cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w4y9pb9w8n.2
title: Arabic Stemming to Select Index Terms (ASIT).

description: The data is 34 classes of Arabic terms. Each class has similar terms. The aim of this data is to measure the stemmers' ability to group similar terms to the lowest possible index terms. It is not important to get the correct stem, the important is to be able to group similar terms to the lowest possible index terms.
DOI: 10.17632/vdtxvdh3tx.1
title: Entrepreneurial Performance and Firm Performance - 1

description: A third-party survey was used to collect data, which included 154 respondents who met the following demographic criteria: residency in West Java, Indonesia; status as a business owner or manager; age range of 17 to 60 years; and socioeconomic classification as middle or upper class. The sample consisted of 51% male and 49% female respondents. Participants were divided into the following age groups: 18-24 years (0.7%), 25-30 years (46.7%), 31-35 years (24.7%), 36-40 years (19.3%), 41-45 years (4%), 46-50 years (2.7%), and 51-55 years (2%). In terms of socioeconomic level, 42% of respondents were middle class, while 58% were upper class.
DOI: 10.17632/jjgmnrhm6h.1
title: Ngoc Linh ginseng fermentation

description: Raw data of Ngoc Linh ginseng fermentation project
DOI: 10.17632/jjgmnrhm6h.2
title: Ngoc Linh ginseng fermentation

description: Raw data of Ngoc Linh ginseng fermentation project
DOI: 10.17632/2965grswcp.1
title: REST API response with or without PII (synthetic & labeled)

description: Synthetic dataset of request and response from REST API in JSON format. Dataset and Datauji (testing data) comprised of data of random mimicking request and response log of REST API system. Data is generated and labeled by code that emulates several context of businesses such as commerce and health (http://dx.doi.org/10.13140/RG.2.2.17184.90880). The purpose is to be used to train machine learning models to detect whether some REST API endpoints might leaks PII sensitive data and to assess the severity of leaking.
DOI: 10.17632/mdr78gs2yz.1
title: TNNI3

description: data of TNNI3 Acts as a Potential Oncogene
DOI: 10.6084/m9.figshare.27175695
title: Chylothorax is closely associated with aggressiveness of lymph node management during pulmonary resection

description: Chylothorax is associated with more aggressive lymph node management during lung cancer resection, particularly with complete and systematic lymph node dissection. It leads to significant postoperative morbidity, including longer hospital stays and higher rates of reoperation and readmission.
DOI: 10.15468/dl.u2c7ds
title: Occurrence Download

description: A dataset containing 1757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tasgius melanarius (Heer, 1839)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1757 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001235-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dhwxwhf5hs.1
title: A Dataset on Psychological and Social Determinants of Purchase Intention and Buying Behavior in Impact Investments

description: The dataset comprises responses collected through structured surveys conducted via field visits in selected regions. It includes a total of 504 valid responses after rigorous data screening, ensuring accuracy and reliability. The dataset captures various demographic attributes such as gender, age, occupation, income, and investment experience. Additionally, it encompasses key psychological and social determinants influencing impact investment behavior, including attitude, subjective norms, perceived behavioral control, purchase intention, environmental concern, and social concern.

The survey employed a 7-point Likert scale to assess respondents' perceptions, preferences, and decision-making factors in impact investments. The data were gathered from individuals with varying levels of investment experience, ensuring diverse representation. The inclusion criteria required participants to have basic investment knowledge, while incomplete or inconsistent responses were excluded to maintain data integrity.

The dataset provides valuable insights into the motivations and behavioral patterns of investors in sustainable and ethical financial markets. It allows researchers to explore the relationship between psychological and social factors and actual investment decisions. With its structured format and comprehensive coverage, the dataset is well-suited for further analysis using statistical techniques such as regression modeling, correlation analysis, and predictive modeling.

