This upload contains the main dataset and codes represented in the figures of the following publication:
“Nano-electromechanical spatial light modulator enabled by asymmetric resonant dielectric metasurfaces” by Hyounghan Kwon et al.}, year = {2022}, } @data{10.22002/D1.20288 title = {CO2 simulations for “Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude”}, author = {He, Liyin}, doi = {10.22002/D1.20288}, abstract = {simulated surface CO2 concentrations (unit: ppm) from 2001 to 2018 used in paper “Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude” (Article DOI: 10.1029/2021GB007220).}, year = {2022}, } @data{10.22002/D1.20287 title = {Indy Old Records}, author = {Camila Suarez}, doi = {10.22002/D1.20287}, abstract = {indy data before Venice change. Book 1 and Book 2 page 73}, year = {2022}, } @data{10.14291/tccon.ggg2020.indianapolis01.R1 title = {TCCON data from Indianapolis (US), Release GGG2020.R1}, author = {Iraci, L. T. and Podolske, J. R. and Hillyard, P. W. and Roehl, C. and Wennberg, P. O. and Blavier, J.-F. and Landeros, J. and Allen, N. and Wunch, D. and Zavaleta, J. and Quigley, E. and Osterman, G. B. and Barrow, E. and Barney, J.}, doi = {10.14291/tccon.ggg2020.indianapolis01.R1}, abstract = {The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Indianapolis, Indiana, USA}, year = {2022}, } @data{10.22002/D1.20281 title = {Crystallization Kinetics of Magnesium Sulfate Hydrate on Europa}, author = {Johnson, Paul}, doi = {10.22002/D1.20281}, abstract = {Data behind figures for “Crystallization Kinetics of Vitreous Magnesium Sulfate Hydrate and Implications for Europa’s Surface,” submitted to Geophysical Research Letters
}, year = {2022}, } @data{10.22002/D1.20279 title = {Surveying metal antimonate photoanodes for solar fuel generation}, author = {Zhou, Lan and Gregoire, John M.}, doi = {10.22002/D1.20279}, abstract = {Data .zip file containing data tables used to generate the figures of the associated manuscript, raw photoelectrochemistry data, and .udi files that combined composition and XRD data. See the enclosed readme.txt}, year = {2022}, } @data{10.14291/tccon.ggg2020.hefei01.R0 title = {TCCON data from Hefei (PRC), Release GGG2020.R0}, author = {Liu, Cheng and Wang, Wei and Sun, Youwen and Shan, Changgong}, doi = {10.14291/tccon.ggg2020.hefei01.R0}, abstract = {The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Hefei, China}, year = {2022}, } @data{10.14291/tccon.ggg2020.edwards01.R0 title = {TCCON data from Edwards (US), Release GGG2020.R0}, author = {Iraci, L. T. and Podolske, J. R. and Roehl, C. and Wennberg, P. O. and Blavier, J.-F. and Allen, N. and Wunch, D. and Osterman, G. B.}, doi = {10.14291/tccon.ggg2020.edwards01.R0}, abstract = {The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Armstrong Flight Research Center, Edwards, CA, USA}, year = {2022}, } @data{10.22002/D1.20272 title = {Kinetics of Methane Clathrate Substitution by Liquid Ethane}, author = {Vu, Tuan H.}, doi = {10.22002/D1.20272}, abstract = {Raman data on the reaction between methane clathrate hydrate and liquid ethane at 1 bar and 155 K}, year = {2022}, } @data{10.22002/D1.20271 title = {Dataset: Enteroendocrine cell expression of split-GAL4 drivers bearing regulatory sequences associated with panneuronally expressed genes in Drosophila melanogaster}, author = {Kevin R. Cook}, doi = {10.22002/D1.20271}, abstract = {This table provides detailed midgut and brain scoring data for each split-GAL4 pair examined in this study}, year = {2022}, } @data{10.22002/D1.20265 title = {Dataset: Enteroendocrine cell expression of split-GAL4 drivers bearing regulatory sequences associated with panneuronally expressed genes in Drosophila melanogaster}, author = {Kevin R. Cook}, doi = {10.22002/D1.20265}, abstract = {This table provides detailed midgut and brain scoring data for each split-GAL4 pair examined in this study.}, year = {2022}, } @data{10.22002/D1.20264 title = {Table of Titan equatorial pits}, author = {Malaska, Michael}, doi = {10.22002/D1.20264}, abstract = {Text file of Titan equatorial pit locations. Fields include: entry number, feature type, center latitude, center longitude, including latitude in 360E coordinates, region, number of SAPs, literature references where feature described}, year = {2022}, } @data{10.22002/D1.20263 title = {Table of Titan labyrinth terrain locations}, author = {Malaska, Michael}, doi = {10.22002/D1.20263}, abstract = {Table of Titan labyrinth terrains estimated to contain at least one closed valley. Fields include entry#, labyrinth terrain type (included 3 letter code), labyrinth terrain locations (centroid coordinates (lat, lon, lon(360E)), key parameters (area_km2, percent closed valley area, average valley width an length in km, average closed valley area assuming 2:1 cell size, and estimated number of subsurface access points (SAPs)}, year = {2022}, } @data{10.22002/D1.20262 title = {Table of Titan empty steep sided depressions}, author = {Malaska, Michael}, doi = {10.22002/D1.20262}, abstract = {data table with locations of empty steep-sided depressions on Titan. Fields are entry#, type_feature, latitude, longitude, and longitude (E360), number_SAPs in the feature}, year = {2022}, } @data{10.22002/D1.20261 title = {Table of Titan filled steep sided depressions}, author = {Malaska, Michael}, doi = {10.22002/D1.20261}, abstract = {data table with locations of filled lakes on Titan. Fields are entry#, type_feature, latitude, longitude, and longitude (E360), number_SAPs in the feature}, year = {2022}, } @data{10.22002/D1.20260 title = {Table of Titan putative cryovolcanic pits}, author = {Malaska, Michael}, doi = {10.22002/D1.20260}, abstract = {data table with a single entry for Sotra Patera cryovolcanic pit on Titan. fields are entry, type_feature, latitude, longidude, and longitude (E360), number_SAP, and literature reference}, year = {2022}, } @data{10.22002/D1.20259 title = {Single crystal CIF files for Confinement Effects Facilitate Low Concentration Carbon Dioxide Capture with Zeolites}, author = {Fu, Donglong; Park, Youngkyu; Davis, Mark E.}, doi = {10.22002/D1.20259}, abstract = {This dataset includes CIF files for PNAS publication “Confinement Effects Facilitate Low Concentration Carbon Dioxide Capture with Zeolites”}, year = {2022}, } @data{10.22002/D1.20258 title = {Bedrock Topography and Sections Across Raymond Basin}, author = {John Peter Buwalda}, doi = {10.22002/D1.20258}, abstract = {Geologic Map and Sections across the Raymond Basin. Consulting geologist, John P. Buwalda produced a report entitled Geology of the Raymond Basin for the Pasadena Water Department. Here, we report the bedrock topography (plate 2) and the cross-sections (plate 3) from the Geology of the Raymond Basin report by John P. Buwalda.}, year = {2022}, } @data{10.22002/D1.20256 title = {Gravity Data For Southern California}, author = {Clayton, Robert}, doi = {10.22002/D1.20256}, abstract = {Lists of gravity observations with one line per data point}, year = {2022}, } @data{10.22002/D1.20255 title = {Raw Data and Processing Pipeline Files for Cecilia B. Sanders 2022 PhD}, author = {Sanders, Cecilia}, doi = {10.22002/D1.20255}, abstract = {“Read Me” Guide to Cecilia B. Sanders’ 2022 Ph.D. Thesis Data Files:
CAS_AbundanceData_Raw_CeciliaSanders.pdf > This is a PDF file of 2 tables containing information about sample preparations for ion chromatography and trace carbonate-associated sulfate (CAS) measurements made in Caltech’s Division of Geological and Planetary Sciences using Neptune ICP-MS. > Each row contains information specific to the sample ID indicated in the farthest left column titled “Sample”. Sample IDs are consistent with Table 1 of the thesis chapter 2. > In the upper table… Each column is labeled according to its contents, from left-to-right describing: the XRD-constrained mineralogical composition of the samples, the mass of untreated sample powders, the mass of the acid-cleaned microcentrifuge tubes into which the sample powders were weighed, the mass of the sample powders AFTER cleaning protocols and dehydration in oven, the difference between sample powder masses before and after washing/rinsing (presumed the mass of each sample’s non-carbonate fraction), the concentration of structural sulfate measured in 250 ul aliquots of dissolved sample in acid via ion chromatography, and the calculation of CAS abundance based on the measured powder masses and IC concentration data. The last two columns describe the amount of liquid that was added to the washed, rinsed, dissolved, and dried down samples for matrix-matching purposes during ICP-MS. > In the lower table… This table contains information relevant to the preparation of sample, standard, and blank solutions for measurement against an in-house dissolved sulfate standard (i.e., volume of sodium and sample-in-acid solutions combined for each measurement. > In these tables, color flooding indicates viability of each sample for ICP-MS. Red = insufficient sulfate abundance AND/OR evidence of contamination in sulfate elution curves during IC. Yellow = Borderline sulfate abundance AND/OR evidence of contamination in sulfate elution curves during IC. Green = Sufficient sulfate abundance AND minimal evidence of contamination in sulfate elution curves during IC.
