cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4006119
title: POES N15 spacecraft L* values 1998-2014 determined by the TS05 external magnetic field model

description: L* values for the POES N15 spacecraft from 1998-2014 determined by the TS05 external magnetic field model. L* calculations were performed by the SpacePy package in Python (https://spacepy.github.io/). Each year has been broken up into multiple files in chronological number order (beginning at 1) . The number of files for each year are as follows: 1998 - 5 1999 - 10 2000-2014 - 15 Each file is a gzipped csv file named via the following: poes_n15_YEAR_FILENUM.csv.gz. References: Tsyganenko, N. A., and Sitnov, M. I. (2005), Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms, <em>J. Geophys. Res.</em>, 110, A03208, doi:10.1029/2004JA010798.
DOI: 10.21227/z8rw-na92
title: Simulated InSAR building dataset for CVCMFF Net

description: The simulated InSAR building dataset contains 312 simulated SAR image pairs generated from 39 different building models. Each building model is simulated at 8 viewing-angles. The sample number is 216 of the train set and is 96 of the test set. Each simulated InSAR sample contains three channels: master SAR image, slave SAR image, and interferometric phase image. This dataset serves the CVCMFF Net for building semantic segmentation of InSAR images.
DOI: 10.21227/90gm-zx48
title: Simulated InSAR building dataset for CVCMFF Net

description: The simulated InSAR building dataset contains 312 simulated SAR image pairs generated from 39 different building models. Each building model is simulated at 8 viewing-angles. The sample number is 216 of the train set and is 96 of the test set. Each simulated InSAR sample contains three channels: master SAR image, slave SAR image, and interferometric phase image. This dataset serves the CVCMFF Net for building semantic segmentation of InSAR images.
DOI: 10.34723/x3j9-ma13
title: AQMO_SV

description: The sensor values (AQMO_SV) encompass the following data fields:
-	PM10 value
-	PM2.5 value
-	PM1 value (optional)
-	Timestamp 
-	Sensor identification
-	Localisation of the measurement (GPS coordinate)
-	Temperature in Celsius degrees (optional)
-	Percentage of humidity (optional)

These data are collected by mobile sensors set up on bus bodies. The data acquisition is performed every 10 seconds. One high quality sensor will be installed for calibrating the mobile one. 

This data set follows the same standard than the Brittany AASQA: Air Breizh (https://www.airbreizh.asso.fr/) .
DOI: 10.6073/pasta/d51e39d8b23daaf3739b24fa3beff438
title: Site environmental, climate, water levels and temperatures, vegetation cover, and GIS change detection for assessing permafrost change in fens on the Tanana Flats, central Alaska

description: This data package provides data used to assess the roles of climate extremes, ecological succession, and hydrology in repeated permafrost aggradation and degradation in fens on the Tanana Flats, central Alaska. The package provides data on site environmental information, Fairbanks climate, vegetation cover, water levels and temperatures, as well as GIS files for fen change detection. The Site data include information on observers, locations, geomorphology, hydrology, soils, vegetation, and disturbance. The table has numerous fields that uses coding for class characteristics and these codes are described in the metadata as well as compiled in the ELS_Arctic_Boreal_Site_Soil_Veg_Code_Sheet_2020.docx. Alaska Climate records for Fairbanks (UAF Experiment Station) from 1904 to 2019 were acquired from the National Oceanic and Atmospheric Administration (https://www.ncdc.noaa.gov/cdo-web/). Additional data were obtained for the Nenana station (about 70 km southwest of Fairbanks), to fill in small data gaps (particularly precipitation/snow depth ruler measurements) in the Fairbanks record. We attributed the data with fields for summer (May-September) and winter periods (November-March) and hydrologic year (October-September) and calculated mean air temperature, precipitation, and snow depth by seasonal period (average of daily values) and year. The broad summer and winter periods were of interest because warmer and wetter summers increase soil heat input and warmer and snowier winters reduce soil heat loss. Fen hydrology data include information on fen water level/pressure and temperatures collected every two hours at seven sites within fens from 2011 to 2014. Vegetation composition and cover of fens, scrub, and forests was sampled to assess effects of thermokarst on vegetation change. Plant cover was determined by point-sampling at 100 points (including repetitive “hits” for all layers) distributed along 5 equally spaced rows (4-m long, 20 points per row) across the 10-m long plot. The plots were examined for additional species and a cover of 0.1% was assigned to all species not captured in the point sampling. Taxonomy follows that of the Flora of Alaska provisional checklist (https://floraofalaska.org/provisional-checklist/). The GIS files include two ArcMap GIS shapefiles on the systematically sampled widths of three large fen systems on the Tanana Flats. This 2019 dataset analyses change in fen widths by measuring widths of fens evident on high resolution imagery from 1949, 1978, 2003, and 2018. The data were collected in conjunction with a project to assess patterns and rates of thermokarst in lowland ecosystems in central Alaska. The project was funded by the U.S. Army SERDP program.
DOI: 10.5519/qd.r166yyql
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.6084/m9.figshare.13122077.v1
title: R0309_20191126a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13122077
title: R0309_20191126a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/qz0a-jy23
title: Y-Model 1

