cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7929/issda/6e8urn
title: European Union Survey of Income and Living Conditions (EU-SILC), 2022

description: The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey of private households. The SILC Anonymised Microdata File (AMF) contains both personal and household level data. Household data is at present duplicated for each member of the household. If performing household level analysis, please be aware of this and subset the data to include a single entry per household (interview_hh = 1). In 2021 the European legislative basis (Regulation No 1177/2003) for the production of statistics on income and living conditions has been repealed by Regulation 2019/1700. This new framework regulation establishes a common framework for European statistics relating to persons and households, based on data at individual level collected by samples. In order to meet the requirements of the new regulation, the Central Statistics Office (CSO) introduced changes to many SILC business processes. These changes have resulted in a break in the SILC time series for 2020.Data from 2020 onwards is not directly comparable with data from 2004-2019. To make the difference clear, national use variables from 2020 onwards have been re-named. Census Revision to SILC 2020-SILC 2022 The annual Survey of Income and Living Condition (SILC) results are weighted using population estimates which are generated on an ongoing basis. Census of Population 2022 results have been used to revise population estimates for 2020 to 2022, and consequently results for SILC survey years 2020, 2021 and 2022 are revised. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets.
DOI: 10.15468/dl.vvb95z
title: Occurrence Download

description: A dataset containing 1182 records in GBIF matching the query:
SELECT
 '603' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 66.79314043790278
 AND decimalLatitude &lt;= 72.77152049497572
 AND decimalLongitude &gt;= -118.7994797035766
 AND decimalLongitude &lt;= -89.8003922963208
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 1182 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000424-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb4xdx
title: Occurrence Download

description: A dataset containing 864 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurygaster integriceps"
 ]
}

 The dataset includes 864 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000436-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7929/issda/m9pjtl
title: European Union Survey of Income and Living Conditions (EU-SILC), 2023

description: The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey (for selected households). Up until 2020 the SILC was carried out under EU legislation (Council Regulation No 1177/2003) and commenced in Ireland in June 2003. On 01/01/2021 Council Regulation No 1177/2003 was repealed by Regulation (EU) 2019/1700. Information is collected from January to June with household interviews being conducted on a weekly basis. The income reference period for SILC is the previous calendar year. Therefore, the income referenced for the 2023 survey spans the period from January to December 2022. In 2023, the achieved sample size was 4,191 households and 10,199 individuals. In 2021 the European legislative basis (Regulation No 1177/2003) for the production of statistics on income and living conditions has been repealed by Regulation 2019/1700. This new framework regulation establishes a common framework for European statistics relating to persons and households, based on data at individual level collected by samples. In order to meet the requirements of the new regulation, the Central Statistics Office (CSO) introduced changes to many SILC business processes. These changes have resulted in a break in the SILC time series for 2020.Data from 2020 onwards is not directly comparable with data from 2004-2019. To make the difference clear, national use variables from 2020 onwards have been re-named. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets.
DOI: 10.7929/issda/hvynzr
title: European Union Survey of Income and Living Conditions (EU-SILC), 2024

description: The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey (for selected households). Up until 2020 the SILC was carried out under EU legislation (Council Regulation No 1177/2003) and commenced in Ireland in June 2003. On 01/01/2021 Council Regulation No 1177/2003 was repealed by Regulation (EU) 2019/1700. Information is collected from January to June with household interviews being conducted on a weekly basis. The income reference period for SILC is the previous calendar year. Therefore, the income referenced for the 2024 survey spans the period from January to December 2023. In 2024, the achieved sample size was 4,885 households and 12,066 individuals. In 2021 the European legislative basis (Regulation No 1177/2003) for the production of statistics on income and living conditions has been repealed by Regulation 2019/1700. This new framework regulation establishes a common framework for European statistics relating to persons and households, based on data at individual level collected by samples. In order to meet the requirements of the new regulation, the Central Statistics Office (CSO) introduced changes to many SILC business processes. These changes have resulted in a break in the SILC time series for 2020.Data from 2020 onwards is not directly comparable with data from 2004-2019. To make the difference clear, national use variables from 2020 onwards have been re-named. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets
DOI: 10.15468/dl.szqkc4
title: Occurrence Download

