cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3cxdf2z85v.1
title: Increasing Renewable Energy Investments in Sustainable Business with Bibliometric Analysis

description: This study aims to examine the dynamics of renewable energy investment in sustainable business by utilizing a bibliometric approach. This research is important because of the growing global emphasis on climate change mitigation and the transition from conventional fossil fuels to cleaner energy sources, which places investment in renewable energy as a strategic priority for industry and policymakers. A total of 1,262 publications covering the period 1995 to 2025 were drawn from leading scientific databases to uncover key trends, influential journals, and popular keywords in the field. Through data processing and visualization, bibliometric analysis highlights an important surge in publications after 2010, which shows increased awareness of the need for sustainable energy solutions. The findings revealed that the discussion included not only technological aspects but also policy frameworks, financial mechanisms, and business strategies, signaling a holistic understanding of renewable energy implementation. Further results show that more and more academics and practitioners recognize the important role of innovation and collaboration across sectors. Overall, the study offers a comprehensive mapping of research developments in renewable energy investment in the context of sustainable business, guiding stakeholders to develop effective strategies and policies that facilitate economic growth and environmental conservation.
DOI: 10.17632/r239rh746h.1
title: Monoculture-experiment evidence that plant species identity regulates soil biota attributes and soil functions

description: Understanding how plant species identity modulates soil biota and their functions is a pivotal aspect in plant-soil interactions. In a three-year in situ monoculture experiment conducted on Inner Mongolia grasslands, we examined species identity-driven variations in soil microbe and nematode (biomass, richness, and structure), and soil carbon and nitrogen mineralization rates across 14 distinct plant species from 4 functional groups. Results showed that biomass or abundance of soil biota in annuals and biennials group was higher than that of other functional groups with relatively conservative strategies, but richness of soil biota tended to decrease. Piecewise SEM analysis revealed that effects of plant identity on attributes of soil microbe were mainly related to plant size traits, while effects of plant identity on attributes of nematodes were related to plant size traits and nematode resources. Plant species identity also affected the decomposition of soil organic carbon, with these changes in soil functions directly associated with the attributes of bacteria and fungi and plant size traits. Our findings demonstrate that effects of plant identity on the attributes of multiple functional groups in soil biota are mainly through strong bottom-up cascading effects, providing insight into plant-soil interaction studies from a species-based perspective. These findings will improve our ability to forecast the effects of changes in plant performance and plant community composition caused by future global change on soil biota communities and soil functions in grasslands.
DOI: 10.15468/dl.a4enf5
title: Occurrence Download

description: A dataset containing 38718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is eButterfly Surveys",
 "Geometry POLYGON((-75.09277 40.81391,-68.94282 40.81391,-68.94282 43.27284,-75.09277 43.27284,-75.09277 40.81391))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 38718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001211-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15002834
title: PNpedia

description: This repository was created to make lengthy post-Newtonian results:



easier to find, by putting all known results in one place

more traceable, by collecting the various references in the literature in one place and flagging known discrepancies and typos

more user-friendly, by including associated machine-readable files (in Wolfram language format)

more reliable, by allowing users to endorse a result they agree with, and raise issues when typos or disagreements have been identified


Currently, the scope of this repository is complete, fully analytical, post-Newtonian results for the two-body problem in general relativity. Partial results, semi-analytical, many-body results or alternative theories of gravity are at this stage outside the scope of this repository.

The repository currently contains two main directories:



Publications, which is compendium of publications and the machine-readable post-Newtonian results associated to them. Publications are referenced preferably by their arXiv number, if it exists, otherwise by their journal reference.

Core post-Newtonian quantities, which aims to contain machine-readable files corresponding to the state of the art of post-Newtonian predictions for gravitational waveforms. It is structured using nested directories.


Alongside each machine-readable file (or collection of files), there should be a README.md file. This file should contain:



the description of the physical quantity presented

the notation used

the reference(s) of the result, and potential known typos and disagreements

a list of endorsers


Currently, the results are quite scarce, because it is intended to be a collaborative effort. Users are encourage to raise a pull request to:



upload a missing machine-readable file

endorse an available machine-readable file

add or correct references or notations in the README.md files

raise an issue if they have a disagreement with an available machine-readable file


Suggestions are also welcome.

