cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25612/837.054gbn5484rw
title: Public Crash Data Extract from TxDOT (2010-2020)

description: Crash records for many counties in Texas, including crash type, date/time, roadway system, speed limit, roadway type, geographic information, crash severity, and day of the week.
DOI: 10.6084/m9.figshare.21727862
title: Supplement 1. Random Forest Models

description: This is a document showing the model training code used and results
DOI: 10.6084/m9.figshare.21727862.v1
title: Supplement 1. Random Forest Models

description: This is a document showing the model training code used and results
DOI: 10.25612/837.o02ygb0p1ked
title: FEMA Public Assistance Funded Projects Details

description: List of FEMA obligated public assistance projects, public assistance recipients designated as applicants in the data, and funded, individual projects (project worksheets).
DOI: 10.5683/sp2/aqhvjb
title: Replication Data for: Predicted long-term impact of COVID-19 pandemic-related care delays on cancer incidence and mortality in Canada

description: We developed a stochastic microsimulation model to estimate the long-term impacts of the pandemic on cancer incidence and mortality. The dataset contains median, maximum, and minimum model predictions by province as R objects.
DOI: 10.6084/m9.figshare.21736106
title: Sample locations- Br 1-704

description: Sample locations for various laboratory and field tests at Br 1-704.
DOI: 10.6084/m9.figshare.21733667
title: Tourism_Data

description: Data and apendices for a draft manuscript submitted to "current issue in tourism" journal.
DOI: 10.6084/m9.figshare.21733667.v2
title: Tourism_Data

description: Data and apendices for a draft manuscript submitted to "current issue in tourism" journal.
DOI: 10.6084/m9.figshare.21733667.v1
title: Is the tourism sector in emerging economies ready for digital marketing? The moderating role of leader digital skill

description: Data and apendices for a draft manuscript submitted to "current issue in tourism" journal.
DOI: 10.34740/kaggle/dsv/4728696
title: Coffee dataset
DOI: 10.3886/e150781
title: Data and Code for: Incentivized Peer Referrals for Tuberculosis Screening Data: Evidence from India

description: We study whether and how peer referrals increase screening, testing, and identification of patients with tuberculosis, an infectious disease responsible for over one million deaths annually. In an experiment with 3,176 patients at 122 tuberculosis treatment centers in India, we find that small financial incentives raise the probability that existing patients refer prospective patients for screening and testing, resulting in cost-effective identification of new cases. Incentivized referrals operate through two mechanisms: peers have private information about individuals in their social networks to target for outreach, and they are more effective than health workers in inducing these individuals to get tested.
DOI: 10.3886/e150781v1
title: Data and Code for: Incentivized Peer Referrals for Tuberculosis Screening Data: Evidence from India

description: We study whether and how peer referrals increase screening, testing, and identification of patients with tuberculosis, an infectious disease responsible for over one million deaths annually. In an experiment with 3,176 patients at 122 tuberculosis treatment centers in India, we find that small financial incentives raise the probability that existing patients refer prospective patients for screening and testing, resulting in cost-effective identification of new cases. Incentivized referrals operate through two mechanisms: peers have private information about individuals in their social networks to target for outreach, and they are more effective than health workers in inducing these individuals to get tested.
DOI: 10.5281/zenodo.7402847
title: S66-BSIE

description: This dataset contains the energies and geometries of the original S66x8 dataset and a S66x100 extension of that dataset. Instead of eight geometries for each of the complexes at different separation lengths, the S66x100 has one hundred geometries. In terms of the equilibrium distance (r_e), the S66x100 dataset has geometries of equidistant spacing of 0.025r_e from 0.7r_e to 3.0r_e, with additional geometries at 3.25r_e, 3.5r_e, 4.0r_e, 5.0r_e, 10.0r_e, 50.0r_e, and 100.0r_e. All energies are computed using the Psi4 computational chemistry package at either the RHF or B3LYP level of theory. The basis sets used are STO-3G, cc-pVDZ, cc-pVTZ, cc-pVQZ and cc-pV5Z. To access the data, unpack the tarballs S66x8.tar and S66x100.tar. The Psi4 output files are found in separate tarballs. Original S66x8 dataset: Goerigk, Lars, Holger Kruse, and Stefan Grimme. "Benchmarking density functional methods against the S66 and S66x8 datasets for non‐covalent interactions." ChemPhysChem 12.17 (2011): 3421-3433.
DOI: 10.5281/zenodo.7402846
title: S66-BSIE

