cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline)
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.02–8.05 (m, 1H), 7.95–8.00 (m, 2H), 7.85 (dd, J = 7.9 Hz, J = 0.6 Hz, 1H), 7.46 (ddd, J = 8.2 Hz, J = 7.2 Hz, J = 1.2 Hz, 1H), 7.29–7.34 (m, 1H), 6.69–6.73 (m, 2H), 3.40 (q, J = 7.2 Hz, 4H), 1.20 (t, J = 7.1 Hz, 6H). The spectrum contains ca. 10% impurities (signals from 6.65 to 7.15 ppm).
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline)
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3056, 2968, 2923, 2899, 2863, 1600, 1555, 1531, 1471, 1447, 1434, 1427, 1402, 1375, 1368, 1357, 1347, 1317, 1311, 1280, 1270, 1255, 1232, 1191, 1155, 1124, 1095, 1071, 1004, 961, 936, 920, 901, 860, 820, 810, 790, 763, 755, 732, 725, 687, 624, 609, 554, 537, 503, 435, 404 cm–1.
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n.1
title: 4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: This dataset contains experimental data from a sample (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline, InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) mass spectrometry (MS)
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline)
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 110 °C): 288/290 (100/40) [M+], 272/274 (11/5), 145 (14), 69 (15).
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n/chmo0000470.1
title: mass spectrometry (MS) (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline)
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: dataset for mass spectrometry (MS) HRMS (C15H13N2ClS): Calcd 288.0482, Found 288.0481.
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline)
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 7.96 (d, J = 2.0 Hz, 1H), 7.96–7.94 (m, 2H), 7.73 (d, J = 8.5 Hz, 1H), 7.25–7.29 (m, 1H), 6.76–6.74 (m, 2H), 3.06 (s, 6H).
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline)
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, CDCl3, ppm) δ = 170.6, 155.2, 152.3, 132.7, 131.9, 128.9 (2C), 124.5, 122.0, 121.9, 120.8, 111.6 (2C), 40.1 (2C).
DOI: 10.14272/jtjknvjlpwbsfh-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (4-(5-chloro-1,3-benzothiazol-2-yl)-N,N-dimethylaniline)
title: InChI=1S/C15H13ClN2S/c1-18(2)12-6-3-10(4-7-12)15-17-13-9-11(16)5-8-14(13)19-15/h3-9H,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 1604, 1582, 1555, 1545, 1532, 1470, 1446, 1425, 1408, 1371, 1315, 1297, 1267, 1229, 1184, 1172, 1140, 1063, 1004, 963, 943, 899, 861, 816, 799, 789, 753, 732, 695, 626, 582, 537, 513, 507, 486, 459, 430 cm–1.
DOI: 10.5281/zenodo.3583297
title: The Art of the Temple (panels and graphics)

description: The Art of the Temple (panels and graphics)
DOI: 10.5281/zenodo.3583298
title: The Art of the Temple (panels and graphics)

description: The Art of the Temple (panels and graphics)
DOI: 10.18112/openneuro.ds002365.v1.0.0
title: Yale_Single_Subject_Task_Rest30x
DOI: 10.5281/zenodo.3576250
title: Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States: Datasets

