cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4459194
title: qdgc Côte d'Ivoire

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.5281/zenodo.4459193
title: qdgc Côte d'Ivoire

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
DOI: 10.12751/g-node.c84f73
title: Dataset - Frequency of theta rhythm is controlled by acceleration but not speed in running rats

description: Dataset corresponding to the paper Frequency of theta rhythm is controlled by acceleration but not speed in running rats
description: IsSupplementTo: Kropff E., Carmichael J.E., Moser E.I. and Moser M-B., 2021, Frequency of theta rhythm is controlled by acceleration but not speed in running rats, Neuron. ()
DOI: 10.6084/m9.figshare.13633772
title: Raw Dataset: Avian community composition affects ornithophilic mosquito and avian malaria turnover across an interfluvial system in Southern Amazonia

description: We provide the raw dataset used to describe the communities turnover of bird species and Plasmodium lineages.
DOI: 10.6084/m9.figshare.13633772.v1
title: Raw Dataset: Avian community composition affects ornithophilic mosquito and avian malaria turnover across an interfluvial system in Southern Amazonia

description: We provide the raw dataset used to describe the communities turnover of bird species and Plasmodium lineages.
DOI: 10.6084/m9.figshare.13626536
title: Supplemental Tables

description: Information and details for sequence retrieval. Alignment details and further information on cyp51 paralogues.<br>Details on primer sequences.
DOI: 10.6084/m9.figshare.13626536.v2
title: Supplemental Tables

description: Information and details for sequence retrieval. Alignment details and further information on cyp51 paralogues.<br>Details on primer sequences.
DOI: 10.6084/m9.figshare.13626536.v1
title: Supplemental Figures

description: Information and details for sequence retrieval. Alignment details and further information on cyp51 paralogues.<br>Details on primer sequences.
DOI: 10.6084/m9.figshare.13633346
title: Data

description: The dataset contains several earthquakes waveform that has been used by SCALODEEP approach.
DOI: 10.5281/zenodo.3950990
title: Air pollution 01.2014 - 05.2020 (including COVID-19 lockdown) data from Graz, Austria

description: Please cite: https://doi.org/10.1016/j.envpol.2020.114587 Air quality by means of NO2, PM10 and O3 was measured at five sites in Graz, Austria (Süd (<em>eng. South</em>) - S, Nord (<em>eng. North</em>) - N, West (<em>eng. West</em>) - W, Don Bosco – D, Ost (<em>eng. East</em>) – O). In addition weather conditions like temperature, percipitation, relative humidity, pressure, wind speed and direction are added. The authors created binary temporal variables like weekday, month, season, year and day of year (numerical). The data consist of 2343 rows and 53 columns with a timestamp from January 2014 to May 2020 in a daily frequency. More details on measurement and the sites are available in Moser et al. [1] and [2]. The environmental data was provided by the Austrian government under the following license: CC-BY-4.0: Land Steiermark - data.steiermark.gv.at __________________ [1] Moser F, Kleb U, Katz H (2019) Statistische Analyse der Luftqualitätin Graz anhand von Feinstaub und Stickstoffdioxid. Graz [2] https://www.umwelt.steiermark.at/cms/ziel/2060750/DE/
DOI: 10.5281/zenodo.3694131
title: Street canyon pollutants 2011-2013 in Zagreb, Croatia

description: The sampling site was located near the historical city center of Zagreb (N: 45º 48' 41“; E: 15º 59' 21"). The street is 15 m wide and 495 m long with a set of surrounding buildings approximately 26.9 m high, oriented east west. Meteorological parameters (temperature, relative humidity, wind speed and direction, pressure and precipitation) were obtained from the Croatian Meteorological and Hydrological Service. Mass concentrations of pollutants are expressed in µg m<sup>-3</sup> More details are given in DOI: https://doi.org/10.1016/j.envpol.2020.114587
DOI: 10.5281/zenodo.3694130
title: Street canyon pollutants 2011-2013 in Zagreb, Croatia