If you have used this repository for your academic work, please acknowledge it by citing the repository. For this, just click on Cite this repository in the About section of the right-hand side of the page, and copy-paste the BibTeX file.
DOI: 10.5281/zenodo.15002835
title: PNpedia

description: This repository was created to make lengthy post-Newtonian results:



easier to find, by putting all known results in one place

more traceable, by collecting the various references in the literature in one place and flagging known discrepancies and typos

more user-friendly, by including associated machine-readable files (in Wolfram language format)

more reliable, by allowing users to endorse a result they agree with, and raise issues when typos or disagreements have been identified


Currently, the scope of this repository is complete, fully analytical, post-Newtonian results for the two-body problem in general relativity. Partial results, semi-analytical, many-body results or alternative theories of gravity are at this stage outside the scope of this repository.

The repository currently contains two main directories:



Publications, which is compendium of publications and the machine-readable post-Newtonian results associated to them. Publications are referenced preferably by their arXiv number, if it exists, otherwise by their journal reference.

Core post-Newtonian quantities, which aims to contain machine-readable files corresponding to the state of the art of post-Newtonian predictions for gravitational waveforms. It is structured using nested directories.


Alongside each machine-readable file (or collection of files), there should be a README.md file. This file should contain:



the description of the physical quantity presented

the notation used

the reference(s) of the result, and potential known typos and disagreements

a list of endorsers


Currently, the results are quite scarce, because it is intended to be a collaborative effort. Users are encourage to raise a pull request to:



upload a missing machine-readable file

endorse an available machine-readable file

add or correct references or notations in the README.md files

raise an issue if they have a disagreement with an available machine-readable file


Suggestions are also welcome.

If you have used this repository for your academic work, please acknowledge it by citing the repository. For this, just click on Cite this repository in the About section of the right-hand side of the page, and copy-paste the BibTeX file.
DOI: 10.15468/dl.62feh8
title: Occurrence Download

description: A dataset containing 349546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesostigmata",
 "Year is greater than or equal to 2000",
 "Continent is Europe"
 ]
}

 The dataset includes 349546 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001200-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2py5gb6xh7.1
title: Hate speech driven emotion recognition dataset for Bangla text

description: Hate speech detection and emotion recognition are emerging research fields for Natural Language Processing (NLP). The text that expresses hate speech also convey some emotion. Hence, hate speech and emotion recognition are related research areas. Therefore, attention is necessary to combine both fields in the same research. With this motivation, a multilevel dataset for natural Bangla text is proposed for Bangla hate speech and emotion recognition. The dataset contains 16407 statements collected from natural comments and categorized into two labels. Firstly, it is categorized as either hate or non-hate. Then, each category is further divided into three emotions: happy, sad, and angry. The dataset is validated with Cohen’s Kappa and Fliess’ Kappa measures that show good scores. The dataset can be applicable to machine learning and natural language processing tasks for Bangla text.
DOI: 10.17632/h2c2w5sgbx.1
title: Automating Knowledge: A Case Study of Library Automation in of College Libraries of Dadra and Nagar Haveli

description: Research Design:
Mixed-methods approach, combining quantitative and qualitative methods.
Data Collection:
- Survey questionnaire (Google Forms) with 500 respondents from 10 college libraries.
- In-depth interviews with 20 librarians and library administrators.
- Observational studies in 5 college libraries.
Data Analysis:
- Descriptive statistics (mean, median, mode, standard deviation).
- Inferential statistics (t-tests, ANOVA).
- Thematic analysis for qualitative data.
Instruments and Software:
- Google Forms
- Microsoft Excel
- SPSS
- NVivo
Protocols:
- Survey protocol: pilot-tested with a small group.
- Interview protocol: used an interview guide.
Workflows:
- Data cleaning and validation.
DOI: 10.17632/ycc22ktys6.1
title: Individual Thigh Muscle Segmentation Dataset

description: This dataset includes individual segmentation results of the thigh muscles from each participant. Each entry represents the precise delineation of the thigh muscle regions, enabling both quantitative analysis of muscle morphology and related physiological characteristics.
DOI: 10.15468/dl.f5tx9m
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tomoglossa luteicornis (Erichson, 1837)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001212-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mm3wmgchkf.1
title: Global Land and Biodiversity Data: Mapping Ecosystem Changes

description: This dataset examines the relationship between land use changes and biodiversity trends over time, covering the years 2005, 2010, 2021, and 2024. The primary source of raw data is the UN Data for Environment: Land Estimates, last updated in November 2024. It helps researchers, policymakers, and environmentalists analyze how human activities impact ecosystems and biodiversity conservation efforts.

Research Hypothesis:
We hypothesize that increased agricultural land use and deforestation correlate with a decline in biodiversity protection. Specifically:

Higher arable land percentages lead to lower forest cover and fewer protected biodiversity sites.
Countries with stronger conservation policies will show higher biodiversity protection values despite land use changes.
Regional differences will depend on policy interventions, climate conditions, and economic development.

