cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17595/20210806.002
title: 100-member ensemble simulation output from NIES Chemistry-Climate Models to investigate the effect of unregulated HFC increase on the ozone layer

description: To investigate the effect of unregulated HFC abundance increases on ozone and temperature at the end of the 21st Century, 110-year continuous Chemistry-Climate Model (CCM) runs were performed, under the RCP2.6 and the WMO-A1 scenarios for greenhouse gases (GHGs) and ozone depleting substances (ODSs) concentrations, respectively, for 2095. Two scenarios were designed by specifying the projected upper- and lower-limit HFC concentrations at the end of this century. The datasets are ozone concentration, air density, temperature, wind speeds, and several other dynamical quantities obtained in these simulations. Output from the last 100 years of the 110-year calculation are stored as a 100 member ensemble.
DOI: 10.17595/20221006.001
title: Micrometeorological CO2 Flux Data at Teshio CC-LaG Experiment site (TSE)

description: The Teshio CC-LaG Experiment site (TSE) is located in a conifer-broadleaf mixed forest in the northernmost part of Japan. In order to observe the effects of forestry activities on the carbon, water and materials cycles of forest ecosystems, long-term monitoring of CO2 flux was started in 2001. The trees in the area of 13.7 ha were clear-cut and larch trees were planted in 2003. We monitor and evaluate the changes in forest ecosystem structure and functions along with the growth of larch, and assess the impacts on the process of carbon cycle on a regional scale by applying particular techniques such as the eddy covariance method and remote sensing. This data set includes ecosystem CO2 flux, and sensible and latent heat flux which were measured with eddy covariance methods, and meteorological items, such as temperature, precipitation, wind, and radiation. The meteorological conditions affect plants growth, and they were measured at multiple points of height/depth ranging from 32m height on a flux observation tower to 1.2m depth at forest floor. This dataset is also provided by the AsiaFlux Database (http://asiaflux.net/index.php?page_id=23).
DOI: 10.17595/20210806.001
title: Data based estimate of global ocean CO2 flux

description: Data based estimates of global air-sea CO2 flux are an important part of the Global Carbon Project (e.g., https://doi.org/10.5194/essd-12-3269-2020). This product extends the flux estimate of doi:10.17595/20201020.001 using the grided data of CO2 observations of SOCAT 2021. We made two small changes in the input variables for training a neural network: (1) the log scaled mixed layer depth was used and (2) observed CO2 values over 1000 uatm were excluded.
DOI: 10.17595/20210709.001
title: Observational Data of Atmospheric O3 Mixing Ratios at Mt. Happo Observatory

description: This dataset is time series data of atmospheric ozone (O3) mixing ratios measured at Mt. Happo Observatory situated in Nagano Prefecture, Japan. The observatory is located in the mountainous area (1850 m a.s.l.) near the Sea of Japan coast, and has been used for the observations of long-range transport of trace gases and aerosols from the Asian continent.
DOI: 10.17595/20220301.016
title: Oxygen Isotopic Ratio (O18/O16) of Carbon Dioxide at Comilla, Bangladesh

description: The dataset is oxygen isotopic ratio (δ18O-CO2) of CO2 in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.015
title: Oxygen Isotopic Ratio (O18/O16) of Carbon Dioxide at Nainital, India

description: The dataset is oxygen isotopic ratio (δ18O-CO2) of CO2 in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.014
title: Carbon Isotopic Ratio (C13/C12) of Carbon Dioxide at Comilla, Bangladesh

description: The dataset is carbon isotopic ratio (δ13C-CO2) of CO2 in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.013
title: Carbon Isotopic Ratio (C13/C12) of Carbon Dioxide at Nainital, India

description: The dataset is carbon isotopic ratio (δ13C-CO2) of CO2 in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.011
title: Atmospheric Sulfur Hexafluoride Dry Air Mole Fraction at Nainital, India

description: The dataset is SF6 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.012
title: Atmospheric Sulfur Hexafluoride Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is SF6 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.010
title: Atmospheric Nitrous Oxide Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is N2O dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.009
title: Atmospheric Nitrous Oxide Dry Air Mole Fraction at Nainital, India

