cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5523/bris.29m9fsunvwit22rgn4xykjcg3r
title: STAR Trial Qualitative WP4

description: Study Information STAR Trial Qualitative WP4 Study Title: STAR Trial Qualitative WP4 Study Team: Andrew Moore, Rachael Gooberman-Hill REC reference: 16/SW/0154 Funding: RP-PG-0613-20001 Brief Summary: The aim of this study was to explore the patient experience of the STAR care pathway and their journey of recovery from total knee replacement over 12 months with a focus on the acceptability of the pathway and its impact on the management of postsurgical pain after total knee replacement. Telephone interviews were conducted with 29 trial participants after they had been recruited into the STAR trial. One-to-one semi-structured interviews were conducted with patients randomised to the STAR care pathway between February 2018 and January 2020. A purposive sample of 27 participants selected from the intervention group were interviewed after participants had completed the final trial follow-up at 12-months after randomisation. All follow-up interviews were face-to-face. The final sample included 10 men and 17 women, aged 55 to 84 years (mean 71 years).
DOI: 10.5281/zenodo.4890792
title: Population-scale detection of non-reference sequence variants using colored de Bruijn Graphs [Test data]

description: Auxiliary data for the <em><strong>PopIns2</strong></em> short-read structural variant caller. The repository contains a minimal working example (MWE) comprising BAM files of three simulated samples and a modified version of chromosome 21 of the human reference genome (GRCh38) that has to be used as reference for the PopIns2 workflow. The MWE can be processed using the instructions at the PopIns2 README page.
DOI: 10.5281/zenodo.4630214
title: Parameter Estimates for "Investigation of fiber-driven mechanical behavior of human and porcine bladder tissue tested under identical conditions"

description: Model M2 parameter estimates described in "Investigation of fiber-driven mechanical behavior of human and porcine bladder tissue tested under identical conditions" for all groups (i.e., species, treatment, direction)
DOI: 10.5281/zenodo.4630213
title: Parameter Estimates for "Investigation of fiber-driven mechanical behavior of human and porcine bladder tissue tested under identical conditions"

description: Model M2 parameter estimates described in "Investigation of fiber-driven mechanical behavior of human and porcine bladder tissue tested under identical conditions" for all groups (i.e., species, treatment, direction)
DOI: 10.6084/m9.figshare.14710917
title: Figshare serology data_Vaccines_6-1-2021.xlsx

description: Complete data represented in all figures in Hedges, J.F. et al. Vaccines June 2021
DOI: 10.6084/m9.figshare.14710917.v1
title: Figshare serology data_Vaccines_6-1-2021.xlsx

description: Complete data represented in all figures in Hedges, J.F. et al. Vaccines June 2021
DOI: 10.5517/ccdc.csd.cc24xdl2
title: CCDC 1993504: Experimental Crystal Structure Determination

description: Related Article: Fumet Duygu Ustundag, Elif Gungor, Hulya Kara Subasat|2021|CSD Communication|||
DOI: 10.5522/04/12613205
title: Ecological thresholds of forest cover in tropical forests

description: This data and metadata was collected through a systematic literature review. The data includes ecological thresholds of forest cover identified by authors in peer-reviewer publications, represented as a percentage forest cover after which a non-linear decline is measured in a biodiversity metric. Data includes the geographic region and location in which the ecological thresholds was measured, landscape characteristics, the species and biodiversity metrics used to identify the thresholds, and other study site and methodological information. This data is associated to a Review article published in <i>Biotropica</i>, Shennan-Farpón et al. (2021).
DOI: 10.5522/04/12613205.v1
title: Ecological thresholds of forest cover in tropical forests

