cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6jddcs
title: Occurrence Download

description: A dataset containing 24965 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cotoneaster horizontalis Decne."
 ]
}

 The dataset includes 24965 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020407-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef28wg
title: Occurrence Download

description: A dataset containing 3787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia penninervis Sieber ex DC."
 ]
}

 The dataset includes 3787 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020409-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7243337
title: NASKAH UJIAN TENGAH SEMESTER (UTS) AKUNTANSI KEUANGAN LANJUTAN 1_PRODI AKUNTANSI_12 NOVEMBER 2024_UNIVERSITAS GRESIK

description: Capaian Pembelajaran Mata kuliah (CPMK)


Untuk mengevaluasi atau mengukur kemampuan mahasiswa dalam penyerapan materi dari pertemuan 1 sampai pertemuan 7


Indikator Pencapaian


1 Tes Tulis


2. Tes Lisan
DOI: 10.5281/zenodo.7243338
title: NASKAH UJIAN TENGAH SEMESTER (UTS) AKUNTANSI KEUANGAN LANJUTAN 1_PRODI AKUNTANSI_12 NOVEMBER 2024_UNIVERSITAS GRESIK

description: Capaian Pembelajaran Mata kuliah (CPMK)


Untuk mengevaluasi atau mengukur kemampuan mahasiswa dalam penyerapan materi dari pertemuan 1 sampai pertemuan 7


Indikator Pencapaian


1 Tes Tulis


2. Tes Lisan
DOI: 10.6084/m9.figshare.22359925
title: Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiers

description: Machine learning (ML) has been applied recently to develop prognostic classification models that can be used in individual cancer patients to forecast outcomes. Here, four different ML algorithms were built to predict survival rate of lung cancer patients using 1600 metadata records. Of note, the generated models were validated using test set and external validation data set consisting of 400 patient records each together with 10-fold cross-validation technique. The extratree classifier algorithm was employed to identify the influential descriptors for patients survival after incidence of metachronous second primary lung cancer. The models were assessed using five different performance metrices. The results from our study highlight that logistic regression model with all features and important features achieved an accuracy of 94% and 96%, respectively, for stratifying the survival status of lung cancer patients. On the other hand, logistic regression also outperformed external validation with an accuracy of 85%. Indeed, the results from our study will provide meaningful insights for the treatment and management of large community of lung cancer patients.
DOI: 10.6084/m9.figshare.22359925.v1
title: Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiers

description: Machine learning (ML) has been applied recently to develop prognostic classification models that can be used in individual cancer patients to forecast outcomes. Here, four different ML algorithms were built to predict survival rate of lung cancer patients using 1600 metadata records. Of note, the generated models were validated using test set and external validation data set consisting of 400 patient records each together with 10-fold cross-validation technique. The extratree classifier algorithm was employed to identify the influential descriptors for patients survival after incidence of metachronous second primary lung cancer. The models were assessed using five different performance metrices. The results from our study highlight that logistic regression model with all features and important features achieved an accuracy of 94% and 96%, respectively, for stratifying the survival status of lung cancer patients. On the other hand, logistic regression also outperformed external validation with an accuracy of 85%. Indeed, the results from our study will provide meaningful insights for the treatment and management of large community of lung cancer patients.
DOI: 10.5281/zenodo.14032140
title: Dataset of female academicians of CAS and CAE
DOI: 10.5281/zenodo.14032141
title: Dataset of female academicians of CAS and CAE
DOI: 10.5281/zenodo.14032198
title: MAMLAKATIMIZDA AMALGA OSHIRILAYOTGAN DEMOKRATIK ISLOHOTLARDA YOSHLAR MANFAATLARI SAMARADORLIGI
DOI: 10.5281/zenodo.14032199
title: MAMLAKATIMIZDA AMALGA OSHIRILAYOTGAN DEMOKRATIK ISLOHOTLARDA YOSHLAR MANFAATLARI SAMARADORLIGI
DOI: 10.15468/dl.4eybhr
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Canna indica L."
 ]
}

 The dataset includes 513 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020411-241024112534372/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.27600624
title: Genome and annotation of Lanxangia tsaoko and Wurfbainia villosum

description: Genome and annotation of Lanxangia tsaoko and Wurfbainia villosum
DOI: 10.15468/dl.8hbmwq
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Canna indica L."
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020408-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmbhzp
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Colombia, Mexico, Costa Rica, Peru, United States of America, Guatemala, Puerto Rico, Panama)",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canna indica L."
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020414-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14032214
title: ChatGPT and AI Perception Change
DOI: 10.5281/zenodo.14032215
title: ChatGPT and AI Perception Change
DOI: 10.21227/8e6g-3h03
title: A Richly Attributed Dataset for Talent Intelligence Evaluation

description: This is a test case for a talent intelligence evaluation benchmark dataset with rich attributes (Attributes: 11, 909, Samples: 244, 610), containing information on honors, masterpieces, projects, rankings, and other attributes. Please note that we are providing this for scientific research use only; to use the full dataset, please contact liuying.void@gmail.com.
DOI: 10.15468/dl.76zd38
title: Occurrence Download

description: A dataset containing 48139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oryza sativa L.",
 "Year 1981-2010"
 ]
}