description: The dataset is N2O dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.008
title: Atmospheric Molecular Hydrogen Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is H2 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.007
title: Atmospheric Molecular Hydrogen Dry Air Mole Fraction at Nainital, India

description: The dataset is H2 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.006
title: Atmospheric Carbon Monoxide Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is CO dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.005
title: Atmospheric Carbon Monoxide Dry Air Mole Fraction at Nainital, India

description: The dataset is CO dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.004
title: Atmospheric Methane Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is CH4 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.002
title: Atmospheric Carbon Dioxide Dry Air Mole Fraction at Comilla, Bangladesh

description: The dataset is CO2 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Comilla, Bangaldesh since 2012.
DOI: 10.17595/20220301.003
title: Atmospheric Methane Dry Air Mole Fraction at Nainital, India

description: The dataset is CH4 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20220301.001
title: Atmospheric Carbon Dioxide Dry Air Mole Fraction at Nainital, India

description: The dataset is CO2 dry air mole fraction in the air sample which is collected by the weekly flask sampling at Nainital, India since 2006.
DOI: 10.17595/20210611.001
title: Micrometeorological CO2 Flux Data at Tomakomai Flux Research Site (TMK)

description: The comprehensive field research on the carbon cycle in forest ecosystem was conducted at Tomakomai Flux Research site (TMK), in a cool-temperate deciduous needle-leaf forest in Hokkaido, Japan. Unfortunately, the tower and observation systems were destroyed by the strong winds during a typhoon in 2004 and the monitoring was stopped. Available datasets are the flux and meteorological data from 2001 to 2003. This dataset is also provided by the AsiaFlux Database (http://asiaflux.net/index.php?page_id=23).
DOI: 10.17595/20210510.005
title: Atmospheric CO2 flux data observed at Yoyogi, Tokyo

description: This data set contains turbulent flux of carbon deoxide (CO2) observed on a roof-top tower of Tokai University (52 m above ground) in Yoyogi (YYG; 35.66° N, 139.68° E), Tokyo, Japan. The YYG site is a residential area located near the central part of Tokyo. The main landcover around the site is characterized by residential buildings with a mean height of 9 m.
DOI: 10.17595/20210510.004
title: Atmospheric O2 mole fraction data observed at Yoyogi, Tokyo

description: This data set contains O2 mole fraction data observed on a roof-top tower of Tokai University (52 m above ground) and the vertical difference in the mole fractions between 52 and 37 m in Yoyogi (YYG; 35.66° N, 139.68° E), Tokyo, Japan. The YYG site is a residential area located near the central part of Tokyo. The main landcover around the site is characterized by residential buildings with a mean height of 9 m.
DOI: 10.17595/20210510.003
title: Atmospheric CO2 mole fraction data observed at Yoyogi, Tokyo by AIST

description: This data set contains CO2 mole fraction data observed on a roof-top tower of Tokai University (52 m above ground) and the vertical difference in the mole fractions between 52 and 37 m in Yoyogi (YYG; 35.66° N, 139.68° E), Tokyo, Japan. The YYG site is a residential area located near the central part of Tokyo. The main landcover around the site is characterized by residential buildings with a mean height of 9 m.
DOI: 10.17595/20210510.002
title: Atmospheric CO mole fraction data observed at Yoyogi, Tokyo

description: This data set contains carbon monoxide (CO) mole fractions observed on a roof-top tower of Tokai University (37 m above ground) in Yoyogi (YYG; 35.66° N, 139.68° E), Tokyo, Japan. The YYG site is a residential area located near the central part of Tokyo. The main landcover around the site is characterized by residential buildings with a mean height of 9 m.
DOI: 10.17595/20210129.001
title: Fossil-fuel CO2 emission estimates at 1x1 km in Tokyo

description: The product includes annual total fossil-fuel CO2 emissions from point, line, and area sources at 1x1 km spatial resolution in Tokyo in 2014. The emissions were estimated using a bottom-up approach with detailed activity data including the operating ratios of power plants, load factors of vessels, fossil-carbon contents of waste, emission factors for fossil-fueled power generation, aircraft movements, navigation, and combustion processes.
DOI: 10.17595/20210510.001
title: Atmospheric CO2 mole fraction data observed at Yoyogi, Tokyo by NIES