description: *********** Please view the README.txt file for detailed documentation of data. *********** <strong>Title:</strong> Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States: Datasets <strong>Version: </strong>1.0 <strong>Date of Release: </strong>2019/12/16 <strong>Identifier: </strong>10.5281/zenodo.3576251 <strong>Associated publication:</strong> Austermann, J., Chen, C.Y., Lau, H.C.P., Maloof, A.C., and Latychev, K. (2019) Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States. <em>Earth and Planetary Science Letters</em>. doi: 10.1016/j.epsl.2019.116006 <strong>Link to publication: </strong>https://doi.org/10.1016/j.epsl.2019.116006 <strong>Suggested citation: </strong>Please reference the associated publication above when using any datasets or materials described in the README file. <strong>Contact information:</strong> Jacky Austermann (jackya@ldeo.columbia.edu) and Christine Y. Chen (cychen.earth@gmail.com) -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This directory contains the following datasets: SHORELINE FEATURE ELEVATION DATA <strong>Bonneville_Provo_Sehoo_shoreline_feature_elev_Austermann2019_EPSL.xlsx</strong>: shoreline feature elevation measurements of the Bonneville, Provo, and Sehoo lake stages of Lake Bonneville and Lake Lahontan; original measurements were made by Adams et al. (1999), Chen and Maloof (2017), and Currey (1982) MODELED RECONSTRUCTIONS OF LAKE VOLUME AND PALEOTOPOGRAPHY <strong>LakeBonneville_NAICE_l20.ump02p25.lmp5VM5.mat:</strong> model output for Lake Bonneville, including reconstructions of lake volume and paleotopography <strong>LakeLahontan_NAICE_l20.ump02p25.lmp5VM5.mat</strong>: model output for Lake Lahontan, including reconstructions of lake volume and paleotopography
description: {"references": ["Adams, K.D., Wesnousky, S.G., Bills, B.G., 1999. Isostatic rebound, active faulting, and potential geomorphic effects in the Lake Lahontan basin, Nevada and California. Geol. Soc. Am. Bull. 111, 1739\u20131756.", "Chen, C.Y., Maloof, A.C., 2017. Revisiting the deformed high shoreline of Lake Bon-neville. Quat. Sci. Rev.159, 169\u2013189.", "Currey, D.R., 1982. Lake Bonneville: Selected Features of Relevance to Neotectonic Analysis. Open-File Report 82-1070. U.S. Geological Survey, 31 pages."]}
DOI: 10.5281/zenodo.3576251
title: Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States: Datasets

description: *********** Please view the README.txt file for detailed documentation of data. *********** <strong>Title:</strong> Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States: Datasets <strong>Version: </strong>1.0 <strong>Date of Release: </strong>2019/12/16 <strong>Identifier: </strong>10.5281/zenodo.3576251 <strong>Associated publication:</strong> Austermann, J., Chen, C.Y., Lau, H.C.P., Maloof, A.C., and Latychev, K. (2019) Constraints on mantle viscosity and Laurentide ice sheet evolution from pluvial paleolake shorelines in the western United States. <em>Earth and Planetary Science Letters</em>. doi: 10.1016/j.epsl.2019.116006 <strong>Link to publication: </strong>https://doi.org/10.1016/j.epsl.2019.116006 <strong>Suggested citation: </strong>Please reference the associated publication above when using any datasets or materials described in the README file. <strong>Contact information:</strong> Jacky Austermann (jackya@ldeo.columbia.edu) and Christine Y. Chen (cychen.earth@gmail.com) -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This directory contains the following datasets: SHORELINE FEATURE ELEVATION DATA <strong>Bonneville_Provo_Sehoo_shoreline_feature_elev_Austermann2019_EPSL.xlsx</strong>: shoreline feature elevation measurements of the Bonneville, Provo, and Sehoo lake stages of Lake Bonneville and Lake Lahontan; original measurements were made by Adams et al. (1999), Chen and Maloof (2017), and Currey (1982) MODELED RECONSTRUCTIONS OF LAKE VOLUME AND PALEOTOPOGRAPHY <strong>LakeBonneville_NAICE_l20.ump02p25.lmp5VM5.mat:</strong> model output for Lake Bonneville, including reconstructions of lake volume and paleotopography <strong>LakeLahontan_NAICE_l20.ump02p25.lmp5VM5.mat</strong>: model output for Lake Lahontan, including reconstructions of lake volume and paleotopography
description: {"references": ["Adams, K.D., Wesnousky, S.G., Bills, B.G., 1999. Isostatic rebound, active faulting, and potential geomorphic effects in the Lake Lahontan basin, Nevada and California. Geol. Soc. Am. Bull. 111, 1739\u20131756.", "Chen, C.Y., Maloof, A.C., 2017. Revisiting the deformed high shoreline of Lake Bon-neville. Quat. Sci. Rev.159, 169\u2013189.", "Currey, D.R., 1982. Lake Bonneville: Selected Features of Relevance to Neotectonic Analysis. Open-File Report 82-1070. U.S. Geological Survey, 31 pages."]}
DOI: 10.25345/c5v96n
title: MassIVE MSV000084722 - Cerebral organoids model neocortical development disrupted by 16p11.2 CNV in autism
title: The 16p11.2 is the most common copy number variant (CNV) associated with Autism Spectrum Disorder (ASD). We used patient-derived cerebral organoids to investigate neurodevelopmental pathways dysregulated by dosage changes of 16p11.2 CNV. To investigate molecular dysregulation in DEL and DUP organoids, we carried out RNA sequencing and Tandem Mass Tag mass spectrometry (TMT-MS) on 1-month and 3-month organoids from the same samples. In proteomic analyses, we quantified a total of 6126 proteins in 1-month and 5481 proteins in 3-month organoids, with 13 and 11 proteins from within 16p11.2 CNV, respectively. Transcriptomic and proteomic profiling of organoids implicates neuronal migration and synaptic defects as key drivers of 16p11.2 functional effect. This study identifies pathways dysregulated by the 16p11.2 CNV during early neocortical development using cerebral organoid model.
DOI: 10.5281/zenodo.3583303
title: The Art of the Temple (raw text in WORD formats)