description: This data and metadata was collected through a systematic literature review. The data includes ecological thresholds of forest cover identified by authors in peer-reviewer publications, represented as a percentage forest cover after which a non-linear decline is measured in a biodiversity metric. Data includes the geographic region and location in which the ecological thresholds was measured, landscape characteristics, the species and biodiversity metrics used to identify the thresholds, and other study site and methodological information. This data is associated to a Review article published in <i>Biotropica</i>, Shennan-Farpón et al. (2021).
DOI: 10.5067/aura/mls/data2513
title: MLS/Aura Level 2 Hypochlorous Acid (HOCl) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2514
title: MLS/Aura Level 2 Cloud Ice Product V005
DOI: 10.5067/aura/mls/data2517
title: MLS/Aura Level 2 Hydroxyl (OH) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2518
title: MLS/Aura Level 2 Relative Humidity With Respect to Ice V005
DOI: 10.5067/aura/mls/data2521
title: MLS/Aura Level 2 Diagnostics, Geophysical Parameter Grid V005
DOI: 10.5067/aura/mls/data2522
title: MLS/Aura Level 2 Diagnostics, Miscellaneous Grid V005
DOI: 10.5067/aura/mls/data1503
title: MLS/Aura L1 Radiances from Filter Banks for GHz V005
DOI: 10.5067/aura/mls/data1501
title: MLS/Aura L1 Orbit/Attitude and Tangent Point Geolocation Data V005
DOI: 10.5067/aura/mls/data1504
title: MLS/Aura L1 Radiances from Filter Banks for THz V005
DOI: 10.5067/aura/mls/data2501
title: MLS/Aura Level 2 Bromine Monoxide (BrO) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2502
title: MLS/Aura Level 2 Methyl Chloride (CH3Cl) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2503
title: MLS/Aura Level 2 Methyl Cyanide (CH3CN) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2504
title: MLS/Aura Level 2 Methanol (CH3OH) Mixing Ratio V005
DOI: 10.5067/aura/mls/data2510
title: MLS/Aura Level 2 Hydrogen Cyanide (HCN) Mixing Ratio V005
DOI: 10.5281/zenodo.4890872
title: Raman data of quartz inclusions in garnet from the Tianshan HP metamorphic belt, China

description: Raman data of quartz inclusions in garnet from a blueschist metavolcaniclastic rock from the Chinese Tianshan high-pressure metamorphic belt, southwestern Tianshan. The studied sample is a garnet-glaucophane-albite schist and is characterized by idioblastic garnet. Raman spectra were obtained on quartz inclusions in garnet. Measurements were performed with a Horiba ISA Dilor Labram confocal Raman spectrometer using the 532nm line of a Nd:YAG Laser at the Freie Universität Berlin. To avoid thermal changes, the energy on the sample surface was reduced to 2–3mW, by introducing a neutral density (ND) filter. The resulting spectral resolution between 1100 and 1800cm<sup>-1</sup> was around 4.5cm<sup>-1</sup>. Using the 100x objective of an Olympus BX40 microscope and a confocal hole of 400µm, the spatial resolution of each measurement was around 1µm. The duration for data acquisition for each spot was 5–45 s. A gem-quality single quartz crystal was taken as a standard for stress free conditions and measured approximately every 2 hours. Further details and discussion can be found in Schwarzenbach, Xin et al. (under review), On exhumation velocities of high-pressure units based on insights from chemical zoning in garnet (Tianshan, NW China), submitted to Earth and Planetary Science Letters.
description: {"references": ["Schwarzenbach, Xin, Caddick et al. (under review, 2021), On exhumation velocities of high-pressure units based on insights from chemical zoning in garnet (Tianshan, NW China), Earth and Planetary Science Letters"]}
DOI: 10.5281/zenodo.4890871
title: Raman data of quartz inclusions in garnet from the Tianshan HP metamorphic belt, China

description: Raman data of quartz inclusions in garnet from a blueschist metavolcaniclastic rock from the Chinese Tianshan high-pressure metamorphic belt, southwestern Tianshan. The studied sample is a garnet-glaucophane-albite schist and is characterized by idioblastic garnet. Raman spectra were obtained on quartz inclusions in garnet. Measurements were performed with a Horiba ISA Dilor Labram confocal Raman spectrometer using the 532nm line of a Nd:YAG Laser at the Freie Universität Berlin. To avoid thermal changes, the energy on the sample surface was reduced to 2–3mW, by introducing a neutral density (ND) filter. The resulting spectral resolution between 1100 and 1800cm<sup>-1</sup> was around 4.5cm<sup>-1</sup>. Using the 100x objective of an Olympus BX40 microscope and a confocal hole of 400µm, the spatial resolution of each measurement was around 1µm. The duration for data acquisition for each spot was 5–45 s. A gem-quality single quartz crystal was taken as a standard for stress free conditions and measured approximately every 2 hours. Further details and discussion can be found in Schwarzenbach, Xin et al. (under review), On exhumation velocities of high-pressure units based on insights from chemical zoning in garnet (Tianshan, NW China), submitted to Earth and Planetary Science Letters.
description: {"references": ["Schwarzenbach, Xin, Caddick et al. (under review, 2021), On exhumation velocities of high-pressure units based on insights from chemical zoning in garnet (Tianshan, NW China), Earth and Planetary Science Letters"]}
DOI: 10.14272/wcxzzjfdrdqahj-wxtapiansa-n.1
title: C27H33F4N3O
title: InChI=1S/C27H33F4N3O/c1-17-9-10-23(35-14-13-32-12-6-11-28)19(3)24(17)26-25-21(20-7-4-5-8-22(20)33-25)15-18(2)34(26)16-27(29,30)31/h4-5,7-10,18,26,32-33H,6,11-16H2,1-3H3/t18-,26-/m1/s1

