cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8ymkfw2tgn.1
title: Dara for: Functional traits of plant roots and Collembola determine their tri-trophic interactions with soil microbes

description: Traditionally, leaf litter has been recognized as the main driver of the soil food web, but more recently roots have been shown to play an important role in fueling soil organisms. Root functional traits were shown to have direct effects on microbes and Nematoda, but many black boxes remain such as the effects of root traits on Collembola. Here, in a microcosm experiment, we studied the tri-trophic interactions between roots, microbes and Collembola in relation to ten plant species individually. Our results showed that plant species identity can drive variability in Collembola community structure, and this variability is best explained by root traits and microbial communities. Collembola feeding traits based on mandibular morphology were useful to identify top-down control on microbial communities. Our study also suggests that root traits such as fine root length and root diameter modify Collembola-microbe interactions, probably by modifying soil porosity. Overall, we obtained better results by looking at the whole system, rather than looking at bi-trophic interactions. This illustrates the importance of a holistic approach when studying biotic interactions in soil ecosystems.

The data set included:
- Collembola species abundance / microcosms
- PLFA (phospholipid fatty acids) of microbes / microcosms
- Functional traits value of plant roots
- Functional trait value of Collembola
- Soil chemical data
DOI: 10.17632/bbbcpgks8d.1
title: Internet Usage and Shadow Economy

description: Dataset about Shadow economy and percentage of population using Internet services
DOI: 10.17632/2rwbtptfhy.1
title: Anxiety data

description: The dataset includes data from multiple countries using short version of Taylor Manifest Anxiety Test (TMAS), which consists of 50 Items
DOI: 10.17632/ytxf3tdgkj.1
title: Public debt choices and financial development dataset

description: This data is for 6 East African Community countries for various macroeconomic variables. The data has been converted into natural logarithm.
DOI: 10.17632/zgnmrz3tfd.1
title: Survey-Based Study Evaluating Caregiver Impact of Concomitant Down Syndrome and Hidradenitis Suppurativa

description: The impact on caregivers who support patients with both Down syndrome (DS) and hidradenitis suppurativa (HS) is not well-documented. This survey-based study aims to explore caregiver characteristics and the strain experienced in this unique population.
DOI: 10.17632/4mh37jcrym.1
title: Effect of sampling point density in form data on roundness error calculation using minimum zone reference circle algorithm

description: Ten discretised datasets extracted from raw data, procured using form testing device, for seven specimens of varying diameter between 10 to 50 mm utilised in a comparative study between center searching and circle fitting approaches in minimum zone roundness error evaluation
DOI: 10.15468/dl.qtzy22
title: Occurrence Download

description: A dataset containing 2861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Crotalus atrox Baird & Girard, 1853"
 ]
}

 The dataset includes 2861 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012589-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124304
title: Images from a Historic Buildings Assessment of a Bastle and Bastle-Derivative House at Low Sinderhope Farm, Sinderhope Shield, Allendale, Northumberland 2023

description: This collection comprises images from a historic buildings assessment of a bastle and bastle-derivative house at Low Sinderhope Farm, Sinderhope Shield, Allendale, Northumberland by The Archaeological Practice in 2023.
DOI: 10.5518/1342
title: Data for 'Southern Alaska as a source of atmospheric mineral dust and ice-nucleating particles'

description: Data appearing in our paper titled 'Southern Alaska as a source of atmospheric mineral dust and ice-nucleating particles'.
DOI: 10.17632/z46p52yfrs.1
title: Nomenclature

description: This document includes the list of symbols and abbreviations used in bilevel optimization modeling of the flexibility aggregation.
DOI: 10.15468/dl.6amxq7
title: Occurrence Download

description: A dataset listing the 396 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-79.13866 43.05173,-79.13198 43.0517,-79.13212 43.05891,-79.13874 43.05874,-79.13866 43.05353,-79.13866 43.05173))",
 "OccurrenceStatus is Present",
 "StateProvince is ontario"
 ]
}