description: The Art of the Temple (raw text in WORD formats)
DOI: 10.5281/zenodo.3583304
title: The Art of the Temple (raw text in WORD formats)

description: The Art of the Temple (raw text in WORD formats)
DOI: 10.5281/zenodo.3583286
title: The Art of the Temple (Illustrations, selection of)

description: The Art of the Temple (Illustrations, selection of)
DOI: 10.5281/zenodo.3583201
title: The Buddha: materials and proposals for an exhibition.

description: The Buddha: materials and proposals for an exhibition.
DOI: 10.5281/zenodo.3583202
title: The Buddha: materials and proposals for an exhibition.

description: The Buddha: materials and proposals for an exhibition.
DOI: 10.5281/zenodo.3583285
title: The Art of the Temple (Illustrations, selection of)

description: The Art of the Temple (Illustrations, selection of)
DOI: 10.5281/zenodo.3583421
title: Nonlinear scattering of 90-degree pitch angle electrons in the outer radiation belt by large-amplitude EMIC waves

description: This file is a collection of numeric data files which were used to create all figures in the paper (under review as of December 19, 2019). All the data were obtained from numerically solving the Lorentz equation of motion for 5 MeV electrons under EMIC waves superposed onto a dipolar background magnetic field.
DOI: 10.5281/zenodo.3583422
title: Nonlinear scattering of 90-degree pitch angle electrons in the outer radiation belt by large-amplitude EMIC waves

description: This file is a collection of numeric data files which were used to create all figures in the paper (under review as of December 19, 2019). All the data were obtained from numerically solving the Lorentz equation of motion for 5 MeV electrons under EMIC waves superposed onto a dipolar background magnetic field.
DOI: 10.17632/3c7mmhfyky.1
title: Data for: Asking authors of RCTs to confirm accuracy and supplement missing data for the purposes of meta-analysis yields a very low task completion rate: Another call for data sharing

description: This is a SPSS file with the data we collected from the authors of 116 RCTs. There is detailed documentation in the 'Variables View' sheet
DOI: 10.17632/ffhvzrr3jd.1
title: Data for: Late Ordovician obliquity-forced glacio-eustasy recorded in the Yangtze Block, South China

description: The raw data of magnetic susceptibility (MS) and anhysteretic remnant magnetization (ARM) in depth domain. The detailed result data: 1) interpolation and detrending of the whole log-transformed ARM series in depth domain; 2) cyclostratigraphic analysis on the log-transformed ARM series of Subsets 1, 2, and 3 in depth domain, including interpolation, detrending, 2π MTM spectrum, and filtering; 3) 405-kyr and 33.8-kyr astronomical calibrations of the whole log-ARM series, including the agemodels used for calibrations, as well as interpolation, detrending, 2π MTM spectrum, and filtering in time domain; 4) the long-period amplitude modulation analysis on the 33.83-kyr-calibrated log-ARM series, including the e/T and O/T series and their amplitude spectra, as well as the g4-g3, s4-s3, and s3-s6 filter outputs.
DOI: 10.5281/zenodo.3583206
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 1)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 1)
DOI: 10.5281/zenodo.3583207
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 1)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 1)
DOI: 10.17632/ffhvzrr3jd.2
title: Data for: Late Ordovician obliquity-forced glacio-eustasy recorded in the Yangtze Block, South China

