cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wxpwddvd4r
title: IMF Neural Dashboard &MacroVision By Prof.Eldirdiri F.Ibrahim et Dr.Afaf Babiker

description: Description of the Dataset
The dataset used in this study was derived from publicly available IMF data, representing a snapshot of selected macroeconomic indicators across multiple countries. It was compiled to include recent historical data, covering variables that reflect economic health and government fiscal stability.
The key features of the dataset include:
Country – Name of the country to which the data point belongs. This enables cross-country comparisons.
Year – The specific year for which the indicator values were recorded, allowing for longitudinal (time-series) analysis.

gdp_usd_billion – Gross Domestic Product measured in billions of US dollars. This is a standard measure of economic output and is essential for comparing the relative size of economies.
inflation_rate – Annual inflation rate expressed as a percentage, reflecting the rate at which the general level of prices for goods and services is rising, and subsequently, the erosion of purchasing power.

unemployment_rate – Percentage of the labor force that is unemployed. This is a critical social and economic indicator of labor market health.

government_debt_pct_gdp – Government debt as a percentage of GDP, which indicates the fiscal leverage of a country and its potential vulnerability to financial crises.
The dataset was gathered from IMF reports and databases using structured downloads in CSV format, ensuring a clean, machine-readable dataset suitable for analysis 
in Python or other data analysis tools. Data cleaning steps included:

Removing or imputing missing values to prevent modeling bias.

Standardizing column names for consistency.

Converting data types to numerical formats for statistical and neural network analysis.
Scaling numeric features to ensure comparability for machine learning models.

RangeIndex: 50 entries, 0 to 49
Data columns (total 7 columns):

 # Column Non-Null Count Dtype 
--- ------ -------------- ----- 
 0 id 50 non-null int64 
 1 country 50 non-null object 
 2 year 50 non-null int64 
 3 gdp_usd_billion 50 non-null float64
 4 inflation_rate 50 non-null float64
 5 unemployment_rate 50 non-null float64
 6 government_debt_pct_gdp 50 non-null float64
dtypes: float64(4), int64(2), object(1)
memory usage: 2.9+ KB
None
أول 5 صفوف:

 id country year gdp_usd_billion inflation_rate unemployment_rate \
0 8 Brazil 2015 1524.14 5.08 4.46 
1 6 China 2015 1769.84 6.50 8.11 
2 4 France 2015 2236.61 1.10 11.71 
3 3 Germany 2015 1094.90 8.76 3.48 
4 7 India 2015 2174.82 6.88 13.48 
 government_debt_pct_gdp 
0
DOI: 10.17632/wxpwddvd4r.1
title: IMF Neural Dashboard &MacroVision By Prof.Eldirdiri F.Ibrahim et Dr.Afaf Babiker

description: Description of the Dataset
The dataset used in this study was derived from publicly available IMF data, representing a snapshot of selected macroeconomic indicators across multiple countries. It was compiled to include recent historical data, covering variables that reflect economic health and government fiscal stability.
The key features of the dataset include:
Country – Name of the country to which the data point belongs. This enables cross-country comparisons.
Year – The specific year for which the indicator values were recorded, allowing for longitudinal (time-series) analysis.

gdp_usd_billion – Gross Domestic Product measured in billions of US dollars. This is a standard measure of economic output and is essential for comparing the relative size of economies.
inflation_rate – Annual inflation rate expressed as a percentage, reflecting the rate at which the general level of prices for goods and services is rising, and subsequently, the erosion of purchasing power.

unemployment_rate – Percentage of the labor force that is unemployed. This is a critical social and economic indicator of labor market health.

government_debt_pct_gdp – Government debt as a percentage of GDP, which indicates the fiscal leverage of a country and its potential vulnerability to financial crises.
The dataset was gathered from IMF reports and databases using structured downloads in CSV format, ensuring a clean, machine-readable dataset suitable for analysis 
in Python or other data analysis tools. Data cleaning steps included:

Removing or imputing missing values to prevent modeling bias.

Standardizing column names for consistency.

Converting data types to numerical formats for statistical and neural network analysis.
Scaling numeric features to ensure comparability for machine learning models.