description: A dataset containing 5989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica urens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 5989 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000437-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244745
title: FoodAPS National Household Food Acquisition and Purchase Survey

description: USDA's National Household Food Acquisition and Purchase Survey (FoodAPS) is the first nationally representative survey of U.S. households to collect unique and comprehensive data about household food purchases and acquisitions. Detailed information was collected about foods purchased or otherwise acquired for consumption at home and away from home, including foods acquired through food and nutrition assistance programs. The survey includes nationally representative data from 4,826 households, including Supplemental Nutrition Assistance Program (SNAP) households, low-income households not participating in SNAP, and higher income households.<br><br>The public-use files include: the household-level and individual-level interview files, the food-at-home (FAH) and food-away-from-home (FAFH) event files, the FAH and FAFH item files, data from the Meals and Snacks form, household access to FAFH outlets, and SNAP-authorized FAH retailers. All codebooks and a User's Guide, providing an overview of the survey and data sets as well as general notes about using the data, are also available.<br><br>This dataset also includes reports, questionnaires and charts associated with this dataset, as well as screenshots of the USDA website for this dataset as it appeared on 2026-1-29.
description: FoodAPS collected the data from a nationally representative, stratified sample of 4,826 households between April 2012 and January 2013. Stratification was based on participation in the Supplemental Nutrition Assistance Program (SNAP) and total household income; the four strata were:Households receiving SNAP benefits, with a target sample size of 1,500 (actual 1,581),Non-SNAP households with income less than the poverty guideline, with a target sample size of 800 (actual 346),Non-SNAP households with income at or above 100 percent of the poverty guideline and less than 185 percent of that level, with a target sample size of 1,200 (actual 851), andNon-SNAP households with income equal to or greater than 185 percent of the poverty guideline, with a target sample size of 1,500 (actual 2,048).The FoodAPS sample of households was selected using two sample frames and a multi-stage sample design covering the contiguous United States. The first stage of the sampling process selected a stratified sample of 50 Primary Sampling Units (PSUs, defined as counties or groups of contiguous counties). The selection was proportional to size (PPS), with the measure of size (MOS) for each PSU being a composite that reflected the overall sample targets and the estimated population in each PSU for each of the four strata.
description: face-to-face interview; mixed mode; on-site questionnaire; other; Data downloaded 2026-01-29
DOI: 10.3886/e244745v1
title: FoodAPS National Household Food Acquisition and Purchase Survey

description: USDA's National Household Food Acquisition and Purchase Survey (FoodAPS) is the first nationally representative survey of U.S. households to collect unique and comprehensive data about household food purchases and acquisitions. Detailed information was collected about foods purchased or otherwise acquired for consumption at home and away from home, including foods acquired through food and nutrition assistance programs. The survey includes nationally representative data from 4,826 households, including Supplemental Nutrition Assistance Program (SNAP) households, low-income households not participating in SNAP, and higher income households.<br><br>The public-use files include: the household-level and individual-level interview files, the food-at-home (FAH) and food-away-from-home (FAFH) event files, the FAH and FAFH item files, data from the Meals and Snacks form, household access to FAFH outlets, and SNAP-authorized FAH retailers. All codebooks and a User's Guide, providing an overview of the survey and data sets as well as general notes about using the data, are also available.<br><br>This dataset also includes reports, questionnaires and charts associated with this dataset, as well as screenshots of the USDA website for this dataset as it appeared on 2026-1-29.
description: FoodAPS collected the data from a nationally representative, stratified sample of 4,826 households between April 2012 and January 2013. Stratification was based on participation in the Supplemental Nutrition Assistance Program (SNAP) and total household income; the four strata were:Households receiving SNAP benefits, with a target sample size of 1,500 (actual 1,581),Non-SNAP households with income less than the poverty guideline, with a target sample size of 800 (actual 346),Non-SNAP households with income at or above 100 percent of the poverty guideline and less than 185 percent of that level, with a target sample size of 1,200 (actual 851), andNon-SNAP households with income equal to or greater than 185 percent of the poverty guideline, with a target sample size of 1,500 (actual 2,048).The FoodAPS sample of households was selected using two sample frames and a multi-stage sample design covering the contiguous United States. The first stage of the sampling process selected a stratified sample of 50 Primary Sampling Units (PSUs, defined as counties or groups of contiguous counties). The selection was proportional to size (PPS), with the measure of size (MOS) for each PSU being a composite that reflected the overall sample targets and the estimated population in each PSU for each of the four strata.
description: face-to-face interview; mixed mode; on-site questionnaire; other; Data downloaded 2026-01-29
DOI: 10.15468/dl.zwrkq6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Longicollum indicum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000438-260129131611470/datasets/export for details.
DOI: 10.7929/issda/zhmcob
title: European Union Survey of Income and Living Conditions (EU-SILC), 2004

description: The Survey on Income and Living Conditions (SILC) in Ireland is a household survey covering a broad range of issues in relation to income and living conditions. It is the official source of data on household and individual income and also provides a number of key national poverty indicators, such as the ‘at risk of poverty’ rate, the consistent poverty rate and rates of enforced deprivation. The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey of private households. The SILC Anonymised Microdata File (AMF) contains both personal and household level data. Household data is at present duplicated for each member of the household. If performing household level analysis, please be aware of this and subset the data to include a single entry per household (interview_hh = 1). Please note: In 2020 AMF was revised to be more in line with the SILC RMF. Variables were renamed in accordance with Eurostats Doc65, which provides methodological guidelines and description of EU-SILC target variables. The target variables within the AMF are data on household and individual income as well as a number of key national poverty indicators, therefore variables identified as being not relevant to SILC were removed from the AMF. Furthermore, additional statistical disclosure controls were also implemented in the revisions so as to adhere to updates of the Legislation, Governance & Data Policies of the CSO. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets.
DOI: 10.15468/dl.cbh43x
title: Occurrence Download

description: A dataset containing 101408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.92122 21.04807,-91.8727 17.83459,-93.34479 14.54931,-91.94451 13.22083,-88.06679 11.94621,-82.64517 14.5134,-83.38122 20.61721,-87.81546 22.17907,-90.92122 21.04807))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stelgidopteryx serripennis"
 ]
}

 The dataset includes 101408 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000354-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18419051
title: "CHO'LPON IJODIDAGI ADOLAT VA TARTIB G'OYALARINING ICHKI ISHLAR TIZIMI FAOLIYATI BILAN MA'NAVIY UYG'UNLIGI"

description: Ushbu maqolada o‘zbek adabiyotining yirik namoyandasi Cho‘lpon ijodida aks etgan adolat, tartib-intizom va insonparvarlik g‘oyalari tahlil qilinadi. Shoir asarlarida ilgari surilgan mazkur g‘oyalarning bugungi kunda mamlakatimiz taraqqiyoti va ichki ishlar tizimi faoliyatida muhim ahamiyat kasb etayotgan qonun ustuvorligi, jamoat xavfsizligi hamda fuqarolarning huquq va erkinliklarini ta’minlash tamoyillari bilan ma’naviy uyg‘unligi asoslab beriladi. Maqola ichki ishlar tizimi xodimlarining kasbiy ma’naviyati va huquqiy ongini yuksaltirishda Cho‘lpon merosining ahamiyatini ochib berishga qaratilgan.
DOI: 10.5281/zenodo.18419052
title: "CHO'LPON IJODIDAGI ADOLAT VA TARTIB G'OYALARINING ICHKI ISHLAR TIZIMI FAOLIYATI BILAN MA'NAVIY UYG'UNLIGI"

description: Ushbu maqolada o‘zbek adabiyotining yirik namoyandasi Cho‘lpon ijodida aks etgan adolat, tartib-intizom va insonparvarlik g‘oyalari tahlil qilinadi. Shoir asarlarida ilgari surilgan mazkur g‘oyalarning bugungi kunda mamlakatimiz taraqqiyoti va ichki ishlar tizimi faoliyatida muhim ahamiyat kasb etayotgan qonun ustuvorligi, jamoat xavfsizligi hamda fuqarolarning huquq va erkinliklarini ta’minlash tamoyillari bilan ma’naviy uyg‘unligi asoslab beriladi. Maqola ichki ishlar tizimi xodimlarining kasbiy ma’naviyati va huquqiy ongini yuksaltirishda Cho‘lpon merosining ahamiyatini ochib berishga qaratilgan.
DOI: 10.7929/issda/692iut
title: European Union Survey of Income and Living Conditions (EU-SILC), 2003

description: The Survey on Income and Living Conditions (SILC) in Ireland is a household survey covering a broad range of issues in relation to income and living conditions. It is the official source of data on household and individual income and also provides a number of key national poverty indicators, such as the ‘at risk of poverty’ rate, the consistent poverty rate and rates of enforced deprivation. The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey of private households. The SILC Anonymised Microdata File (AMF) contains both personal and household level data. Household data is at present duplicated for each member of the household. If performing household level analysis, please be aware of this and subset the data to include a single entry per household (interview_hh = 1). Please note: In 2020 AMF was revised to be more in line with the SILC RMF. Variables were renamed in accordance with Eurostats Doc65, which provides methodological guidelines and description of EU-SILC target variables. The target variables within the AMF are data on household and individual income as well as a number of key national poverty indicators, therefore variables identified as being not relevant to SILC were removed from the AMF. Furthermore, additional statistical disclosure controls were also implemented in the revisions so as to adhere to updates of the Legislation, Governance & Data Policies of the CSO. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets.
DOI: 10.15468/dl.7nmuhy
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Month is January",
 "TaxonKey is Lepraria incana",
 "Year 1994-2024"
 ]
}

 The dataset includes 615 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000439-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcehgs
title: Occurrence Download

description: A dataset containing 866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Andrena coitana",
 "Year 1970-2000"
 ]
}

 The dataset includes 866 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000440-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18419071
title: INFLUENCE OF MUMIYO EXTRACT ON PLATELET-MEDIATED HEMOSTASIS IN DOGS

description: Platelets play a key role in primary hemostasis and blood coagulation. The present study investigated the effect of mumiyo extract on platelet count in dogs in order to clarify its contribution to the anticoagulant mechanism of this substance. Clinically healthy dogs were administered mumiyo extract orally at doses of 10, 25, and 50 mg/kg body weight. Platelet counts were determined before administration and at 1 and 2 hours after dosing. The results suggest that reduction of platelet number contributes to the anticoagulant action of mumiyo by affecting platelet-mediated hemostasis. Modulation of platelet count may therefore represent an important mechanism underlying the hypocoagulant effects of mumiyo.
DOI: 10.5281/zenodo.18419070
title: INFLUENCE OF MUMIYO EXTRACT ON PLATELET-MEDIATED HEMOSTASIS IN DOGS

description: Platelets play a key role in primary hemostasis and blood coagulation. The present study investigated the effect of mumiyo extract on platelet count in dogs in order to clarify its contribution to the anticoagulant mechanism of this substance. Clinically healthy dogs were administered mumiyo extract orally at doses of 10, 25, and 50 mg/kg body weight. Platelet counts were determined before administration and at 1 and 2 hours after dosing. The results suggest that reduction of platelet number contributes to the anticoagulant action of mumiyo by affecting platelet-mediated hemostasis. Modulation of platelet count may therefore represent an important mechanism underlying the hypocoagulant effects of mumiyo.