description: This data set contains carbon dioxide (CO2) mole fractions observed on a roof-top tower of Tokai University (37 m above ground) in Yoyogi (YYG; 35.66° N, 139.68° E), Tokyo, Japan. The YYG site is a residential area located near the central part of Tokyo. The main landcover around the site is characterized by residential buildings with a mean height of 9 m.
DOI: 10.17595/20201020.001
title: Global surface ocean CO2 concentration and uptake estimated using a neural network

description: The ocean absorbs about 25% of the atmospheric CO2 emitted by human activities. The estimate of ocean CO2 uptake provides an important constraint on the global carbon budget. This dataset includes monthly distribution of CO2 fugacity and ocean-atmosphere CO2 flux in 1x1 degree grids for the 1985-2019 period estimated using a neural network. The dataset will be updated annually to include the most recent CO2 observations.
DOI: 10.17595/20170113.002
title: Continuous Observational Data of Atmospheric N2O Mixing Ratios at Cape Ochi-ishi

description: The present data set is time series data of atmospheric N2O mixing ratios measured at Cape Ochi-ishi situated at the base of Nemuro Peninsula in eastern Hokkaido, Japan. The monitoring station is located on top of a cliff 50 m above ground at the southern tip of the cape facing the Pacific Ocean. Air is sampled from an intake placed on a tower adjacent to the observation station about 50 m above ground level, and the N2O mixing ratios are measured semi-continuously by using a gas chromatographic system. The winds tend to be predominantly northwesterly in winter and southwesterly in summer, whereas in spring and autumn no predominant wind direction has been observed.
DOI: 10.17595/20170113.001
title: Continuous Observational Data of Atmospheric N2O Mixing Ratios on Hateruma Island

description: The present data set is time series data of atmospheric N2O mixing ratios measured on Hateruma Island, Japan. Hateruma Island is a small ellipse-shaped island in east-west direction with an area of 13 m2, and is the southwestern-most inhabited island of the Japanese archipelago with a population of 500. The monitoring station is located at the eastern tip of the island. Air is sampled from an intake placed on a tower adjacent to the observation station about 36 m above ground level, and the N2O mixing ratios are measured semi-continuously by using a gas chromatographic system. Hateruma is influenced by the East Asian monsoon, with northerly winds from the continent in winter and southerly winds from the Pacific Ocean in summer. Since Hateruma is a small island surrounded by seas, the influence from local emission sources is negligible.
DOI: 10.17595/20180628.001
title: Improved Limb Atmospheric Spectrometer (ILAS), Version 6.1

description: The Improved Limb Atmospheric Spectrometer (ILAS) is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere.
The retrieval algorithm is based on an onion-peeling method that uses a nonlinear least squares fitting for observed and theoretically calculated transmittance spectra (spectral fitting) at every 1 km downward from an altitude of 70 km to ~10 km to determine the volume mixing ratios of ten different trace gases (O3, HNO3, NO2, N2O, CH4, H2O, CFC-11, CFC-12, ClONO2, and N2O5).
DOI: 10.17595/20180628.002
title: Improved Limb Atmospheric Spectrometer (ILAS), Version 8.0

description: The Improved Limb Atmospheric Spectrometer (ILAS) is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere.
The retrieval algorithm is based on an onion-peeling method that uses a nonlinear least squares fitting for observed and theoretically calculated transmittance spectra (spectral fitting) at every 1 km downward from an altitude of 70 km to ~10 km to determine the volume mixing ratios of ten different trace gases (O3, HNO3, NO2, N2O, CH4, H2O, CFC-11, CFC-12, ClONO2, and N2O5). In this Version 8.0 data set, aerosol extinction coefficient and other auxiliary data are identical to the Version 6.1 data set.
DOI: 10.17595/20180628.003
title: Improved Limb Atmospheric Spectrometer-II (ILAS-II), Version 2