CAS_RawData_CeciliaSanders.xlsx > This is an Excel file containing raw data from ICP-MS measurement of trace CAS samples, containing multiple Sheets of information. > 2021-11-18 >> This sheet contains the raw data values reported by the ICP-MS control software. From left to right, the columns contain information about each listed acquisition’s: auto-generated filename, average and standard errors of voltages measured at the Faraday Cup detectors for m/v = 32 and m/v = 34, voltage ratios of 34/32 and 33/32, and “capD, described in text of thesis chapter 4. The blue highlighted columns further to the left represent the conversion of these raw voltages into uncorrected delta 34 S and delta 33 S values (expressed as per mille). > Plots >> This sheet contains plots of ratios of signal intensity for 33/32 and 34/32 for all sample, standard, and blank acquisitions. There are also included plots of the signal intensity for 32S alone for samples and blanks as a function of position in the sequence of acquisitions – indicative of instrumental response drift for samples/standards/procedural blanks AND comparison standards (blks) which bracketed each acquisition. > blk >> Provides the same information as 2021-11-18, but for the bracketing comparison standards (blks) which were alternated with sample/standard/procedural blanks solutions. > DeltaValues >> Combined information from 2021-11-18 and blk sheets, with additional columns showing applied correction for signal drift derived from bracketing comparison standards (blks). > blanks >> calculated delta values, relative intensity of sample to bracketing standard (blk), and ultimately sulfate concentration for 2 PROCEDURAL BLANKS. > END >> For each sample, standard, and procedural blank, a summary of instrumental drift corrections and generated raw data filenames. > summary >> average delta values and standard errors, relative intensities, CAS abundance, and applied corrections for all measured samples and standards. Final column and text colors provide notes about criteria for assessing data”quality" and “reliability” as detailed in text of thesis chapter 4.
Clumped_RawData_CeciliaSanders > This is an Excel file containing raw data, and detailing each step in the projection of those data into a universal reference frame, as well as the application of empirical relationships between calculated D47 and d18O, and temperature and fluid d18O. Multiple sheets: > FlatlistData >> Each row describes GC-MS data for each indicated sample, standard, or equilibrated or heated gas. The format of this sheet is standard to the autoline and GC-MS measurements made at Caltech. Overlaying the data tables are plots (labeled, annotated) showing the calculation of an empirical transfer function which projects the raw d and D values for each measurement into an absolute reference frame. > Sheet4 >> A “scratch” sheet showing the calculation of d18O_mineral from the actual measured d18O gas (generated by acid-digestion of powder sample and standard carbonate and carbonate-fluorapatite). > PracticeSheet >> An example sheet which, from left-to-right, details the processing of raw delta and Delta values through the derivation and application of the empirical transfer function, and the calculation of clumped isotope temperature. ALSO SERVES AS README GUIDE FOR FlatlistData. > ProcessedDataOrganization >> Same operations described in PracticeSheet, applied to all sample measurements. Row highlight colors correspond to “mineral” type column. Column highlight colors indicate which empirical calibrations e actually used and reported in the thesis (green) and which were rejected (red) on the basis of newer, more accurate empirical calibrations from the literature. Calibrations and their citations included in column headings. >Sheet3 >> A “scratch” sheet reducing the information from “ProcessedDataOrganization” into 4 columns containing sampleID, mineralogy, and clumped isotope temperatures generated by two conflicting calibration relationships. >flatlist_manual_processing >> A “scratch” version of the more complete, finalized ProcessedDataOrganization sheet. > Sheet1 >> Metadata, describing which columns from the sheet ProcessedDataOrganization contain the indicated information. > Sheet2 >> Another “scratch” sheet, reducing the information from “ProcessedDataOrganization” into several columns, describing the calculation of d18O fluid from clumped isotope temperatures in K and measured/projected d18O_mineral. > ManualProcessing_and_Comparison >> A “scratch” sheet comparing flatlist data processing output to “manual” data processing performed in previous Excel sheets. > ManualProcessing2 >> A “scratch” sheet, containing the same information as ProcessedDataOrganization but with differently ordered columns. >FormattingScratchSheet >> A “scratch” sheet in which information from ProcessedDataOrganization was converted to a format exportable as csv or txt, for use in other data visualization and operations tools. NOT consistent with final used datasheets, due to differing ordering of rows. > For_d18O_plotting >> Like “FormattingScratchSheet,” a “scratch” sheet for ease of exporting information from ProcessedDataOrganization as csv or txt.
