cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28255481.v1
title: Proteomics ETI

description: Normalized unbiased proteomics approach to measure the effect of ETI on inflammatory proteins. Plasma from 20 pediatric pwCF and 20 non-CF (NCF) was collected during routine examinations and 3 months after ETI initiation. Protein screening was performed with an inflammation panel (Target 96, Olink®). Bioinformatics analysis was used to determine changes in protein expression.
DOI: 10.17632/d7t8j9rmm8
title: HEPL Covid-19 in Sweden

description: Supplementary data and analysis files for the article "Soft law and individual responsibility: A review of the Swedish Policy Response to Covid-19" by Ulrika Winblad, Douglas Spangler, and Anna-Karin Swenning.
DOI: 10.17632/56xjk7v545
title: Impact of using free-body diagram in mechanics problems solving for improving engineering students’ performance in physics at a selected public university in Rwanda.

description: Mechanics is a discipline of physics that deals with the motion and forces that govern object movement. To apply fundamental principles successfully, engineering students must have a thorough understanding of mechanics. The free-body diagrams, which are visual representations of forces, assist students in identifying and analyzing forces. The current research looks into how Free-body Diagrams affect engineering students' performance in physics courses. However, many engineering students struggle to understand free-body diagrams, which might impede problem-solving. A sample of undergraduate engineering students from the University of Rwanda College of Science and Technology participated in the study. The students are separated into two groups: one for control and one for experimentation. The control group is given standard instruction, whereas the experimental group is given free-body diagram training. Before and after the intervention, both groups were evaluated on their ability to solve mechanics problems. A pre-test and a post-test are used to assess the student's performance. The results revealed that the experimental group improved much more than the control group in problem-solving performance. Furthermore, students in the experimental group expressed a more favorable attitude toward employing free-body diagrams in problem-solving activities. The research findings revealed that adding them into mechanics problem-solving education can be an effective strategy to improve engineering students' performance in physics problem-solving. The findings could also have a considerable impact on engineering education if they are implemented into the physics curriculum and teaching methods. They could potentially also be used to build instructional strategies and learning materials that foster free-body diagrams and improve students' mechanics problem-solving abilities.
DOI: 10.17632/k8pvz45gp2
title: Percentage of articles and reviews by countries in sources discontinued by Scopus

description: This dataset is important for estimating the problems with academic policy and quality control in some countries, which result in an excessive (compared to other countries) percentage of publications in questionable journals not providing a proper peer review and/or violating research ethics. Such journals are regularly discontinued from Scopus.
DOI: 10.17632/td2kgvdd37
title: Current Status of COVID-19 Coronavirus in India-English Version

description: Description: This map presents the number of COVID-19 confirmed cases detected in India, including Indian and foreign nationals. Disclaimer: This work is for awareness generation on COVID-19 pandemic and public use.
DOI: 10.6084/m9.figshare.1144472.v1
title: Overdispersed Dataset for Step by Step Guide

description: Dataset for analysis in conjunction with the 'Step by Step Guide'
DOI: 10.17632/ffysgft2ns
title: Indian Origin Flowers Dataset

description: The data comprises of comprehensive collection of flower images (i.e. 15044) sourced from various nurseries. Thus, the dataset includes 10 different categories of flowers. These images were captured using high-resolution cameras under varying lighting conditions, and from multiple perspectives to ensure clarity and consistency. Further data images underwent preprocessing steps to standardize their resolution, remove background noise, and enhance their visual quality. Additionally, the images were labeled with corresponding names and organized into a hierarchical folder structure based on their taxonomic classifications.The finalized dataset comprises a vast repository of flower images, encompassing a wide range of species and varieties.
DOI: 10.15468/dl.j2ng8q
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salsola kali L.",
 "Country is Afghanistan"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012952-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/243s2ff633
title: In the Weeds of Traffic Fatalities: Replication Dataset

description: This replication package accompanies the article “In the Weeds of Traffic Fatalities: Revisiting the Effect of Medical Marijuana Laws.” The research re-evaluates the widely cited finding that medical marijuana laws (MMLs) significantly reduce traffic fatalities. The central hypothesis is that previous estimates of MML effects may be biased due to unaccounted-for pre-treatment trends and hard to interpret because of heterogeneity across states.

The dataset is a panel of U.S. states from 1990 to 2010, constructed to closely replicate Anderson et al. (2013). It includes annual, state-level traffic fatality rates (log-transformed per 100,000 population), a binary indicator for MML adoption, and a rich set of covariates covering demographics, driving laws, traffic enforcement measures, and substance-related policies.