 The dataset includes 48139 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020413-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2f8yhy
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Tropicos MO Specimen Data, Tropicos Specimens Non-MO, Plantae of Costa Rica (INBio), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), herbario)",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84)",
 "TaxonKey is Canna tuerckheimii Kraenzl."
 ]
}

 The dataset includes 173 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020415-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxfzua
title: Occurrence Download

description: A dataset containing 24965 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cotoneaster horizontalis Decne."
 ]
}

 The dataset includes 24965 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020416-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26193/idxzpt
title: SAKERNAS, 1987

description: Sakernas, otherwise known as the National Labour Force Survey (NLFS), is a nationwide survey conducted by the Directorate of Population and Employment Statistics at the Indonesian Central Bureau of Statistics/Badan Pusat Statistik Republik Indonesian (CPS/BPS) to obtain statistics on employment patterns in Indonesia. Labour force related data collection is undertaken in all provinces of Indonesia using the National Labour Force Surveys (Sakernas), but also the National Social-Economic Surveys (Susenas), Population Censuses (SP), and Population Intercensal Surveys (Supas). These instruments have used the same concepts and definitions (since 1976), although the surveys vary in frequency and coverage. The Population Censuses and Intercensal Surveys are more focused on the demographic characteristics of the population, whilst the National Social and Economic Survey (Susenas) collects data on many social and economic characteristics of the population, such as: consumption, labour, health, and other household variables. The Sakernas is the instrument designed exclusively for measuring labour force characteristics, specifically: i. Employment by education, working hours, industrial classification and employment status. ii. Unemployment by different characteristics iii. Working age population not in the labour force (e.g. in school, engaged in housekeeping). Employment data collection activities were first implemented in 1976, but only since 1986 was it implemented periodically. Sakernas has undergone several changes both in enumeration period and in scope of areas covered and household samples. In 1987, Sakernas was implemented quarterly with the purpose of understanding the state of labour force in Indonesia and its sustainability, particularly to obtain data on the number of people who are employed and who are looking for employment (unemployment) continuously between quarters both for the national and regional levels. The dataset available from the Australian Data Archives includes all four quarters of the 1987 Sakernas Enumeration; February 1987 (1st Quarter), May 1987 (2nd Quarter), August 1987 (3rd Quarter), November 1987 (4th Quarter).
DOI: 10.26193/otv5td
title: Indonesian Susenas: 1995

description: The SUSENAS is an annual survey of the Indonesian population. Areas covered include education/literacy, employment, income, household consumption, adult and child health, nutrition, and use of healthcare services, fertility, family planning and housing. Brief questions on each topic are asked annually in the Core questionnaire. More detailed questions on each topic are asked on a three year cycle (Susenas Modules). 201,447 households were included in the 1995 Susenas sample. Data was collected from individual household members as well as from households.
DOI: 10.26193/pnrxfg
title: Indonesian Susenas: 1996

description: The SUSENAS is an annual survey of the Indonesian population. Areas covered include education/literacy, employment, income, household consumption, adult and child health, nutrition, and use of healthcare services, fertility, family planning and housing. Brief questions on each topic are asked annually in the Core questionnaire. More detailed questions on each topic are asked on a three year cycle (Susenas Modules). 206,597 households were included in the 1996 Susenas sample. Data was collected from individual household members as well as from households.
DOI: 10.26193/fi3ila
title: Indonesian Susenas: 1998

description: The SUSENAS is an annual survey of the Indonesian population. Areas covered include education/literacy, employment, income, household consumption, adult and child health, nutrition, and use of healthcare services, fertility, family planning and housing. Brief questions on each topic are asked annually in the Core questionnaire. More detailed questions on each topic are asked on a three year cycle (Susenas Modules). 207,625 households were included in the 1998 Susenas sample. Data was collected from individual household members as well as from households.
DOI: 10.26193/fbgstu
title: Household expenditure survey, Indonesia, 1981: File s00

description: The Indonesian Household Expenditure Survey, 1981 (SUSENAS) covers Java and the outer islands. Detailed labour force, income and expenditure data was collected. The labour force data was collected for household members aged 10 years or more. The expenditure data is recorded in detail and inclues value and amount of food puchased and consumed, in addition to expenditures on non-food items such as power, housing, medicine, entertainments, clothing, education and so on. Demographic data on all household members records their relation to household head, sex, age, marital status, education completed, literacy, and school attendance. A variety of other data about the household was also collected. This includes the distance of the household from public facilities, such as the market, and the environment of the household such as the size of the yard, the presence of livestock pens, ventilation of the house, sewerage, waste disposal and water facilities. Data was also collected on size of the house and bathroom and laundry facilities. Questions are also asked on the health of household members including illnesses, treatment received, and births and deaths. The social and cultural activities of household members were investigated including questions on activities such as radio listening, TV watching, films watched, newspaper readership , and participation in sport, the arts, and organisations.
DOI: 10.26193/rahbst
title: Indonesian Susenas: 1982