description: The Improved Limb Atmospheric Spectrometer (ILAS)-II is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere.
The retrieval algorithm is based on an onion-peeling method that uses a nonlinear least squares fitting for observed and theoretically calculated transmittance spectra (spectral fitting) at every 1 km downward from an altitude of 70 km to ~10 km to determine the volume mixing ratios of ten different trace gases (O3, HNO3, NO2, N2O, CH4, H2O, CFC-11, CFC-12, ClONO2, and N2O5). In practice, the sunset and sunrise data are retrieved by the version 2.0 and 2.1 algorithms, respectively, but this data set is distributed as the version 2.
DOI: 10.17595/20180628.004
title: Improved Limb Atmospheric Spectrometer-II (ILAS-II), Version 3.0

description: The Improved Limb Atmospheric Spectrometer (ILAS)-II is a satellite-borne sensor that measures ozone and its related chemical species in the high-latitude stratosphere on the basis of the solar occultation technique. There are approximately 14 measurements a day for each of the hemispheres, at sunrise seen from the satellite in the Northern Hemisphere and at sunset seen from the satellite in the Southern Hemisphere.
The retrieval algorithm is based on an onion-peeling method that uses a nonlinear least squares fitting for observed and theoretically calculated transmittance spectra (spectral fitting) at every 1 km downward from an altitude of 70 km to ~10 km to determine the volume mixing ratios of ten different trace gases (O3, HNO3, NO2, N2O, CH4, H2O, CFC-11, CFC-12, ClONO2, and N2O5). In this Version 3.0 data set, aerosol extinction coefficient and other auxiliary data are identical to the Version 2.0 data set.
DOI: 10.17595/20200128.001
title: 日本の一般廃棄物長期時系列データ閲覧システム

description: 本データ閲覧システムは、環境省の「一般廃棄物処理実態調査」により収集されたデータのうち、1971年度から2016年度までの都道府県別、市区町村別の以下の各項のデータおよびその閲覧システムから成る。(1)ごみ総排出量(2)ごみ総資源化量(3)ごみ集団回収量(4)ごみ最終処分量(5)ごみ直接最終処分量(6)ごみ経費（歳入）(7)浄化槽人口(8)し尿処理量(9)し尿経費（歳入）(10) 廃棄物処理事業人員（市町村）
DOI: 10.17595/20190911.002
title: Atmospheric Profiles and Total Columns of O3, HNO3, and HCl Measured by Fourier Transform Infrared Spectrometer (FTIR) at Antarctic Syowa Station in 2011

description: The present data set is vertical profile and total column of O3, HNO3, and HCl measured by Fourier Transform Infrared spectrometer (FTIR) installed at Antarctic Syowa Station (69.0S, 39.6E) in 2011 and analyzed by SFIT2 Version 3.92 program. The Bruker's IFS-120M FTIR was installed at Syowa Station in March 2007, and made sporadic observations in 2007, 2011, and 2016. Now, the FTIR was brought back to Japan. Since Syowa Station is located near the polar vortex edge region in winter, we have chances to measure both inside and outside the polar vortex air.
DOI: 10.17595/20190911.001
title: Atmospheric Profiles and Total Columns of O3, HNO3, and HCl Measured by Fourier Transform Infrared Spectrometer (FTIR) at Antarctic Syowa Station in 2007

description: The present data set is vertical profile and total column of O3, HNO3, and HCl measured by Fourier Transform Infrared spectrometer (FTIR) installed at Antarctic Syowa Station (69.0S, 39.6E) in 2007 and analyzed by SFIT2 Version 3.92 program. The Bruker's IFS-120M FTIR was installed at Syowa Station in March 2007, and made sporadic observations in 2007, 2011, and 2016. Now, the FTIR was brought back to Japan. Since Syowa Station is located near the polar vortex edge region in winter, we have chances to measure both inside and outside the polar vortex air.
DOI: 10.5281/zenodo.7586212
title: High-throughput crystallography for rapid early-stage fragment growth from crude arrays by low-cost robotics