description: The raw data of magnetic susceptibility (MS) and anhysteretic remnant magnetization (ARM) in depth domain. The detailed result data: 1) interpolation and detrending of the whole log-transformed ARM series in depth domain; 2) cyclostratigraphic analysis on the log-transformed ARM series of Subsets 1, 2, and 3 in depth domain, including interpolation, detrending, 2π MTM spectrum, and filtering; 3) 405-kyr and 33.8-kyr astronomical calibrations of the whole log-ARM series, including the agemodels used for calibrations, as well as interpolation, detrending, 2π MTM spectrum, and filtering in time domain; 4) the long-period amplitude modulation analysis on the 33.83-kyr-calibrated log-ARM series, including the e/T and O/T series and their amplitude spectra, as well as the g4-g3, s4-s3, and s3-s6 filter outputs.
DOI: 10.18112/openneuro.ds002370.v1.0.0
title: my-dataset
DOI: 10.5066/p9fd12y5
title: Sedimentation survey data for Lago Guayabal, December 2017

description: This data release contains spatial data associated with the sedimentation survey of Lago Guayabal conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center (CFWSC) of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field data collection involved measuring water depth along predetermined navigation lines. More than 270,000 water-depth points were surveyed along 60 navigation lines and All water-depth data were collected using a Teledyne-Odom Echotrac CVM depth sounder coupled to a Global Positioning System (GPS). Esri ArcGIS software, version 10.5 (Environmental Systems Research Institute, 2017), was used to edit the depth data and create a triangulated irregular network (TIN) model, from which bathymetric contours and a stage-volume relation were generated. This data release includes three spatial features used for the sedimentation analysis of Lago Guayabal in 2017 (water depth data points, reservoir shoreline and bathymetric contours).
DOI: 10.5281/zenodo.3583208
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 2)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 2)
DOI: 10.5281/zenodo.3583209
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 2)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 2)
DOI: 10.18112/openneuro.ds002366.v1.0.0
title: Emotion regulation in the Ageing Brain, University of Reading, BBSRC
DOI: 10.5281/zenodo.3583215
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 3)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 3)
DOI: 10.5281/zenodo.3583216
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 3)

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 3)
DOI: 10.25551/1/1-1jp6
title: Figure 5: Synapse formation occurs preferentially in the ventrolateral half of the dorsal pallium in learner, but not nonlearner, fish.
DOI: 10.25551/1/1-1jpp
title: Extended Data Figure 7: Spines sampled within a 14-16 dpf zebrafish brain tend to move less than 4 µm in five hours.
DOI: 10.25551/1/1-1jny
title: Figure 1: Tail flick conditioning (TFC), a robust classical conditioning paradigm for larval zebrafish.
DOI: 10.25551/1/1-1jpa
title: Extended Data Figure 1: Experimental setup and analysis of tail-flick conditioning (TFC), a behavioral paradigm that stimulates associative memory formation in zebrafish larvae.
DOI: 10.25551/1/1-1jpg
title: Extended Data Figure 4: PSD-95.FingR expression does not alter the learning ability of 14-16 dpf zebrafish larvae.
DOI: 10.25551/1/1-1jpm
title: Extended Data Figure 6: Changes in synapse number for zebrafish exposed to control behavioral paradigms after TFC are not significant.
DOI: 10.25551/1/1-1jpt
title: Extended Data Figure 9: Distributions of lost and gained synapses in the pallium following TFC.
DOI: 10.25551/1/1-1jp8
title: Figure 6: Cells in the anterolateral pallium project dendrites within the region of synapse gain.
DOI: 10.3886/e116768v1
title: PYSA

