cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25380/iastate.12645344
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2012

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2012 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645336
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2012

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2012 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645318
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2011

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2011 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645291
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2011

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2011 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645234
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2010

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2010 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.5517/ccdc.csd.cc243y29
title: CCDC 1969990: Experimental Crystal Structure Determination

description: Related Article: Riqing Ding, Ke Qin, Huili Sun, Shasha Zhou, Sidan Guo, Hui Feng, Huili Ma, Zhaosheng Qian|2021|J.Mater.Chem.C|9|12177|doi:10.1039/D1TC01713F
DOI: 10.5517/ccdc.csd.cc26v35c
title: CCDC 2050872: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v36d
title: CCDC 2050873: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v37f
title: CCDC 2050874: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v38g
title: CCDC 2050875: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v39h
title: CCDC 2050876: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v3bj
title: CCDC 2050877: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v3ck
title: CCDC 2050878: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc26v3dl
title: CCDC 2050879: Experimental Crystal Structure Determination

description: Related Article: Liangjing Tu, Weilong Che, Shuhui Li, Xiaoning Li, Yujun Xie, Zhen Li|2021|J.Mater.Chem.C|9|12124|doi:10.1039/D1TC02742E
DOI: 10.5517/ccdc.csd.cc270n20
title: CCDC 2056201: Experimental Crystal Structure Determination

description: Related Article: Zhaohui Zong, Zhaozhen Cao, Aiyou Hao, Pengyao Xing|2021|J.Mater.Chem.C|9|12191|doi:10.1039/D1TC02381K
DOI: 10.5517/ccdc.csd.cc270n31
title: CCDC 2056202: Experimental Crystal Structure Determination

description: Related Article: Zhaohui Zong, Zhaozhen Cao, Aiyou Hao, Pengyao Xing|2021|J.Mater.Chem.C|9|12191|doi:10.1039/D1TC02381K
DOI: 10.5517/ccdc.csd.cc270n42
title: CCDC 2056203: Experimental Crystal Structure Determination

description: Related Article: Zhaohui Zong, Zhaozhen Cao, Aiyou Hao, Pengyao Xing|2021|J.Mater.Chem.C|9|12191|doi:10.1039/D1TC02381K
DOI: 10.5517/ccdc.csd.cc270n53
title: CCDC 2056204: Experimental Crystal Structure Determination

description: Related Article: Zhaohui Zong, Zhaozhen Cao, Aiyou Hao, Pengyao Xing|2021|J.Mater.Chem.C|9|12191|doi:10.1039/D1TC02381K
DOI: 10.5517/ccdc.csd.cc27thyj
title: CCDC 2080098: Experimental Crystal Structure Determination

description: Related Article: Takahiro Sawano, Takeshi Matsui, Marina Koga, Eri Ishikawa, Ryo Takeuchi|2021|Chem.Commun.|57|9684|doi:10.1039/D1CC03968G
DOI: 10.5517/ccdc.csd.cc27thzk
title: CCDC 2080099: Experimental Crystal Structure Determination

description: Related Article: Takahiro Sawano, Takeshi Matsui, Marina Koga, Eri Ishikawa, Ryo Takeuchi|2021|Chem.Commun.|57|9684|doi:10.1039/D1CC03968G
DOI: 10.5517/ccdc.csd.cc27w46h
title: CCDC 2081656: Experimental Crystal Structure Determination

description: Related Article: Akansha Singh, Ravindra Kumar|2021|Chem.Commun.|57|9708|doi:10.1039/D1CC03256A
DOI: 10.5517/ccdc.csd.cc27wz8d
title: CCDC 2082464: Experimental Crystal Structure Determination

description: Related Article: Wentao Li, Jiaxiang Liu, Baowen Wang, Siyu Hou, Xingqiang Lü, Guorui Fu, Wai-Yeung Wong|2021|J.Mater.Chem.C|9|12068|doi:10.1039/D1TC03203H
DOI: 10.5517/ccdc.csd.cc281hrl
title: CCDC 2086819: Experimental Crystal Structure Determination

description: Related Article: Qi-Li-Sha Wang, Yue-Jian Lin, Guo-Xin Jin|2021|Chem.Commun.|57|9772|doi:10.1039/D1CC03699H
DOI: 10.5517/ccdc.csd.cc281hsm
title: CCDC 2086820: Experimental Crystal Structure Determination

description: Related Article: Qi-Li-Sha Wang, Yue-Jian Lin, Guo-Xin Jin|2021|Chem.Commun.|57|9772|doi:10.1039/D1CC03699H
DOI: 10.5517/ccdc.csd.cc281htn
title: CCDC 2086821: Experimental Crystal Structure Determination