This dataset serves as a useful resource for academics, policymakers, and financial institutions seeking to understand and promote sustainable investment practices.
DOI: 10.17632/tpwrzst2pn.1
title: 10.1016/j.jaad.2024.10.130

description: Supplemental Tables S1-S4
DOI: 10.17632/ypbr4mb24w.1
title: HTP Biochar data for "A unique use of hydrothermal pretreatment in the production of biochar suitable for utilisation in the steel industry"

description: Data used in production of "A unique use of hydrothermal pretreatment in the production of biochar suitable for utilisation in the steel industry".
DOI: 10.17632/ypbr4mb24w.2
title: HTP Biochar data for "A unique use of hydrothermal pretreatment in the production of high-quality biochar for utilisation in the steel industry"

description: Data used in production of "A unique use of hydrothermal pretreatment in the production of biochar suitable for utilisation in the steel industry".
DOI: 10.17632/ypbr4mb24w.3
title: HTP Biochar data for "Hydrothermal pretreatment: investigating the use of solid residue from a biomass hemicellulose extraction process in the production of high-quality biochar for use in the steel industry"

description: Data used in production of "Hydrothermal pretreatment: investigating the use of solid residue from a biomass hemicellulose extraction process in the production of high-quality biochar for use in the steel industry".
DOI: 10.5066/p13rzxw7
title: Growth and survival of a Unionid Mussel (Fatmucket, Lampsilis siliquoidea) during Chronic Exposures Evaluating pH Effects on Ammonia

description: This data set contains toxicity data from short term 7-day chronic water-only bioassays to assess the effects pH on ammonia toxicity to survival and growth of a juvenile fatmucket mussel (Lampsilis siliquoidea). We conducted 4 concurrent exposures at nominal pHs of 7.0, 7.5, 8.0, and 8.5 with varying ranges of ammonia to capture effect concentrations. This data set has three tables: (1) routine water quality, including measured pH and ammonia (2) survival and dry weight of juvenile mussels, and (3) length measurements of juvenile mussels
DOI: 10.17632/wf8dgfd6y8.1
title: Global Brain Health Survey_Cuba_Young Population

description: Between June 2019 and August 2020, Lifebrain executed the Global Brain Health Survey (GBHS) to gather insights into people's perceptions of brain health and their openness to adopting new lifestyle habits for better brain care. The survey was conducted online and offered in 14 languages to broaden its accessibility. It amassed 27,590 responses from individuals in 81 different countries. The survey aims to explore the general public's interest in brain health. Additionally, the survey delves into people’s motivations for preventing brain diseases, their willingness to participate in various brain health activities, and the type of support they would need to make lifestyle changes. Respondents are also asked to identify which public health measures they believe are most effective in promoting brain health. This data includes information from 1,049 Cuban participants who completed the survey. The ages of the participants range from 18 to 45 years, with 692 females (66%) and 357 males (34%). With the results of this study, we aim to understand the level of knowledge about the brain among a representative sample of the young population in Cuba. Some of the questions that can be answered through the analysis of this data include: what factors do young people attribute to the onset of brain diseases, what daily activities are practiced to protect the brain, and what is their willingness to undergo tests to detect the presence of brain diseases. The results can be used to design preventive actions that promote brain health and help prevent the diseases that most commonly affect the brain.
DOI: 10.17632/wf8dgfd6y8.2
title: Global Brain Health Survey_Cuba_Young Population

description: Between June 2019 and August 2020, Lifebrain executed the Global Brain Health Survey (GBHS) to gather insights into people's perceptions of brain health and their openness to adopting new lifestyle habits for better brain care. The survey was conducted online and offered in 14 languages to broaden its accessibility. It amassed 27,590 responses from individuals in 81 different countries. The survey aims to explore the general public's interest in brain health. Additionally, the survey delves into people’s motivations for preventing brain diseases, their willingness to participate in various brain health activities, and the type of support they would need to make lifestyle changes. Respondents are also asked to identify which public health measures they believe are most effective in promoting brain health. This data includes information from 1,049 Cuban participants who completed the survey. The ages of the participants range from 18 to 45 years, with 692 females (66%) and 357 males (34%). With the results of this study, we aim to understand the level of knowledge about the brain among a representative sample of the young population in Cuba. Some of the questions that can be answered through the analysis of this data include: what factors do young people attribute to the onset of brain diseases, what daily activities are practiced to protect the brain, and what is their willingness to undergo tests to detect the presence of brain diseases. The results can be used to design preventive actions that promote brain health and help prevent the diseases that most commonly affect the brain.
DOI: 10.17632/wf8dgfd6y8.3
title: Global Brain Health Survey_Cuba_Young Population