description: Y-Model 1
DOI: 10.5281/zenodo.3372787
title: Eddy Covariance observations of three different sites from Estero El Soldado, Sonora, Mexico

description: This database contains eddy covariance and micrometerogical measurements, it corresponds to three sites of study in Estero El Soldado (27.95413399, -110.9725342) Sonora, México. The flux tower was operating from June 12<sup>th</sup> 2018 to June 6<sup>st</sup> 2019. The dataset is divided in three sheets: site_1, site_2 and site_3 corresponding to the three sites where the tower was at each period. The three different scenarios consider a) bare soil and seawater column (site_1) from June 12th to October 12th 2018, n=134 days with 26 days of missing data, b) bare soil exposed some hours, seagrass present and shallow seawater column (site_2) from October 13th 2018 to February 24th 201, n= 135 days with 54 days of missing data and, 3) seagrass present and seawater column higher than previous case (site_3) from February 25th to June 6th 2019, with n=102 days with 20 days of missing data. A quality control filter was applied to the complete data set where outlier values were replaced with NaN. In addition to Mauder and Foken (2004) QC filter, we considered based on outliers the following cleaning : FCO2 values outside the range of -10 to 10 µmol m-2 s-1, as well as friction velocity (u*) &gt;3 m s-1, shortwave incoming radiation &gt;2000 W m-2, salinity &lt;25 ppt and wind speed &gt;25 m s-1.
description: Funding Organization (s): Consejo Nacional de Ciencia y Tecnología CONACYT and Secretaría de Medio Ambiente y Recursos Naturales SEMARNAT (278608)
DOI: 10.5281/zenodo.3372786
title: Eddy Covariance observations of three different sites from Estero El Soldado, Sonora, Mexico

description: This database contains eddy covariance and micrometerogical measurements, it corresponds to three sites of study in Estero El Soldado (27.95413399, -110.9725342) Sonora, México. The flux tower was operating from June 12<sup>th</sup> 2018 to June 6<sup>st</sup> 2019. The dataset is divided in three sheets: site_1, site_2 and site_3 corresponding to the three sites where the tower was at each period. The three different scenarios consider a) bare soil and seawater column (site_1) from June 12th to October 12th 2018, n=134 days with 26 days of missing data, b) bare soil exposed some hours, seagrass present and shallow seawater column (site_2) from October 13th 2018 to February 24th 201, n= 135 days with 54 days of missing data and, 3) seagrass present and seawater column higher than previous case (site_3) from February 25th to June 6th 2019, with n=102 days with 20 days of missing data. A quality control filter was applied to the complete data set where outlier values were replaced with NaN. In addition to Mauder and Foken (2004) QC filter, we considered based on outliers the following cleaning : FCO2 values outside the range of -10 to 10 µmol m-2 s-1, as well as friction velocity (u*) &gt;3 m s-1, shortwave incoming radiation &gt;2000 W m-2, salinity &lt;25 ppt and wind speed &gt;25 m s-1.
description: Funding Organization (s): Consejo Nacional de Ciencia y Tecnología CONACYT and Secretaría de Medio Ambiente y Recursos Naturales SEMARNAT (278608)
DOI: 10.6084/m9.figshare.13122821
title: Impaired killing of intracellular bacteria by Perforin-2 (MPEG1) haploinsufficient human phagocytes.