The key finding is that states legalizing medical marijuana were already experiencing declining traffic fatalities before legalization. When accounting for these pre-trends using the Imputation Procedure (Borusyak et al., 2024), the estimated effect of MMLs shifts from negative to either zero or positive—depending on included covariates. The data also reveal large heterogeneity across states, with California disproportionately influencing population-weighted estimates.
DOI: 10.17632/948b3rx9vn
title: LINF_180012200

description: Citrate synthase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zwpr5mpwms
title: Sarkas: A fast pure-python molecular dynamics suite for plasma physics

description: We present an open-source, performant, pure-python molecular dynamics (MD) suite for non-ideal plasmas. The code, Sarkas, aims to accelerate the research process by providing an MD code complete with pre- and post-processing tools. Sarkas offers the ease of use of Python while employing the Numba library to obtain execution speeds comparable to that of compiled languages. The available tools in Sarkas include graphical displays of the equilibration process through a Jupyter interface and the ability to compute quantities such as, radial distribution functions, autocorrelation functions, and Green-Kubo relations. Many force laws used to simulate plasmas are included in Sarkas, namely, pure Coulomb, Yukawa and Molière pair-potentials. Sarkas also contains quantum statistical potentials and fast Ewald methods are included where necessary. An object-oriented approach allows for easy modification of Sarkas, such as adding new time integrators, boundary conditions and force laws.
DOI: 10.6084/m9.figshare.26062678.v1
title: <b>Environmental changes increase forest understory plant species richness and dominance</b>

description: The source data underlying Figs 1–4, Supplementary Figs. 1–8 and Supplementary Tables 1–3 are archived in Figshare. All data and code will be available when the paper is published
DOI: 10.17632/8rftx9ybnm
title: Lung cancer gut microbiota sequencing

description: Lung cancer gut microbiota sequencing
DOI: 10.17632/6bd7d47z9z
title: Comparative analysis of industrialisation potentials of direct air capture technologies - Supporting Data

description: Supporting Data for publication, "Comparative analysis of industrialisation potentials of direct air capture technologies"
DOI: 10.17632/95tf893fd5
title: Management and environmental drivers of soil-borne pathogens in smallholder systems of western Kenya

description: This study aimed to assess the role of agroecological practices, including diversified cropping systems and organic nutrient inputs, in influencing the abundance of lesion nematodes (LN) and Fusarium pathogens within smallholder systems in western Kenya (Fig. 1). We collected soils from smallholder farms utilizing different cropping systems and nutrient management strategies across five sites in western Kenya. For each soil sample we evaluated a suite of physical and chemical properties and assessed these against the results of simple visual assays that allowed us to measure potential infestation by Fusarium pathogens and LN. We hypothesized that: 1) farms relying on agroecological practices such as organic nutrient inputs (e.g., manure, compost) exhibit reduced Fusarium and LN pressure and improved soil health compared to farms relying on conventional inorganic fertilizers; 2), diversified cropping systems experience lower pest pressure than simpler cropping systems, based on just one or two crops; and 3), site-specific environmental variables, such as soil properties and elevation further explain the variability in Fusarium and LN pressure. We used baiting protocols to assess the abundance of Fusarium and LN in soils collected from 35 smallholder farms. Our findings indicate that agroecological practices such as diversified cropping systems and organic amendments influence soil-borne pathogens and important soil health parameters. For example, organic inputs reduced lesion nematode pressure by 56% compared to inorganic systems, while diversified systems supported higher soil carbon and available phosphorus. These results highlight the importance of agroecological management in maintaining soil health and regulating soil-borne pathogens to improve smallholder productivity.
DOI: 10.17632/jx73jbnj3g
title: In Vivo Protein Turnover Rates in Varying Oxygen Tensions Nominate MYBBP1A as a Novel Mediator of the Hyperoxia Response

description: Western blot original images for "In Vivo Protein Turnover Rates in Varying Oxygen Tensions Nominate MYBBP1A as a Novel Mediator of the Hyperoxia Response"
DOI: 10.17632/fbmtnvnnpr
title: CitySelfy project - Survey local citizens WEF characterisation and willingness to adopt practice and technologies

description: Survey result in the context of the research project CitySelfy supported by Portuguese Science and Technology Foundation (FCT) through the Project PTDC/CTA-AMB/6629/2020 (http://doi.org/10.54499/PTDC/CTA-AMB/6629/2020).
The survey was conducted between July 2nd and August 2nd, 2022, at the respondents’ residences, applying Computer-Assisted Personal Interviews, lasting about 30 minutes each. A representative sample of residents was selected by checking quotas for demographic and
socioeconomic variables, using 4 criteria to set up 3 parallel matrices: Parish vs. Gender vs. Age, Parish vs. Level of Education (3rd cycle of primary school, secondary education, higher education), and Parish vs. Activity Status (active, non-active). The resulting sample universe was made up of 605 individuals of both sexes, aged 18 and over, residing in private homes in the municipality of Cascais.
DOI: 10.17632/k6y6v3pkr2
title: Performance Evaluation Data of a Blockchain-Driven Rice Quality Traceability Model

description: This data series is derived from extensive high-pressure experiments across four key phases: information storage and modification for participating entities, information access, traceability information storage on the blockchain network, and traceability information queries. The results show that as the test scale expands, the system's data throughput increases linearly, confirming the proposed blockchain model's strong scalability and performance stability in handling large-scale data.
DOI: 10.17632/zswb45sk5z
title: Dataset for MgSO4 dissociation by Li et al.