description: This dataset contains the energies and geometries of the original S66x8 dataset and a S66x100 extension of that dataset. Instead of eight geometries for each of the complexes at different separation lengths, the S66x100 has one hundred geometries. In terms of the equilibrium distance (r_e), the S66x100 dataset has geometries of equidistant spacing of 0.025r_e from 0.7r_e to 3.0r_e, with additional geometries at 3.25r_e, 3.5r_e, 4.0r_e, 5.0r_e, 10.0r_e, 50.0r_e, and 100.0r_e. All energies are computed using the Psi4 computational chemistry package at either the RHF or B3LYP level of theory. The basis sets used are STO-3G, cc-pVDZ, cc-pVTZ, cc-pVQZ and cc-pV5Z. To access the data, unpack the tarballs S66x8.tar and S66x100.tar. The Psi4 output files are found in separate tarballs. Original S66x8 dataset: Goerigk, Lars, Holger Kruse, and Stefan Grimme. "Benchmarking density functional methods against the S66 and S66x8 datasets for non‐covalent interactions." ChemPhysChem 12.17 (2011): 3421-3433.
DOI: 10.5517/ccdc.csd.cc28wfqb
title: CCDC 2111742: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7060221
title: Annexe de la thèse "Acquisition de nouvelles connaissances génétiques sur les souches de Mycobacterium bovis, circulant en France, par l'approche du séquençage du génome complet." Ciriac CHARLES

description: Annexe 1 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 1 Les 87 génomes proviennent d’un travail précédent (Hauer et al., 2019). Le nom des génomes est surligné d’une couleur permettant de les distinguer à l’intérieur d’un groupe de M. bovis précédemment défini. En Jaune le Cluster I/Complexe clonal Eu3. En orange le Cluster G/Famille F9. En marron le Cluster C/Famille SB0134. En violet le Cluster D/Complexe clonal Eu1. En rose le Cluster A/Famille F4. En bleu le Cluster F/Complexe clonal Eu2. En gris, les autres. Annexe 2 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 3. Les 187 génomes sont de génotypes F7 et F15 (respectivement SB0821 et SB0832) qui sont deux génotypes très proches. Ces génomes avaient déjà été séquencés avant le début du travail de thèse. Certains ont été publiés avec le travail de Duault et collaborateur et d’autres ne l’ont pas encore été (noté NA) (Duault et al., 2022). Annexe 3 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 4. Les 227 génomes sont de génotypes SB0120-DHV. Ces génomes avaient déjà été séquencés avant le début du travail de thèse, mais ne sont actuellement pas publiés (noté NA dans les colonnes "Date de dépot" et "Bio-échantillon Genbank"). Annexe 4 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis</em> de Pyrénées-Atlantiques (SB0821 et SB0832). Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence AF2122/97. Annexe 5 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis </em>de SB0120-DHV. Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence Mb3601. Annexe 6 : Cette figure provenant du rapport de stage de Modenesi représente un arbre phylogénétique consensus circulaire de 300 souches de SB0120-DHV (Modenesi 2019). Les souches du panel 3 font parties de ces 300 souches et ont été sélectionné selon la qualité de séquençage de celle-ci ce qui explique le nombre plus petit de souches retenues (227). Cet arbre est divisé en 11 clades de couleur différente. Les valeurs de probabilité postérieures (qui correspondent à la probabilité que ces clades soient vrais) déterminées avec Beast (Drummond and Rambaut, 2007) sont représentées à l’intérieur de l’arbre.
DOI: 10.5281/zenodo.7060222
title: Annexe de la thèse "Acquisition de nouvelles connaissances génétiques sur les souches de Mycobacterium bovis, circulant en France, par l'approche du séquençage du génome complet." Ciriac CHARLES

