cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc112842168
title: Persepolis Fortification Elamite Tablet 1290.101, Fort 1290.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 1290.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Broken left edge, upper right corner. Crack on obverse, reverse.
DOI: 10.25549/inscriptifact-ouc112045229
title: Cuneiform Tablet 1913.14.0169, Spurlock 1913.14.0169

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0169; CDLI P420550 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Brownish Pink (5YR 8/3) ❧ [Physical Object Note:] 7.5 x 4.5 x 2.3 cm (82g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112016806
title: Cuneiform Tablet 1913.14.0226, Spurlock 1913.14.0226

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0226; CDLI P420608 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.8 x 1.8 cm (19g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112016848
title: Cuneiform Tablet 1913.14.0226, Spurlock 1913.14.0226

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0226; CDLI P420608 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.8 x 1.8 cm (19g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112016944
title: Cuneiform Tablet 1913.14.0226, Spurlock 1913.14.0226

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0226; CDLI P420608 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.8 x 1.8 cm (19g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112016947
title: Cuneiform Tablet 1913.14.0226, Spurlock 1913.14.0226

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0226; CDLI P420608 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.8 x 1.8 cm (19g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112043467
title: Cuneiform Tablet 1913.14.0146, Spurlock 1913.14.0146

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0146; CDLI P420527 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/3) ❧ [Physical Object Note:] 8.2x4.9 x 2.5 cm (110g)
DOI: 10.25549/inscriptifact-ouc112045175
title: Cuneiform Tablet 1913.14.0169, Spurlock 1913.14.0169

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0169; CDLI P420550 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/2) Brownish Pink (5YR 8/3) ❧ [Physical Object Note:] 7.5 x 4.5 x 2.3 cm (82g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.bwkccs
title: Occurrence Download

description: A dataset listing the 3819406 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 3819406 records were derived from 55069 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003799-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f8ae4
title: Occurrence Download

description: A dataset containing 2250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z((-96.23298 17.87474 0,-96.24009 17.72591 0,-96.23935 17.7226 0,-96.24358 17.72039 0,-96.24373 17.71839 0,-96.24029 17.71337 0,-96.23824 17.70902 0,-96.23721 17.70488 0,-96.23631 17.70336 0,-96.22785 17.69795 0,-96.22158 17.69477 0,-96.2119 17.69037 0,-96.20483 17.6881 0,-96.19201 17.68566 0,-96.17873 17.6853 0,-96.17202 17.68263 0,-96.16299 17.67995 0,-96.15543 17.679 0,-96.14399 17.67998 0,-96.13892 17.68105 0,-96.13556 17.68922 0,-96.13329 17.69595 0,-96.12981 17.7074 0,-96.12612 17.71587 0,-96.12095 17.72207 0,-96.09529 17.75216 0,-96.09405 17.7556 0,-96.08673 17.76332 0,-96.06342 17.76671 0,-96.04861 17.77477 0,-96.03122 17.78305 0,-96.01863 17.78759 0,-96.01788 17.7886 0,-96.01805 17.79171 0,-96.02507 17.80163 0,-96.02994 17.8056 0,-96.04289 17.81546 0,-96.0598 17.82727 0,-96.07643 17.84772 0,-96.08106 17.85855 0,-96.08409 17.88899 0,-96.08667 17.90841 0,-96.09137 17.92332 0,-96.10077 17.94669 0,-96.10939 17.96607 0,-96.11706 17.9818 0,-96.12086 17.98678 0,-96.12478 17.99399 0,-96.12515 17.99982 0,-96.12494 18.00193 0,-96.12756 18.00463 0,-96.12958 18.00646 0,-96.13482 18.00575 0,-96.13399 18.00118 0,-96.1331 17.99291 0,-96.1319 17.98388 0,-96.13029 17.97615 0,-96.14546 17.97766 0,-96.14765 17.97647 0,-96.15018 17.97198 0,-96.15371 17.96662 0,-96.15696 17.96604 0,-96.16076 17.95788 0,-96.16427 17.95084 0,-96.1672 17.94616 0,-96.16703 17.93729 0,-96.16535 17.92828 0,-96.16482 17.92273 0,-96.16549 17.92094 0,-96.16601 17.91315 0,-96.1672 17.89714 0,-96.16836 17.89153 0,-96.17071 17.88844 0,-96.1735 17.88905 0,-96.18033 17.88549 0,-96.19034 17.87968 0,-96.19792 17.87612 0,-96.20309 17.876 0,-96.23298 17.87474 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2250 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083366-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkacs7
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes urva (Hodgson, 1836)"
 ]
}

 The dataset includes 220 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309734-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfubfj
title: Occurrence Download

description: A dataset containing 1374468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1374468 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012415-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4j5mc
title: Occurrence Download

description: A dataset containing 1403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Geometry POLYGON((-90.83496 24.30176,-63.50098 24.30176,-63.50098 46.71387,-90.83496 46.71387,-90.83496 24.30176))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alnus Mill."
 ]
}