description: Dataset for MgSO4 dissociation by Li et al.
DOI: 10.17632/wwtpcsng76
title: Inverse modelling of core flood experiments for predictive models of sandstone and carbonate rocks

description: This is the open data for the paper Inverse modelling of core flood experiments for predictive models of sandstone and carbonate rocks
DOI: 10.17632/5bvkm76sdc
title: Pillar 3: Pre-processed web server log file dataset of the banking institution

description: The dataset represents the pre-processed web server log file of the commercial bank. The source of data is the web server of the bank and keeps access of web users starting the year 2009 till 2012. It contains accesses to the bank website during and after the financial crisis. Unnecessary data saved by the web server was removed to keep the focus only on the textual content of the website. Many variables were added to the original log file to make the analysis workable. To keep the privacy of website users, sensitive information in the log file were anonymized. The dataset offers the way to understand the behaviour of stakeholders during and after the crisis and how they comply with the Basel regulations.
DOI: 10.17632/f5y2vtrnzh
title: Dataset on studies about physical-digital play technology and developmentally relevant child behaviour

description: This database is linked to the following academic article: "A systematic review of physical-digital play technology and developmentally relevant child behaviour". This data set includes the categorisation of 635 studies retrieved from academic data bases ACM Library, ERIC, PsycINFO, specialised academic conferences and journals working on the areas of Play + Technology + Child development. The articles were searched in May 2018 and categorised in terms of : 1. Entries not related to play for its own sake (connected to learning or other aim instead) n=313 2. Entries not connected to developmentally relevant behaviours n=309 3. Entries not analysing analogue behaviour in digitally enhanced contexts n=214 4. Entries not studying typically developing 0-12 year olds n=161 5. Entries that were not empirical studies n=96 6. Entries not specifying sample size and/or participants' age* n=24 7. Entries that were extended abstracts or did not provide enough information about study* n=16 8. Entries that were quantitative studies with 10 or less cases* n=5 9. Entries that were not peer reviewed* n=3 10. Entries that were not published in English n=0 *Criterion coded over full text of a subset of 123 pre-selected entries only A second version has been uploaded adding 2 extra journal articles published by 13th of May 2018 and specifying with more precision missing data related to entries that were not pre-selected for the review and which, therefore, were not coded in relation to criteria 6 to 9 indicated above.
DOI: 10.6084/m9.figshare.28774901.v1
title: Freezing Induced Incorporation of Betaine Enhances mRNA Delivery of Lipid Nanoparticles After Cryopreservation

description: Freezing Induced Incorporation of Betaine Enhances mRNA Delivery of Lipid Nanoparticles After Cryopreservation
DOI: 10.15468/dl.nuy4ec
title: Occurrence Download

description: A dataset containing 996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Oreochloa disticha (Wulfen) Link",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 996 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012953-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.3566508.v1
title: Appendix C. Self-thinning in the simplest case: derivation of the Law of Constant Final Yield and Yoda's Law.

description: Self-thinning in the simplest case: derivation of the Law of Constant Final Yield and Yoda's Law.
DOI: 10.17632/cbzjzv3sxb
title: Data for: Evaluation of the petrogenetic significance of melt inclusions in pegmatitic schorl-dravite from graphic tourmaline-quartz assemblages: application of LA-ICP-QMS analyses and volume ratio calculations.

description: LA-ICP-QMS spectra database of ablated melt inclusions.
DOI: 10.17632/wy6745bjfj
title: ChEMU dataset for information extraction from chemical patents

description: The discovery of new chemical compounds and their synthesis process is of great importance to the chemical industry. Patent documents contain critical and timely information about newly discovered chemical compounds, providing a rich resource for chemical research in both academia and industry. Chemical patents are often the initial venues where a new chemical compound is disclosed. Only a small proportion of chemical compounds are ever published in journals and these publications can be delayed by up to 3 years after the patent disclosure. In addition, chemical patent documents usually contain unique information, such as reaction steps and experimental conditions for compound synthesis and mode of action. These details are crucial for the understanding of compound prior art, and provide a means for novelty checking and validation. Due to the high volume of chemical patents, approaches that enable automatic information extraction from these patents are in demand. To develop natural language processing methods for large-scale mining of chemical information from patent texts, a corpus is created providing chemical patent snippets and annotated entities and reaction steps.
DOI: 10.17632/z72jt5fb27
title: Artificial intelligence capital stock in Europe, UK, USA and Japan 1995 - 2020