description: The sampling site was located near the historical city center of Zagreb (N: 45º 48' 41“; E: 15º 59' 21"). The street is 15 m wide and 495 m long with a set of surrounding buildings approximately 26.9 m high, oriented east west. Meteorological parameters (temperature, relative humidity, wind speed and direction, pressure and precipitation) were obtained from the Croatian Meteorological and Hydrological Service. Mass concentrations of pollutants are expressed in µg m<sup>-3</sup> More details are given in DOI: https://doi.org/10.1016/j.envpol.2020.114587
DOI: 10.5281/zenodo.4400418
title: CompTox Zebrafish developmental toxicity processed data

description: Please cite the published paper and original data source. A classification data set for 19 endpoints of Zebrafish developmental toxicity for QSAR modelling. The original data was downloaded from https://comptox.epa.gov/dashboard See also references below. 20201230_tx_zf.csv -- Endpoint data 20201230_tx_zf_smiles.txt -- SMILES of the structures 20201230_tx_zf_descriptors_rdkit.csv -- Descriptors 20201230_tx_zf_fp_r3_v5120.csv -- Fingerprints
description: {"references": ["Williams, A.J.; Grulke, C.M.; Edwards, J.; McEachran, A.D.; Mansouri, K.; Baker, N.C.; Patlewicz, G.; Shah, I.; Wambaugh, J.F.; Judson, R.S.; et al. The CompTox Chemistry Dashboard: A community data resource for environmental chemistry. J. Cheminform. 2017, 9, 1\u201327, doi:10.1186/s13321-017-0247-6.", "Richard, A.M.; Judson, R.S.; Houck, K.A.; Grulke, C.M.; Volarath, P.; Thillainadarajah, I.; Yang, C.; Rathman, J.; Martin, M.T.; Wambaugh, J.F.; et al. ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology. Chem. Res. Toxicol. 2016, 29, 1225\u20131251, doi:10.1021/acs.chemrestox.6b00135.", "Truong, L.; Marvel, S.; Reif, D.M.; Thomas, D.G.; Pande, P.; Dasgupta, S.; Simonich, M.T.; Waters, K.M.; Tanguay, R.L. The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity. Reprod. Toxicol. 2020, 96, 359\u2013369, doi:10.1016/j.reprotox.2020.08.007."]}
DOI: 10.5281/zenodo.4400417
title: CompTox Zebrafish developmental toxicity processed data

description: Please cite the published paper and original data source. A classification data set for 19 endpoints of Zebrafish developmental toxicity for QSAR modelling. The original data was downloaded from https://comptox.epa.gov/dashboard See also references below. 20201230_tx_zf.csv -- Endpoint data 20201230_tx_zf_smiles.txt -- SMILES of the structures 20201230_tx_zf_descriptors_rdkit.csv -- Descriptors 20201230_tx_zf_fp_r3_v5120.csv -- Fingerprints
description: {"references": ["Williams, A.J.; Grulke, C.M.; Edwards, J.; McEachran, A.D.; Mansouri, K.; Baker, N.C.; Patlewicz, G.; Shah, I.; Wambaugh, J.F.; Judson, R.S.; et al. The CompTox Chemistry Dashboard: A community data resource for environmental chemistry. J. Cheminform. 2017, 9, 1\u201327, doi:10.1186/s13321-017-0247-6.", "Richard, A.M.; Judson, R.S.; Houck, K.A.; Grulke, C.M.; Volarath, P.; Thillainadarajah, I.; Yang, C.; Rathman, J.; Martin, M.T.; Wambaugh, J.F.; et al. ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology. Chem. Res. Toxicol. 2016, 29, 1225\u20131251, doi:10.1021/acs.chemrestox.6b00135.", "Truong, L.; Marvel, S.; Reif, D.M.; Thomas, D.G.; Pande, P.; Dasgupta, S.; Simonich, M.T.; Waters, K.M.; Tanguay, R.L. The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity. Reprod. Toxicol. 2020, 96, 359\u2013369, doi:10.1016/j.reprotox.2020.08.007."]}
DOI: 10.6084/m9.figshare.13560455.v1
title: Exploring the impact of under-reporting on COVID-19 statistical characteristics estimation using infection data of healthcare workers

description: dataset and coding
DOI: 10.5519/qd.7d6jrwmr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4302227
title: Database of Last Interglacial sea levels in Angola, Namibia and South Africa

description: Database of sea-level information from southern Africa (Angola to South Africa) from the Last Interglacial
DOI: 10.25646/7908
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.13633898
title: Monthly North Atlantic Sea Level Pressure reconstruction back to 1750 CE using optimized networks of observations