 The dataset's 396 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012582-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xs5hzgmfrw.1
title: End-user Profiles

description: This document includes the technical information and the comfort preferences of 20 different residential end-users created by a uniform random function.
DOI: 10.15468/dl.3eq9xd
title: Occurrence Download

description: A dataset containing 20661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 20661 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012588-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14142411
title: Data from the journal article "Individual versus combined effects of warming, elevated CO2 and drought on grassland water uptake and fine root traits"

description: This data file contains all data used in the aforementioned article (DOI: 10.1111/pce.15274). The data was obtained in a long-term multifactor global-change experiment (‘ClimGrass’) in a managed (three cuts, fertilized) C3 grassland near the central European Alps in Styria, Austria (47°29′44.6″N, 14°5′54.6″E). Grassland plots were exposed to six treatments: (i) ambient conditions (control; n = 8); (ii) drought (n = 4); (iii) warming (n = 3); (iv) elevated CO2 (n = 3), (v) future conditions (warming and elevated CO2; n = 3); and (vi) drought in future conditions (warming, elevated CO2 and drought; n = 4). The experiment was conducted during the growing seasons of 2017, 2019, and 2020. The aim was to determine how warming, elevated CO2 and drought individually and interactively affected root water uptake (RWU, calculated from soil water dynamics) as well as the corresponding mass and key traits (specific root length (SRL); specific root area (SRA); mean diameter) of newly produced fine roots (extracted using ingrowth cores) and biomass allocation (fine-root-to-shoot production ratios; R/S ratios). Treatment effects on RWU were studied across varying conditions of soil water content (SWC) and vapour pressure deficit (VPD), referred to as dryness conditions. Fine root characteristics were compared to the maximum hourly in-situ RWU observed. 

The following data is contained in this file (processed as described in the journal article and, importantly, in the supplementary information):- data_SWC: SWC and precipitation, used to calculate RWU (resolution: hourly; figures: 1)- data_RWU_daily: RWU for the main rooting horizon, fractions of total RWU across depth (resolution: daily; figures: 1, 2, 3)- data_RWU_hourly: RWU for the main rooting horizon, SWC, VPD (resolution: hourly; figures: 1, 4, 5)- data_FineRoots: Mass, traits (SRL, SRA, diameter) and maximum hourly RWU of newly produced fine roots across depth, R/S ratios (resolution: three samplings per growing season; figures: 6, 7)

The metadata.xlsx file summarizes the contents of these datasets, including units and descriptions of the variables.

Note below: the name of the project funded by the Austrian Academy of Sciences is ClimGrassHydro.
DOI: 10.5281/zenodo.14142412
title: Data from the journal article "Individual versus combined effects of warming, elevated CO2 and drought on grassland water uptake and fine root traits"

description: This data file contains all data used in the aforementioned article (DOI: 10.1111/pce.15274). The data was obtained in a long-term multifactor global-change experiment (‘ClimGrass’) in a managed (three cuts, fertilized) C3 grassland near the central European Alps in Styria, Austria (47°29′44.6″N, 14°5′54.6″E). Grassland plots were exposed to six treatments: (i) ambient conditions (control; n = 8); (ii) drought (n = 4); (iii) warming (n = 3); (iv) elevated CO2 (n = 3), (v) future conditions (warming and elevated CO2; n = 3); and (vi) drought in future conditions (warming, elevated CO2 and drought; n = 4). The experiment was conducted during the growing seasons of 2017, 2019, and 2020. The aim was to determine how warming, elevated CO2 and drought individually and interactively affected root water uptake (RWU, calculated from soil water dynamics) as well as the corresponding mass and key traits (specific root length (SRL); specific root area (SRA); mean diameter) of newly produced fine roots (extracted using ingrowth cores) and biomass allocation (fine-root-to-shoot production ratios; R/S ratios). Treatment effects on RWU were studied across varying conditions of soil water content (SWC) and vapour pressure deficit (VPD), referred to as dryness conditions. Fine root characteristics were compared to the maximum hourly in-situ RWU observed. 