Key Findings:
Deforestation is increasing in several regions due to agricultural expansion.
Biodiversity protection efforts are uneven, with some countries improving and others stagnating.
Some nations successfully balance agriculture and conservation, while others struggle with sustainability.

Dataset Structure
The dataset has two key components:

🌍 Land Use Data (final_filtered_countries_cleaned.csv)
Country & Year – Tracks changes over time
Arable Land % – Land used for crops
Forests % – Land covered by forests
Crops % – Land for permanent crops
Use – Helps monitor deforestation and land degradation trends
🦋 Biodiversity Data (bio_countries_cleaned.csv)
Country & Year – Tracks biodiversity indicators
Series – Description of the indicator measured
Value – % of key biodiversity sites under protection
Use – Helps track conservation and biodiversity protection
How to Interpret the Data
High arable land percentages & declining forest cover → Rapid agricultural expansion.
Increasing protected biodiversity sites → Effective conservation policies.
Year-to-year comparisons → Identify trends and policy effectiveness.
Cross-country comparisons → Understand sustainable land-use practices.
Applications & Importance
✔ Tracking Environmental Changes – Helps monitor deforestation and biodiversity loss.
✔ Policy Decision-Making – Supports sustainable land-use planning.
✔ Sustainable Development Goals (SDG 15) – Provides insights into forest and biodiversity conservation.
✔ Scientific Research & Climate Studies – Helps study climate change impacts.
✔ Educational Use – Real-world data for students and educators.

This dataset is a valuable resource for understanding land use, conservation policies, and biodiversity protection worldwide.
DOI: 10.15468/dl.u3k5br
title: Occurrence Download

description: A dataset containing 66530 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mammals Specimens"
 ]
}

 The dataset includes 66530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001210-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxv5ek
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-72.16643 5.84518,-75.38137 6.62557,-76.72715 2.90085,-72.65241 1.33189,-71.23186 5.43596,-72.16643 5.84518))",
 "TaxonKey is Bradypus Linnaeus, 1758"
 ]
}

 The dataset includes 51 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001214-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/48fmp84yyn.1
title: Soil samples

description: 364 soil samples.
DOI: 10.15468/dl.7nje58
title: Occurrence Download

description: A dataset containing 2144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scolytus multistriatus (T.Marsham, 1802))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2144 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001213-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3fd8bkwfh3.1
title: IRI-SKEM-EGCG

description: Since oxidative stress and neutrophil infiltration play a central role in ischemia-reperfusion injury (IRI), the effects of epigallocatechin gallate (EGCG) on neutrophil infiltration-related markers were investigated. The IRI model utilizing an elastic rubber band was 4 + 2 h (IRI group). In sham-control (SC) group, all steps but band binding were preserved. Saline (10 mL/kg/i.p.) and EGCG (25 and 50 mg/kg/i.p.) were administered 30 minutes before the reperfusion (IRI-SF, IRI-25, and IRI-50 groups). Creatine phosphokinase (CPK), lactate dehydrogenase (LDH), total oxidant status (TOS), total antioxidant status (TAS), myeloperoxidase (MPO), E-selectin, P-selectin, L-selectin, intercellular adhesion molecule-1 (ICAM-1), and various cytokines (IL-1β, IL-6, TNF-) were determined in serum and gastrocnemius muscle samples. CPK, LDH, and TOS levels were higher in the IRI group compared to the SC group; insignificant decreases were observed in the IRI-50 group compared to the IRI group. Regarding TAS, a visible decrease was seen in the IRI compared to SC group, which was significantly increased by 50 mg/kg of EGCG. Regarding remaining parameters, statistically insignificant increases in IRI compared to SC and decreases in the EGCG-treated versus IRI groups were detected. We claim that EGCG might have a beneficial effect via an interaction with neutrophil infiltration-related markers.
DOI: 10.5066/p15fsgas
title: Rio Grande chub and sucker habitat suitability in the United States and Mexico, 2012-2099

description: Scripts and data that make up the habitat suitability analysis used in the Rio Grande Chub and Sucker Species Status Assessment (SSA).

The scripts fall into two categories (as reflected in the src subdirectories):
1. Data processing to create Maxent inputs
2. Analysis and visualization of Maxent outputs

Datasets include:
1. Data used to create habitat suitability predictors, in the present and in future scenarios
2. Relevant geographic data (e.g. boundaries, flowlines)
3. Predictor information formatted for input into Maxent

Also included:
1. Maxent outputs from all runs used to produce the final results reported in the SSA. The details of each Maxent run are recorded in the logfile of its corresponding folder.

