cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2jkhncb5kw
title: Comparison of Cervical and Ocular Vestibular Evoked Myogenic Potentials Among Individuals with Hearing Impairment Aged 50–70 Years

description: The data consists of c-VEMP and o-VEMP responses between two groups of individuals with mild to moderately severe degree sensorineural hearing impairment
Group A: 50-60 years individuals
Group B: 60.1-70 years individuals

Hypotheses of the study:
c-VEMP:

• There will be no statistical significant difference in the latency of P13 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the latency of N23 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of P13 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of N23 peak on c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 

o-VEMP:

• There will be no statistical significant difference in the latency of N10 peak on o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the latency of P15 peak on o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of N10 peak in o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of P15 peak in o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 

Statistical analysis was performed using SPSS software and it revealed no significant difference in latency and significant difference in amplitude of c-VEMP among individuals with 50-60 and 60.1-70 years and significant difference in latency and
DOI: 10.17632/2jkhncb5kw.1
title: Comparison of Cervical and Ocular Vestibular Evoked Myogenic Potentials Among Individuals with Hearing Impairment Aged 50–70 Years

description: The data consists of c-VEMP and o-VEMP responses between two groups of individuals with mild to moderately severe degree sensorineural hearing impairment
Group A: 50-60 years individuals
Group B: 60.1-70 years individuals

Hypotheses of the study:
c-VEMP:

• There will be no statistical significant difference in the latency of P13 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the latency of N23 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of P13 peak of c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of N23 peak on c-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 

o-VEMP:

• There will be no statistical significant difference in the latency of N10 peak on o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the latency of P15 peak on o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of N10 peak in o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 
• There will be no statistical significant difference in the amplitude of P15 peak in o-VEMP among individuals with hearing impairment between 50-60 and 60.1-70 years. 

Statistical analysis was performed using SPSS software and it revealed no significant difference in latency and significant difference in amplitude of c-VEMP among individuals with 50-60 and 60.1-70 years and significant difference in latency and
DOI: 10.15468/dl.xtq5pb
title: Occurrence Download

description: A dataset listing the 132 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fungal Inventarisation Urwitałt - KBMikro 2024/2025 Project",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 132 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068475-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7c3my
title: Occurrence Download

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Abies alba natural populations of Italy and Balkans (IBBR-ABIES-ALBA)"
 ]
}

 The dataset includes 1167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068479-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cecend
title: Occurrence Download

description: A dataset containing 10278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (061b4f20-f241-11da-a328-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, 2cd829bb-b713-433d-99cf-64bef11e5b3e)",
 "TaxonKey is Sarcolaenaceae"
 ]
}

 The dataset includes 10278 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068480-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ghh4h9972p.2
title: Uneven benefits from trade liberalization: Tariff barriers and labor migration in China

description: Title: "Uneven benefits from trade liberalization: Tariff barriers and labor migration in China"
Replication files: Research data and codes.

Directory Structure
├── migration.dta # Main dataset
├── migration.do # Master analysis script
├── output/ # Generated tables
├── plot/
│ ├── plot_china.do # Figure generation script
│ ├── china_city_coord.dta # Geospatial data for maps
│ ├── china_city_db.dta # Geospatial data for maps
│ ├── china_city_line_db.dta # Geospatial data for maps
│ ├── china_city_line_coord.dta # Geospatial data for maps
│ ├── plot_data.dta # Prefecture-level metrics
│ └── wage_data.dta # Prefecture-level metrics
└── README.pdf # This document
Replicate Tables 2–11, A2, A3
1. Open “migration.do” and “migration.dta” in Stata.
2. Set working directory (line 4).
3. Run the entire script (Do &gt; Run or do migration.do).
4. Outputs: Tables saved as .doc and .txt files in output/.
Replicate Figure 1(a)–(d)
1. Navigate to the plot/ folder and open “plot_china.do” in Stata.
2. Set working directory (line 3).
3. Run the entire script (Do &gt; Run or do plot_china.do).
4. Outputs: Tables saved as .png files in plot/.
DOI: 10.15468/dl.bswhbv
title: Occurrence Download

description: A dataset containing 2762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (061b4f20-f241-11da-a328-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, 2cd829bb-b713-433d-99cf-64bef11e5b3e)",
 "TaxonKey is Abrahamia"
 ]
}

 The dataset includes 2762 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068481-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/njh5rn9f86
title: Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: A review of methods, sensors and study areas

description: This .rar file (Supplementary_Files.rar) contains the supplementary files of the study "Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: A review of methods, sensors and study areas".

In the published version of this study, the following reference was mistakenly cited as:

Asrar, G., and G. Asrar. (1989). Theory and Applications of Optical Remote Sensing. Transactions of the Institute of British Geographers, 18(1), 159. https://doi.org/10.2307/623085.