The following data is contained in this file (processed as described in the journal article and, importantly, in the supplementary information):- data_SWC: SWC and precipitation, used to calculate RWU (resolution: hourly; figures: 1)- data_RWU_daily: RWU for the main rooting horizon, fractions of total RWU across depth (resolution: daily; figures: 1, 2, 3)- data_RWU_hourly: RWU for the main rooting horizon, SWC, VPD (resolution: hourly; figures: 1, 4, 5)- data_FineRoots: Mass, traits (SRL, SRA, diameter) and maximum hourly RWU of newly produced fine roots across depth, R/S ratios (resolution: three samplings per growing season; figures: 6, 7)

The metadata.xlsx file summarizes the contents of these datasets, including units and descriptions of the variables.

Note below: the name of the project funded by the Austrian Academy of Sciences is ClimGrassHydro.
DOI: 10.17632/tg8sfzf33p.1
title: The dynamics of economic growth and income inequality in Romania: a statistical analysis of economic transformation in post-eu accession (2006-2021)

description: Research Hypothesis

The central hypothesis of this study is that economic growth, as represented by Romania's Gross Domestic Product (GDP), significantly impacts income inequality, measured using the GINI index. Specifically:

 Null Hypothesis (H₀): There is no statistically significant relationship between GDP and the GINI index in Romania from 2006 to 2021. This implies that changes in GDP do not influence income inequality.
 Alternative Hypothesis (H₁): There is a statistically significant negative relationship between GDP and the GINI index in Romania from 2006 to 2021. This suggests that as GDP increases, income inequality decreases.

Data Description and Collection

The study relies on secondary data sourced from the World Bank Open Database. Two primary variables were used:

 Gross Domestic Product (GDP):
 Representing Romania's economic output, GDP was measured in constant USD to account for inflation. It reflects the total value of goods and services produced within the country each year.
 This variable serves as the independent variable, influencing income inequality.

 GINI Index:
 The GINI index quantifies income inequality on a scale of 0 to 100, where 0 represents perfect equality and 100 represents maximum inequality.
 This variable acts as the dependent variable, influenced by changes in GDP.

The dataset spans 2006 to 2021, providing a comprehensive view of Romania’s economic and social landscape during its post-European Union (EU) accession period.
Methodology
Linear Regression Analysis

To test the relationship between GDP and the GINI index, a simple linear regression model was constructed.

Diagnostic Checks

Several diagnostic tests were conducted to validate the regression model:

 Residual Analysis: Checked for normality using the Shapiro-Wilk test.
 Homoscedasticity: Assessed using the Breusch-Pagan test to verify constant variance in residuals.
 Autocorrelation: Evaluated using the Durbin-Watson test to detect correlations in residuals over time.

Findings
Model Results

 Correlation Coefficient (R): 0.739
 
 F-Statistic: 16.850 (p = 0.001)
 Indicates that the overall model is statistically significant at a 1% level, reinforcing the relationship between GDP and the GINI index.

 GDP Coefficient (Unstandardized): -2.472E-11
 
 P-Value for GDP Coefficient: 0.001
 Demonstrates that the relationship between GDP and the GINI index is statistically significant.

Diagnostic Test Results

 Homoscedasticity: The Breusch-Pagan test identified evidence of heteroscedasticity (p = 0.033), indicating non-constant variance in residuals.
 Autocorrelation: The Durbin-Watson statistic (1.126) revealed some positive autocorrelation in residuals, suggesting temporal patterns in unexplained factors.
DOI: 10.17632/c82dy27fk7.1
title: Spinal specific lexicon for sentiment analysis of adult spinal deformity patient interviews correlate with SRS22, SF36, and ODI scores: a pilot study of 25 patients