description: Between June 2019 and August 2020, Lifebrain executed the Global Brain Health Survey (GBHS) to gather insights into people's perceptions of brain health and their openness to adopting new lifestyle habits for better brain care. The survey was conducted online and offered in 14 languages to broaden its accessibility. It amassed 27,590 responses from individuals in 81 different countries. The survey aims to explore the general public's interest in brain health. Additionally, the survey delves into people’s motivations for preventing brain diseases, their willingness to participate in various brain health activities, and the type of support they would need to make lifestyle changes. Respondents are also asked to identify which public health measures they believe are most effective in promoting brain health. This data includes information from 1,049 Cuban participants who completed the survey. The ages of the participants range from 18 to 45 years, with 692 females (66%) and 357 males (34%). With the results of this study, we aim to understand the level of knowledge about the brain among a representative sample of the young population in Cuba. Some of the questions that can be answered through the analysis of this data include: what factors do young people attribute to the onset of brain diseases, what daily activities are practiced to protect the brain, and what is their willingness to undergo tests to detect the presence of brain diseases. The results can be used to design preventive actions that promote brain health and help prevent the diseases that most commonly affect the brain.
DOI: 10.17632/48sc3gb9wj.1
title: The effects of reinforcement and punishment magnitude on the formation and maintenance of equivalence classes

description: This dataset accompanies the manuscript "The effects of reinforcement and punishment magnitude on the formation and maintenance of equivalence classes," submitted to The Psychological Record. It includes two datasets and the R scripts used for data analysis.
DOI: 10.15468/dl.8gkcwh
title: Occurrence Download

description: A dataset containing 406203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio inaequidens DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 406203 records from 1197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001216-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mtpwksmz6m.1
title: Spillover effects of air pollution-induced sentiment across industries: Evidence from a LASSO machine learning technique

description: While existing research investigates the impact of investor sentiment on stock markets, it often underexplores the potential for sentiment closely related to specific industries to spill over into other, less related industries. Utilizing a Least Absolute Selection and Shrinkage Operator (LASSO) machine learning technique for robust variable selection and statistical inference, we identify significant cross-industry spillover effects of air pollution-induced investor sentiment, underscoring its important role in the whole cross-section of stocks. The spillover patterns remain consistent before and after the COVID-19 outbreak for most industries. We demonstrate that air pollution induces sentiment spillover in industries with minimal direct exposure, driven by investors’ environmental concerns and their subsequent investment decisions. Incorporating these spillover effects into portfolio strategies enhance risk reduction and hedging effectiveness. Our findings provide new insights into how environmental concerns influence market dynamics and stock premiums, offering implications for portfolio management and risk mitigation.
DOI: 10.17632/gk8tyzkc6d.1
title: Enhancing carbon dioxide adsorption in a hybrid fixed bed via structuring and thermal management: a numerical study

description: The dataset supports the paper entitled "Enhancing carbon dioxide adsorption in a hybrid fixed bed via structuring and thermal management: a numerical study " by E.A. Cutillo, K. Neupauer, G. Continillo, K. Bizon (doi: 10.24425/cpe.2024.149471) and it contains: 
- numerical codes developed in Matlab software used to perform simulations (Adsorption_2d.m & systemMatrix.m files)
NOTE: Running the code additionally requires the Toolbox ADiGator available at the link: https://dl.acm.org/doi/abs/10.1145/3104990.
- results of numerical simulations (in Data folder) based on which figures reported in the article were done, with the specific parts of the file names to be read as follows
Diabatico_2L5AC_R_R150%Rr_f_ads1_100 
Diabatico_2L5AC_R: Non-adiabatic case, 2 (axial Layers) 5AC_R (A/C Ratio = 5)
R150%Rr: the inner radius R1 is 50% of the total radius Rr
f_ads1_100: the value of f_ads1 is 100%
DOI: 10.17632/grsdykghk2.1
title: FLS Data

description: Compiled Data for FLS Data
DOI: 10.15468/dl.xe8usr
title: Occurrence Download

description: A dataset containing 1622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syritta flaviventris Macquart, 1842",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1622 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001238-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vy629dngm8.1
title: Seasonal Corn Leaf Disease Dataset: A Multi-Year Collection for Robust Analysis