description: This dataset contains experimental data from a sample (N-[2-[2,4-dimethyl-3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]-3-fluoropropan-1-amine, InChI=1S/C27H33F4N3O/c1-17-9-10-23(35-14-13-32-12-6-11-28)19(3)24(17)26-25-21(20-7-4-5-8-22(20)33-25)15-18(2)34(26)16-27(29,30)31/h4-5,7-10,18,26,32-33H,6,11-16H2,1-3H3/t18-,26-/m1/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/wcxzzjfdrdqahj-wxtapiansa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (N-[2-[2,4-dimethyl-3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]-3-fluoropropan-1-amine)
title: InChI=1S/C27H33F4N3O/c1-17-9-10-23(35-14-13-32-12-6-11-28)19(3)24(17)26-25-21(20-7-4-5-8-22(20)33-25)15-18(2)34(26)16-27(29,30)31/h4-5,7-10,18,26,32-33H,6,11-16H2,1-3H3/t18-,26-/m1/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, DMSO-d6, ppm) δ = 10.18 (s, 0.5H, isomer1), 10.14 (s, 0.5H, isomer2), 7.39 (d, J = 7.6 Hz, 1H, isomer1+isomer2), 7.18 (t, J = 7.2 Hz, 1H, isomer1+isomer2), 7.09 (d, J = 8.5 Hz, 0.5H, isomer2), 6.99–6.95 (m, 1H, isomer1+isomer2), 6.95–6.90 (m, 1H, isomer1+isomer2), 6.88 (d, J = 8.4 Hz, 0.5H, isomer2), 6.84 (s, 1H, isomer1), 5.38 (s, 0.5H, isomer1), 5.29 (s, 0.5H, isomer2), 4.54 (dt, J = 47.5, 6.0 Hz, 1H, isomer1), 4.44 (dt, J = 47.5, 6.0 Hz, 1H, isomer2), 4.07–3.95 (m, 1H, isomer1), 3.95–3.85 (m, 1H, isomer2), 3.67–3.56 (m, 1H, isomer1+isomer2), 3.39 (s, 1H, isomer1+isomer2), 3.33 (s, 1H, isomer1+isomer2), 3.14–3.04 (m, 1H, isomer1+isomer2), 2.94 (br t, J = 5.4 Hz, 1H, isomer1), 2.80 (br t, J = 5.6 Hz, 1H, isomer2), 2.77 (br d, J = 4.5 Hz, 1H, isomer1+isomer2), 2.72 (t, J = 7.0 Hz, 1H, isomer1), 2.69 (br d, J = 15.0 Hz, 1H, isomer1+isomer2), 2.60 (t, J = 6.9 Hz, 1H, isomer1+isomer2), 2.44 (s, 1.5H, isomer2), 2.39 (s, 1.5H, isomer2), 1.83 (br dquin, J = 26.2, 6.6 Hz, 1H, isomer1), 1.82 (s, 1.5H, isomer2), 1.80 (s, 1.5H, isomer1), 1.72 (dquin, J = 26.2, 6.4 Hz, 1H, isomer2), 1.14 (d, J = 6.5 Hz, 3H, isomer1+isomer2)
DOI: 10.14272/grtreomlnxyrck-cricubbosa-n.1
title: C26H31F4N3O
title: InChI=1S/C26H31F4N3O/c1-17-15-21-20-7-3-4-9-22(20)32-24(21)25(33(17)16-26(28,29)30)19-8-5-10-23(18(19)2)34-14-13-31-12-6-11-27/h3-5,7-10,17,25,31-32H,6,11-16H2,1-2H3/t17-,25-/m1/s1