description: This post contains data associated with FIG1CD and FIG2B of "MPEG1/Perforin-2 Haploinsufficiency Associated Polymicrobial Skin Infections and Considerations for Interferon-g Therapy." Merselis LC, Jiang SY, Nelson S, Lee H, Prabaker KK, Baker JL, Munson GP and Butte MJ (2020) Front. Immunol. 11:601584. doi: 10.3389/fimmu.2020.601584. doi: 10.3389/fimmu.2020.601584. <br>In this study we show that human phagocytes carrying the nonsense mutation Y430* in Perforin-2 (MPEG1) have significantly reduced capacity to kill intracellular <i>Salmonella enterica</i> serovar Typhimurium and <i>Yersinia pseudotuberculosis</i>. <br><b>FIG1CD</b>. <i>S. </i>Typhimurium or <i>Y. pseudotuberculosis</i> were used to infect Perforin-2 (Y430*) haploinsufficient neutrophils and macrophages or wild-type controls. A/G indicates age and gender matched control. Gentamicin was used to eliminate extracellular bacteria. Intracellular bacteria were enumerated at the indicated times post infection. The data sheet contains the raw data (CFU/ml) and after its transformation to Log2 Fold Change. Log2FC = log2(CFU at time X) – log2(CFU at initial time).<br><b>FIG2B</b>. Interferon-gamma induces the expression of <i>MPEG1</i> in derived haploinsufficient (Y430*) macrophages. Data was normalized to GAPDH expression and is presented relative to untreated macrophages.<br>Refer to the associated publication for additional details and full methodology.
DOI: 10.6084/m9.figshare.13122821.v1
title: Impaired killing of intracellular bacteria by Perforin-2 (MPEG1) haploinsufficient human phagocytes.

description: This post contains data associated with FIG1CD and FIG2B of "MPEG1/Perforin-2 Haploinsufficiency Associated Polymicrobial Skin Infections and Considerations for Interferon-g Therapy." Merselis LC, Jiang SY, Nelson S, Lee H, Prabaker KK, Baker JL, Munson GP and Butte MJ (2020) Front. Immunol. 11:601584. doi: 10.3389/fimmu.2020.601584. doi: 10.3389/fimmu.2020.601584. <br>In this study we show that human phagocytes carrying the nonsense mutation Y430* in Perforin-2 (MPEG1) have significantly reduced capacity to kill intracellular <i>Salmonella enterica</i> serovar Typhimurium and <i>Yersinia pseudotuberculosis</i>. <br><b>FIG1CD</b>. <i>S. </i>Typhimurium or <i>Y. pseudotuberculosis</i> were used to infect Perforin-2 (Y430*) haploinsufficient neutrophils and macrophages or wild-type controls. A/G indicates age and gender matched control. Gentamicin was used to eliminate extracellular bacteria. Intracellular bacteria were enumerated at the indicated times post infection. The data sheet contains the raw data (CFU/ml) and after its transformation to Log2 Fold Change. Log2FC = log2(CFU at time X) – log2(CFU at initial time).<br><b>FIG2B</b>. Interferon-gamma induces the expression of <i>MPEG1</i> in derived haploinsufficient (Y430*) macrophages. Data was normalized to GAPDH expression and is presented relative to untreated macrophages.<br>Refer to the associated publication for additional details and full methodology.
DOI: 10.21227/yfst-px88
title: Y-Model 2

description: Y-Model 2
DOI: 10.25573/data.13114025
title: Dataset- Association patterns of swollen-thorn acacias with three ant species and other organisms in a dry forest of Panama.

description: The dataset contains a survey of swollen-thorn acacias (Vachellia collinsii), the resident ant species, location in the Coclé area, and binary variables for the presence of galls, true bugs, bird or wasp nests, and roach oothecas. We also include information of the diameter at the base of the tree, and DBH for trees that were tall enough. It also contains the number of galls, and number of galls/diameter at the base. <br>
DOI: 10.25573/data.13114025.v1
title: Dataset- Association patterns of swollen-thorn acacias with three ant species and other organisms in a dry forest of Panama.

description: The dataset contains a survey of swollen-thorn acacias (Vachellia collinsii), the resident ant species, location in the Coclé area, and binary variables for the presence of galls, true bugs, bird or wasp nests, and roach oothecas. We also include information of the diameter at the base of the tree, and DBH for trees that were tall enough. It also contains the number of galls, and number of galls/diameter at the base. <br>
DOI: 10.5066/p9npycrh
title: Observations and model simulations of umbrella-cloud growth during eruptions of Mount Pinatubo (Philippines, June 15, 1991), Kelud Volcano (Indonesia, February 14, 2014), and Calbuco Volcano (Chile, April 22-23, 2015)

description: Model output to accompany the paper "Comparing Simulations of Umbrella-Cloud Growth and Ash Transport with Observations from Pinatubo, Kelud, and Calbuco Volcanoes", by L.G. Mastin and Alexa Van Eaton, published by the journal Atmosphere. The data release includes model input and output used to generate figures in the paper. Reference: Mastin, L.G., and Van Eaton, A.R., 2020, Comparing Simulations of Umbrella-Cloud Growth and Ash Transport with Observations from Pinatubo, Kelud, and Calbuco Volcanoes: Atmosphere, v. 11, no. 10, p. 1038. https://www.mdpi.com/2073-4433/11/10/1038
DOI: 10.5281/zenodo.4115911
title: The limits of normal approximation for adult height