description: 1. The horticulture industry places a high value on corn plants because of their economic importance and widespread consumption. Nevertheless, several diseases might substantially negatively influence their well-being and output, making cultivation difficult. For a therapy to be effective, leaf diseases must be accurately and quickly identified. High-resolution images of corn plant leaves were taken from various fields site in Gurudaspur, Natore, Rajshahi, Bangladesh, and are included in this dataset. The images are divided into five distinct classes: Healthy (1038 images), Bacterial Leaf Streak (190 images), Common_rust (129 images), Gray_leaf_spot(1497 images) and Maize Chlorotic Mottle Virus (89images). These classes represent both damaged and healthy leaves. The dataset has 2943 images in total. Comprehensive comments describing the condition's nature and severity are included with every photograph. This data is essential for accurate and trustworthy model training and validation. The information also contains metadata that records the location and surrounding circumstances at the time the photograph was taken. Understanding the environmental factors influencing the prevalence of disease and enhancing the accuracy of predictive models require this contextual information.
2. At the moment, there are a lot of potential deep learning and computer vision techniques to handle these kinds of categorization and detection problems.
3. To create deep learning techniques, an extensive corn leaf disease dataset is provided. The subject matter expert from an agricultural institute collaborated with us to construct the classifications for this dataset.
4. From several different corn farms at the Gurudaspur site in Natore, Bangladesh, a total of 2943 images depicting Healthy (1038 images), Bacterial Leaf Streak (190 images), Common_rust (129 images), Gray_leaf_spot(1497 images) and Maize Chlorotic Mottle Virus (89images) were collected. Then, using methods like flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming, 7500 augmented images are made from these original photos to increase the quantity of data sets.
DOI: 10.17632/3wvvr7rz57.1
title: X-ray images of hazelnut kernels

description: Dataset of X-ray images of kernels of hazelnuts. It includes images of both healthy kernels and corked by stink bugs. They represent an augmented research dataset used as input of a Inception-ResNet-V2 Convolutional Neural Network to detect the healthy VS damaged hazelnuts. The ZIP file contains two folders, "Damaged" and "Healthy", that are respectively the image collections of insect damaged kernels and the image collections of healthy kernels. Each subfolder corresponds to a single kernel.
DOI: 10.17632/r9w6m58bhb.1
title: From Beliefs to Selfitis: Emerging Linguistic Patterns in the Digital Era

description: Language plays a crucial role in shaping cognitive structures and social interactions. This paper explores the semantic and lexical connections between “beliefs” and “validations” while examining the rise of digital-age linguistic anomalies such as selfitis. The intersection of these terms demonstrates how the need for validation reinforces beliefs and leads to emerging linguistic patterns in the digital era, particularly in relation to social media and screen time. A binary classification model of linguistic terms is introduced to systematically categorize such evolving concepts.
DOI: 10.17632/tpgmxrjdx4
title: LINF_100007400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/tpgmxrjdx4.1
title: LINF_100007400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.h896pb
title: Occurrence Download

description: A dataset containing 22536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio madagascariensis Poir.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22536 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001239-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ybf2h2tm4j.1
title: Dataset - Análisis de ciclo de vida de baterías

description: Composición de la estructura de baterías alcalinas y recargables de ion-litio.
DOI: 10.17632/w32v8dr63t.1
title: Smart Buoy Testing

description: Photos and video during the testing and experiments for communication between buoys, endurance, and stress tests.
DOI: 10.15468/dl.zehv4c
title: Occurrence Download

description: A dataset containing 15608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senna siamea (Lam.) H.S.Irwin & Barneby)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15608 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001240-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4gktz
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisopappus junodii Hutch."
 ]
}

 The dataset includes 51 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009809-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2smp3
title: Occurrence Download

description: A dataset containing 73110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplotaxida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than 2000"
 ]
}

 The dataset includes 73110 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133367-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cydjuy
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neomyzus circumflexus (Buckton, 1876))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 495 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042886-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msklmp
title: Occurrence Download

description: A dataset containing 96858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Catostomidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 96858 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008305-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkv25f
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carpophilus nepos Murray, 1864)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 584 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042887-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.