description: Data to support the paper - <em>High-throughput crystallography for rapid early-stage fragment growth from crude arrays by low-cost robotics</em>. Data includes a summary of X-ray and LCMS results for the reactions executed on the OpenTrons, output reports and summaries from MSCheck (semi-automated LCMS analyzer tool) and the Python scripts used to execute single and multistep chemistry on the OpenTrons. <strong>Abstract</strong> We demonstrate that a simple workflow of array synthesis, combining low-cost robotics with analytic techniques to deconvolute crude reaction mixtures, is an effective way to collect structural data on a binding site. Starting from the high information content of the crystallographic fragment screens on PHIP(2) (second bromodomain of the pleckstrin homology domain interacting protein), a collection of more than 1800 compounds was enumerated. Several thousand <em>Crude Reaction Mixtures</em> (CRMs) were synthesized on one robotic platform, an OpenTrons OT-1 liquid handler, using reaction sequences of up to 5 chemical steps. Analysis via MScheck, an algorithm-based system for finding a m/z in a CRM, significantly shortened product identification protocol times. 957 usable X-ray diffraction datasets were acquired, which resolved as 22 reaction products binding to the protein, 19 with conserved poses relative to the original fragment and 3 with a new, unexpected binding pose. The 22 crystallographic hit compounds were subsequently tested with peptide displacement alpha-screen assay and time-resolved grating-coupled interferometry-based biosensor assays, which confirmed one molecule with an IC<sub>50</sub> = 34 μM and K<sub>D</sub> = 50 μM, from an inactive fragment. The procedures described are entirely formulaic and engineerable and the method is eminently scalable. We anticipate that this cheap, low solvent-use approach will yield vast amounts of data, enabling rapid SAR landscape exploration around fragments, leading to faster fragment to lead times.
DOI: 10.5281/zenodo.7586211
title: High-throughput crystallography for rapid early-stage fragment growth from crude arrays by low-cost robotics

description: Data to support the paper - <em>High-throughput crystallography for rapid early-stage fragment growth from crude arrays by low-cost robotics</em>. Data includes a summary of X-ray and LCMS results for the reactions executed on the OpenTrons, output reports and summaries from MSCheck (semi-automated LCMS analyzer tool) and the Python scripts used to execute single and multistep chemistry on the OpenTrons. <strong>Abstract</strong> We demonstrate that a simple workflow of array synthesis, combining low-cost robotics with analytic techniques to deconvolute crude reaction mixtures, is an effective way to collect structural data on a binding site. Starting from the high information content of the crystallographic fragment screens on PHIP(2) (second bromodomain of the pleckstrin homology domain interacting protein), a collection of more than 1800 compounds was enumerated. Several thousand <em>Crude Reaction Mixtures</em> (CRMs) were synthesized on one robotic platform, an OpenTrons OT-1 liquid handler, using reaction sequences of up to 5 chemical steps. Analysis via MScheck, an algorithm-based system for finding a m/z in a CRM, significantly shortened product identification protocol times. 957 usable X-ray diffraction datasets were acquired, which resolved as 22 reaction products binding to the protein, 19 with conserved poses relative to the original fragment and 3 with a new, unexpected binding pose. The 22 crystallographic hit compounds were subsequently tested with peptide displacement alpha-screen assay and time-resolved grating-coupled interferometry-based biosensor assays, which confirmed one molecule with an IC<sub>50</sub> = 34 μM and K<sub>D</sub> = 50 μM, from an inactive fragment. The procedures described are entirely formulaic and engineerable and the method is eminently scalable. We anticipate that this cheap, low solvent-use approach will yield vast amounts of data, enabling rapid SAR landscape exploration around fragments, leading to faster fragment to lead times.
DOI: 10.17909/gyj0-3629
title: Source Data for HTTP

description: HTTP provides a unique multi-band view of the Tarantula Nebula, which is necessary to map the stellar content of the Tarantula Nebula within its main body. HTTP was awarded 60 orbits of HST time in Cycle 20 to survey the entire Tarantula Nebula, using both the UVIS and the IR channels of the Wide Field Camera 3 WFC3) and, in parallel, the Wide Field Channel (WFC) of the Advanced Camera for Surveys (ACS).