cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17608/k6.auckland.4747405.v4
title: ISSP2016: Role of Government V

description: The third International Social Survey Programme (ISSP) survey by COMPASS Research Centre at the University of Auckland.Attitudes to compliance with the law; attitudes to various forms of protest against the government; views on freedom of speech for extremists; attitudes to justice error; views on state intervention in economy; views on government spending for environmental protection, public health system, the police, education system, defence, pensions, unemployment benefits, culture and arts.<br><br>Attitudes to welfare state and responsibility for jobs, price control, health care, decent standard of living, economic growth, reduction of income differences, support for students, housing supply and protection of environment; attitudes towards public/private partnership in providing services; attitudes towards personal responsibility; poverty attributions; attitudes towards financial penalties for those on benefits; views on who hold political power; attitudes towards surveillance measures of the authorities in case of security challenges; attitudes towards civil rights; interest in politics; political efficacy; attitudes towards children and youth participation; assessment of tax equity with various income groups; attitudes towards tax credits; views about the frequency of tax avoidance; perceived amount of politicians and public officials involved in corruption; how often asked for bribe by public officials.<br><br>Whether one believes referenda are effective; how one voted in the flag referendum; opinions on the need for future referenda; view on becoming a republic; attitude towards legalising cannabis; attitude towards voluntary euthanasia/assisted dying; preference for union jack on the flag; views on having a British head of state.<br><br>Demography<br>Sex; age; nation of birth; ethnicity; citizenship/residency; religion; attendance at religious services; education; current employment status; hours worked weekly; occupation; working for private or public sector or self-employed; if self-employed: number of employees; supervisor function; trade union membership; party vote in 2014; left-right wing scale; access to technology; hours spent on social media; personal and household income; household size; marital status; partner’s employment status partner’s occupation; organisation partner works for.
DOI: 10.25387/g3.12732311
title: Supplemental Material for Kucukyildirim et al., 2020

description: Supplemental Files
DOI: 10.17608/k6.auckland.4747405.v3
title: ISSP2016: Role of Government V

description: The third International Social Survey Programme (ISSP) survey by COMPASS Research Centre at the University of Auckland.Attitudes to compliance with the law; attitudes to various forms of protest against the government; views on freedom of speech for extremists; attitudes to justice error; views on state intervention in economy; views on government spending for environmental protection, public health system, the police, education system, defence, pensions, unemployment benefits, culture and arts.<br><br>Attitudes to welfare state and responsibility for jobs, price control, health care, decent standard of living, economic growth, reduction of income differences, support for students, housing supply and protection of environment; attitudes towards public/private partnership in providing services; attitudes towards personal responsibility; poverty attributions; attitudes towards financial penalties for those on benefits; views on who hold political power; attitudes towards surveillance measures of the authorities in case of security challenges; attitudes towards civil rights; interest in politics; political efficacy; attitudes towards children and youth participation; assessment of tax equity with various income groups; attitudes towards tax credits; views about the frequency of tax avoidance; perceived amount of politicians and public officials involved in corruption; how often asked for bribe by public officials.<br><br>Whether one believes referenda are effective; how one voted in the flag referendum; opinions on the need for future referenda; view on becoming a republic; attitude towards legalising cannabis; attitude towards voluntary euthanasia/assisted dying; preference for union jack on the flag; views on having a British head of state.<br><br>Demography<br>Sex; age; nation of birth; ethnicity; citizenship/residency; religion; attendance at religious services; education; current employment status; hours worked weekly; occupation; working for private or public sector or self-employed; if self-employed: number of employees; supervisor function; trade union membership; party vote in 2014; left-right wing scale; access to technology; hours spent on social media; personal and household income; household size; marital status; partner’s employment status partner’s occupation; organisation partner works for.
DOI: 10.25387/g3.12732311.v2
title: Supplemental Material for Kucukyildirim et al., 2020

description: Supplemental Files
DOI: 10.6084/m9.figshare.4747243.v2
title: Length of Stay Colon Cancer