description: <pre>1° by 1° reconstruction of monthly North Atlantic Sea Level Pressure datasets from 1750 to 2004 CE reconstructed from a network of meteorological observations optimized using Coral Reef Optimization.</pre>
DOI: 10.6084/m9.figshare.13633898.v1
title: Monthly North Atlantic Sea Level Pressure reconstruction back to 1750 CE using optimized networks of observations

description: <pre>1° by 1° reconstruction of monthly North Atlantic Sea Level Pressure datasets from 1750 to 2004 CE reconstructed from a network of meteorological observations optimized using Coral Reef Optimization.</pre>
DOI: 10.6084/m9.figshare.13633931
title: Supplementary_table_1.docx

description: Supplementary data table for "Metabolic Effects of One-Week Binge Drinking and Fast Food Intake During Roskilde Festival in Young Healthy Male Adults"
DOI: 10.6084/m9.figshare.13633931.v1
title: Supplementary_table_1.docx

description: Supplementary data table for "Metabolic Effects of One-Week Binge Drinking and Fast Food Intake During Roskilde Festival in Young Healthy Male Adults"
DOI: 10.5281/zenodo.4453895
title: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"

description: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" under review by ISSTA2021. We release the source code of Cache, the patches used in our evaluation, as well as the experiment results. Patches: Two patch benchmarks included in our study. Small: The 1,183 deduplicated patches from Tian's ASE20 paper and Wang's ASE20 paper. Large: The patches collected by ourselves, which is consist of totally 49,694 patches from RepairThemAll and ManySStuBs. Results RQ1: The detailed result files in RQ1, which are named by the format of <em><code>[model]_[classifier].csv</code></em>. For example, the file named <em><code>BERT_DT.csv</code></em> in the folder <em><code>Small</code></em> means that this file is the result of patches from <strong>Small</strong> dataset embedded by <strong>BERT</strong> and classified by <strong>Decision Tree</strong>. Small: The detailed result files on Small dataset. Large: The detailed result files on Large dataset. Cross: The detailed result files of representation learning techniques when training on Large dataset and testing on Small dataset. RQ2: The detailed result files in RQ2. Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20 paper. ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable. Table_5_Effectiveness_APCA.xlsx: The detailed version of <strong>Table 5</strong> in the paper. Table_6_Effectiveness_ODS.xlsx: The detailed version of <strong>Table 6</strong> in the paper. Source: The source code and lib for running Cache. Guidance for replicating our study is available at <em><code>source/Readme.md</code></em>. We will build a homepage for Cache on GitHub upon acceptance.
DOI: 10.5281/zenodo.4453894
title: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"

description: The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment". This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" under review by ISSTA2021. We release the source code of Cache, the patches used in our evaluation, as well as the experiment results. Patches: Two patch benchmarks included in our study. Small: The 1,183 deduplicated patches from Tian's ASE20 paper and Wang's ASE20 paper. Large: The patches collected by ourselves, which is consist of totally 49,694 patches from RepairThemAll and ManySStuBs. Results RQ1: The detailed result files in RQ1, which are named by the format of <em><code>[model]_[classifier].csv</code></em>. For example, the file named <em><code>BERT_DT.csv</code></em> in the folder <em><code>Small</code></em> means that this file is the result of patches from <strong>Small</strong> dataset embedded by <strong>BERT</strong> and classified by <strong>Decision Tree</strong>. Small: The detailed result files on Small dataset. Large: The detailed result files on Large dataset. Cross: The detailed result files of representation learning techniques when training on Large dataset and testing on Small dataset. RQ2: The detailed result files in RQ2. Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20 paper. ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable. Table_5_Effectiveness_APCA.xlsx: The detailed version of <strong>Table 5</strong> in the paper. Table_6_Effectiveness_ODS.xlsx: The detailed version of <strong>Table 6</strong> in the paper. Source: The source code and lib for running Cache. Guidance for replicating our study is available at <em><code>source/Readme.md</code></em>. We will build a homepage for Cache on GitHub upon acceptance.
DOI: 10.6084/m9.figshare.13633937
title: Afinn

