cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hsc42n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.544 -0.877817, 116.473729 -0.883383, 116.405187 -0.899945, 116.340062 -0.927094, 116.279956 -0.964163, 116.22635 -1.01024, 116.180563 -1.064189, 116.143722 -1.124682, 116.116735 -1.190232, 116.100266 -1.259224, 116.094722 -1.329959, 116.100241 -1.400696, 116.116686 -1.469693, 116.143656 -1.535252, 116.180485 -1.595757, 116.226268 -1.649718, 116.279879 -1.695807, 116.339996 -1.732887, 116.405139 -1.760046, 116.473703 -1.776613, 116.544 -1.782181, 116.614297 -1.776613, 116.682861 -1.760046, 116.748004 -1.732887, 116.808121 -1.695807, 116.861732 -1.649718, 116.907515 -1.595757, 116.944344 -1.535252, 116.971314 -1.469693, 116.987759 -1.400696, 116.993278 -1.329959, 116.987734 -1.259224, 116.971265 -1.190232, 116.944278 -1.124682, 116.907437 -1.064189, 116.86165 -1.01024, 116.808044 -0.964163, 116.747938 -0.927094, 116.682813 -0.899945, 116.614271 -0.883383, 116.544 -0.877817))"},{"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/0047673-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12821250
title: Evaluation of User Experience for Dashboard Project Management Information System within the Project Operation Unit of a Telecommunication Company
DOI: 10.5281/zenodo.12821249
title: Evaluation of User Experience for Dashboard Project Management Information System within the Project Operation Unit of a Telecommunication Company
DOI: 10.7910/dvn/hdhp00
title: Replication Data for: Do Effortful Apologies Matter in International Historical Disputes? Experimental Evidence from South Korea

description: Political apologies have become an important tool for addressing historical injustices, yet their effectiveness—especially in international contexts—remains debated. Prior scholarship has highlighted the limitations of simple verbal apologies and emphasized the importance of tangible and observable measures. What remains unclear, however, is why such measures enhance sincerity. I argue that their effectiveness hinges on the extent to which they are perceived as requiring effort in crafting and delivering apologies. This study examines whether—and if so, how—perceived effort shapes evaluations of sincerity, drawing on two pre-registered survey experiments in South Korea that used the same survey instrument and vignette treatments, in which respondents evaluated apologies issued by Japan for its colonial rule. The results demonstrate that apologies accompanied by concrete reparative measures are perceived as involving greater effort, which in turn elevates both credibility and sincerity. These findings underscore the importance of designing political apologies that are both symbolically meaningful and visibly effortful in international historical disputes.
DOI: 10.15468/dl.ey2u3x
title: Occurrence Download

description: A dataset containing 125 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 Spathodea campanulata"
 ]
}

 The dataset includes 125 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047674-251120083545085/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.30450605
title: <b>Structures of invertebrate PEZO-1 isoforms with a compact architecture and a dispensable pore-distal N-terminal blade</b>

description: Source data file for the manuscript titled: <b>Structures of invertebrate PEZO-1 isoforms </b><b>with</b><b> </b><b>a compact architecture and a dispensable pore-distal N-terminal blade</b>
DOI: 10.6084/m9.figshare.30450605.v1
title: <b>Structures of invertebrate PEZO-1 isoforms with a compact architecture and a dispensable pore-distal N-terminal blade</b>

description: Source data file for the manuscript titled: <b>Structures of invertebrate PEZO-1 isoforms </b><b>with</b><b> </b><b>a compact architecture and a dispensable pore-distal N-terminal blade</b>
DOI: 10.15468/dl.7c7xsx
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia reptans"
 ]
}

 The dataset includes 1198 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047676-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay2qw3
title: Occurrence Download

description: A dataset containing 164 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 confusa"
 ]
}

 The dataset includes 164 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047677-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15005387
title: Canopy height map in China - 2023 part 3