NOTE: This data release does not include occurrence data or Maxent batch files. Most of the occurrence data used in this analysis is taken from a database maintained by the states, that is not publicly accessible.
DOI: 10.17632/6vxr95s5g5
title: Paper FRSCC

description: This data supports the findings of the study "Feasibility of steel fiber-reinforced self-compacting concrete containing recycled aggregates – Compliance with EFNARC guidelines" submitted to International Journal of Sustainable Engineering.
DOI: 10.17632/6vxr95s5g5.1
title: Paper FRSCC

description: This data supports the findings of the study "Feasibility of steel fiber-reinforced self-compacting concrete containing recycled aggregates – Compliance with EFNARC guidelines" submitted to International Journal of Sustainable Engineering.
DOI: 10.17632/tgfsc5w62c.1
title: Determinants of Public Spending Efficiency: The Role of Institutions, Natural Resources Rents, and Economic Policies

description: Data from 147 countries for the years 2010 and 2022 gathered from various sources, allow the calculation of public spending performance (PSP) on the basis of opportunity and Musgravian indicators. Public spending Efficiency (PSE) scores are then derived using Data Envelopment Analysis using the level of public spending (as % of GDP) as input and PSP as output. Simarwilson (2007) procedure is finally employed to analyze the determinants of public spending (in)efficiency using a host of explaining variables. The results indicate that inefficiency averages 33% in 2010 and 28% in 2022, meaning that countries have reduced inefficiency by 5% over the period, mainly by middle-income countries, and could reduce it further. Key elements for achieving this include in-depth institutional reform, accelerating digitization, improving human capital, developing the financial sector, liberalizing the economy, downsizing the administration and channeling natural resources’ rents towards productive development initiatives.
DOI: 10.6084/m9.figshare.28570298
title: (Plos one)PONE-D-24-45392_database set.xlsx

description: Iodine is an essential micronutrient for the synthesis of thyroid hormones. Koreans have a tradition of consuming seaweed soup during the postpartum period, leading to a rapid increase in iodine intake in lactating women. Concerns have been raised over the large consumption of seaweed, resulting in excessive iodine intake. However, there have not been enough studies to determine the effect of excessive iodine intake through seaweed on the thyroid hormone functions of lactating women. This study used a prospective cohort of Korean postpartum women to investigate the relationship between iodine derived from seaweed intake and thyroid hormone. This study recruited 147 postpartum women within two weeks after childbirth, and 81 participated again in the follow-up study after one year. At the time of initial recruitment, dietary records including seaweed soup during the postpartum period (8 weeks), thyroid hormone levels, urinary iodine concentration (UIC), and infant growth indicators, were evaluated. In the one-year follow-up, it was evaluated in the same way. Fisher’s exact test was used to test the relationship between iodine intake during the postpartum period and thyroid hormones. The ratio of participants whose thyroid hormones (T3, FT4, and TSH) were out of the normal range was calculated for each quartile group according to iodine intake for the postpartum period and showed no significant difference between the four groups [T3: P = 0.2181; FT4: P = 0.1591; TSH; P =0.3251]. This relationship was also observed after one year [T3: P = 0.9721; FT4: P = 0.0589; TSH; P =0.7476]. Dietary iodine intake during the postpartum period and one year after had no relationship with thyroid hormone functions. Our findings suggested that a temporary increase in iodine intake during the postpartum period had no relationship with thyroid hormone functions. To confirm the results of this study further, a large follow-up study targeting postpartum women will be necessary.
DOI: 10.17632/tgfsc5w62c.2
title: Public Spending Efficiency determinants New evidence using Simar and Wilson two-stage efficiency analysis

description: Data from 147 countries for the years 2010 and 2022 gathered from various sources, allow the calculation of public spending performance (PSP) on the basis of opportunity and Musgravian indicators. Public spending Efficiency (PSE) scores are then derived using Data Envelopment Analysis using the level of public spending (as % of GDP) as input and PSP as output. Simar and Wilson (2007) approach is finally employed to analyze the determinants of public spending (in)efficiency using a host of environmental variables. The results indicate that inefficiency averages 31% in 2010 and 28% in 2022, meaning that countries have reduced inefficiency by 3% over the period, mainly by middle-income countries, and could reduce it further. Economic complexity, financial development and trade openness are shown to be powerful efficiency enhancers, in contrast to natural resources rents. The benefits of private investment are inconclusive, while debt and FDI inflows are insignificant, indicating the complexity of the relationship between these factors and PSE, and highlighting the need for targeted development projects, better regulatory frameworks, and accountability mechanisms to reap their benefits.