RangeIndex: 50 entries, 0 to 49
Data columns (total 7 columns):

 # Column Non-Null Count Dtype 
--- ------ -------------- ----- 
 0 id 50 non-null int64 
 1 country 50 non-null object 
 2 year 50 non-null int64 
 3 gdp_usd_billion 50 non-null float64
 4 inflation_rate 50 non-null float64
 5 unemployment_rate 50 non-null float64
 6 government_debt_pct_gdp 50 non-null float64
dtypes: float64(4), int64(2), object(1)
memory usage: 2.9+ KB
None
أول 5 صفوف:

 id country year gdp_usd_billion inflation_rate unemployment_rate \
0 8 Brazil 2015 1524.14 5.08 4.46 
1 6 China 2015 1769.84 6.50 8.11 
2 4 France 2015 2236.61 1.10 11.71 
3 3 Germany 2015 1094.90 8.76 3.48 
4 7 India 2015 2174.82 6.88 13.48 
 government_debt_pct_gdp 
0
DOI: 10.15468/dl.2rajwq
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia peplus",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 191 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035011-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sswzd24scp
title: An Exponential Local Escaping Operator-based African Vultures Optimization Algorithm with Low-discrepancy Initialization

description: An Exponential Local Escaping Operator-based African Vultures Optimization Algorithm with Low-discrepancy Initialization for Engineering Applications
DOI: 10.17632/sswzd24scp.1
title: An Exponential Local Escaping Operator-based African Vultures Optimization Algorithm with Low-discrepancy Initialization

description: An Exponential Local Escaping Operator-based African Vultures Optimization Algorithm with Low-discrepancy Initialization for Engineering Applications
DOI: 10.17632/4yckzvjzcc
title: Executive Equity Incentives and ESG Greenwashing

description: Our sample comprises A-share firms listed on the Shanghai and Shenzhen Stock Exchanges from 2009 to 2022. We exclude financial institutions, observations flagged as special treatment, and firm-years with missing variables used in the baseline specification. The final panel contains 10,501 firm-year observations. ESG performance is measured using Huazheng ESG scores from WIND database; ESG disclosure information is drawn from Bloomberg; and accounting and market variables are obtained from the China Securities Market and Accounting Research database and China Research Data Services. Continuous variables are winsorized at the 1st and 99th percentiles to limit the influence of outliers. All datasets are merged at the firm-year level using standard security identifiers.
DOI: 10.17632/4yckzvjzcc.1
title: Executive Equity Incentives and ESG Greenwashing

description: Our sample comprises A-share firms listed on the Shanghai and Shenzhen Stock Exchanges from 2009 to 2022. We exclude financial institutions, observations flagged as special treatment, and firm-years with missing variables used in the baseline specification. The final panel contains 10,501 firm-year observations. ESG performance is measured using Huazheng ESG scores from WIND database; ESG disclosure information is drawn from Bloomberg; and accounting and market variables are obtained from the China Securities Market and Accounting Research database and China Research Data Services. Continuous variables are winsorized at the 1st and 99th percentiles to limit the influence of outliers. All datasets are merged at the firm-year level using standard security identifiers.
DOI: 10.5065/d60863gg
title: Annual Peak NDVI in Northern Alaska. Version 1.0

description: This dataset contains the 2000 annual peak Normalized Difference Vegetation Index (NDVI) GRID file in northern Alaska. It was calculated from 2000 Alaska biweekly AVHHR dataset provided by the U.S. Geological Survey (USGS).
DOI: 10.17632/j796j4ykfz.2
title: Long-term Variation in Lake Ice in a Large Endorheic Lake Experiencing Shrinkage in a Semi-arid Region

description: field data, model, and model results
DOI: 10.25919/xrcf-r604
title: NBDL Data Download
DOI: 10.5065/d6vm49fz
title: Canadian Transect for the Circumpolar Arctic Vegetation Map (CAVM) Data Report. Version 1.0

description: This dataset includes sampling schemes, site descriptions, soil descriptions and properties, plant species cover, and photographs of the Canadian Transect during July and August of the 1999 ATLAS field season. Files included are Microsoft Word and Excel formats. For more information, see the read-me file.
DOI: 10.5065/d6qv3jq7
title: Barrow Biomass by Functional Type (Excel). Version 1.0

description: This dataset contains biomass data sorted by plant functional type at the Barrow site, for the Arctic Transitions in the Land-Atmosphere System (ATLAS) project. The data were collected in 1999 and are in Excel format. See the README for additional information.
DOI: 10.15468/dl.5g7nmk
title: Occurrence Download

description: A dataset containing 6377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sardinella gibbosa"
 ]
}