description: Susenas, or the National Socio-Economic Survey, is a nationally and annually based household survey conducted to collect Indonesian based consumption and expenditure data. Variables include main activity status the week before and year leading up to census interview, employment status, type of employment - main and additional, number of hours and days worked per week in main and other employment position(s), permanancy of job, income from main form of employment and other sources of income, reasons looking for/not looking for work and methods used to find work, whether member of household is working in agriculture, plantation planting, fisheries, industry, trade/commerce, transportation, service industry or administration; source of and uses for credit, home based industries; and associated questions on household well being and welfare issues. Background variables include sex, age, marital status, respondents connection to household, educational attainment, schooling of occupants between 5 and 29 years, total household income, size and type of family.
DOI: 10.26193/1xta4r
title: Indonesian Susenas 2002, Household Characteristics (Core)

description: Indonesia Social and Economic Survey (Susenas 2002) is a nationwide survey conducted to collect information on social and economics indices. It serves as a main source of monitoring of social and economic progress in the society. Susenas was conducted on an annual basis since 1963. In 1992, in addition to a basic social and economic questionnaire (core), another questionnaire was introduced which gathers more detailed information on special interest topics (module). The core covers basic household and individual characteristics including health, death, education/literacy, employment, fertility and family planning, housing, and household expenditure. This questionnaire is asked annually with only slight modifications in subsequent years. Susenas 2002 core covers 214,144 households and is designed to be representative up to district/municipality levels except for Aceh, Maluku, North Maluku and Irian Jaya, where data is collected at few cities due to security reasons. The module is intended to gather more detailed information on specific topics, especially on data that changes less frequently than yearly. There are three modules of Susenas and each module is added in a three-year cycle. In 2002, the module's topic was consumption. It collected information on characteristics of consumption and expenditure by the household on food and non-food consumption, and included income. The module covered about 64,422 households (as a subset of the core survey), and was representative at a provincial level for all provinces except Aceh, Maluku, North Maluku and Irian Jaya. Both core and module questionnaires collect data on household and individual characteristics. In the archive deposit, Susenas 2002 core was divided into two data files containing household and individual characteristics, respectively (study IDs 01067 and 01184 respectively). Susenas 2002 module data were split into four main data files, which contain information on Consumption of Food, Beverages, and Tobacco (study ID 01185), Non-food Expenditure (study ID 01186), Aggregate Monthly Expenditure (study ID 01187), and Income and Non-consumption Expenditure (study ID 01188). Merging among data files of Susenas 2002 is possible using following key variables: province, district/city, sub district, village, sample code and household code (and household member code for individual level data). The present data file - Household Characteristics (Core) - contains household data gathered from core questionnaires. It includes information about identification of place, household characteristics, housing, household expenditure, and other socio-economic information.
DOI: 10.26193/0pz8do
title: Susenas 1987: Demography, Health and Culture: File 2

description: The SUSENAS is an annual survey of the Indonesian population. Areas covered include education/literacy, employment, income, household consumption, adult and child health, nutrition, and use of healthcare services, fertility, family planning and housing. Brief questions on each topic are asked annually in the Core questionnaire. After 1993, more detailed questions on each topic are asked on a three year cycle (Susenas Modules). Topics in the 1987 S1 (demography, health and culture) survey include health, nutrition (adult and child), breast feeding, use of hospitals, whether accessed radio, newspaper/magazine, TV, film, arts performance recently, participation in sports, social organsiation. 49,200 households were included in the 1987 Susenas sample. Data was collected from individual household members as well as from households.
DOI: 10.26193/e88v8x
title: Indonesian Susenas 2007, Death

description: The Indonesia Social and Economic Survey (Susenas) is a nationwide survey conducted to collect information on social and economics indices. It serves as a main source of monitoring social and economic progress in society. Susenas has been conducted on an annual basis since 1963. Since 1992, in addition to a basic social and economic questionnaire (core), a more focused questionnaire was introduced (module). The core questionnaire covers basic information about household and individual characteristics including health, death, education/literacy, employment, fertility and family planning, housing, and household expenditure. This questionnaire is asked annually with only slight modifications over the years. Susenas 2007 core covered 285,186 households and was designed to be representative up to district/municipality levels. The module is intended to gather more detailed information on specific topics, especially on data that changes less frequently than a year. There are three modules of Susenas and each module is added in a three-year cycle. In 2007, the module's topic was housing, and covered 68,640 households. (Please note that the Susenas 2007 did not include a health module. A separate Basic Health Survey or Riset Kesehatan Dasar (Riskesdas) 2007 was conducted instead by the Ministry of Health.) Both core questionnaire (Susenas Core) and module questionnaires (Susenas Module) contain data on household and individual characteristics. In the archive, the data are stored in three main files which contain: information on household characteristics gathered both from core and module questionnaires (Study ID 01147); individual characteristics gathered both from core and module questionnaires (Study ID 01146); and information on cases of death gathered from core questionnaires (Study ID 01145). This file (Study ID 01145) contains information on cases of death in the household. The data is taken from Block IV.B of the core household questionnaire (VSEN2007.K form). Variables include the list number of deceased members of the household, year that death occurred, age, sex and whether the death was related to traffic accidents or pregnancy/giving birth.