description: This dataset contains experimental data from a sample (3-fluoro-N-[2-[2-methyl-3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]propan-1-amine, InChI=1S/C26H31F4N3O/c1-17-15-21-20-7-3-4-9-22(20)32-24(21)25(33(17)16-26(28,29)30)19-8-5-10-23(18(19)2)34-14-13-31-12-6-11-27/h3-5,7-10,17,25,31-32H,6,11-16H2,1-2H3/t17-,25-/m1/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/grtreomlnxyrck-cricubbosa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (3-fluoro-N-[2-[2-methyl-3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]propan-1-amine)
title: InChI=1S/C26H31F4N3O/c1-17-15-21-20-7-3-4-9-22(20)32-24(21)25(33(17)16-26(28,29)30)19-8-5-10-23(18(19)2)34-14-13-31-12-6-11-27/h3-5,7-10,17,25,31-32H,6,11-16H2,1-2H3/t17-,25-/m1/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, DMSO-d6, ppm) δ = 1.06 (d, J = 6.7 Hz, 3H), 1.74–1.85 (m, 1H), 2.28 (s, 3H), 2.51–2.53 (m, 1H), 2.62 (dd, J = 16.0, 7.7 Hz, 1H), 2.69 (t, J = 6.9 Hz, 2H), 2.78 (dd, J = 16.0, 4.5 Hz, 1H), 2.90 (t, J = 5.7 Hz, 2H), 2.99 (dq, J = 16.0, 10.0 Hz, 1H), 3.31–3.33 (m, 1H), 3.33–3.37 (m, 1H), 3.46 (dq, J = 16.0, 10.6 Hz, 1H), 4.00 (t, J = 5.6 Hz, 2H), 4.51 (dt, J = 47.5, 6.1 Hz, 2H), 5.14 (s, 1H), 6.28 (br d, J = 8.2 Hz, 1H), 6.89 (d, J = 7.9 Hz, 1H), 6.97 (td, J = 8.0, 1.2 Hz, 1H), 6.99 (t, J = 8.2 Hz, 1H), 7.03 (td, J = 7.9, 1.2 Hz, 1H), 7.23 (d, J = 8.0 Hz, 1H), 7.44 (d, J = 7.7 Hz, 1H), 10.54 (s, 1H).
DOI: 10.14272/uztvfijydqirsv-mznjeogpsa-n.1
title: C25H29F4N3O
title: InChI=1S/C25H29F4N3O/c1-17-14-21-20-8-2-3-9-22(20)31-23(21)24(32(17)16-25(27,28)29)18-6-4-7-19(15-18)33-13-12-30-11-5-10-26/h2-4,6-9,15,17,24,30-31H,5,10-14,16H2,1H3/t17-,24-/m1/s1

description: This dataset contains experimental data from a sample (3-fluoro-N-[2-[3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]propan-1-amine, InChI=1S/C25H29F4N3O/c1-17-14-21-20-8-2-3-9-22(20)31-23(21)24(32(17)16-25(27,28)29)18-6-4-7-19(15-18)33-13-12-30-11-5-10-26/h2-4,6-9,15,17,24,30-31H,5,10-14,16H2,1H3/t17-,24-/m1/s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/uztvfijydqirsv-mznjeogpsa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (3-fluoro-N-[2-[3-[(1R,3R)-3-methyl-2-(2,2,2-trifluoroethyl)-1,3,4,9-tetrahydropyrido[3,4-b]indol-1-yl]phenoxy]ethyl]propan-1-amine)
title: InChI=1S/C25H29F4N3O/c1-17-14-21-20-8-2-3-9-22(20)31-23(21)24(32(17)16-25(27,28)29)18-6-4-7-19(15-18)33-13-12-30-11-5-10-26/h2-4,6-9,15,17,24,30-31H,5,10-14,16H2,1H3/t17-,24-/m1/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (600 MHz, DMSO-d6, ppm) δ = 1.11 (d, J = 6.8 Hz, 3H), 1.76 (dquin, J = 26.1, 6.6 Hz, 2H), 2.62 (t, J = 6.6 Hz, 2H), 2.57 (dd, J = 15.8, 11.0 Hz, 1H), 2.64 (dd, J = 15.8, 5.0 Hz, 1H), 2.83 (t, J = 5.7 Hz, 2H), 3.01 (qd, J = 18.0, 9.3 Hz, 1H), 3.12 (dqd, J = 11.0, 6.8, 5.0 Hz, 1H), 3.35 (br s, 1H), 3.57 (qd, J = 13.0, 9.3 Hz, 1H), 3.95 (t, J = 5.6 Hz, 2H), 4.48 (dt, J = 47.5, 6.6 Hz, 2H), 4.98 (s, 1H), 6.75 (br d, J = 2.3 Hz, 1H), 6.84 (d, J = 7.8 Hz, 1H), 6.86 (dd, J = 8.2, 2.4 Hz, 1H), 7.00 (dd, J = 7.8, 7.5 Hz, 1H), 7.08 (dd, J = 8.0, 7.5 Hz, 1H), 7.26 (t, J = 7.8 Hz, 1H), 7.31 (d, J = 8.0 Hz, 1H), 7.45 (d, J = 7.8 Hz, 1H), 10.86 (s, 1H).
DOI: 10.5281/zenodo.4720013
title: Data set for "Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response"

