cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30862452
title: Mitigating direct and indirect costs of unexpected pandemics: a parallel vaccination strategy utilizing agent-based simulation

description: The prioritization of individuals for vaccination based on limited resources and decision-making time—primarily focusing on age groups—overlooks the broader impacts of lockdown policies on the economy and psychological well-being. This study emphasizes the need to draw lessons from epidemic disasters to inform future responses and policies, highlighting the importance of considering wider societal and economic implications in vaccination prioritization strategies. Therefore, we present a strategy that considers both pharmaceutical and non-pharmaceutical interventions, including two-dose vaccination, partial lockdowns, face mask usage, and a new prioritization approach, aimed at minimizing social costs, economic impacts, and psychological effects (e.g. depression) of lockdown policies, using Covid-19 as a case study. We explore prioritization of retail units alongside age groups to investigate vaccination strategies that enhance socio-economic effectiveness. Additionally, we estimate the required vaccine doses by accounting for the efficacy of the first and second doses and their impact on controlling the epidemic. We apply an agent-based model to simulate a hypothetical community, parameterized with demographic and social characteristics inspired by Iran, to evaluate the effects of parallel vaccination and non-pharmaceutical interventions. The results show that vaccinating businesses and age groups simultaneously leads to lower social, economic, and psychological costs of lockdown policies.
DOI: 10.6084/m9.figshare.30862452.v1
title: Mitigating direct and indirect costs of unexpected pandemics: a parallel vaccination strategy utilizing agent-based simulation

description: The prioritization of individuals for vaccination based on limited resources and decision-making time—primarily focusing on age groups—overlooks the broader impacts of lockdown policies on the economy and psychological well-being. This study emphasizes the need to draw lessons from epidemic disasters to inform future responses and policies, highlighting the importance of considering wider societal and economic implications in vaccination prioritization strategies. Therefore, we present a strategy that considers both pharmaceutical and non-pharmaceutical interventions, including two-dose vaccination, partial lockdowns, face mask usage, and a new prioritization approach, aimed at minimizing social costs, economic impacts, and psychological effects (e.g. depression) of lockdown policies, using Covid-19 as a case study. We explore prioritization of retail units alongside age groups to investigate vaccination strategies that enhance socio-economic effectiveness. Additionally, we estimate the required vaccine doses by accounting for the efficacy of the first and second doses and their impact on controlling the epidemic. We apply an agent-based model to simulate a hypothetical community, parameterized with demographic and social characteristics inspired by Iran, to evaluate the effects of parallel vaccination and non-pharmaceutical interventions. The results show that vaccinating businesses and age groups simultaneously leads to lower social, economic, and psychological costs of lockdown policies.
DOI: 10.15468/dl.gj5x25
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.647 -0.869817, 101.576729 -0.875383, 101.508187 -0.891945, 101.443062 -0.919094, 101.382957 -0.956163, 101.329351 -1.00224, 101.283564 -1.056189, 101.246723 -1.116683, 101.219736 -1.182232, 101.203267 -1.251224, 101.197724 -1.321959, 101.203242 -1.392696, 101.219688 -1.461694, 101.246657 -1.527252, 101.283486 -1.587757, 101.32927 -1.641719, 101.38288 -1.687807, 101.442997 -1.724887, 101.508139 -1.752046, 101.576704 -1.768613, 101.647 -1.774181, 101.717296 -1.768613, 101.785861 -1.752046, 101.851003 -1.724887, 101.91112 -1.687807, 101.96473 -1.641719, 102.010514 -1.587757, 102.047343 -1.527252, 102.074312 -1.461694, 102.090758 -1.392696, 102.096276 -1.321959, 102.090733 -1.251224, 102.074264 -1.182232, 102.047277 -1.116683, 102.010436 -1.056189, 101.964649 -1.00224, 101.911043 -0.956163, 101.850938 -0.919094, 101.785813 -0.891945, 101.717271 -0.875383, 101.647 -0.869817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047683-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xka5gj
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paspalum repandum"
 ]
}

 The dataset includes 157 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047682-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17546782
title: AGC in China 2020-2023

description: This is data generated in the paper, "Substantial contribution of trees outside forests to above-ground carbon across China".

 

Authors

Yang Su a, b, c, Tianqi Shi b, Xianglin Zhang c, d, Yidi Xu b, Kai Cheng e,f, Siyu Liu g, Ge Han h, i, Xin Ma j, Songchao Chen d, k, Xiaowei Tong l, Wei Li m, Wei Gong j, n, o, Qinghua Guo e, f, Martin Brandt g, Shilong Piao p, q, Alexandre d'Aspremont a , Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

e Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, 100871 Beijing, China

f Institute of Ecology, College of Urban and Environmental Sciences, Peking University, 100871 Beijing, China

g Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

h Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

i Perception and Effectiveness Assessment for Carbon‐neutrality Efforts, Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan University, Wuhan, China

j State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

k ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

l Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.

m Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China

n Electronic Information School, Wuhan University, Wuhan, China

o Wuhan Institute of Quantum Technology, Wuhan, China

p State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China

q Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École Normale Supérieure – PSL

 

To use the data, please cite this paper or contact the corresponding author for more details.