description: Following (Rimmington et al., 2018), we target the EUKLEMS & INTANProd database data on capital stocks, categorized by SIC code and country, including software, databases, computer hardware, and machinery. From their definition of AI, we measure four distinctive AI capital stock categories:
1.	Data and equipment: computing equipment, communication equipment and compute software and databases, chained linked volumes (2015), millions of national currencies.
2.	Research and development: chained linked volumes (2015), millions of national currency.
3.	Intangible assets: organizational capital, brand, industrial design, chained linked volumes (2015), millions of national currency.
4.	Skills: training, labor compensation for NACE_R2 Computer programming, consultancy, and information service activities and NACE_R2 Education, chained linked volumes (2015), millions of national currency.
Building on our methodology, we get a closer proxy for AI stock using the data from (Bontandini et al., 2023) and (Rimmington et al., 2018) approach. We improve them to get more reliable and exact AI stock measurements using four AI dimensional coefficients. The AI dimensional coefficients approach we develop here builds on AI intensify coefficient applied to calculate AI investments (Evas et al., 2022).
We derive four AI dimensional coefficients following (Evas et al., 2022) analysis of AI investments in the EU. These coefficients will enable us to calculate the AI net stock per country accurately. 
1.	AI dimensional coefficient 1 (AI1): number of AI economic players / GDP in billion € (ratio).  For details, see G2: AI player intensity (Righi et al., 2021),
2.	AI dimensional coefficient 2 (AI2): number of AI players in AI R&D / GDP in billion € (ratio). For details, see R1: AI players in AI R&D (Righi et al., 2021),
3.	AI dimensional coefficient 3(AI): University places with AI content in the EU(Bachelor and master level) / GDP in millions € (ratio). For details, see S6: University places with AI content in the EU (Righi et al., 2021). Data for the USA, UK, and Japan for AI dimensional coefficients AI3 were derived using (OECD.AI, 2023),
4.	AI dimensional coefficient 4 (AI4): AI investments in the EU in million € / GDP in billion €, (ratio). For details, see G6: AI investments in the EU (Righi et al., 2022). Data for the USA, UK, and Japan for AI dimensional coefficients AI4 were derived using  - venture capital investments in AI start-ups (OECD.AI, 2023).
We have developed and implemented AI dimensional coefficients (AI1 - AI4) to improve the accuracy of data analysis. Our revised data is presented as follows: Total revised AI net capital stock = AI data and equipment net capital stock x (AI1) + AI research and development net capital stock x (AI2) + AI skills stock net x (AI3) + AI net intangible assets stock x (AI4).
DOI: 10.6084/m9.figshare.12644060.v1
title: Blue Hole Shotgun Metagenome: September 2019, 95 M

description: Shotgun metagenome of the Amberjack Blue Hole water column at 95 m depth sampled in September 2019. Sequencing performed on an Illumina MiSeq with a 2 x 300 bp paired-end protocol.
DOI: 10.6084/m9.figshare.1590048.v1
title: Distribution and Abundance of Birds on York University

description: Data for this experiment was collected over two days, one week apart, between 2:45 pm and 4:45 pm. This was done to account for factors that could not be controlled (such as weather) which may have affected the abundance and distribution of birds on a particular day. Day 1, on Tuesday October 13th, 2015, was cloudy and moderately windy with a temperature of 15°C. Day 2, on Tuesday October 20th, 2015, was cloudy with light rain and low wind with a temperature of 16 °C. All data was gathered from grasslands, woodlots, and urbanized parts of York University's Keele Campus. On Day 1, a total of 16 transects 120 m long were randomly placed along Keele Campus. Eight were placed in urban areas where at least 75% of the area being surveyed was pavement and/or buildings, and eight were placed in natural areas where at least 75% of the area being surveyed was vegetation. On Day 2, a total of 20 transects also 120 m long were randomly placed along Keele Campus. Ten in urban areas and ten in natural areas which matched the same criteria as those in day 1. Each 120 m long transect was measured out using a transect measuring tape and was walked along. Birds that were visually approximated to be within 25 m of either side of the transect and within 15 m of the ground were considered to be using the area and were counted. This entire area (25 m on either side of, and 15 m above the entire 125 m long transect) is considered the area being surveyed upon which the urban and natural areas were defined. Every bird seen was visually categorized into species with reference to a bird identification guide. The number of each species were counted and recorded as each transect was walked along. At the end of each transect, the total number of different species and total number of birds were also counted and recorded. This process was performed for every transect.