description: Related Article: Qi-Li-Sha Wang, Yue-Jian Lin, Guo-Xin Jin|2021|Chem.Commun.|57|9772|doi:10.1039/D1CC03699H
DOI: 10.5517/ccdc.csd.cc281hvp
title: CCDC 2086822: Experimental Crystal Structure Determination

description: Related Article: Qi-Li-Sha Wang, Yue-Jian Lin, Guo-Xin Jin|2021|Chem.Commun.|57|9772|doi:10.1039/D1CC03699H
DOI: 10.5517/ccdc.csd.cc282tnv
title: CCDC 2088087: Experimental Crystal Structure Determination

description: Related Article: Yann Le Gal, HengBo Cui, Pere Alemany, Enric Canadell, Reizo Kato, Thierry Roisnel, Vincent Dorcet, Marc Fourmigué, Dominique Lorcy|2021|J.Mater.Chem.C|9|12291|doi:10.1039/D1TC02751D
DOI: 10.5517/ccdc.csd.cc282tpw
title: CCDC 2088088: Experimental Crystal Structure Determination

description: Related Article: Yann Le Gal, HengBo Cui, Pere Alemany, Enric Canadell, Reizo Kato, Thierry Roisnel, Vincent Dorcet, Marc Fourmigué, Dominique Lorcy|2021|J.Mater.Chem.C|9|12291|doi:10.1039/D1TC02751D
DOI: 10.5517/ccdc.csd.cc282tqx
title: CCDC 2088089: Experimental Crystal Structure Determination

description: Related Article: Yann Le Gal, HengBo Cui, Pere Alemany, Enric Canadell, Reizo Kato, Thierry Roisnel, Vincent Dorcet, Marc Fourmigué, Dominique Lorcy|2021|J.Mater.Chem.C|9|12291|doi:10.1039/D1TC02751D
DOI: 10.5517/ccdc.csd.cc282x9l
title: CCDC 2088169: Experimental Crystal Structure Determination

description: Related Article: Xiang Wu, Du Ding, Ying Zhang, Hua-Jie Jiang, Tao Wang, Li-Ping Zhao|2021|Chem.Commun.|57|9680|doi:10.1039/D1CC03568A
DOI: 10.5517/ccdc.csd.cc282xbm
title: CCDC 2088170: Experimental Crystal Structure Determination

description: Related Article: Xiang Wu, Du Ding, Ying Zhang, Hua-Jie Jiang, Tao Wang, Li-Ping Zhao|2021|Chem.Commun.|57|9680|doi:10.1039/D1CC03568A
DOI: 10.5517/ccdc.csd.cc285p49
title: CCDC 2090830: Experimental Crystal Structure Determination

description: Related Article: Hui Peng, Ye Tian, Xinxin Wang, Tao Huang, Yonghao Xiao, Tiantian Dong, Jinming Hu, Jianping Wang, Bingsuo Zou|2021|J.Mater.Chem.C|9|12184|doi:10.1039/D1TC02906A
DOI: 10.25380/iastate.12645217
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2010

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2010 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.5517/ccdc.csd.cc288lw1
title: CCDC 2093643: Experimental Crystal Structure Determination

description: Related Article: Xia Yu, Yuzhang Meng, Hao Zhang, Junbo Guo, Shixian Wang, Hui Li, Jun Hu, Min-Hui Li|2021|Nanoscale|13|15257|doi:10.1039/D1NR04353F
DOI: 10.5517/ccdc.csd.cc28918x
title: CCDC 2094058: Experimental Crystal Structure Determination

description: Related Article: Jan Svoboda, Aram Zolal, František Králík, Václav Eigner, Tomáš Ruml, Jaroslav Zelenka, Kamila Syslová|2021|Polyhedron|209|115458|doi:10.1016/j.poly.2021.115458
DOI: 10.25380/iastate.12645045
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2009

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2009 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.3886/e118725
title: Data and Code for: The Young, the Old, and the Government: Demographics and Fiscal Multipliers

description: We document that government spending multipliers depend on the population age structure. Using the variation in military spending and birth rates across U.S. states, we show that the local fiscal multiplier is 1.5 and increases with the population share of young people, implying multipliers of 1.1-1.9 in the inter-quartile range. A parsimonious life-cycle open-economy New Keynesian model with credit market imperfections and age-specific differences in labor supply and demand explains 87% of the relationship between local multipliers and demographics. The model implies that the U.S. population aging between 1980 and 2015 caused a 38% drop in national government spending multipliers.
description: Mostly US population / US States.
description: Birth Rates collected from digitalized Vital Statistics of the United States Volumes.
DOI: 10.3886/e118725v1
title: Data and Code for: The Young, the Old, and the Government: Demographics and Fiscal Multipliers