description: This randomized control trial examines the efficacy of an animal-assisted stress reduction program conducted at a college campus in the week leading up to final exams examining effects of a 10-minute session of canine and feline petting on students’ momentary emotion, perceptions of stress and momentary cortisol levels.<br>
DOI: 10.25551/1/1-1jpw
title: Extended Data Figure 10: Intensity of synaptic labeling does not change with TFC.
DOI: 10.3886/e116768
title: PYSA

description: This randomized control trial examines the efficacy of an animal-assisted stress reduction program conducted at a college campus in the week leading up to final exams examining effects of a 10-minute session of canine and feline petting on students’ momentary emotion, perceptions of stress and momentary cortisol levels.<br>
DOI: 10.5066/p91pllgv
title: Bathymetric and supporting data for Beaver Lake near Rogers, Arkansas, 2018

description: Beaver Lake was constructed in 1966 on the White River in the northwest corner of Arkansas for flood control, hydroelectric power, public water supply, and recreation. The surface area of Beaver Lake is about 27,900 acres and approximately 449 miles of shoreline are at the conservation pool level (1,120 feet above the North American Vertical Datum of 1988). Sedimentation in reservoirs can result in reduced water storage capacity and a reduction in usable aquatic habitat. Therefore, accurate and up-to-date estimates of reservoir water capacity are important for managing pool levels, power generation, water supply, recreation, and downstream aquatic habitat. Many of the lakes operated by the U.S. Army Corps of Engineers are periodically surveyed to monitor bathymetric changes that affect water capacity. In October 2018, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, completed one such survey of Beaver Lake using a multibeam echosounder. The echosounder data was combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table. Collection of bathymetric data in October 2018 at Beaver Lake near Rogers, Arkansas, used a marine-based mobile mapping unit that operates with several components: a multibeam echosounder (MBES) unit, an inertial navigation system (INS), and a data acquisition computer. Bathymetric data were collected using the MBES unit in longitudinal transects to provide complete coverage of the lake. The MBES was tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than 2.5 meters deep (the practical limit of reasonable and safe data collection with the MBES). Two bathymetric datasets collected during the October 2018 survey include the gridded bathymetric point data (BeaverLake2018_bathy.zip) computed on a 3.28-foot (1-meter) grid using the Combined Uncertainty and Bathymetry Estimator (CUBE) method, and the bathymetric quality-assurance dataset (BeaverLake2018_QA.zip). The gridded point data used to create the bathymetric surface (BeaverLake2018_bathy.zip) was quality-assured with data from 9 selected resurvey areas (BeaverLake2018_QA.zip) to test the accuracy of the gridded bathymetric point data. The data are provided as comma delimited text files that have been compressed into zip archives. The shoreline was created from bare-earth lidar resampled to a 3.28-foot (1-meter) grid spacing. A contour line representing the flood pool elevation of 1,135 feet was generated from the gridded data. The data are provided in the Environmental Systems Research Institute shapefile format and have the common root name of BeaverLake2018_1135-ft. All files in the shapefile group must be retrieved to be useable.
DOI: 10.5281/zenodo.3583390
title: Figure data for "Detection of tar brown carbon with the single particle soot photometer (SP2)"

description: Data contained in Figures 2 and 4 of Corbin and Gysel-Beer 2019. https://doi.org/10.5194/acp-2019-568
DOI: 10.5281/zenodo.3583391
title: Figure data for "Detection of tar brown carbon with the single particle soot photometer (SP2)"

description: Data contained in Figures 2 and 4 of Corbin and Gysel-Beer 2019. https://doi.org/10.5194/acp-2019-568
DOI: 10.25551/1/1-1jpe
title: Extended Data Figure 3: PSD-95.FingR-GFP localizes to synapses in living zebrafish larvae.
DOI: 10.25551/1/1-1jp4
title: Figure 4: Rapid synapse turnover in larval zebrafish.
DOI: 10.5281/zenodo.3583341
title: Supporting Information for "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges"

description: Summary plots and parameter tables for each of the 51 shocks analyzed in the statistical study "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges."
DOI: 10.5281/zenodo.3583342
title: Supporting Information for "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges"

description: Summary plots and parameter tables for each of the 51 shocks analyzed in the statistical study "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges."