cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/uuid:f84ad980-24de-4656-aa19-e4273df120d4
title: Measured data from sensor IMD at Huewelerbach2 for month 2005-05

description: Parent item: All data measured by interception measurement device in Huewerbach basin Measuring instrument: Huewelerbach basin: Interception measurement device According to original data the location is Westerbork NL but this is probably wrong Evaporation measument. Area basin 1.00 m2, 2x3 strain gauges: type FLA-6, resistance 120 Ohm. Valve (&lt; 18 jan 2006): electronic magnetic valve Type: MBMG2Z-1263008-12V. (KOBOLD Instrumentatie BV, Arnhem) Valve (&gt;=18 jan 2006): electronic magnetic valve (12VDC) Type: MBMG2Z-1264020. Messing 3/4 " (KOBOLD Instrumentatie BV, Arnhem) Temperature sensor: LM335, output 10 mV/K (Farnell). Throughfall: tipping bucket & pluvio meters.
DOI: 10.4121/uuid:f8965245-0986-4878-a495-8e27f11e8574
title: Calculated data from sensor Q1 at Maisbich for month 2004-06

description: Height notch above sensor 0.145m Parent item: Maisbich (Luxemburg), calculated data from discharge meter Q1, 2003-12 to 2008-05 Measuring instrument: Maisbich basin: V-notch discharge meter Q1 Type: Pressure Sensor Keller DCX-4.0, SN 1454 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: hV=0.145m. The discharge is calculated with the rating curve Q=C*(h-hV)^2.5 where C is a calibration constant and h results from the pressure difference (Willem Luxemburg, Martijn Westhoff). Contributor: Durr, E.H.(Eugene)
DOI: 10.4121/uuid:f978698a-d4c1-421a-9559-1b06ece841d3
title: Measured data from sensor Q1 at Maisbich for month 2004-10

description: Parent item: Maisbich (Luxemburg), measured data from discharge meter Q1, 2003-12 to 2008-05 Measuring instrument: Maisbich basin: V-notch discharge meter Q1 Type: Pressure Sensor Keller DCX-4.0, SN 1454 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: hV=0.145m. The discharge is calculated with the rating curve Q=C*(h-hV)^2.5 where C is a calibration constant and h results from the pressure difference (Willem Luxemburg, Martijn Westhoff).
DOI: 10.4121/uuid:fa61b2b9-810a-4fcf-9e5f-97191099573c
title: Measured data from sensor Dis at Attert for month 2006-08

description: measured water pressure Parent item: All data measured by discharge meter in Attert basin Measuring instrument: Useldange, Attert basin: Discharge meter ISCO 4120 ultrasonic sensor (ceramic pressure membrane). Measures water pressure (?). The sensor is installed under a bridge (?).
DOI: 10.4121/uuid:fa671e06-0b5f-44b0-a0e0-42e1a2eb7c22
title: Measured data from sensor GRW21 at Maisbich for month 2005-06

description: Height piezometer above sensor 1.25 m Missing values till 06-21 Parent item: All data measured by groundwater level piezometer GRW21 at Maisbich Measuring instrument: Maisbich basin: Groundwater level piezometer Code: GRW 21 Type: Temperature and Pressure sensor Make: Keller DCX-22 AA This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of piezometer above sensor: 1.18m.
DOI: 10.4121/uuid:fa6e917a-ae28-4548-b0c5-d266f578863b
title: Measured data from sensor Dis at Attert for month 2006-04

description: measured water pressure Parent item: All data measured by discharge meter in Attert basin Measuring instrument: Useldange, Attert basin: Discharge meter ISCO 4120 ultrasonic sensor (ceramic pressure membrane). Measures water pressure (?). The sensor is installed under a bridge (?).
DOI: 10.4121/uuid:faba4a77-f58b-4272-b61c-48a0aaa17521
title: Calculated data from sensor Q1 at Maisbich for month 2005-11