This digital identifier of an object (DOI) actually corresponds to a review note published in Transactions of the Institute of British Geographers, rather than the book itself. Since the intended citation in the manuscript refers to the book, the correct reference should be:

Asrar, G., 1989. Theory and Applications of Optical Remote Sensing. New York: Wiley. Print. Available from: https://search.library.ucla.edu/discovery/fulldisplay/alma9931726993606533/01UCS_LAL:UCLA (accessed 11 February 2025).

This correction does not affect the content, interpretation or conclusions of the study, as the mentioned source was cited only for general background support along with several other relevant references.
DOI: 10.17632/njh5rn9f86.2
title: Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: A review of methods, sensors and study areas

description: This .rar file (Supplementary_Files.rar) contains the supplementary files of the study "Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: A review of methods, sensors and study areas".

In the published version of this study, the following reference was mistakenly cited as:

Asrar, G., and G. Asrar. (1989). Theory and Applications of Optical Remote Sensing. Transactions of the Institute of British Geographers, 18(1), 159. https://doi.org/10.2307/623085.

This digital identifier of an object (DOI) actually corresponds to a review note published in Transactions of the Institute of British Geographers, rather than the book itself. Since the intended citation in the manuscript refers to the book, the correct reference should be:

Asrar, G., 1989. Theory and Applications of Optical Remote Sensing. New York: Wiley. Print. Available from: https://search.library.ucla.edu/discovery/fulldisplay/alma9931726993606533/01UCS_LAL:UCLA (accessed 11 February 2025).

This correction does not affect the content, interpretation or conclusions of the study, as the mentioned source was cited only for general background support along with several other relevant references.
DOI: 10.17632/mcyv3zhj2y
title: Dataset on social and behavioural determinants of healthcare-seeking and satisfaction among rural adults in Bangladesh

description: This dataset contains cross-sectional survey data from 374 rural adults in Bangladesh, focusing on healthcare-seeking behaviors and treatment satisfaction. It features 17 categorical variables, including socio-demographic profiles (age, gender, education), economic indicators (income, house type), and behavioral factors (source of health information, reason for treatment choice, and transport means).

The data is structured to identify the various social and environmental determinants that influence healthcare utilization and patient satisfaction in rural settings. It serves as a resource for researchers and policy-makers investigating health service accessibility and quality of care in developing country contexts.
DOI: 10.17632/mcyv3zhj2y.1
title: Dataset on social and behavioural determinants of healthcare-seeking and satisfaction among rural adults in Bangladesh

description: This dataset contains cross-sectional survey data from 374 rural adults in Bangladesh, focusing on healthcare-seeking behaviors and treatment satisfaction. It features 17 categorical variables, including socio-demographic profiles (age, gender, education), economic indicators (income, house type), and behavioral factors (source of health information, reason for treatment choice, and transport means).

The data is structured to identify the various social and environmental determinants that influence healthcare utilization and patient satisfaction in rural settings. It serves as a resource for researchers and policy-makers investigating health service accessibility and quality of care in developing country contexts.
DOI: 10.17632/xvmyvhfzj3
title: Dopamin

description: This dataset contains computational and spectroscopic data related to dopamine and its molecular interactions. It includes Gaussian 16 output files (.log) for geometry-optimized structures, vibrational frequencies, electronic properties, and molecular orbital analyses (e.g., HOMO-LUMO) of dopamine in its neutral and protonated forms. The calculations were performed using density functional theory (DFT) with the B3LYP functional and 6-311++G(d,p) basis set in aqueous phase (via PCM solvation model).

The dataset may also include simulated IR and UV-Vis spectra, Cartesian coordinates, and thermochemical parameters. These data support studies on dopamine’s reactivity, binding behavior with metal ions, and potential roles in neurochemical or pharmaceutical contexts.

All files are provided in plain text format and can be visualized or further analyzed using computational chemistry software such as GaussView, Avogadro, or Multiwfn.
DOI: 10.17632/xvmyvhfzj3.1
title: Dopamin

description: This dataset contains computational and spectroscopic data related to dopamine and its molecular interactions. It includes Gaussian 16 output files (.log) for geometry-optimized structures, vibrational frequencies, electronic properties, and molecular orbital analyses (e.g., HOMO-LUMO) of dopamine in its neutral and protonated forms. The calculations were performed using density functional theory (DFT) with the B3LYP functional and 6-311++G(d,p) basis set in aqueous phase (via PCM solvation model).

The dataset may also include simulated IR and UV-Vis spectra, Cartesian coordinates, and thermochemical parameters. These data support studies on dopamine’s reactivity, binding behavior with metal ions, and potential roles in neurochemical or pharmaceutical contexts.