description: Contiene el Lexicon afinn con ajustes ortograficos. La fuente de la información es la siguiente: Mendoza Vega, Juan Bosco (2018). <b>Análisis de sentimientos con R - Léxico Afinn</b> . R Pubs. Recuperado de: https://rpubs.com/jboscomendoza/analisis_sentimientos_lexico_afinn https://raw.githubusercontent.com/jboscomendoza/rpubs/master/sentimientos_afinn/lexico_afinn.en.es.csv<br><br>
DOI: 10.6084/m9.figshare.13633919
title: Srecomendacion

description: Contiene la información de fecham ID, Cuenta, seguidores, seguidos y retwitts, de los Twitts extraídos entre el 30 de diciembre del 2020 hasta el 22 de enero del 2021, para el trabajo final del Master en Gestión Estratégica De La Información Y El Conocimiento De las Organizaciones llamado: ANÁLISIS DE SENTIMIENTOS SOBRE EL SISTEMA FINANCIERO COLOMBIANO UTILIZANDO HERRAMIENTAS DE MINERÍA DE OPINIÓN
DOI: 10.6084/m9.figshare.13633895
title: TwittBancos

description: Contiene los mensajes de los Twitts extraídos entre el 30 de diciembre del 2020 hasta el 22 de enero del 2021, para el trabajo final del Master en Gestión Estratégica De La Información Y El Conocimiento De las Organizaciones llamado: ANÁLISIS DE SENTIMIENTOS SOBRE EL SISTEMA FINANCIERO COLOMBIANO UTILIZANDO HERRAMIENTAS DE MINERÍA DE OPINIÓN
DOI: 10.6084/m9.figshare.13633895.v1
title: TwittBancos

description: Contiene los mensajes de los Twitts extraídos entre el 30 de diciembre del 2020 hasta el 22 de enero del 2021, para el trabajo final del Master en Gestión Estratégica De La Información Y El Conocimiento De las Organizaciones llamado: ANÁLISIS DE SENTIMIENTOS SOBRE EL SISTEMA FINANCIERO COLOMBIANO UTILIZANDO HERRAMIENTAS DE MINERÍA DE OPINIÓN
DOI: 10.6084/m9.figshare.13633901
title: FechasIDCuenta

description: Contiene la fecha, id y cuenta de los Twitts extraídos entre el 30 de diciembre del 2020 hasta el 22 de enero del 2021, para el trabajo final del Master en Gestión Estratégica De La Información Y El Conocimiento De las Organizaciones llamado: ANÁLISIS DE SENTIMIENTOS SOBRE EL SISTEMA FINANCIERO COLOMBIANO UTILIZANDO HERRAMIENTAS DE MINERÍA DE OPINIÓN
DOI: 10.17632/4knhfxh65c.1
title: Data for: Different water contents lead to contrasting magmatic differentiation pathways: a case study of two coeval rock suites

description: This is part of the geochemical data of igeneous rocks in South China. Those rocks were formed at 460~420 Ma. The database including trace, major and isotpic data.
DOI: 10.6084/m9.figshare.13633946
title: Producto

description: Contiene la información de los productos analizados en el trabajo final del Master en Gestión Estratégica De La Información Y El Conocimiento De las Organizaciones llamado: ANÁLISIS DE SENTIMIENTOS SOBRE EL SISTEMA FINANCIERO COLOMBIANO UTILIZANDO HERRAMIENTAS DE MINERÍA DE OPINIÓN<br>
DOI: 10.17632/8gcnxwjcwh.1
title: Data for: A novel workflow for modelling fluvial meander-belt successions: combining forward stratigraphic modelling and multi-point geostatistics

description: This is basically all my background related to research.
DOI: 10.21227/pbsr-dc90
title: Supplementary Materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations

description: This directory contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".
DOI: 10.6084/m9.figshare.12594374
title: Genetic patterns in the grey flathead mullet

description: This archive is related to the manuscript: Genetic patterns in the grey mullet: implications for fisheries and aquaculture management.It includes two folders and a Readme file tha describes the content of the folders.One folder includes the microsatellite genotypes of 184 individuals of Mugil cephalus, which were collected from 4 coastal ponds in Sardinia island, Western Mediterranean Sea.The other folder includes a R code to combine probabilities of individual tests according to the Likelihood method, together with the input files to execute the code.For more details see the Readme files included in each folder