description: Values missing between 11-01 and 11-18 Height V-notch above sensor0.145m Parent item: Maisbich (Luxemburg), calculated data from discharge meter Q1, 2003-12 to 2008-05 Measuring instrument: Maisbich basin: V-notch discharge meter Q1 Type: Pressure Sensor Keller DCX-4.0, SN 1454 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: hV=0.145m. The discharge is calculated with the rating curve Q=C*(h-hV)^2.5 where C is a calibration constant and h results from the pressure difference (Willem Luxemburg, Martijn Westhoff). Contributor: Durr, E.H.(Eugene)
DOI: 10.4121/uuid:fc3b68b2-a6c5-4b85-a386-65f2682e84ac
title: Measured data from sensor Q3 at Maisbich for month 2006-08

description: Parent item: Maisbich (Luxemburg), measured data from discharge meter Q3, 2003-12 to 2006-10 Measuring instrument: Maisbich basin: V-notch discharge meter Q3 (Qdown) Type: Pressure Sensor Keller DCX-4.0, SN 1467 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: -0.0015m. Datasets with correction contain the corrected discharge observed at the Vnotch. The discharge is calculated as Q=Cd*h^2.5 After correcting the logger measurements with hand measured depths we interpolated the difference (dH) Then we determined the factor Cd with discharge measurements which we also interpolated The timing of hand measurements can be corrected to better represent the logged values The last corrections (variable "clean_corr") were made for blocking of the V-notch weir as folows: z1 represents the last good discharge value after which sedimentation slowly starts blocking the weir z2 represents the moment when the blocking is max z3 represents the moment just before cleaning of the weir z4 represents the moment after cleaning of the weir The max difference in discharge is Q(z3)-Q(z4)
DOI: 10.4121/uuid:fc51cdfc-40be-4495-ac89-8079f846d576
title: Measured data from sensor GRW21 at Maisbich for month 2004-05

description: Height piezometer above sensor1.25m Parent item: All data measured by groundwater level piezometer GRW21 at Maisbich Measuring instrument: Maisbich basin: Groundwater level piezometer Code: GRW 21 Type: Temperature and Pressure sensor Make: Keller DCX-22 AA This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of piezometer above sensor: 1.18m.
DOI: 10.4121/uuid:fd417031-74f3-4671-9908-59f94b458277
title: Measured data from sensor Q3 at Maisbich for month 2005-03

description: Parent item: Maisbich (Luxemburg), measured data from discharge meter Q3, 2003-12 to 2006-10 Measuring instrument: Maisbich basin: V-notch discharge meter Q3 (Qdown) Type: Pressure Sensor Keller DCX-4.0, SN 1467 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: -0.0015m. Datasets with correction contain the corrected discharge observed at the Vnotch. The discharge is calculated as Q=Cd*h^2.5 After correcting the logger measurements with hand measured depths we interpolated the difference (dH) Then we determined the factor Cd with discharge measurements which we also interpolated The timing of hand measurements can be corrected to better represent the logged values The last corrections (variable "clean_corr") were made for blocking of the V-notch weir as folows: z1 represents the last good discharge value after which sedimentation slowly starts blocking the weir z2 represents the moment when the blocking is max z3 represents the moment just before cleaning of the weir z4 represents the moment after cleaning of the weir The max difference in discharge is Q(z3)-Q(z4)
DOI: 10.4121/uuid:fda5ac3e-cb68-4995-8688-10f114317979
title: Measured data from sensor Dis at Attert for month 2006-10

description: measured water pressure Parent item: All data measured by discharge meter in Attert basin Measuring instrument: Useldange, Attert basin: Discharge meter ISCO 4120 ultrasonic sensor (ceramic pressure membrane). Measures water pressure (?). The sensor is installed under a bridge (?).
DOI: 10.4121/uuid:fde3aa22-512f-4680-9ddf-63390fae4162
title: Calculated data from sensor Q2 at Maisbich for month 2005-09

description: Height V-notch above sensor -0.017 m Parent item: Maisbich (Luxemburg), calculated data from discharge meter Q2 Measuring instrument: Maisbich basin: V-notch discharge meter Q2 Type: Pressure Sensor Keller DCX-4.0, SN 1466 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: -0.017m. Contributor: Durr, E.H.(Eugene)
DOI: 10.4121/uuid:fe01dd23-2349-4733-9386-06c3b0f1dde1
title: Measured data from sensor Dis at Attert for month 2004-04

