cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5535899
title: Supplementary Data to Kinetic oxygen isotope fractionation between water and aqueous OH- during hydroxylation of CO2

description: In this dataset, we provide analytical data to <strong>Kinetic oxygen isotope fractionation between water and aqueous OH<sup>-</sup> during hydroxylation of CO<sub>2</sub></strong> by Bajnai and Herwartz (2021). Also deposited here is the R code that was used to generate the figures in the manuscript.
description: The fractionation of stable oxygen isotopes between water and aqueous hydroxide ion (ε18H2O/OH-) is an integral parameter in chemical modeling. Quantum chemical calculations predict thermodynamic isotope equilibrium ε18H2O/OH- values that are ca. 24‰ lower than what laboratory experiments suggest. Here, we performed quantitative BaCO3 precipitation experiments across a wide range of temperatures (1–80 °C) to complement the limited set of existing experimental data. The known isotope compositions of the tank CO2 gas and the hyperalkaline Ba(OH)2 solutions allowed us to calculate apparent isotope fractionations. Our data broadly agree with previous experimental ε18H2O/OH- estimates and show a temperature dependence similar to what theoretical models predict (N = 20; T is in °C): ε18H2O/OH- = 0.035(±0.005) x T + 43.4(±0.2) The small difference (-0.6–0‰) between the δ13C values of the precipitates and the tank CO2 suggests that kinetic isotope effects (KIEs) related to the preferential adsorption of isotopically light CO2 are insignificant. Instead, we argue that the observed 24‰ offset between the experimental and theoretical values derives from KIEs related to the preferential reaction of isotopically light OH- during CO2 (aq) hydroxylation (KIEOH-). In our experimental setup, dehydroxylation is posited to be slower than carbonate precipitation; therefore, we conclude that our KIEOH- estimate is close to its maximum value expected for a purely unidirectional reaction path. In natural systems, however, isotope equilibration between water and dissolved inorganic carbon species generally reduces the extent of KIEOH- inherited by the solid carbonate.
DOI: 10.25380/iastate.12645805.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2018

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2018 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: 10.5281/zenodo.5535898
title: Supplementary Data to Kinetic oxygen isotope fractionation between water and aqueous OH- during hydroxylation of CO2

description: In this dataset, we provide analytical data to <strong>Kinetic oxygen isotope fractionation between water and aqueous OH<sup>-</sup> during hydroxylation of CO<sub>2</sub></strong> by Bajnai and Herwartz (2021). Also deposited here is the R code that was used to generate the figures in the manuscript.
description: The fractionation of stable oxygen isotopes between water and aqueous hydroxide ion (ε18H2O/OH-) is an integral parameter in chemical modeling. Quantum chemical calculations predict thermodynamic isotope equilibrium ε18H2O/OH- values that are ca. 24‰ lower than what laboratory experiments suggest. Here, we performed quantitative BaCO3 precipitation experiments across a wide range of temperatures (1–80 °C) to complement the limited set of existing experimental data. The known isotope compositions of the tank CO2 gas and the hyperalkaline Ba(OH)2 solutions allowed us to calculate apparent isotope fractionations. Our data broadly agree with previous experimental ε18H2O/OH- estimates and show a temperature dependence similar to what theoretical models predict (N = 20; T is in °C): ε18H2O/OH- = 0.035(±0.005) x T + 43.4(±0.2) The small difference (-0.6–0‰) between the δ13C values of the precipitates and the tank CO2 suggests that kinetic isotope effects (KIEs) related to the preferential adsorption of isotopically light CO2 are insignificant. Instead, we argue that the observed 24‰ offset between the experimental and theoretical values derives from KIEs related to the preferential reaction of isotopically light OH- during CO2 (aq) hydroxylation (KIEOH-). In our experimental setup, dehydroxylation is posited to be slower than carbonate precipitation; therefore, we conclude that our KIEOH- estimate is close to its maximum value expected for a purely unidirectional reaction path. In natural systems, however, isotope equilibration between water and dissolved inorganic carbon species generally reduces the extent of KIEOH- inherited by the solid carbonate.
DOI: 10.34740/kaggle/dsv/2799414
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25380/iastate.12645217.v2
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: 10.25380/iastate.12645217.v1
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: 10.25380/iastate.12646255.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2019