 The dataset includes 6377 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035013-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6m32szc
title: Ivotuk Vegetation Species List and Cover Values. Version 1.0

description: This dataset contains vegetation species lists and cover values for the Ivotuk area on the Arctic Slope, Alaska. The data were collected from marked study plots in 1998. For more information, please see the readme file.
DOI: 10.17632/v42vhvx2mf
title: Understory removal effects on litter decomposition and soil microorganisms

description: Supporting data for the responses of litter decomposition and soil microorganisms under understory removal
DOI: 10.5281/zenodo.17238978
title: Data: Widespread reliance of rainfed crops on upwind irrigated agriculture in India

description: The repository contains the scripts and data required to reproduced the final figures in the article: Widespread reliance of rainfed crops on upwind irrigated agriculture in India. Link to the article will be available here once it is published.
DOI: 10.5281/zenodo.17238979
title: Data: Widespread reliance of rainfed crops on upwind irrigated agriculture in India

description: The repository contains the scripts and data required to reproduced the final figures in the article: Widespread reliance of rainfed crops on upwind irrigated agriculture in India. Link to the article will be available here once it is published.
DOI: 10.17632/v42vhvx2mf.1
title: Understory removal effects on litter decomposition and soil microorganisms

description: Supporting data for the responses of litter decomposition and soil microorganisms under understory removal
DOI: 10.15468/dl.aerfbt
title: Occurrence Download

description: A dataset listing the 661 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "GadmGid is PER.18.2.2_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 661 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034999-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t2sct4r2f5
title: Family supportive supervisor behaviours and employee partner wellbeing and relationship satisfaction: The moderating role of line manager behavioural integrity

description: This dataset is available for the manuscrtipt entitled Family supportive supervisor behaviours and employee partner wellbeing and relationship satisfaction: The moderating role of line manager behavioural integrity
DOI: 10.17632/t2sct4r2f5.1
title: Family supportive supervisor behaviours and employee partner wellbeing and relationship satisfaction: The moderating role of line manager behavioural integrity

description: This dataset is available for the manuscrtipt entitled Family supportive supervisor behaviours and employee partner wellbeing and relationship satisfaction: The moderating role of line manager behavioural integrity
DOI: 10.5065/d6gb227f
title: Hourly Average Soil, Air and Ground Temperatures - Council Shrub Site. Version 1.0

description: This dataset contains temperature data of the Shrub Site measured hourly. All data are from Council, Seward Peninsula. For more information, see the readme file.
DOI: 10.17632/ph38r59zx5
title: Heavy Metals

description: Heavy Metals
DOI: 10.17632/ph38r59zx5.1
title: Heavy Metals

description: Heavy Metals
DOI: 10.17632/64cdyys9x4.1
title: Replication package for "Fertility Policy and Household Labor Supply: Evidence from the Universal Two-Child Policy in China"

description: This dataset provides the replication package for the paper “Fertility Policy and Household Labor Supply: Evidence from the Universal Two-Child Policy in China.” 
The package includes all Stata do-files and datasets required to reproduce the empirical results reported in the manuscript.
DOI: 10.5065/d6bk19hq
title: Atqasuk Biomass by Functional Type (Excel). Version 1.0

description: This dataset contains biomass data sorted by plant functional type for the Atqasuk site, for the Arctic Transitions in the Land-Atmosphere System (ATLAS) project. The data were collected in 1999 and are in Excel format. See the README for additional information.
DOI: 10.17632/km53tmscxw.1
title: RoadDamageBD

description: We develop a novel dataset comprising 450 images which are captured by us using mobile phone cameras in Dhaka city, the capital of Bangladesh. This dataset is divided into two classes: broken and non-broken. The former class represents images of damaged roads, while the latter class represents good-conditioned road images. The dataset will be useful for machine learning and deep learning research in computer vision domain. The dataset is ready to be used by machine learning and deep learning algorithms, although careful pre-processing may yield better performance.

Please cite our research paper (link provided in this webpage) when you use this dataset for your research.
DOI: 10.17632/tx867jzn74
title: Data

description: Research data
DOI: 10.17632/tx867jzn74.1
title: Data

description: Research data
DOI: 10.57783/7ddj-sr70
title: LibreChat-TEST
DOI: 10.5065/d66t0js0
title: Barrow Urban Heat Island Air Temperatures (Excel). Version 1.0

description: This dataset contains air temperature data taken from 54 stations near Barrow, Alaska to monitor the urban heat island (UHI) effect. Data is contained within two Excel files, one of daily average air temperatures and the other of daily air temperature ranges. Both the averages and ranges were calculated from 24 hourly readings.
DOI: 10.17632/xh7nc726d8
title: Original ata

description: Orignal data content for a paper on “Sustainable development of natural world heritage sites based on rhythmic analysis”
DOI: 10.17632/xh7nc726d8.1
title: Original ata

description: Orignal data content for a paper on “Sustainable development of natural world heritage sites based on rhythmic analysis”
DOI: 10.15468/dl.7kdpfd
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Wodyetia bifurcata",
 "Year 1970-2010"
 ]
}

 The dataset includes 88 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035015-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tpfhd99v58
title: Intercoder Validation Dataset for Strategic Posture Coding of 10 NASDAQ-100 Firms (2024)

description: This dataset presents an intercoder validation exercise for Ansoff’s Strategic Posture framework, applied to a 2024 sample of ten NASDAQ-100 firms. The purpose is to assess inter-rater reliability in measuring strategic alignment across three coders with distinct evaluation profiles:

Coder A (aggressive): assigns higher turbulence (ETL ≈ 4.7) and emphasizes bold ratings for aligned firms, while moderating misaligned cases around 3.5.

Coder B (conservative): assigns lower turbulence (ETL ≈ 4.1) and uses a restrained mix of 3s and 4s, with few 5s, reflecting a cautious interpretation of strategic behavior.

Coder C (balanced): positioned between A and B, with ETL ≈ 4.6 and moderate ratings across aggressiveness and capability, providing a midpoint perspective.

Each coder independently rated 65 items per firm, drawn from the Optimal Strategic Performance Positioning (OSPP) diagnostic:

25 Environmental Turbulence (ETL) items,

20 Strategic Aggressiveness (SA) items,

20 Capability Responsiveness (CR) items.

Ratings are provided on a 1–5 Likert scale, anchored to observable firm behaviors and industry conditions. The ten firms include both strategically aligned exemplars (e.g., Apple, Microsoft, Amazon, Tesla, Costco) and misaligned cases (e.g., PayPal, Warner Bros. Discovery, Biogen, Kraft Heinz, Charter Communications).

The dataset is organized in a single Excel file with three sheets:

CODER_RATINGS – Long format item-level data (1,950 rows = 3 coders × 10 firms × 65 items).

SUMMARY – Coder-firm means for ETL, SA, and CR, including alignment gaps (SA–ETL, SA–CR) and a simple posture score (X₁ average).

METADATA – Documentation of coder profiles, coding logic, and data dictionary.

This dataset enables reproducibility of intercoder reliability metrics (e.g., Krippendorff’s α, ICC), robustness checks of posture measurement, and sensitivity analyses of gap-based alignment scores. It complements the primary study on Ansoff’s Strategic Success Hypothesis by directly addressing methodological concerns about single-coder designs and demonstrating transparency in the coding process.

All data are based on publicly available firm disclosures, industry reports, and observable strategic actions for 2024. No confidential or proprietary information was used.
DOI: 10.17632/tpfhd99v58.1
title: Intercoder Validation Dataset for Strategic Posture Coding of 10 NASDAQ-100 Firms (2024)

description: This dataset presents an intercoder validation exercise for Ansoff’s Strategic Posture framework, applied to a 2024 sample of ten NASDAQ-100 firms. The purpose is to assess inter-rater reliability in measuring strategic alignment across three coders with distinct evaluation profiles:

Coder A (aggressive): assigns higher turbulence (ETL ≈ 4.7) and emphasizes bold ratings for aligned firms, while moderating misaligned cases around 3.5.