description: measured water pressure Parent item: All data measured by discharge meter in Attert basin Measuring instrument: Useldange, Attert basin: Discharge meter ISCO 4120 ultrasonic sensor (ceramic pressure membrane). Measures water pressure (?). The sensor is installed under a bridge (?).
DOI: 10.4121/uuid:fe4dee50-fdfe-4da8-b2a5-f768ee43ef1d
title: Calculated data from sensor Q2 at Maisbich for month 2005-05

description: Height V-notch above sensor -0.017 m Parent item: Maisbich (Luxemburg), calculated data from discharge meter Q2 Measuring instrument: Maisbich basin: V-notch discharge meter Q2 Type: Pressure Sensor Keller DCX-4.0, SN 1466 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: -0.017m. Contributor: Durr, E.H.(Eugene)
DOI: 10.4121/uuid:fe953a23-da41-498c-a24d-828441c20484
title: Measured data from sensor METEO at Huewelerbach2 for month 2004-11

description: Parent item: All data measured by meteorological station in Huewerbach basin Measuring instrument: Huewelerbach basin: Meteorological station
DOI: 10.4121/uuid:febcaf84-66c2-4a3e-95f5-7c463f52eaa1
title: Calculated data from sensor Q1 at Maisbich for month 2006-03

description: Height V-notch above sensor 0.145 m Parent item: Maisbich (Luxemburg), calculated data from discharge meter Q1, 2003-12 to 2008-05 Measuring instrument: Maisbich basin: V-notch discharge meter Q1 Type: Pressure Sensor Keller DCX-4.0, SN 1454 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: hV=0.145m. The discharge is calculated with the rating curve Q=C*(h-hV)^2.5 where C is a calibration constant and h results from the pressure difference (Willem Luxemburg, Martijn Westhoff). Contributor: Durr, E.H.(Eugene)
DOI: 10.4121/uuid:fef23744-b92b-4242-884b-5eda94b79993
title: Measured data from sensor Q2 at Maisbich for month 2005-06

description: Parent item: Maisbich (Luxemburg), measured data from discharge meter Q2 Measuring instrument: Maisbich basin: V-notch discharge meter Q2 Type: Pressure Sensor Keller DCX-4.0, SN 1466 This instrument is based on differential pressure measurement of two absolute sensors. The sensors measure pressure and temperature. Height of V-notch above sensor: -0.017m.
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 155.3 (Cq, 2C), 141.2 (Cq, 2C), 141.0 (Cq, 2C), 138.7 (Cq, 2C), 131.4 (CHar, 2C), 130.0 (CHar, 2C), 129.3 (CHar, 2C), 128.6 (CHar, 2C), 91.5 (Cq, 2C), 23.6 (CH3, 2C).
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.11 (dd, J = 8.1 Hz, J = 1.7 Hz, 2H), 8.08 – 8.01 (m, 2H), 7.83 – 7.72 (m, 4H), 3.05 (s, 6H).Impurities (ppm): 1.45–0.8 (grease).
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3082, 3065, 3047, 3033, 3002, 2952, 2921, 2871, 2851, 1965, 1939, 1914, 1856, 1830, 1740, 1718, 1635, 1608, 1561, 1550, 1482, 1465, 1425, 1404, 1373, 1351, 1336, 1313, 1292, 1268, 1249, 1217, 1186, 1136, 1118, 1081, 1040, 1001, 956, 915, 871, 849, 756, 734, 707, 684, 605, 569, 547, 493, 480, 462, 445, 408, 395 cm–1.
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 140 °C), m/z (%): 311 (26) [M+H]+, 310 (100) [M]+, 309 (81), 181 (13), 175 (14), 117 (34), 111 (16), 109 (10), 97 (27), 95 (14), 85 (24), 83 (26), 81 (14), 77 (20), 76 (31), 71 (32), 70 (12), 69 (22), 57 (61), 56 (11), 55 (20).HRMS–EI (m/z): [M]+ calcd for C20H14N4 310.1213; found 310.1212.
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/sfqrvuxrvnghdq-uhfffaoysa-n.1
title: C20H14N4
title: InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3