 

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...
DOI: 10.5281/zenodo.17546783
title: AGC in China 2020-2023

description: This is data generated in the paper, "Substantial contribution of trees outside forests to above-ground carbon across China".

 

Authors

Yang Su a, b, c, Tianqi Shi b, Xianglin Zhang c, d, Yidi Xu b, Kai Cheng e,f, Siyu Liu g, Ge Han h, i, Xin Ma j, Songchao Chen d, k, Xiaowei Tong l, Wei Li m, Wei Gong j, n, o, Qinghua Guo e, f, Martin Brandt g, Shilong Piao p, q, Alexandre d'Aspremont a , Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

e Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, 100871 Beijing, China

f Institute of Ecology, College of Urban and Environmental Sciences, Peking University, 100871 Beijing, China

g Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

h Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

i Perception and Effectiveness Assessment for Carbon‐neutrality Efforts, Engineering Research Center of Ministry of Education, Institute for Carbon Neutrality, Wuhan University, Wuhan, China

j State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

k ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

l Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.

m Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China

n Electronic Information School, Wuhan University, Wuhan, China

o Wuhan Institute of Quantum Technology, Wuhan, China

p State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China

q Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École Normale Supérieure – PSL

 

To use the data, please cite this paper or contact the corresponding author for more details.

 

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...
DOI: 10.15468/dl.pn7eum
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spermacoce tenuior"
 ]
}

 The dataset includes 920 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047684-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uu566
title: Occurrence Download

description: A dataset containing 2214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is White shark tagging off New Zealand"
 ]
}

 The dataset includes 2214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047685-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17901985
title: INTEGRATING SPEECH SKILLS IN BILLINGUAL AND MULTILINGUAL
DOI: 10.5281/zenodo.17901984
title: INTEGRATING SPEECH SKILLS IN BILLINGUAL AND MULTILINGUAL
DOI: 10.15468/dl.cfxf6z
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spermacoce tetraquetra"
 ]
}

 The dataset includes 229 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047687-251120083545085/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.30571082
title: <b>Morin alleviates fructose-driven disturbance of podocyte mitochondrial energy metabolism by inhibiting AMPD activity to improve glomerular injury</b>

description: High consumption of fructose is a significant risk factor for glomerular podocyte injury. We reported a novel mechanism that high fructose increased the activity of adenosine 5’-monophosphate deaminase (AMPD) in the purine nucleotide cycle (PNC), which contributed to mitochondrial dysfunction and activated glycolysis in podocyte injury. We discovered that the natural polyphenol morin significantly mitigated mitochondrial dysfunction and the activation of glycolysis in its attenuation of fructose-induced podocyte injury. Molecular docking results revealed a potential interaction between morin and AMPD2, indicating that morin might act as a competitive inhibitor of AMPD2. Confirmedly, morin suppressed the abnormally enhanced activity of AMPD in podocyte induced by high fructose. Similar to morin, silencing AMPD2 also alleviated mitochondrial dysfunction and activated glycolysis which mitigated podocyte injury. In high fructose diet-fed rats, morin remarkedly improved the podocyte foot process effacement and reduced urinary albumin to creatinine ratio (UACR). Consistently, morin reversed the downregulation of glomerular synaptopodin expression and decreased the activity of renal cortex AMPD in this animal model. In conclusion, morin alleviated high fructose-induced podocyte injury by inhibiting AMPD activity in PNC, suggesting that AMPD2 might be a potential therapeutic target for podocyte injury caused by high fructose intake. This study provides novel insights into the mechanisms of morin against mitochondrial energy disturbance in podocyte injury.
DOI: 10.6084/m9.figshare.30571082.v3
title: <b>Morin alleviates fructose-driven disturbance of podocyte mitochondrial energy metabolism by inhibiting AMPD activity to improve glomerular injury</b>