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2019 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.12646255.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2019

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2019 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.v2
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: 10.25380/iastate.12645234.v1
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: 10.25380/iastate.12645291.v2
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.12645291.v1
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.14887854.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2020

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2020 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.v2
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.12645318.v1
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.12645336.v2
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.12645336.v1
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.12645344.v2
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.12645344.v1
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.12645365.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2013

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2013 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.12645365.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2013

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2013 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.12645380.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2013

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2013 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.12645380.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2013

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2013 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.v2
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.12644812.v1
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.12645399.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2014

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2014 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.12645399.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2014

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2014 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.12644830.v2
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.12644830.v1
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.12645452.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2014

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2014 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.12645452.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2014

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2014 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.12644847.v2
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: 10.25380/iastate.12644847.v1
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: 10.25380/iastate.12645482.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015 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.12645482.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015 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.v2
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: 10.5281/zenodo.5675490
title: Merluccius hubbsi SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5675489
title: Merluccius hubbsi SPAdes preassembly

description: .
DOI: 10.26207/9f4z-gc03
title: Tissue Oxygenation Dynamics During Seizure to Spreading Depression Transition in Rat Brain
DOI: 10.15468/2uawh7
title: The ant genus Strumigenys Smith, 1860 (Hymenoptera: Formicidae) in western North America North of Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article Booher, Douglas B. (2021): The ant genus Strumigenys Smith, 1860 (Hymenoptera: Formicidae) in western North America North of Mexico. Zootaxa 5061 (2): 201-248, DOI: https://doi.org/10.11646/zootaxa.5061.2.1
DOI: 10.34740/kaggle/dsv/2799447
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5675593
title: Data Set of From Monolith to Microservices: Static and Dynamic Analysis Comparison

description: Contains the JSON files with the collected data and the results of the study done.
DOI: 10.5281/zenodo.5675592
title: Data Set of From Monolith to Microservices: Static and Dynamic Analysis Comparison

description: Contains the JSON files with the collected data and the results of the study done.
DOI: 10.5281/zenodo.5637600
title: Optimizing the selection of drug-polymer-water formulations for spray-dried solid dispersions in pharmaceutical manufacturing

description: The files contain 2 MINLP formulations and supplementary material discussed in this publication. The MINLP problems are implemented and solved in GAMS version 36.2.0, using SBB, a local branch-&-bound MINLP solver.
DOI: 10.15468/mz36u9
title: An overview of “ arginussa ” species group of Memphis Hübner, [1819], with the description of a new species from Panama (Lepidoptera: Nymphalidae: Charaxinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dias, Fernando M. S., Riley, Thomas J., Casagrande, Mirna M., Mielke, Olaf H. H. (2021): An overview of “ arginussa ” species group of Memphis Hübner, [1819], with the description of a new species from Panama (Lepidoptera: Nymphalidae: Charaxinae). Zootaxa 5061 (2): 249-270, DOI: https://doi.org/10.11646/zootaxa.5061.2.2
DOI: 10.6084/m9.figshare.16685680
title: Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities

description: Exome capture RNA sequencing was carried out on patient matched primary breast with brain metastatic tumour samples for 45 cases of breast cancer brain metastasis (N= 90 samples). WES DNA sequencing was carried out on 18 pairs and matched normals. Raw sequencing data for the paired primary and metastatic samples are not published openly in order to protect participant identities, but will be made available upon request and under regulatory compliance via a data usage agreement (DUA).<br><i>Data access:</i><i>For all data requests please contact:</i><i>lyoung@rcsi.ie</i>
DOI: 10.5281/zenodo.5675589
title: Psittacara wagleri SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5675588
title: Psittacara wagleri SPAdes preassembly

description: .