PAS_and_CRS_RawData_CeciliaSanders > An Excel file containing a single sheet, summarizing results of IRMS measurements of phosphate-associated sulfate (PAS) and chromium-reducible sulfur (CRS). From left to right, each row contains a sample/standard identifier, the mass of each powdered analyzed sample/standard, the “number” of the signal peak associated with a given m/v, the calculated area of the indicated peaks, the “ampl” or signal intensity of the indicated peaks, and ultimately the d34S values calculated based on these peak intensities. For standards, the average of 2-3 replicate d34S measurements are compared to accepted/published d34S values (labeled “true values” column). For samples, d34S values are corrected for instrumental drift through a linear LSQ fit of the standards’ measured vs. true values. The column “First” describes the corrected d34S values for samples based on the standards measured immediately before, and the column “Second” describes the corrected d34S values for samples based on the standards measured immediately after. (“Third” and “Fourth” serve the same purpose, bracketing blocks of samples for the lower half of the data.) The values from “First” and “Second” or “Third” and “Fourth” are averaged in the final column “Average/Final”.}, year = {2022}, } @data{10.22002/D1.20252 title = {Basin Depth Model for the BASIN Project}, author = {Valeria Villa and Yida Li and Robert Clayton and Patricia Persaud}, doi = {10.22002/D1.20252}, abstract = {This dataset contains basin basement depth of the northern Los Angeles basins: San Gabriel Basin, Chino Basin, and San Bernardino Basin. The file contains three columns: longitude, latitude, and depth (meters).}, year = {2022}, } @data{10.22002/D1.20251 title = {Dataset: Photo Phenosizer, a rapid machine learning-based method to measure cell dimensions in fission yeast}, author = {Martin Vo}, doi = {10.22002/D1.20251}, abstract = {Descriptive and Summary Statistics}, year = {2022}, } @data{10.22002/D1.20249 title = {Superconductivity in Magic-Angle Graphene Multilayers}, author = {Zhang, Yiran}, doi = {10.22002/D1.20249}, abstract = {#Data for Magic Angle Graphene Multilayers
This dataset contains the experimental data and analysis from the following paper:
Yiran Zhang, Robert Polski, Cyprian Lewandowski, Alex Thomson, Yang Peng, Youngjoon Choi, Hyunjin Kim, Kenji Watanabe, Takashi Taniguchi, Jason Alicea, Felix von Oppen, Gil Refael, and Stevan Nadj-Perge, “Promotion of Superconductivity in Magic-Angle Graphene Multilayers”, see also ArXiv: 2112.09270
Excel and .txt sheets are processed experimental data for Fig.1 to Fig.4 in the main text and Fig S1 to Fig S13 in Supplementary Information. For main text data, please refer to Fig1.xlsx to Fig4.xlsx. Within each excel file, the spreadsheet name is the physical quantity of corresponding panel and the first row is the physical quantity and the unit. For Figures in Supplementary Information, please refer to folders named FigS1 to FigS13. Within each folder are excel or text file named the corresponding panel and its physical quantity with unit.
The raw data are included in the data folder, but it’s unprocessed and only there for completeness. If you want to see the main text data and supplementary materials in a more organized form and in a context that’s easier to understand, see the notebooks in the Jupyter Notebook folder. The analysis notebooks have been run sequentially to check that they work.
http://doi.org/10.22002/D1.20249}, year = {2022}, } @data{10.22002/D1.20248 title = {Shear Wave Velocities in the San Gabriel and San Bernardino Basins, California}, author = {Li, Yida and Valeria Villa and Robert Clayton and Patricia Persaud}, doi = {10.22002/D1.20248}, abstract = {This dataset contains the shear wave velocity model of northern Los Angeles basins, including San Gabriel, Chino, Raymond, and San Bernardino basin. The model domain is a rectangular box, with longitude between 116.90°W and 118.37°W, latitude between 33.90°N and 34.25°N. Details of the files see README file.}, year = {2022}, }