description: Classic health-related quality of life (HRQOL) metrics are cumbersome, time intensive, and carry biases based on the subject’s native language, educational level, and cultural values. Natural language processing (NLP) converts text into quantitative metrics. Sentiment analysis enables subject matter experts to construct domain specific lexicons to assign a value that is either negative (-1) or positive (1) to certain words. The growth of tele-health provides opportunities to apply sentiment analysis to transcripts of adult spinal deformity patient visits to derive a novel and less biased HRQOL metric. Here, we demonstrate the feasibility of constructing a spine specific lexicon for sentiment analysis to derive a HRQOL metric for an adult spinal deformity patient from the transcript of their preoperative tele-health visit. We ask 7 open ended questions about the spinal conditions, treatment and quality of life of twenty five (25) adult patients during tele-health visits. We analyze the Pearson correlation among our sentiment analysis HRQOL metric and established HRQOL metrics (SRS22, SF36, and ODI). The results show statistically significant correlations between (0.43 – 0.74) between our sentiment analysis metric and the conventional metrics. This provides evidence that applying NLP techniques to patient transcripts can yield effective HRQOL metrics. These materials, and source code support this study.
DOI: 10.17632/st64hhxhhy.1
title: Um modelo de recomendação de métricas ágeis para organizações de software

description: A definição das métricas necessárias para auxiliar gerentes de projetos em contextos ágeis no gerenciamento dos seus projetos tende a ser uma tarefa árdua e muitas vezes secundária, uma vez que existem diversas métricas não catalogadas e descentralizadas sendo utilizadas de forma customizada por cada time de acordo com suas necessidades. A Inteligência Artificial tem sido utilizada no desenvolvimento de sistemas de recomendação para as mais diferentes aplicações, desde filmes e músicas em plataformas de streaming a novas compras em portais de vendas de produtos. Assim, o presente trabalho trata da documentação do desenvolvimento de um modelo de recomendação de métricas ágeis, utilizando um dataset de métricas criado através de pesquisas na área acadêmica, entrevistas e surveys com gerentes de projeto e pesquisadores. A recomendação se dará por um sistema web, em que o usuário responderá a perguntas referentes a seus objetivos e características do seu time, recebendo como resultado da recomendação do modelo de Machine Learning métricas que se encaixam em suas necessidades.
DOI: 10.17632/jsrx6tg24c.1
title: Adverse events after hedgehog inhibitor therapy: A global, propensity matched, retrospective cohort study supplemental figures

description: Supplemental datâ for the article "Adverse events after hedgehog inhibitor therapy: A global, propensity matched, retrospective cohort study"

Legend: 
Mendeley supplemental table 1. Screening flow diagram for primary analysis
DOI: 10.17632/j2f9xdhnby.1
title: Temperature

description: This data presents the temperature recorded during one day in Coimbra, a city in center of Portugal.
DOI: 10.17632/7yhsstw9n4.1
title: Base Load_PV_Wind Power Production

description: This excel file includes three sheets. The first sheet contains the consumption power of the uncontrollable load of one-day energy planning of a residential end-user. The second sheet contains the local photovoltaic power generation of a residential building. The third sheet contains the local wind power generation of a residential building.
DOI: 10.17632/x99m8tx4gk.1
title: Hydrothermal gas along the Yushu-Ganzi-Xianshuihe Fault in eastern Tibet

description: The dataset includes locations, temperatures, and gas geochemistry of hydrothermal gas along the Yushu-Ganzi-Xianshuihe Fault in eastern Tibet
DOI: 10.17632/3sjms2g2mf.1
title: Comprehensive Post-Traumatic Stress Disorder (PTSD) Analysis Dataset for Demographic and Symptom Insights

description: This dataset is focused on analyzing Post-Traumatic Stress Disorder (PTSD) characteristics, designed to aid in understanding PTSD across diverse demographics and contexts. The dataset comprises comprehensive information on individuals affected by PTSD, capturing key variables to support in-depth analysis of symptoms, demographics, and possible treatment outcomes.This dataset contains 20,000 records related to Post-Traumatic Stress Disorder (PTSD) and associated variables. It aims to support research and analysis in understanding PTSD characteristics, risk factors, and outcomes across diverse populations. The dataset could include columns representing demographic information, symptom severity, possible co-morbidities, treatment history, and other relevant factors that influence PTSD diagnosis and progression. Key columns include:
message
page_id
post_id
react_angry
react_haha
react_like
react_love
react_sad
react_wow
scrape_time
Data was collected from online social media platforms like twitter, facebook, Instagram. This dataset offers valuable insights into PTSD's prevalence, severity, and response to treatment, making it an essential resource for psychological research and treatment evaluation in the field of mental health. Each entry represents an individual case, with fields capturing both quantitative and qualitative data to enable detailed statistical analysis. This dataset could be particularly valuable for exploring patterns, treatment efficacy, and correlations among various factors impacting PTSD patients.
DOI: 10.17632/8w42wcb6db.1
title: Earthquake catalogue along the Yushu-Ganzi-Xianshuihe Fault in Eastern Tibet