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.15005388
title: Canopy height map in China - 2023 part 3

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: 10.7910/dvn/xgmkdi
title: Replication Data for: Financing Innovation under Ambiguity

description: Replication package for "Financing Innovation under Ambiguity" (accepted for publication in JFQA in 2025) (2025-11-10)
DOI: 10.82263/uandes/yebzvh
title: Análisis de la desinformación en las elecciones generales de Gobernadores y Alcaldes del 27 de octubre 2024
DOI: 10.15468/dl.25wn55
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.274 -0.876817, 103.203729 -0.882383, 103.135187 -0.898945, 103.070062 -0.926094, 103.009956 -0.963163, 102.95635 -1.00924, 102.910563 -1.063189, 102.873722 -1.123682, 102.846735 -1.189232, 102.830266 -1.258224, 102.824722 -1.328959, 102.830241 -1.399696, 102.846687 -1.468693, 102.873656 -1.534252, 102.910485 -1.594757, 102.956269 -1.648719, 103.009879 -1.694807, 103.069996 -1.731887, 103.135139 -1.759046, 103.203703 -1.775613, 103.274 -1.781181, 103.344297 -1.775613, 103.412861 -1.759046, 103.478004 -1.731887, 103.538121 -1.694807, 103.591731 -1.648719, 103.637515 -1.594757, 103.674344 -1.534252, 103.701313 -1.468693, 103.717759 -1.399696, 103.723278 -1.328959, 103.717734 -1.258224, 103.701265 -1.189232, 103.674278 -1.123682, 103.637437 -1.063189, 103.59165 -1.00924, 103.538044 -0.963163, 103.477938 -0.926094, 103.412813 -0.898945, 103.344271 -0.882383, 103.274 -0.876817))"},{"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/0047678-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15005547
title: Canopy height map in China - 2023 part 4

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.15005548
title: Canopy height map in China - 2023 part 4

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.17883118
title: Photoluminescence properties	of	BaCa2Al8O15 :Eu2+ , X(X= HO3+and Y3+ ) phosphor	for	solid	state lighting

description: Blue emitting BaCa2Al8O15 :Eu2+ ,X ( Ho3+ and Y3+) by  combustion synthesis method .The phosphor powers were further investigated by XRD and photoluminescence properties using fluorescence spectroscopy. The photoluminescence result indicate that both BaCa2Al8O15 :Eu2+ ,X ( Ho3+ and Y3+) phosphor can be excited by near ultraviolet light and a strong broad band blue emission centered at 435 nm  corrosponding to the 4f65d1 to 4f6 transition of Eu2+ ions. The obtained results suggested that present phosphor have the possible applications in Hg free excited  solid state lighting.
DOI: 10.5281/zenodo.17883119
title: Photoluminescence properties	of	BaCa2Al8O15 :Eu2+ , X(X= HO3+and Y3+ ) phosphor	for	solid	state lighting

description: Blue emitting BaCa2Al8O15 :Eu2+ ,X ( Ho3+ and Y3+) by  combustion synthesis method .The phosphor powers were further investigated by XRD and photoluminescence properties using fluorescence spectroscopy. The photoluminescence result indicate that both BaCa2Al8O15 :Eu2+ ,X ( Ho3+ and Y3+) phosphor can be excited by near ultraviolet light and a strong broad band blue emission centered at 435 nm  corrosponding to the 4f65d1 to 4f6 transition of Eu2+ ions. The obtained results suggested that present phosphor have the possible applications in Hg free excited  solid state lighting.
DOI: 10.15468/dl.vjkncn
title: Occurrence Download

description: A dataset containing 61 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 ovalifolia"
 ]
}

 The dataset includes 61 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047680-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paswvd
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia roscida"
 ]
}

 The dataset includes 202 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047679-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5y9u4
title: Occurrence Download

description: A dataset containing 331 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 suaveolens"
 ]
}

 The dataset includes 331 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047681-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.