description: Supplementary tables from the article "The limits of normal approximation for adult height".
DOI: 10.5281/zenodo.4115910
title: The limits of normal approximation for adult height

description: Supplementary tables from the article "The limits of normal approximation for adult height".
DOI: 10.5281/zenodo.4065928
title: The limits of normal approximation for adult height - old version

description: Supplementary tables from the article "The limits of normal approximation for adult height".
DOI: 10.5281/zenodo.4065927
title: The limits of normal approximation for adult height - old version

description: Supplementary tables from the article "The limits of normal approximation for adult height".
DOI: 10.5517/ccdc.csd.cc1j253w
title: CCDC 1402257: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1j3ns2
title: CCDC 1403704: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1k5w0m
title: CCDC 1435610: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1k5w9x
title: CCDC 1435619: Experimental Crystal Structure Determination

description: Related Article: Sumitra N. Mangasuli|2020|Chem. Data Collect.|29|100503|doi:10.1016/j.cdc.2020.100503
DOI: 10.5517/ccdc.csd.cc1mq2hx
title: CCDC 1510769: Experimental Crystal Structure Determination

description: Related Article: Jonathan B. Steinman, Cristina C. Santarossa, Rand M. Miller, Lola S. Yu, Anna S. Serpinskaya, Hideki Furukawa, Sachie Morimoto, Yuta Tanaka, Mitsuyoshi Nishitani, Moriteru Asano, Ruta Zalyte, Alison E. Ondrus, Alex G. Johnson, Fan Ye, Maxence V. Nachury, Yoshiyuki Fukase, Kazuyoshi Aso, Michael A. Foley, Vladimir I. Gelfand, James K. Chen, Andrew P. Carter, Tarun M. Kapoor|2017|eLife|6|e25174|doi:10.7554/eLife.25174
DOI: 10.5517/ccdc.csd.cc1mq2jy
title: CCDC 1510770: Experimental Crystal Structure Determination

description: Related Article: Jonathan B. Steinman, Cristina C. Santarossa, Rand M. Miller, Lola S. Yu, Anna S. Serpinskaya, Hideki Furukawa, Sachie Morimoto, Yuta Tanaka, Mitsuyoshi Nishitani, Moriteru Asano, Ruta Zalyte, Alison E. Ondrus, Alex G. Johnson, Fan Ye, Maxence V. Nachury, Yoshiyuki Fukase, Kazuyoshi Aso, Michael A. Foley, Vladimir I. Gelfand, James K. Chen, Andrew P. Carter, Tarun M. Kapoor|2017|eLife|6|e25174|doi:10.7554/eLife.25174
DOI: 10.5517/ccdc.csd.cc1nqdzr
title: CCDC 1540885: Experimental Crystal Structure Determination

description: Related Article: Claude Bauder|2018|Eur.J.Org.Chem.|2018|4874|doi:10.1002/ejoc.201800875
DOI: 10.5517/ccdc.csd.cc1p7tpf
title: CCDC 1556655: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1p7tqg
title: CCDC 1556656: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1p7trh
title: CCDC 1556657: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1p7tsj
title: CCDC 1556658: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1p7ttk
title: CCDC 1556659: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1pqk87
title: CCDC 1570809: Experimental Crystal Structure Determination

description: Related Article: N. Ugin Inba Raj|2020|J.Mol.Struct.|1208|127911|doi:10.1016/j.molstruc.2020.127911
DOI: 10.5517/ccdc.csd.cc1z1w63
title: CCDC 1819055: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2020|Polyhedron|187|114673|doi:10.1016/j.poly.2020.114673
DOI: 10.5517/ccdc.csd.cc20pt0k
title: CCDC 1867998: Experimental Crystal Structure Determination

description: Related Article: Mohammed H. Geesi|2020|J.Mol.Struct.|1208|127894|doi:10.1016/j.molstruc.2020.127894
DOI: 10.5517/ccdc.csd.cc21ntfz
title: CCDC 1896841: Experimental Crystal Structure Determination

description: Related Article: Stefano Racioppi, Michal Andrzejewski, Valentina Colombo, Angelo Sironi, Piero Macchi|2020|Inorg.Chem.|59|2223|doi:10.1021/acs.inorgchem.9b02852
DOI: 10.5517/ccdc.csd.cc21ntg0
title: CCDC 1896842: Experimental Crystal Structure Determination