description: This dataset contains experimental data from a sample (InChI=1S/C20H14N4/c1-13-15(23-19-9-5-3-7-17(19)21-13)11-12-16-14(2)22-18-8-4-6-10-20(18)24-16/h3-10H,1-2H3). The datasets from the following experiments are available: mass spectrometry (MS) infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT)
DOI: 10.6084/m9.figshare.16864006.v4
title: Dataset

description: Dataset and tools
DOI: 10.5281/zenodo.5629346
title: Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

description: All data relevant for the paper "Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py". To use with the analysis scripts, clone the github repository https://github.com/UIUC-PPL/charm4py-mpi4py-compare, and check out the "espm2_2021" branch. Unzip this file into the cloned repository, the analysis scripts will access it from there.
DOI: 10.5281/zenodo.5629345
title: Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

description: All data relevant for the paper "Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py". To use with the analysis scripts, clone the github repository https://github.com/UIUC-PPL/charm4py-mpi4py-compare, and check out the "espm2_2021" branch. Unzip this file into the cloned repository, the analysis scripts will access it from there.
DOI: 10.5281/zenodo.5634191
title: Data and source code for Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary

description: We present a method for automatic ranking concreteness of words and propose an approach to significantly decrease amount of expert assessment. The method has been evaluated on a large test set for English. The quality of the constructed dictionaries is comparable to the expert ones. The correlation between predicted and expert ratings is higher comparing to the state-of-the-art methods.
DOI: 10.5281/zenodo.5634190
title: Data and source code for Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary

description: We present a method for automatic ranking concreteness of words and propose an approach to significantly decrease amount of expert assessment. The method has been evaluated on a large test set for English. The quality of the constructed dictionaries is comparable to the expert ones. The correlation between predicted and expert ratings is higher comparing to the state-of-the-art methods.
DOI: 10.6084/m9.figshare.16864006.v7
title: Dataset

description: Dataset and tools
DOI: 10.6084/m9.figshare.16864006
title: Dataset

description: Dataset and tools
DOI: 10.6084/m9.figshare.15057261
title: Nudging the N170 forward with prior stimulation - Bridging the gap between N170 and recognition potential

description: Code and data of our paper in Human Brain Mapping <i>Nudging the N170 forward with prior stimulation–Bridging the gap between N170 and recognition potential.</i><i><br></i>For the details of the data and how to run the code, see README.
DOI: 10.6084/m9.figshare.15057261.v1
title: Nudging the N170 forward with prior stimulation - Bridging the gap between N170 and recognition potential

description: Code and data of our paper in Human Brain Mapping <i>Nudging the N170 forward with prior stimulation–Bridging the gap between N170 and recognition potential.</i><i><br></i>For the details of the data and how to run the code, see README.
DOI: 10.34740/kaggle/dsv/2763401
title: OmniPrint-metaX
DOI: 10.6084/m9.figshare.16879573.v1
title: Gender differences in the induction of negative emotions by loss- versus gain-framed images accompanying a nutrition message

description: Health personnel’s preference for loss-framed health messages is attributed to occupational factors, but it could owe to gender. The majority of health workers are women, more susceptible to negative emotions than men. Here, we tested whether there are gender biases in processes whereby gain- and loss-framed messages induce negative emotions in the task of assessing a poster with nutritional recommendations to reduce risks associated with COVID-19. Using images of a smiling family indoors versus transportation of a coffin, we found among workers at a hospital in Lima, Peru that loss-frame, compared to gain-frame, robustly increased the negative emotions of women, but not those of men. Findings entailing positive emotions and adherence behavior are still needed to challenge the occupational interpretation.<br>
DOI: 10.6084/m9.figshare.16910479
title: Data for Quantitative analysis of species distribution of the Early Carboniferous Zaphrentis delanouei group from the Vale of Glamorgan, UK

description: Data including Markov Chain Monte Carlo, branching processes, t-tests, and Galton-Watson extinction. Distribution logs are the basis of all statistics.
DOI: 10.6084/m9.figshare.16910479.v1
title: Data for Quantitative analysis of species distribution of the Early Carboniferous Zaphrentis delanouei group from the Vale of Glamorgan, UK