All files are provided in plain text format and can be visualized or further analyzed using computational chemistry software such as GaussView, Avogadro, or Multiwfn.
DOI: 10.17632/5555cvmmgb.3
title: PSMCMD

description: Contributors: Dr. Neeta Nain
Research Scholars: Anand Kumar Jain and Sagar Mal Nitharwal
Institute: Malaviya National Institute of Technology Jaipur
Domain Expert: Dr.Pratibha Singh, Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Published: 6 November 2025
Version: 1.0
Crops: Papaya and Sugarcane

Diseases: 
Sugarcane:
Banded Chlorosis - 471, Brown Spot - 1722, Brown Rust - 314, Dried Leaves - 343, Grassy Shoot - 346, Healthy - 430, Pokkah Boeng - 297, Sett Rot - 642, Viral Disease - 316, Yellow Leaf - 650, Smut - 1194.

Papaya: 
Anthracnose - 710, Bacterial Spot - 916, Curl - 1170, Healthy - 456, Ring Spot - 1066. 


Expert Ground-truth annotations, includ.ing soil health, humidity, nutrient deficiency, and pathological reports. Validated: by Dr.Pratibha Singh, at the Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Papaya and sugarcane are important tropical and subtropical crops whose growth and productivity are highly influenced by environmental conditions. Papaya grows best in warm climates with temperatures of 22–35 °C, moderate humidity, and well-drained sandy loam to loamy soils with a pH of 6.0–7.0, while low temperatures and waterlogging severely affect plant health. It is a short-duration, high-yielding fruit crop but is commonly affected by diseases such as papaya ringspot virus, anthracnose, and powdery mildew, which are managed through healthy planting material, resistant varieties, and proper field practices. Sugarcane requires a hot and humid climate with an optimal temperature range of 20–38 °C, a long growing period, and deep, fertile loamy soils with near-neutral pH. It is a major industrial crop for sugar and bio-fuel production, but diseases such as red rot, smut, and mosaic virus reduce yield and quality, making integrated disease management and resistant varieties essential for sustainable production.
DOI: 10.17632/xs88pt4f4r
title: 3-Fruit crops disease dataset

description: Contributors: Dr. Neeta Nain
Research Scholars: Anand Kumar Jain and Sagar Mal Nitharwal
Institute: Malaviya National Institute of Technology Jaipur
Domain Expert: Dr.Pratibha Singh, Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Published: 20 December 2025
Version: 1.0
Crops: Citrus, Papaya and Sugarcane.

Diseases: 
Citrus:
Greening (Huanglongbing) - 5787, Black Spot - 312, Canker - 368, novel annotations: Nutrient Deficiency, and Mold. Where Anthracnose, and Mold are subclass of insect damage, Healthy - 87.

Sugarcane:
Banded Chlorosis - 471, Brown Spot - 1722, Brown Rust - 314, Dried Leaves - 343, Grassy Shoot - 346, Healthy - 430, Pokkah Boeng - 297, Sett Rot - 642, Viral Disease - 316, Yellow Leaf - 650, Smut - 1194.

Papaya: 
Anthracnose - 710, Bacterial Spot - 916, Curl - 1170, Healthy - 456, Ring Spot - 1066. 


Expert Ground-truth annotations, includ.ing soil health, humidity, nutrient deficiency, and pathological reports. Validated: by Dr.Pratibha Singh, at the Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Citrus, papaya, and sugarcane are important crops grown in tropical and subtropical regions, where suitable climate, temperature, soil, and seasonal conditions are essential for high productivity. Citrus crops grow best at temperatures of 20–30 °C and are usually planted during the monsoon or spring season in well-drained sandy loam soils with a pH of 5.5–7.5. Citrus is valued for its nutritional and commercial importance but is affected by diseases such as citrus canker, greening, tristeza virus, and gummosis, which are managed through disease-free planting material, resistant rootstocks, and proper orchard sanitation. Papaya requires a warm climate with an optimum temperature of 22–35 °C and is preferably planted during spring or early monsoon. It grows well in well-drained loamy soils with a pH of 6.0–7.0 and is susceptible to diseases like papaya ringspot virus, anthracnose, and powdery mildew, which are controlled using resistant varieties and integrated disease management practices. Sugarcane thrives in a hot and humid climate with temperatures of 20–38 °C, is planted during spring or autumn, and grows best in deep, fertile loamy soils with a pH of 6.5–7.5. Major diseases such as red rot, smut, wilt, and mosaic virus are managed through healthy seed setts, resistant varieties, and proper cultural and chemical control methods.
DOI: 10.17632/xs88pt4f4r.2
title: 3-Fruit crops disease dataset

description: Contributors: Dr. Neeta Nain
Research Scholars: Anand Kumar Jain and Sagar Mal Nitharwal
Institute: Malaviya National Institute of Technology Jaipur
Domain Expert: Dr.Pratibha Singh, Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Published: 20 December 2025
Version: 1.0
Crops: Citrus, Papaya and Sugarcane.