description: Related Article: Stefano Racioppi, Michal Andrzejewski, Valentina Colombo, Angelo Sironi, Piero Macchi|2020|Inorg.Chem.|59|2223|doi:10.1021/acs.inorgchem.9b02852
DOI: 10.5517/ccdc.csd.cc21nth1
title: CCDC 1896843: Experimental Crystal Structure Determination

description: Related Article: Stefano Racioppi, Michal Andrzejewski, Valentina Colombo, Angelo Sironi, Piero Macchi|2020|Inorg.Chem.|59|2223|doi:10.1021/acs.inorgchem.9b02852
DOI: 10.5517/ccdc.csd.cc21vd3f
title: CCDC 1902194: Experimental Crystal Structure Determination

description: Related Article: Cheng-Yang Yue, Hai-Xiao Sun, Quan-Xiu Liu, Xin-Ming Wang, Zhao-Shuo Yuan, Juan Wang, Jia-Hang Wu, Bing Hu, Xiao-Wu Lei|2019|Inorg.Chem.Front.|6|2709|doi:10.1039/C9QI00684B
DOI: 10.5517/ccdc.csd.cc22bctm
title: CCDC 1916600: Experimental Crystal Structure Determination

description: Related Article: Pius O. Adelani, Josemaria S. Soriano, Bryan E. Galeas, Ginger E. Sigmon, Jennifer E. S. Szymanowski, Peter C. Burns|2019|Inorg.Chem.|58|12662|doi:10.1021/acs.inorgchem.9b01448
DOI: 10.5517/ccdc.csd.cc22bc60
title: CCDC 1916581: Experimental Crystal Structure Determination

description: Related Article: Pius O. Adelani, Josemaria S. Soriano, Bryan E. Galeas, Ginger E. Sigmon, Jennifer E. S. Szymanowski, Peter C. Burns|2019|Inorg.Chem.|58|12662|doi:10.1021/acs.inorgchem.9b01448
DOI: 10.5517/ccdc.csd.cc22cjtt
title: CCDC 1917716: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Christoph Herok, Felipe Fantuzzi, Bernd Engels, Holger Braunschweig|2019|Angew.Chem.,Int.Ed.|58|12893|doi:10.1002/anie.201906671
DOI: 10.5517/ccdc.csd.cc22cjvv
title: CCDC 1917717: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Christoph Herok, Felipe Fantuzzi, Bernd Engels, Holger Braunschweig|2019|Angew.Chem.,Int.Ed.|58|12893|doi:10.1002/anie.201906671
DOI: 10.5517/ccdc.csd.cc22cjxx
title: CCDC 1917719: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Christoph Herok, Felipe Fantuzzi, Bernd Engels, Holger Braunschweig|2019|Angew.Chem.,Int.Ed.|58|12893|doi:10.1002/anie.201906671
DOI: 10.5517/ccdc.csd.cc22ck23
title: CCDC 1917724: Experimental Crystal Structure Determination

description: Related Article: Liang Feng, Yutong Wang, Kai Zhang, Kun-Yu Wang, Weidong Fan, Xiaokang Wang, Joshua A. Powell, Bingbing Guo, Fangna Dai, Liangliang Zhang, Rongming Wang, Daofeng Sun, Hong-Cai Zhou|2019|Angew.Chem.,Int.Ed.|58|16682|doi:10.1002/anie.201910717
DOI: 10.25345/c5g789
title: MassIVE MSV000086344 - test submission of compounds to massive dataset .
title: test .
DOI: 10.5281/zenodo.4115904
title: Scientific and vernacular names of miombo woody species identified in the Gilé National Park and surrounding in Mozambique

description: The Gilé National Park (GNAP) is located in the northeastern part of Zambezia province in Mozambique. Species names were recorded from local field guide in Lomwe language during floristic inventories. Inventories were carried out in mature Miombo forest and Miombo regeneration areas during the dry seasons in 2015, 2016 and 2019, inside the GNAP (core area and buffer zone) and in the surroundings of the GNAP. Correspondences in scientific name were then made using determinations with field identification guides and with the checklist of the vernacular names of vascular plants in Mozambique (de Koning, 1993).
DOI: 10.17632/686bhfh4tb.1
title: Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic context

description: Raw data and statistical analyses
DOI: 10.17632/ycpvsf3zzr.1
title: Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic context

description: Raw data; code and output
DOI: 10.17632/z7bgfgxkhd.1
title: Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic context

description: Raw data, code and analysis output
DOI: 10.21227/ck3y-t006
title: Model3

description: New data preprocessing. +- 2 days.Feature extracted on multiple months.