description: High consumption of fructose is a significant risk factor for glomerular podocyte injury. We reported a novel mechanism that high fructose increased the activity of adenosine 5’-monophosphate deaminase (AMPD) in the purine nucleotide cycle (PNC), which contributed to mitochondrial dysfunction and activated glycolysis in podocyte injury. We discovered that the natural polyphenol morin significantly mitigated mitochondrial dysfunction and the activation of glycolysis in its attenuation of fructose-induced podocyte injury. Molecular docking results revealed a potential interaction between morin and AMPD2, indicating that morin might act as a competitive inhibitor of AMPD2. Confirmedly, morin suppressed the abnormally enhanced activity of AMPD in podocyte induced by high fructose. Similar to morin, silencing AMPD2 also alleviated mitochondrial dysfunction and activated glycolysis which mitigated podocyte injury. In high fructose diet-fed rats, morin remarkedly improved the podocyte foot process effacement and reduced urinary albumin to creatinine ratio (UACR). Consistently, morin reversed the downregulation of glomerular synaptopodin expression and decreased the activity of renal cortex AMPD in this animal model. In conclusion, morin alleviated high fructose-induced podocyte injury by inhibiting AMPD activity in PNC, suggesting that AMPD2 might be a potential therapeutic target for podocyte injury caused by high fructose intake. This study provides novel insights into the mechanisms of morin against mitochondrial energy disturbance in podocyte injury.
DOI: 10.15468/dl.s2333y
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.266 -0.869817, 103.195729 -0.875383, 103.127187 -0.891945, 103.062062 -0.919094, 103.001957 -0.956163, 102.948351 -1.00224, 102.902564 -1.056189, 102.865723 -1.116683, 102.838736 -1.182232, 102.822267 -1.251224, 102.816724 -1.321959, 102.822242 -1.392696, 102.838688 -1.461694, 102.865657 -1.527252, 102.902486 -1.587757, 102.94827 -1.641719, 103.00188 -1.687807, 103.061997 -1.724887, 103.127139 -1.752046, 103.195704 -1.768613, 103.266 -1.774181, 103.336296 -1.768613, 103.404861 -1.752046, 103.470003 -1.724887, 103.53012 -1.687807, 103.58373 -1.641719, 103.629514 -1.587757, 103.666343 -1.527252, 103.693312 -1.461694, 103.709758 -1.392696, 103.715276 -1.321959, 103.709733 -1.251224, 103.693264 -1.182232, 103.666277 -1.116683, 103.629436 -1.056189, 103.583649 -1.00224, 103.530043 -0.956163, 103.469938 -0.919094, 103.404813 -0.891945, 103.336271 -0.875383, 103.266 -0.869817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 50 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047689-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/zzmpcc
title: Replication Data for: Emotions on Our Screens

description: Replication data for Emotions on Our Screens by Talbot M. Andrews, Lauren P. Olson, & Yanna Krupnikov, forthcoming in the Cambridge Elements series in Politics and Communication.

Abstract: While scholars have long considered how political messages makes people feel, changes in the media environment have given people unprecedented access to the expressed emotions of others. Through both contemporary news stories and social media, people now learn how others – often strangers – feel about political events. Do people believe in the sincerity of these expressed emotions? To answer this question, we turn to expressions about one of the most pressing issues of our time: climate change. We begin with a theoretic framework of the way people perceive mediated emotional expression. Then, across six pre-registered experiments, we find people are generally skeptical of others’ emotional expression – perceiving emotional posts and quotes less authentic and appropriate than more neutral content. While evaluations vary by platform, our results suggest that emotions online aren’t always taken at face value – complicating the role of these expressed emotions in political communication.
DOI: 10.15468/dl.z2dagu
title: Occurrence Download

description: A dataset containing 1200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spermacoce verticillata"
 ]
}

 The dataset includes 1200 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047692-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.102779
title: KOM OMBO_nb_1975_02752

description: Référence : nb_1975_02752<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.15468/dl.m3jgod
title: Occurrence Download

description: A dataset containing 3190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Year 1998-2020",
 "Geometry POLYGON((-126.0791 42.40399,-125.63965 37.3492,-121.24512 31.40616,-113.68652 31.63093,-113.9502 42.27406,-126.0791 42.40399))",
 {
 "or" : [
 "InstitutionCode is uwbm",
 "InstitutionCode is naturgucker",
 "InstitutionCode is uam",
 "InstitutionCode is bsc; bird studies canada - etudes d'oiseaux canada",
 "InstitutionCode is vce",
 "InstitutionCode is fmnh",
 "InstitutionCode is rsl",
 "InstitutionCode is prbo"
 ]
 },
 "TaxonKey is Melospiza melodia (A.Wilson, 1810)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3190 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021844-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.102778
title: KOM OMBO_nb_1975_02751

description: Référence : nb_1975_02751<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.15468/dl.2pd5f3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora multiformis Jacq."
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106132-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.102777
title: KOM OMBO_nb_1975_02750

description: Référence : nb_1975_02750<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.102776
title: KOM OMBO_nb_1975_02749

description: Référence : nb_1975_02749<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.15468/dl.wtrnzh
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kobus leche Gray, 1850"
 ]
}

 The dataset includes 788 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0427877-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.102775
title: KOM OMBO_nb_1975_02748

description: Référence : nb_1975_02748<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.102774
title: KOM OMBO_nb_1975_02747

description: Référence : nb_1975_02747<br />Site : Kôm Ombo<br />Type : photographie<br />
DOI: 10.15468/dl.62gxza
title: Occurrence Download

description: A dataset containing 55914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melittis melissophyllum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55914 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263990-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.