Diseases: 
Citrus:
Greening (Huanglongbing) - 5787, Black Spot - 312, Canker - 368, novel annotations: Nutrient Deficiency, and Mold. Where Anthracnose, and Mold are subclass of insect damage, Healthy - 87.

Sugarcane:
Banded Chlorosis - 471, Brown Spot - 1722, Brown Rust - 314, Dried Leaves - 343, Grassy Shoot - 346, Healthy - 430, Pokkah Boeng - 297, Sett Rot - 642, Viral Disease - 316, Yellow Leaf - 650, Smut - 1194.

Papaya: 
Anthracnose - 710, Bacterial Spot - 916, Curl - 1170, Healthy - 456, Ring Spot - 1066. 


Expert Ground-truth annotations, includ.ing soil health, humidity, nutrient deficiency, and pathological reports. Validated: by Dr.Pratibha Singh, at the Rajasthan Agriculture Research Institute (RARI), Durgapura, Jaipur.

Citrus, papaya, and sugarcane are important crops grown in tropical and subtropical regions, where suitable climate, temperature, soil, and seasonal conditions are essential for high productivity. Citrus crops grow best at temperatures of 20–30 °C and are usually planted during the monsoon or spring season in well-drained sandy loam soils with a pH of 5.5–7.5. Citrus is valued for its nutritional and commercial importance but is affected by diseases such as citrus canker, greening, tristeza virus, and gummosis, which are managed through disease-free planting material, resistant rootstocks, and proper orchard sanitation. Papaya requires a warm climate with an optimum temperature of 22–35 °C and is preferably planted during spring or early monsoon. It grows well in well-drained loamy soils with a pH of 6.0–7.0 and is susceptible to diseases like papaya ringspot virus, anthracnose, and powdery mildew, which are controlled using resistant varieties and integrated disease management practices. Sugarcane thrives in a hot and humid climate with temperatures of 20–38 °C, is planted during spring or autumn, and grows best in deep, fertile loamy soils with a pH of 6.5–7.5. Major diseases such as red rot, smut, wilt, and mosaic virus are managed through healthy seed setts, resistant varieties, and proper cultural and chemical control methods.
DOI: 10.17632/k3xcndsswk.2
title: Animals, Food, and Technology (AFT) Survey 2017–2021

description: This data is from a cross-sectional survey on attitudes towards animals, food, and technology run by the Sentience Institute (https://www.sentienceinstitute.org/). Each sample was recruited in partnership with Ipsos (https://www.ipsos.com/) based on census estimates from the American Community Survey (https://www.census.gov/programs-surveys/acs). The survey has been repeated, with minor changes, in 2019, 2020, 2021, 2023, and 2025. Note that zip codes have been removed from the dataset to ensure participant anonymity. The survey and analysis code associated with this dataset can be found at the following OSF link: https://osf.io/a4qjg/

Data from 7,165 participants across the six survey waves is available in aft_data1725.csv, and aft_codebook.xlsx contains basic descriptions of each variable. More information on the AFT survey is available on our website (https://www.sentienceinstitute.org/aft-survey). Please reach out to jacy@sentienceinstitute.org with any questions or comments.
DOI: 10.17632/zpy96mh8d9
title: Effects of pile length and density and backing type on artificial turf’s hydrologic and thermal performance under urban heat island effect’s high temperature conditions

description: Datasets used in the in-review journal manuscript titled “Effects of pile length and density and backing type on artificial turf’s hydrologic and thermal performance under urban heat island effect’s high temperature conditions"
DOI: 10.17632/zpy96mh8d9.1
title: Effects of pile length and density and backing type on artificial turf’s hydrologic and thermal performance under urban heat island effect’s high temperature conditions

description: Datasets used in the in-review journal manuscript titled “Effects of pile length and density and backing type on artificial turf’s hydrologic and thermal performance under urban heat island effect’s high temperature conditions"
DOI: 10.5281/zenodo.18085411
title: Data and Code for "Functional Renormalization Group flows as diffusive Hamilton-Jacobi-type equations"

description: The data set contains all plots and plot data as well as the Mathematica Code/Notebooks that were used to produce the corresponding raw data, plot data, and plots of the publication "Functional Renormalization Group flows as diffusive Hamilton-Jacobi-type equations" which is available under arXiv identifier arXiv:2512.05973 [hep-th].
DOI: 10.5281/zenodo.18085412
title: Data and Code for "Functional Renormalization Group flows as diffusive Hamilton-Jacobi-type equations"

description: The data set contains all plots and plot data as well as the Mathematica Code/Notebooks that were used to produce the corresponding raw data, plot data, and plots of the publication "Functional Renormalization Group flows as diffusive Hamilton-Jacobi-type equations" which is available under arXiv identifier arXiv:2512.05973 [hep-th].