description: Data set for: Esmaeili V, Tamura K, Muscinelli SP, Modirshanechi A, Boscaglia M, Lee AB, Oryshchuk A, Foustoukos G, Liu Y, Crochet S, Gerstner W, Petersen CCH (2021) Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response. Neuron 109, doi 10.1016/j.neuron.2021.05.005 There are 2 files in this upload: 1. The file named "2021_Esmaeili_Tamura_Neuron.pdf" is the Open Access pdf of the online publication in Neuron. 2. The file named "Esmaeili_data_code.zip" (~55 GB) is a zipped version of a folder "Esmaeili_data_code" (~63 GB), which contains the data analysed in the study along with the Matlab codes used to generate the published figures. To access the data and codes, first unzip the file. The subfolder “Electrophysiology” contains main codes, data and subfunctions to produce figure panels related to silicon probe recordings. The subfolder “Imaging” contains main codes, data and subfunctions to produce figure panels related to wide-field calcium imaging. Each of these subfolders contains a README.txt file with detailed descriptions of files and required toolboxes to run the codes. When running the code, you need to set the Matlab file path to be "Esmaeili_data_code". In addition, you should add the folder "Esmaeili_data_code" with subfolders to the Matlab path. Some parts of the code rely upon previous results, and need to be executed sequentially in the order of the figure panels in the journal publication.
description: {"references": ["Esmaeili V, Tamura K, Muscinelli SP, Modirshanechi A, Boscaglia M, Lee AB, Oryshchuk A, Foustoukos G, Liu Y, Crochet S, Gerstner W, Petersen CCH (2021) Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response. Neuron 109, doi 10.1016/j.neuron.2021.05.005"]}
DOI: 10.5281/zenodo.4720012
title: Data set for "Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response"

description: Data set for: Esmaeili V, Tamura K, Muscinelli SP, Modirshanechi A, Boscaglia M, Lee AB, Oryshchuk A, Foustoukos G, Liu Y, Crochet S, Gerstner W, Petersen CCH (2021) Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response. Neuron 109, doi 10.1016/j.neuron.2021.05.005 There are 2 files in this upload: 1. The file named "2021_Esmaeili_Tamura_Neuron.pdf" is the Open Access pdf of the online publication in Neuron. 2. The file named "Esmaeili_data_code.zip" (~55 GB) is a zipped version of a folder "Esmaeili_data_code" (~63 GB), which contains the data analysed in the study along with the Matlab codes used to generate the published figures. To access the data and codes, first unzip the file. The subfolder “Electrophysiology” contains main codes, data and subfunctions to produce figure panels related to silicon probe recordings. The subfolder “Imaging” contains main codes, data and subfunctions to produce figure panels related to wide-field calcium imaging. Each of these subfolders contains a README.txt file with detailed descriptions of files and required toolboxes to run the codes. When running the code, you need to set the Matlab file path to be "Esmaeili_data_code". In addition, you should add the folder "Esmaeili_data_code" with subfolders to the Matlab path. Some parts of the code rely upon previous results, and need to be executed sequentially in the order of the figure panels in the journal publication.
description: {"references": ["Esmaeili V, Tamura K, Muscinelli SP, Modirshanechi A, Boscaglia M, Lee AB, Oryshchuk A, Foustoukos G, Liu Y, Crochet S, Gerstner W, Petersen CCH (2021) Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response. Neuron 109, doi 10.1016/j.neuron.2021.05.005"]}
DOI: 10.5281/zenodo.4890862
title: Test upload