description: The data set comes from the University of Medicine and Pharmacy of Craiova, Romania, and concerns the hospitalization period of 368 patients diagnosed with colorectal cancer that underwent surgery between 2012 and 2014. It contains 8 attributes, namely socio-demographic variables (age, sex) and clinical information (operation type, tumor topography, stage, tumor parameter (T), adenopathy parameter (N) and metastases (M)).<br>The independent variable -- the hospitalization period -- is split into three intervals: 1-7 days -- short stay (177 cases), 8-14 days -- medium stay (96 cases), over 14 days -- long stay (95 cases). <br>The "Surgery" attribute values are renamed in the data set for an easier manner of accessing them:one = Ileotransverse-anastomosistwo = Raybard colectomythree = Ileosigmoid anastomosisfour = Segmental colectomyfive = Left hemicolectomysix = Subtotal colectomyseven = Abdominoperineal rectal amputationeight = Hartmann rectosigmoidian resectionnine = Rectal biopsyten = Rectosigmoidian resectioneleven = Loop colostomytwelve = Total colectomythirteen = Right hemicolectomyfourteen = Ileostomyfifteen = Low anterior rectosigmoidian resection (Dixon procedure)<br>A thorough description of the data set can be found in the paper:<br>* Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer, International Work-Conference on Artificial Neural Networks (IWANN 2015), Advances in Computational Intelligence, Lecture Notes in Computer Science, Springer, Volume 9094, Palma de Mallorca, Spain, 10-12 June, pp. 444-457, 2015.<br>If you publish material based on the current database, please refer the paper above within the References.
DOI: 10.6084/m9.figshare.4747243.v1
title: Length of Stay Colon Cancer Craiova, Romania

description: The data set comes from the University of Medicine and Pharmacy of Craiova, Romania, and concerns the hospitalization period of 368 patients diagnosed with colorectal cancer that underwent surgery between 2012 and 2014. It contains 8 attributes, namely socio-demographic variables (age, sex) and clinical information (operation type, tumor topography, stage, tumor parameter (T), adenopathy parameter (N) and metastases (M)).<br>The independent variable -- the hospitalization period -- is split into three intervals: 1-7 days -- short stay (177 cases), 8-14 days -- medium stay (96 cases), over 14 days -- long stay (95 cases). <br>The "Surgery" attribute values are renamed in the data set for an easier manner of accessing them:one = Ileotransverse-anastomosistwo = Raybard colectomythree = Ileosigmoid anastomosisfour = Segmental colectomyfive = Left hemicolectomysix = Subtotal colectomyseven = Abdominoperineal rectal amputationeight = Hartmann rectosigmoidian resectionnine = Rectal biopsyten = Rectosigmoidian resectioneleven = Loop colostomytwelve = Total colectomythirteen = Right hemicolectomyfourteen = Ileostomyfifteen = Low anterior rectosigmoidian resection (Dixon procedure)<br>A thorough description of the data set can be found in the paper:<br>* Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Ensemble of Classifiers to Predict Length of Stay after Surgery in Patients with Colorectal Carcinoma, 7th International KES Conference on INTELLIGENT DECISION TECHNOLOGIES (KES-IDT-15), submitted.<br>If you publish material based on the current database, please refer the paper above within the References.
DOI: 10.25387/g3.12732311.v1
title: Supplemental Material for Kucukyildirim et al., 2020

description: Supplemental Files
DOI: 10.6084/m9.figshare.4746916
title: Raw Data from All 3 Groups

description: Response: 1 = Sure New; 6 = Sure Old;rt = reaction time for recognition judgment;Session: 1 = day 1; 2 = day 2;Status: dist = distractor (i.e., "New" item); targ = target (i.e., "old" item);Reward: No = distractor item; (i.e., never paired with a reward value); Hi = high reward item; Lo = Low reward item;Acc = recognition accuracy (1 =correct; 0 = incorrect);sub = subject number;gains = total amount earnedPayment: credit = credit group experiment 1; cash = cash group experiment 1; extra credit = credit group experiment 2;<br> sub payment 201 Credit 202 Cash 203 Cash 204 Cash 205 Credit 206 Cash 207 Cash 208 Cash 210 Credit 211 Credit 212 Cash 213 Credit 214 Credit 215 Cash 216 Cash 217 Credit 218 Credit 219 Credit 220 Credit 221 Credit 223 Cash 224 Credit 225 Credit 226 Credit 227 Credit 228 Credit 229 Credit 230 Credit 231 Cash 232 Credit 233 Cash 234 Cash 235 Cash 236 Cash 237 Cash 238 Cash 240 Cash 241 Cash 242 Cash 243 Cash 244 Cash 245 Cash 246 Credit 247 Credit 248 Credit 301 extra 302 extra 303 extra 305 extra 307 extra 308 extra 309 extra 310 extra 312 extra 314 extra 315 extra 316 extra 317 extra 318 extra 319 extra 321 extra 324 extra 326 extra 327 extra 330 extra 332 extra 334 extra 336 extra
DOI: 10.5281/zenodo.15208786
title: Stock Trading Strategy Using Rl Algorithm

description: This research focuses on applying a reinforcement learning (RL) model to enhance stock trading strategies by incorporating market sentiment analysis, historical price data, and market trends. Key steps involve preprocessing, feature engineering, and assessing performance using metrics such as returns, Sharpe ratio, and maximum drawdown. The RL-based approach adapts to changing market conditions to optimize Return of Investment by making informed buy and sell decisions. The project showcases RL's ability to improve algorithmic trading through adaptive decision-making.
DOI: 10.5281/zenodo.15208787
title: Stock Trading Strategy Using Rl Algorithm