 The dataset includes 1403 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071018-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9rpnx
title: Occurrence Download

description: A dataset containing 5576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.09064 34.03015,2.95807 34.03015,2.95807 35.93628,0.09064 35.93628,0.09064 34.03015))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5576 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297315-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayfj7f
title: Occurrence Download

description: A dataset containing 18581183 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset includes 18581183 records from 2193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282361-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13312438
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vqcdnz
title: Occurrence Download

description: A dataset containing 218990367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 218990367 records from 7266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120836-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17565088
title: Road Access Deprivation Modelled Dataset in Nairobi, Kenya

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.This study was generated as part of the IDEAMAPS Data Ecosystem project and the authors acknowledge the contributions from the stakeholders and partners communities in Nairobi (Kenya).The work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.
DOI: 10.5281/zenodo.17565087
title: Road Access Deprivation Modelled Dataset in Nairobi, Kenya

description: This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of road access deprivation are related to more deprived areas.This study was generated as part of the IDEAMAPS Data Ecosystem project and the authors acknowledge the contributions from the stakeholders and partners communities in Nairobi (Kenya).The work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.Computational resources for this work were provided by the Geospatial Computing Platform at the Center of Expertise in Big Geodata Science (CRIB), Faculty ITC, University of Twente. The authors thank the CRIB staff for maintaining the infrastructure and supporting scientific computing activities.
DOI: 10.6084/m9.figshare.31297794
title: Knowledge and attitudes of family members of cancer patients towards immunotherapy toxicity and health management

description: Family members play a critical role in the care and decision-making processes of cancer patients. This study aimed to examine the knowledge and attitudes of cancer patients’ family members regarding the toxicity and health management of immunotherapy. A cross-sectional study was conducted at People’s Hospital of Quzhou City in Zhejiang Province, from January to March 2024. Questionnaires were administered to collect demographic data, as well as knowledge and attitude scores, from family members of cancer patients.: The study enrolled 382 participants. Among them, 132 (34.6%) were aged between 41 and 50 years, 192 (50.3%) were male, 211 (55.2%) were retired, and 158 (41.4%) were spouses of the patients. Correlation analysis showed that there was significant positive correlation between knowledge and attitude (r = 0.259, P &lt; .001). Multivariate logistic regression showed that with junior high school education (OR = 0.194, 95% CI:[0.073, 0.514], P = .001) and with high school/vocational school education (OR = 0.250, 95% CI:[0.099, 0.632], P = .003) were independently associated with poor knowledge. Concurrently, aged 41–50 years old (OR = 10.147, 95% CI: [1.912, 53.844], P = .007) and retired (OR = 0.026, 95% CI: [0.005, 0.144], P &lt; .001) were independently associated with attitude. Structural equation modeling (SEM) indicated a positive association between knowledge and attitude. Overall, educational attainment was a strong predictor of knowledge, whereas attitudes were more strongly shaped by age and occupational status. Family members demonstrated insufficient knowledge and mixed attitudes regarding immunotherapy toxicity. Educational level was strongly associated with knowledge, whereas attitudes appeared to be influenced by age and occupational status, as well as emotional and socioeconomic factors. These findings highlight the potential value of stratified family education, standardized caregiver support, and targeted assistance for vulnerable groups.
DOI: 10.6084/m9.figshare.31297794.v1
title: Knowledge and attitudes of family members of cancer patients towards immunotherapy toxicity and health management

description: Family members play a critical role in the care and decision-making processes of cancer patients. This study aimed to examine the knowledge and attitudes of cancer patients’ family members regarding the toxicity and health management of immunotherapy. A cross-sectional study was conducted at People’s Hospital of Quzhou City in Zhejiang Province, from January to March 2024. Questionnaires were administered to collect demographic data, as well as knowledge and attitude scores, from family members of cancer patients.: The study enrolled 382 participants. Among them, 132 (34.6%) were aged between 41 and 50 years, 192 (50.3%) were male, 211 (55.2%) were retired, and 158 (41.4%) were spouses of the patients. Correlation analysis showed that there was significant positive correlation between knowledge and attitude (r = 0.259, P &lt; .001). Multivariate logistic regression showed that with junior high school education (OR = 0.194, 95% CI:[0.073, 0.514], P = .001) and with high school/vocational school education (OR = 0.250, 95% CI:[0.099, 0.632], P = .003) were independently associated with poor knowledge. Concurrently, aged 41–50 years old (OR = 10.147, 95% CI: [1.912, 53.844], P = .007) and retired (OR = 0.026, 95% CI: [0.005, 0.144], P &lt; .001) were independently associated with attitude. Structural equation modeling (SEM) indicated a positive association between knowledge and attitude. Overall, educational attainment was a strong predictor of knowledge, whereas attitudes were more strongly shaped by age and occupational status. Family members demonstrated insufficient knowledge and mixed attitudes regarding immunotherapy toxicity. Educational level was strongly associated with knowledge, whereas attitudes appeared to be influenced by age and occupational status, as well as emotional and socioeconomic factors. These findings highlight the potential value of stratified family education, standardized caregiver support, and targeted assistance for vulnerable groups.
DOI: 10.6084/m9.figshare.31119141
title: Association between social determinants of health and asthma in US: a cross-sectional study from NHANES 2001-2012

description: Social Determinants of Health (SDoH), encompassing economic, educational, medical, and environmental factors, are closely linked to respiratory health, yet their relationship with asthma diagnosis remains incompletely understood. This study explores the relationship between individual and cumulative SDoH and asthma prevalence, while investigating racial disparities in the association between SDoH and asthma risk. Data on individual and cumulative SDoH and asthma diagnosis were obtained from self-reported survey questionnaires. Multivariable weighted logistic regression models were used to examine the relationship between individual and cumulative SDoH and asthma. Stratified analyses by sex and race/ethnicity were conducted, with additional adjustments for survey period, diabetes, hypertension, coronary heart disease, and total energy intake performed for sensitivity analyses. The study included 26,224 adults with a weighted mean age of 46.69 years. Employment status, poverty-to-income ratio, food security, regular health-care access, and marital status were found to be closely associated with asthma diagnosis. The risk of asthma increased with the accumulation of adverse SDoH, consistent with sensitivity analysis results. Compared to those with zero unfavorable SDoH, individuals with 6 or more adverse indicators had a significantly higher risk (AOR = 5.93, 95% CI: 3.11–11.31). As the cumulative number of adverse SDoH increases, there is a significant trend of heightened asthma prevalence among non-Hispanic black, non-Hispanic white, and other racial groups, whereas Hispanic Americans do not exhibit this trend. Our research indicates that both individual and cumulative exposure to adverse SDoH are associated with asthma incidence and may contribute to racial disparities in the American population. To address asthma discrepancies and promote health equity, future primary prevention strategies must integrate interventions targeting social determinants of health.
DOI: 10.6084/m9.figshare.31119141.v2
title: Association between social determinants of health and asthma in US: a cross-sectional study from NHANES 2001-2012

description: Social Determinants of Health (SDoH), encompassing economic, educational, medical, and environmental factors, are closely linked to respiratory health, yet their relationship with asthma diagnosis remains incompletely understood. This study explores the relationship between individual and cumulative SDoH and asthma prevalence, while investigating racial disparities in the association between SDoH and asthma risk. Data on individual and cumulative SDoH and asthma diagnosis were obtained from self-reported survey questionnaires. Multivariable weighted logistic regression models were used to examine the relationship between individual and cumulative SDoH and asthma. Stratified analyses by sex and race/ethnicity were conducted, with additional adjustments for survey period, diabetes, hypertension, coronary heart disease, and total energy intake performed for sensitivity analyses. The study included 26,224 adults with a weighted mean age of 46.69 years. Employment status, poverty-to-income ratio, food security, regular health-care access, and marital status were found to be closely associated with asthma diagnosis. The risk of asthma increased with the accumulation of adverse SDoH, consistent with sensitivity analysis results. Compared to those with zero unfavorable SDoH, individuals with 6 or more adverse indicators had a significantly higher risk (AOR = 5.93, 95% CI: 3.11–11.31). As the cumulative number of adverse SDoH increases, there is a significant trend of heightened asthma prevalence among non-Hispanic black, non-Hispanic white, and other racial groups, whereas Hispanic Americans do not exhibit this trend. Our research indicates that both individual and cumulative exposure to adverse SDoH are associated with asthma incidence and may contribute to racial disparities in the American population. To address asthma discrepancies and promote health equity, future primary prevention strategies must integrate interventions targeting social determinants of health.
DOI: 10.6084/m9.figshare.31119141.v1
title: Association between social determinants of health and asthma in US: a cross-sectional study from NHANES 2001-2012

description: Social Determinants of Health (SDoH), encompassing economic, educational, medical, and environmental factors, are closely linked to respiratory health, yet their relationship with asthma diagnosis remains incompletely understood. This study explores the relationship between individual and cumulative SDoH and asthma prevalence, while investigating racial disparities in the association between SDoH and asthma risk. Data on individual and cumulative SDoH and asthma diagnosis were obtained from self-reported survey questionnaires. Multivariable weighted logistic regression models were used to examine the relationship between individual and cumulative SDoH and asthma. Stratified analyses by sex and race/ethnicity were conducted, with additional adjustments for survey period, diabetes, hypertension, coronary heart disease, and total energy intake performed for sensitivity analyses. The study included 26,224 adults with a weighted mean age of 46.69 years. Employment status, poverty-to-income ratio, food security, regular health-care access, and marital status were found to be closely associated with asthma diagnosis. The risk of asthma increased with the accumulation of adverse SDoH, consistent with sensitivity analysis results. Compared to those with zero unfavorable SDoH, individuals with 6 or more adverse indicators had a significantly higher risk (AOR = 5.93, 95% CI: 3.11–11.31). As the cumulative number of adverse SDoH increases, there is a significant trend of heightened asthma prevalence among non-Hispanic black, non-Hispanic white, and other racial groups, whereas Hispanic Americans do not exhibit this trend. Our research indicates that both individual and cumulative exposure to adverse SDoH are associated with asthma incidence and may contribute to racial disparities in the American population. To address asthma discrepancies and promote health equity, future primary prevention strategies must integrate interventions targeting social determinants of health.