description: This is a test upload.
DOI: 10.5281/zenodo.4890861
title: Test upload

description: This is a test upload.
DOI: 10.5255/ukda-sn-854903
title: Asylum Welfare and Work in the UK, 2015-2017

description: This project entailed a programme of research which sought to examine three aspects of this policy approach. First, the political and policy rationale of the policy, explored through a discourse analysis of political speeches, reports, parliamentary documents and debate transcripts, media and press releases. A corpus of 449 texts was gathered covering the period 2002-2016. Then 21 interviews with politicians and policy makers were undertaken. Second, an exploration of the economic rationale for the policy -how much does it cost to the public purse, what would alternative policy scenarios cost, and how much are third sector organisations spending on people who are supposed to be adequately supported by the state. Data for the costing for third sector spend was assembled from the Charity Commission database. Third, 30 interviews with people who have been through the asylum system, undertaken by refugee community researchers, explored everyday life on asylum support.
DOI: 10.18112/openneuro.ds003643.v1.0.1
title: Le Petit Prince: A multilingual fMRI corpus using ecological stimuli
DOI: 10.6073/pasta/7d2705ff145b3e06bb6212b3c4fde7c7
title: Sawgrass Above and Below Ground Total Phosphorus from the Shark River Slough, Everglades National Park (FCE LTER), from September 2002 to Present

description: Once a year during the dry season (Dec-May) three live sawgrass plants are collected from each site. These plants are divided into their live above and live below ground parts. Then both the above and below ground parts are analyzed for TN, TC, and TP.
DOI: 10.6084/m9.figshare.14711067
title: Mask Wearing and County Health Behaviors

description: Data were collected from publicly available sources, including the County Health Rankings and the<i> New York Times</i>.
DOI: 10.6084/m9.figshare.14711067.v1
title: Mask Wearing and County Health Behaviors

description: Data were collected from publicly available sources, including the County Health Rankings and the<i> New York Times</i>.
DOI: 10.5281/zenodo.4890859
title: Uplink vs. Downlink: Machine Learning-based Quality Prediction for HTTP Adaptive Video Streaming

description: In this dataset the evaluation scripts, postprocessed data, and video generation files as described in "Uplink vs. Downlink: Machine Learning-based Quality Prediction for HTTP Adaptive Video Streaming" are available. The evaluation scripts include a random forest, lstm, and neural network based prediction for relevant QoE metrics in video streaming. We tackle the initial delay, video quality and quality changes, video phase prediction and stalling. In the postprocessed data, request information and selected app information for more than 13.000 video runs measured from the native YouTube app are available. Furthermore, we artificially generated 9518 random videos as reference.
DOI: 10.5281/zenodo.4888973
title: Uplink vs. Downlink: Machine Learning-based Quality Prediction for HTTP Adaptive Video Streaming

description: In this dataset the evaluation scripts, postprocessed data, and video generation files as described in "Uplink vs. Downlink: Machine Learning-based Quality Prediction for HTTP Adaptive Video Streaming" are available. The evaluation scripts include a random forest, lstm, and neural network based prediction for relevant QoE metrics in video streaming. We tackle the initial delay, video quality and quality changes, video phase prediction and stalling. In the postprocessed data, request information and selected app information for more than 13.000 video runs measured from the native YouTube app are available. Furthermore, we artificially generated 9518 random videos as reference.
DOI: 10.17909/t9-7hd2-qn75
title: HST Data for Chittidi et al. 2021

description: HST/UVIS data for the host galaxy of FRB 190608, as studied in Chittidi et al. 2021
DOI: 10.5066/p91ipqds
title: Jurassic evaporite facies of the Afghan-Tajik and Amu Darya basins in northern Afghanistan and adjacent areas (evapfacafg.shp)

description: This shapefile contains polygons that describe the spatial extent of Jurassic age evaporite facies (Gaurdak formation) in the Afghan-Tajik and Amu Darya basins.
DOI: 10.5066/p99sde1s
title: Thickness of Jurassic evaporite facies in the Afghan-Tajik and Amu Darya basins of northern Afghanistan and adjacent areas (evapisoafg.shp)

description: This shapefile contains polylines (isopachs) that describe the thickness of Jurassic age evaporite facies (Gaurdak formation) in the Afghan-Tajik and Amu Darya basins