description: Data including Markov Chain Monte Carlo, branching processes, t-tests, and Galton-Watson extinction. Distribution logs are the basis of all statistics.
DOI: 10.5519/qd.vudyi1iu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5281/zenodo.5626804
title: The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading

description: Dataset for the paper "The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading " - NullModels_NoOverlap.xlsx : Index of data files and summary of results for the Null Model and No Overlap Analyses - EphemeralGroups.xlsx: Index of data files and summary of results of a selection of tested configurations for #G=(1,10,100,1000). The corresponding zip files contain the data files for each #G
DOI: 10.5281/zenodo.5626803
title: The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading

description: Dataset for the paper "The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading " - NullModels_NoOverlap.xlsx : Index of data files and summary of results for the Null Model and No Overlap Analyses - EphemeralGroups.xlsx: Index of data files and summary of results of a selection of tested configurations for #G=(1,10,100,1000). The corresponding zip files contain the data files for each #G
DOI: 10.5517/ccdc.csd.cc28f6wt
title: CCDC 2098076: Experimental Crystal Structure Determination

description: Related Article: Lu Hu, Chunlin He, Siping Pang, Jean’ne M. Shreeve|2021|Org.Lett.|23|7860|doi:10.1021/acs.orglett.1c02876
DOI: 10.6084/m9.figshare.16879573.v2
title: Gender differences in the induction of negative emotions by loss- versus gain-framed images accompanying a nutrition message

description: Health personnel’s preference for loss-framed health messages is attributed to occupational factors, but it could owe to gender. The majority of health workers are women, more susceptible to negative emotions than men. Here, we tested whether there are gender biases in processes whereby gain- and loss-framed messages induce negative emotions in the task of assessing a poster with nutritional recommendations to reduce risks associated with COVID-19. Using images of a smiling family indoors versus transportation of a coffin, we found among workers at a hospital in Lima, Peru that loss-frame, compared to gain-frame, robustly increased the negative emotions of women, but not those of men. Findings entailing positive emotions and adherence behavior are still needed to challenge the occupational interpretation.<br>
DOI: 10.5519/qd.f1iua1d2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (381 records)
DOI: 10.5281/zenodo.5634273
title: Database of liquefaction phenomena triggered by the March 2021 Thessaly, Greece, seismic sequence

description: This archive contains data related to the paper “Floodplain evolution and its influence on liquefaction clustering: the case study of March 2021 Thessaly, Greece, seismic sequence” by George Papathanassiou, Sotiris Valkaniotis, Athanassios Ganas, Alexandros Stampolidis, Dimitra Rapti, Riccardo Caputo. <br> Submitted to <em>Engineering Geology, Elsevier</em> <strong>Liquefaction_DB_20210303</strong> contains shapefiles and spreadsheet for the mapped liquefaction phenomena<br> <strong>UAS_Liquefaction_Surveys_Larisa_EQ</strong> contains detailed geospatial data for mapped liquefaction phenomena from UAS surveys
DOI: 10.5281/zenodo.5634272
title: Database of liquefaction phenomena triggered by the March 2021 Thessaly, Greece, seismic sequence

description: This archive contains data related to the paper “Floodplain evolution and its influence on liquefaction clustering: the case study of March 2021 Thessaly, Greece, seismic sequence” by George Papathanassiou, Sotiris Valkaniotis, Athanassios Ganas, Alexandros Stampolidis, Dimitra Rapti, Riccardo Caputo. <br> Submitted to <em>Engineering Geology, Elsevier</em> <strong>Liquefaction_DB_20210303</strong> contains shapefiles and spreadsheet for the mapped liquefaction phenomena<br> <strong>UAS_Liquefaction_Surveys_Larisa_EQ</strong> contains detailed geospatial data for mapped liquefaction phenomena from UAS surveys
DOI: 10.5281/zenodo.5634290
title: Workflow Analysis of Data Science Code in PublicGitHub Repositories

description: A dataset containing data science code snippets taken from the Jupyter notebook cells annotated with the data science step it performs is provided along with a set of analyses to understand the data science implementation life cycle.