Coder B (conservative): assigns lower turbulence (ETL ≈ 4.1) and uses a restrained mix of 3s and 4s, with few 5s, reflecting a cautious interpretation of strategic behavior.

Coder C (balanced): positioned between A and B, with ETL ≈ 4.6 and moderate ratings across aggressiveness and capability, providing a midpoint perspective.

Each coder independently rated 65 items per firm, drawn from the Optimal Strategic Performance Positioning (OSPP) diagnostic:

25 Environmental Turbulence (ETL) items,

20 Strategic Aggressiveness (SA) items,

20 Capability Responsiveness (CR) items.

Ratings are provided on a 1–5 Likert scale, anchored to observable firm behaviors and industry conditions. The ten firms include both strategically aligned exemplars (e.g., Apple, Microsoft, Amazon, Tesla, Costco) and misaligned cases (e.g., PayPal, Warner Bros. Discovery, Biogen, Kraft Heinz, Charter Communications).

The dataset is organized in a single Excel file with three sheets:

CODER_RATINGS – Long format item-level data (1,950 rows = 3 coders × 10 firms × 65 items).

SUMMARY – Coder-firm means for ETL, SA, and CR, including alignment gaps (SA–ETL, SA–CR) and a simple posture score (X₁ average).

METADATA – Documentation of coder profiles, coding logic, and data dictionary.

This dataset enables reproducibility of intercoder reliability metrics (e.g., Krippendorff’s α, ICC), robustness checks of posture measurement, and sensitivity analyses of gap-based alignment scores. It complements the primary study on Ansoff’s Strategic Success Hypothesis by directly addressing methodological concerns about single-coder designs and demonstrating transparency in the coding process.

All data are based on publicly available firm disclosures, industry reports, and observable strategic actions for 2024. No confidential or proprietary information was used.
DOI: 10.17632/n5mcd9hchp
title: Self-care in the person with chronic disease

description: Most aging populations report chronic illnesses, which are usually permanent or recurrent, significantly affect well-being and quality of life, require daily and consistent healthcare management, and last more than three months. Improved health outcomes and reduced healthcare costs are associated with self-care in treating chronic illnesses. This database describes a protocol for a self-care intervention in a person with a chronic disease. The outcome measures will be compared with measures after the intervention in three different chronologic times. The present study is expected to generate significant information about the role of self-care intervention in persons with chronic disease.
DOI: 10.5065/d6319t2f
title: Ivotuk Snow Temperature Data (ASCII). Version 1.0

description: This dataset contains snow temperature and air temperature measurements taken by the Snow, Shrubs, and Weather Group at the Ivotuk Site and at Kucher creek as part of the ATLAS project. Measurements were taken by Hobo Loggers (Onset Computre Corp) every 2 hours and 24 minutes in the years of 1998, 1999, and 2000.
DOI: 10.17632/n5mcd9hchp.3
title: Self-care in the person with chronic disease

description: Most aging populations report chronic illnesses, which are usually permanent or recurrent, significantly affect well-being and quality of life, require daily and consistent healthcare management, and last more than three months. Improved health outcomes and reduced healthcare costs are associated with self-care in treating chronic illnesses. This database describes a protocol for a self-care intervention in a person with a chronic disease. The outcome measures will be compared with measures after the intervention in three different chronologic times. The present study is expected to generate significant information about the role of self-care intervention in persons with chronic disease.
DOI: 10.17632/h22nvg2962
title: Data

description: ensity Functional Theory (DFT) calculations: optimized structures, energies, and hydrogen-bonding interaction data between WP-derived phenolics and representative VOC molecule
DOI: 10.17632/h22nvg2962.1
title: Data

description: ensity Functional Theory (DFT) calculations: optimized structures, energies, and hydrogen-bonding interaction data between WP-derived phenolics and representative VOC molecule