description: The data is the earthquake catalogue along the Yushu-Ganzi-Xianshuihe Fault in Eastern Tibet
DOI: 10.15468/dl.7vr9rh
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms"
 ]
}

 The dataset includes 162 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012591-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/77bkwmbg5g.1
title: TBP bookmarks and preserves neural stem cell fate memory by orchestrating local chromatin architecture. Yuying Shen et al.

description: Source data files of the article “TBP bookmarks and preserves neural stem cell fate memory by orchestrating local chromatin architecture”

Yuying Shen1, Kun Liu1,2, Jie Liu1, Jingwen Shen3, Tongtong Ye1, Runxiang Zhao1, Rulan Zhang1, Yan Song1,2,4,*

1Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, School of Life Sciences, Peking University, Beijing 100871, China 
2Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
3Current address: Duke Regeneration Center, Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA
4Lead Contact
*Correspondence: yan.song@pku.edu.cn
DOI: 10.17632/p4jr5cjf3d.1
title: RW4 November 2024

description: This folder is associated with a Research paper in which the link to this folder is given, so that the code and results can be used/verified by the readers of the paper.
DOI: 10.17632/sf3c3fkk4r.1
title: Elastically isotropic auxetic and zero-Poisson's ratio TPMS-based metamaterials

description: Compression test data. File naming convention:
1) First character: Poisson's ratio (Positive, Zero, or Negative)
2) Second character: Loading direction (1, 2 or 3)
3) Third character: Sample repeat (A or B)
DOI: 10.17632/bdw6jcj4zt.1
title: Effects of low-severity fire on carbon dynamics in permafrost peatlands of the Great Khingan Mountains (Northeast China)

description: data from: Effects of low-severity fire on carbon dynamics in permafrost peatlands of the Great Khingan Mountains (Northeast China)
DOI: 10.17632/gmjf2wjkz4.1
title: Homology donor sequences for organelle IP tagging

description: Multipart GenBank file (text format) containing annotated nucleotide sequence of all HDR homology donors used to generate the cell-wide collection of tagged organelle markers described in doi.org/10.1101/2023.12.18.572249. Can be opened with any DNA sequence viewer (e.g. Benchling).
DOI: 10.17632/2vdhhxm9jr.1
title: Journal of Islam and Social Sciences; No.2

description: The journal is set to publish original articles on a wide range of issues including;

 Social philosophy: (in the Quran and other religious texts and the tradition, in the thought of Muslim scholars and comparison of different attitudes and approaches);
 Philosophy of social sciences: (in Islamic sources, convergence and divergence of different perspectives);
 Methodology of social sciences: (review of their function and their role in Islamic religious-Islamic social sciences);
 Social thoughts of Muslim thinkers: (social issues and strategic theories, theories, areas of sociology including sociology of religion, sociology of knowledge, historical sociology, cultural sociology);
 Religious theorizing (inferred from Islamic resources) on social issues;
 Reviewing and comparing social religious propositions of different religions with each other;
 Religious-Islamic sociology (subject, methods, theories, analysis and critique of approaches, goals and application, the relation of Islamic sociology with dominant paradigms in sociology, the role and application of Islamic sociology in Islamic and non-Islamic societies);

To let individual researchers and libraries have access to the most recent research findings in the field, the journal allows open-access to its articles. This journal utilizes the Magiran and Noormags preservation systems to create a distributed archiving system for individual and libraries and to permit libraries stakeholders to create permanent archives of the journal.