishing URLs

description: This dataset contains a collection of approximately 1,000 URLs, evenly distributed between phishing and legitimate web addresses, designed for use in research and development of phishing detection models. The dataset is structured as follows:

Phishing URLs (Approx. 700):

These URLs have been sourced from the URLHaus database, a well-known repository of malicious websites actively used in phishing attacks. Each entry in this subset has been manually verified and is labeled as a phishing URL, making this dataset highly reliable for identifying harmful web content.
Legitimate URLs (Approx. 300):

The legitimate URLs have been collected from reputable sources such as Wikipedia and Stack Overflow. These websites are known for hosting user-generated content and community discussions, ensuring that the URLs represent safe, legitimate web addresses. The URLs were randomly scraped to ensure diversity in the types of legitimate sites included.
Dataset Features:

URL: The full web address of each entry, providing the primary feature for analysis.
Label: A binary label indicating whether the URL is legitimate (1) or phishing (0).
Applications:

This dataset is suitable for training and evaluating machine learning models aimed at distinguishing between phishing and legitimate websites. It can be used in a variety of cybersecurity research projects, including URL-based phishing detection, web content analysis, and the development of real-time protection systems.

Usage:

Researchers can leverage this balanced dataset to develop and test algorithms for identifying phishing websites with high accuracy, using features such as URL structure, and class label attributes. The inclusion of both phishing and legitimate URLs provides a comprehensive basis for creating robust models capable of detecting phishing attempts in diverse online environments.
DOI: 10.17632/6dj3c6dw92.1
title: Organic grave good-related soil microorganisms: read-out of soil biological memory for archaeological research

description: Nucleotide sequences of biotechnologically significant bacterial strains isolated from ancient graves
DOI: 10.17632/s5yk5nv8t2.1
title: The Perverse Valuation Effect on Mergers and Acquisitions in Europe

description: Replication_Folder_The Perverse Valuation Effect on Mergers and Acquisitions in Europe
DOI: 10.17632/3t6rbtcms8.1
title: TelecomX

description: **Short description**
The task is to analyze the presented data on Internet traffic consumption by subscribers, by examining the data on the volume of transmitted and received traffic from the communication equipment (switches) exports. The data of the described subject area is presented in the form of files with synthetic data. Full description with diagrams in attachment. Additional dataset options are available here -- https://github.com/d-yacenko/dataset

For entities such as Client, Physical, Company, Plan, Subscriber, and PSXAttrs, data are provided as a current snapshot — one entity, one file with current
data.
Data from switches are exported every 10 minutes. For example, with 10 switches, 24*6*10 = 1440 files are
exported per day. File names contain the switch name and export time. Alternatively, data could be streamed
from equipment via systems like Kafka.
This work presents three dataset variants — exports from 6 switches over 7 days for operators of varying
sizes:
• telecom10k - operator with 10,000 subscribers (51MB),
• telecom100k - operator with 100,000 subscribers (696MB),
• telecom1000k - operator with 1,000,000 subscribers (7.2GB).
The task is to analyze the presented data on Internet traffic consumption by subscribers, by examining the
data on the volume of transmitted and received traffic from the communication equipment (switches) exports.
During the analysis, it is necessary to compare the retrospective consumption of a subscriber’s traffic with the
current, and upon detecting atypical consumption, to conclude hacking. A data showcase table (data mart)
should be constructed for each hour of data from the switches, i.e., the number of showcases should equal the
period (in hours) for which operational data were exported, e.g., 24*7 = 168. The showcase should present the
following data:
• Time,
• Client name,
• Client contract number,
• Contact data for communication with the client,
• Presumed hacking status (hacked/clear),
• Justification of the presumed hacking status (brief history of traffic consumption).
The methods required for this task include data cleaning, data loading, data mart calculation, etc. In addition
to data analysis, it is important to apply data governance practices to control data quality at all stages of the
analysis (data quality), determine data origins (data lineage), and describe the glossary of the subject area.
Expected Result. Based on the available data, a set of data marts with a calculation interval of 1 hour of
input data should be constructed, containing information on consumer traffic consumption and signs of suspected
hacking.