description: This research focuses on applying a reinforcement learning (RL) model to enhance stock trading strategies by incorporating market sentiment analysis, historical price data, and market trends. Key steps involve preprocessing, feature engineering, and assessing performance using metrics such as returns, Sharpe ratio, and maximum drawdown. The RL-based approach adapts to changing market conditions to optimize Return of Investment by making informed buy and sell decisions. The project showcases RL's ability to improve algorithmic trading through adaptive decision-making.
DOI: 10.5281/zenodo.15208798
title: North America Tissue Diagnostics Market 2024 To 2033

description: North America Tissue Diagnostics Market Size, Trends and Insights By Technology (In Situ Hybridization, Immunohistochemistry, Digital Pathology and workflow, Primary and Special Staining, Anatomic Pathology), By Application (Prostate Cancer, Breast Cancer, Lung Cancer, Gastric Cancer, Other Cancer), By End Users (Research Laboratories, Hospitals, Contract Research Organizations (CROs), Pharmaceutical Organizations) and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the North America Tissue Diagnostics Market is expected to record a CAGR of 7% from 2023 to 2032. In 2023, the market size is projected to reach a valuation of USD 2.5 Billion. By 2032, the valuation is anticipated to reach USD 4.7 Billion.

The North America Tissue Diagnostics Market encompasses the industry involved in the diagnosis of diseases through the examination of tissues. It includes a range of diagnostic methods, such as histology, cytology, and immunohistochemistry, to analyze tissue samples for identifying abnormalities and diseases.

Key players in this market provide diagnostic tools, equipment, and services, contributing to advancements in personalized medicine, early disease detection, and precision diagnostics.

Factors influencing the market include technological innovations, a focus on automation, and a growing aging population. The market plays a pivotal role in improving healthcare outcomes by enabling accurate and timely diagnoses for effective patient care.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=42777
DOI: 10.5281/zenodo.15208799
title: North America Tissue Diagnostics Market 2024 To 2033

description: North America Tissue Diagnostics Market Size, Trends and Insights By Technology (In Situ Hybridization, Immunohistochemistry, Digital Pathology and workflow, Primary and Special Staining, Anatomic Pathology), By Application (Prostate Cancer, Breast Cancer, Lung Cancer, Gastric Cancer, Other Cancer), By End Users (Research Laboratories, Hospitals, Contract Research Organizations (CROs), Pharmaceutical Organizations) and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the North America Tissue Diagnostics Market is expected to record a CAGR of 7% from 2023 to 2032. In 2023, the market size is projected to reach a valuation of USD 2.5 Billion. By 2032, the valuation is anticipated to reach USD 4.7 Billion.

The North America Tissue Diagnostics Market encompasses the industry involved in the diagnosis of diseases through the examination of tissues. It includes a range of diagnostic methods, such as histology, cytology, and immunohistochemistry, to analyze tissue samples for identifying abnormalities and diseases.

Key players in this market provide diagnostic tools, equipment, and services, contributing to advancements in personalized medicine, early disease detection, and precision diagnostics.

Factors influencing the market include technological innovations, a focus on automation, and a growing aging population. The market plays a pivotal role in improving healthcare outcomes by enabling accurate and timely diagnoses for effective patient care.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=42777
DOI: 10.15468/dl.drbsuv
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Bouea macrophylla Griff."
 ]
}

 The dataset includes 48 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021340-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28787216
title: Additional files for the SARA-prone paper

description: Additional files for the SARA-prone paper
DOI: 10.15468/dl.qbxujg
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Zoropsis rufipes (Lucas, 1838)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089193-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5y6pw
title: Occurrence Download

description: A dataset containing 956 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Zonocyba pomaria (McAtee, 1926)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 956 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089194-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj9vqu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coiffaiteuma turdetanorum Mauriès, 1964",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089195-240626123714530/datasets/export for details.
DOI: 10.15468/dl.dm5j43
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Catoplatus fabricii (Stål, 1873)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 154 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089196-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xav3bh
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Alphitobius diaperinus (Panzer, 1797)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1036 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089197-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r22nec
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Zoropsis media Simon, 1878",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 339 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089198-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5s3z6e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scutogona oculinigra Mauriès & Vicente, 1977",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089199-240626123714530/datasets/export for details.
DOI: 10.15468/dl.2a4nwd
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lasiacantha capucina (Germar, 1836)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 113 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089200-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esk77v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Archips fumiferana Clemens",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089201-240626123714530/datasets/export for details.
DOI: 10.15468/dl.94nmuk
title: Occurrence Download

description: A dataset containing 1324 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Epicauta pensylvanica (DeGeer, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1324 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089202-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d86ppq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scutogona jeanneli Ribaut, 1913",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089204-240626123714530/datasets/export for details.