description: Annexe 1 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 1 Les 87 génomes proviennent d’un travail précédent (Hauer et al., 2019). Le nom des génomes est surligné d’une couleur permettant de les distinguer à l’intérieur d’un groupe de M. bovis précédemment défini. En Jaune le Cluster I/Complexe clonal Eu3. En orange le Cluster G/Famille F9. En marron le Cluster C/Famille SB0134. En violet le Cluster D/Complexe clonal Eu1. En rose le Cluster A/Famille F4. En bleu le Cluster F/Complexe clonal Eu2. En gris, les autres. Annexe 2 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 3. Les 187 génomes sont de génotypes F7 et F15 (respectivement SB0821 et SB0832) qui sont deux génotypes très proches. Ces génomes avaient déjà été séquencés avant le début du travail de thèse. Certains ont été publiés avec le travail de Duault et collaborateur et d’autres ne l’ont pas encore été (noté NA) (Duault et al., 2022). Annexe 3 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 4. Les 227 génomes sont de génotypes SB0120-DHV. Ces génomes avaient déjà été séquencés avant le début du travail de thèse, mais ne sont actuellement pas publiés (noté NA dans les colonnes "Date de dépot" et "Bio-échantillon Genbank"). Annexe 4 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis</em> de Pyrénées-Atlantiques (SB0821 et SB0832). Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence AF2122/97. Annexe 5 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis </em>de SB0120-DHV. Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence Mb3601. Annexe 6 : Cette figure provenant du rapport de stage de Modenesi représente un arbre phylogénétique consensus circulaire de 300 souches de SB0120-DHV (Modenesi 2019). Les souches du panel 3 font parties de ces 300 souches et ont été sélectionné selon la qualité de séquençage de celle-ci ce qui explique le nombre plus petit de souches retenues (227). Cet arbre est divisé en 11 clades de couleur différente. Les valeurs de probabilité postérieures (qui correspondent à la probabilité que ces clades soient vrais) déterminées avec Beast (Drummond and Rambaut, 2007) sont représentées à l’intérieur de l’arbre.
DOI: 10.5281/zenodo.7443682
title: Annexe de la thèse "Acquisition de nouvelles connaissances génétiques sur les souches de Mycobacterium bovis, circulant en France, par l'approche du séquençage du génome complet." Ciriac CHARLES

description: Annexe 1 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 1 Les 87 génomes proviennent d’un travail précédent (Hauer et al., 2019). Le nom des génomes est surligné d’une couleur permettant de les distinguer à l’intérieur d’un groupe de M. bovis précédemment défini. En Jaune le Cluster I/Complexe clonal Eu3. En orange le Cluster G/Famille F9. En marron le Cluster C/Famille SB0134. En violet le Cluster D/Complexe clonal Eu1. En rose le Cluster A/Famille F4. En bleu le Cluster F/Complexe clonal Eu2. En gris, les autres. Annexe 2 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 3. Les 187 génomes sont de génotypes F7 et F15 (respectivement SB0821 et SB0832) qui sont deux génotypes très proches. Ces génomes avaient déjà été séquencés avant le début du travail de thèse. Certains ont été publiés avec le travail de Duault et collaborateur et d’autres ne l’ont pas encore été (noté NA) (Duault et al., 2022). Annexe 3 : Tableau présentant les informations des génomes de <em>Mycobacterium bovis</em> utilisés dans cette étude dans le panel 4. Les 227 génomes sont de génotypes SB0120-DHV. Ces génomes avaient déjà été séquencés avant le début du travail de thèse, mais ne sont actuellement pas publiés (noté NA dans les colonnes "Date de dépot" et "Bio-échantillon Genbank"). Annexe 4 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis</em> de Pyrénées-Atlantiques (SB0821 et SB0832). Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence AF2122/97. Annexe 5 : Position des sites d’insertions IS<em>6110</em> dans le panel de souche de <em>Mycobacterium bovis </em>de SB0120-DHV. Position du début et de la fin de l’IS<em>6110</em> sont déterminés avec l’outil ISMapper et le génome de référence Mb3601. Annexe 6 : Cette figure provenant du rapport de stage de Modenesi représente un arbre phylogénétique consensus circulaire de 300 souches de SB0120-DHV (Modenesi 2019). Les souches du panel 3 font parties de ces 300 souches et ont été sélectionné selon la qualité de séquençage de celle-ci ce qui explique le nombre plus petit de souches retenues (227). Cet arbre est divisé en 11 clades de couleur différente. Les valeurs de probabilité postérieures (qui correspondent à la probabilité que ces clades soient vrais) déterminées avec Beast (Drummond and Rambaut, 2007) sont représentées à l’intérieur de l’arbre.
DOI: 10.6073/pasta/876a08535066af2021f47e0c0ad689ca
title: Hubbard Brook Experimental Forest: 15 Minute Wind Speed and Direction Measurements, 2012 – present