description: We document that government spending multipliers depend on the population age structure. Using the variation in military spending and birth rates across U.S. states, we show that the local fiscal multiplier is 1.5 and increases with the population share of young people, implying multipliers of 1.1-1.9 in the inter-quartile range. A parsimonious life-cycle open-economy New Keynesian model with credit market imperfections and age-specific differences in labor supply and demand explains 87% of the relationship between local multipliers and demographics. The model implies that the U.S. population aging between 1980 and 2015 caused a 38% drop in national government spending multipliers.
description: Mostly US population / US States.
description: Birth Rates collected from digitalized Vital Statistics of the United States Volumes.
DOI: 10.5281/zenodo.5523390
title: RFR-CCS: A monthly surface pCO2 product for the California Current Large Marine Ecosystem

description: <strong>Description</strong> RFR-CCS is a monthly data product of surface pCO2 for the California Current Large Marine Ecosystem. It was built using pCO2 observations from the Surface Ocean CO2 Atlas, fit against a variety of driver variables (sources of which are listed below) using a Random Forest Regression, and provided on a 0.25 degree resolution grid from January 1998 to December 2020. <strong>Citation</strong> If using this product, please cite the original manuscript: Sharp, J.D., Fassbender, A.J., Carter, B.C., Lavin, P.D., and Sutton, A.J. A monthly surface pCO2 product for the California Current Large Marine Ecosystem. submitted to Earth System Science Data. <strong>Driver Variables</strong> 1. Sea Surface Temperature: OISSTv2 2. Sea Surface Salinity: ECCO2 3. Chlorophyll-a: Oregon State (via NASA) 4. Wind Speed: ERA5 5. Atmospheric pCO2: NOAA MBL 6. Mixed Layer Depth: HYCOM 7. Distance from Shore: Calculated from latitude and longitude (dist2coast, Climate Data Toolbox) 8. Year 9. Month of Year
DOI: 10.25380/iastate.12645006
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.3886/e118064
title: Data and Code for "Household Search and the Marital Wage Premium"

description: We develop a model where selection into marriage and household search generate a marital wage premium. Beyond selection, married individuals earn higher wages for two reasons. First, income pooling within a joint household raises risk-averse individuals' reservation wages. Second, married individuals climb the job ladder faster, as they internalize that higher wages increase their partner's selectivity over offers. Specialization according to comparative advantage in search generates a premium that increases in spousal education, as in the data. Quantitatively, household search explains 10-33% and 20-58% of the premium for males and females respectively, and accounts for its increase with spousal education.<br>
DOI: 10.3886/e118064v1
title: Data and Code for "Household Search and the Marital Wage Premium"

description: We develop a model where selection into marriage and household search generate a marital wage premium. Beyond selection, married individuals earn higher wages for two reasons. First, income pooling within a joint household raises risk-averse individuals' reservation wages. Second, married individuals climb the job ladder faster, as they internalize that higher wages increase their partner's selectivity over offers. Specialization according to comparative advantage in search generates a premium that increases in spousal education, as in the data. Quantitatively, household search explains 10-33% and 20-58% of the premium for males and females respectively, and accounts for its increase with spousal education.<br>
DOI: 10.25380/iastate.12644947
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644917
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644917.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644917.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.6084/m9.figshare.16673851
title: Datasets for 'Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits'

description: Datasets supporting the findings in 'Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits'
DOI: 10.25380/iastate.12644890
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644890.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644890.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2007 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644887
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644859
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2006

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2006 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.6084/m9.figshare.16673881.v1
title: Raw data for "Comparison of myonuclear domain in phylogenetically paired tropical and temperate bird species"

description: This is the raw data that accompanies "Comparison of myonuclear domain in phylogenetically paired tropical and temperate bird species" published in the Journal of Avian biology.
DOI: 10.6084/m9.figshare.16673881
title: Raw data for "Comparison of myonuclear domain in phylogenetically paired tropical and temperate bird species"

description: This is the raw data that accompanies "Comparison of myonuclear domain in phylogenetically paired tropical and temperate bird species" published in the Journal of Avian biology.
DOI: 10.25380/iastate.12644847
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2005

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2005 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25345/c5tg15
title: MassIVE MSV000088147 - GNPS Streptomyces sp. BRA-346_Reproducibility
title: Four cultures of BRA-346 were analysed (C3a, C3b, C3c, and C5). The C3 a-c cultures are replicates conducted in parallel. C5 is a BRA-346 culture performed in an independent experiment, however following the same experimental conditions used for C3 cultures.
DOI: 10.25380/iastate.12644830
title: seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2005

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2005 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644812
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2004

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2004 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644247
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2004

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2004 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644233
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.