description: Wind speed and direction have been recorded at 15-minute resolution by an R.M. Young company wind sensor at three locations within Hubbard Brook Experimental Forest since 2012. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.34740/kaggle/dsv/4728784
title: Coffee dataset
DOI: 10.34740/kaggle/dsv/4728792
title: Egypt Gold Prices | Daily Updated
DOI: 10.6073/pasta/44e0990bd39a4bffbfe0c5f99b5133db
title: Hubbard Brook Experimental Forest (USDA Forest Service): Wind Speed and Wind Direction Measurements, 1965 - present

description: Wind data have been measured by an anemometer mounted 3 m above the ground at Hubbard Brook Experimental Forest Headquarters since 1965. Prior to 1981, every mile of wind movement caused a tick mark on a strip-chart recorder, and wind direction as N, S, E, W, or a combination, was recorded continuously. From 1981-2003, wind speed and direction were measured with a MetOne wind speed sensor. In June 2003 the MetOne was replaced with a R.M. Young company wind speed direction sensor (model 05103). Since that time, wind direction (azimuth) is based on a 0 to 360 degree scale. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.21223/jmjeft/gw9uzy
title: 02_DataDictionary.tab

description: :unav
DOI: 10.21223/jmjeft/sx4h5s
title: 01_full_data_OFSP_LS_3_loc.tab

description: :unav
DOI: 10.5281/zenodo.7438729
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 2 after drought stress application.
DOI: 10.5281/zenodo.7438728
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 2 after drought stress application.
DOI: 10.5281/zenodo.7443668
title: Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 02 and day 02 after drought stress application.
DOI: 10.5281/zenodo.7443667
title: Cowpea drought stress application at early vegetative stage 2022 - screen 02 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 02 and day 02 after drought stress application.
DOI: 10.21223/jmjeft
title: Dataset for: Preliminary yield trial, low sugar population with 3 locations

description: Number of clones: 200 + 8 checks. Number of reps: 1 + 1/3. Design: p-rep. Locations: San Ramon, Huaral, Satipo. Objective: Low sugar
DOI: 10.5281/zenodo.7438989
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 04 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 4 after drought stress application.
DOI: 10.5281/zenodo.7438988
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 04 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 4 after drought stress application.
DOI: 10.5281/zenodo.7443775
title: Extraction Forms about Challenges and Problems of Software Processes in the Context of Global Software Development: A Systematic Mapping Study

description: Extraction Forms of the Systematic Mapping Study about Challenges and Problems of Software Processes in the Context of Global Software Development. 50 papers were analized.
DOI: 10.5281/zenodo.7443774
title: Extraction Forms about Challenges and Problems of Software Processes in the Context of Global Software Development: A Systematic Mapping Study

description: Extraction Forms of the Systematic Mapping Study about Challenges and Problems of Software Processes in the Context of Global Software Development. 50 papers were analized.
DOI: 10.5281/zenodo.7439237
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 06 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 6 after drought stress application.
DOI: 10.5281/zenodo.7439236
title: Cowpea drought stress application at early vegetative stage 2022 - screen 01 - day 06 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 01 and day 6 after drought stress application.
DOI: 10.25612/837.7p80bbzep8n3
title: Community Resilience Estimates

description: Dataset documenting the capacity of individuals and households within a community to endure and recover from the impacts of a disaster.
DOI: 10.25612/837.l05p25wwqm5y
title: Household Pulse Survey Data

description: Curated aggregated data from an online survey conducted by the US Census Bureau on the socioeconomic impact of COVID-19 on households. Includes survey responses from collection periods 1-37 (4/23/2020-09/13/2021).