AndreaBozzo/ceres-open-data-index huggingface dataset:
TropGene Cotton

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The COTTON data in this dataset produced between 2008 and 2012 were extracted from the TROPGENE_COTTON database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_cotton_references‧txt file contains the references of the scientific publications on these data.
TropGene Coffee

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The COFFEE data in this dataset produced between 2003 and 2021 were extracted from the TROPGENE_COFFEE database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_coffee_references‧txt file contains the references of the scientific publications on these data.
TropGene Cocoa

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The COCOA data in this dataset produced between 2008 and 2020 were extracted from the TROPGENE_COCOA database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_cocoa_references‧txt file contains the references of the scientific publications on these data.
TropGene Citrus

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The CITRUS data in this dataset produced in 2012 were extracted from the TROPGENE_CITRUS database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_citrus_references‧txt file contains the references of the scientific publications on these data.
TropGene Breadfruit

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The BREADFRUIT data in this dataset produced between 2013 and 2016 were extracted from the TROPGENE_BREADFRUIT database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_breadfruit_references‧txt file contains the references of the scientific publications on these data.
TropGene Banana

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The BANANA data in this dataset produced between 2007 and 2018 were extracted from the TROPGENE_BANANA database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_banana_references‧txt file contains the references of the scientific publications on these data.
TropGene Rice

[Lien vers la fiche source] The data come from the TropGeneDB CIRAD information system (https://tropgenedb.cirad.fr/tropgene/JSP/index.jsp). TropGeneDB contains data from studies on tropical and mediterranean plants for various kinds of topics such as marker, QTL, genotype, genetic, phenotype, cartography (genetic, physical and linkage disequilibrium maps), linkage disequilibrium, association and germplasm. The plants concerned are banana, breadfruit, citrus, cocoa, coconut palm, cotton, oil palm, rice, rubber, sorghum and sugarcane. The IS has a database per plant. The data were produced by CIRAD researchers or by CIRAD researchers and colleagues associated in research projects. All The data have been published. The RICE data in this dataset produced between 1990 and 2018 were extracted from the TROPGENE_RICE database in tabulated text format files. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact) it belongs to. The tropgene_rice_references‧txt file contains the references of the scientific publications on these data.
EURoot Maize

[Lien vers la fiche source] The data come from the EURoot DB Information System (IS).(http://euroot.cirad.fr/euroot/JSP/index.jsp). EURoot DB is the database of the EURoot project "Enhancing resource uptake from roots under stress in cereal crops". It manages information on QTLs, genes and mutants involved in root growth under stress (drought, low N or low P) in barley, durum wheat, maize and rice. This project funded by the European Comission and coordinated by CIRAD began on 1 January 2012 and ended on 31 December 2015. It was the topic KBBE.2011.1.2-05 - Root signalling, growth and development under abiotic stress conditions of the FP7-KBBE - Specific Programme "Cooperation": Food, Agriculture and Biotechnology. 19 Participants from various jeuropean countries were involved in this project. The IS has a database per plant and the files of this dataset were extracted from the EURoot MAIZE database in tabulated text format. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact). All publications concerning this dataset are recorded in the EUROOT_maize_references‧txt.
EURoot Wheat

[Lien vers la fiche source] The data come from the EURoot DB Information System (IS).(http://euroot.cirad.fr/euroot/JSP/index.jsp). EURoot DB is the database of the EURoot project "Enhancing resource uptake from roots under stress in cereal crops". It manages information on QTLs, genes and mutants involved in root growth under stress (drought, low N or low P) in barley, durum wheat, maize and rice. This project funded by the European Comission and coordinated by CIRAD began on 1 January 2012 and ended on 31 December 2015. It was the topic KBBE.2011.1.2-05 - Root signalling, growth and development under abiotic stress conditions of the FP7-KBBE - Specific Programme "Cooperation": Food, Agriculture and Biotechnology. 19 Participants from various jeuropean countries were involved in this project. The IS has a database per plant and the files of this dataset were extracted from the EURoot WHEAT database in tabulated text format. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact). All publications concerning this dataset are recorded in the EUROOT_wheat_references‧txt.
EURoot Rice

[Lien vers la fiche source] The data come from the EURoot DB Information System (IS).(http://euroot.cirad.fr/euroot/JSP/index.jsp). EURoot DB is the database of the EURoot project "Enhancing resource uptake from roots under stress in cereal crops". It manages information on QTLs, genes and mutants involved in root growth under stress (drought, low N or low P) in barley, durum wheat, maize and rice. This project funded by the European Comission and coordinated by CIRAD began on 1 January 2012 and ended on 31 December 2015. It was the topic KBBE.2011.1.2-05 - Root signalling, growth and development under abiotic stress conditions of the FP7-KBBE - Specific Programme "Cooperation": Food, Agriculture and Biotechnology. 19 Participants from various jeuropean countries were involved in this project. The IS has a database per plant and the files of this dataset were extracted from the EURoot RICE database in tabulated text format. There is a file for each type of data which name includes the data type. Each line of a file has several columns describing the study (title, description, year, country, place, contact). Genes can be found in the EUROOT_rice_markers‧txt file. All publications concerning this dataset are recorded in the EUROOT_rice_references‧txt.
Performance of phenomic selection in rice: effects of population size and genotype environment interactions on predictive ability

[Lien vers la fiche source] Les données présentes dans ce dataset correspondent aux données de phénotypage (160 variétés issues d'un panel de diversité mesurés pour 30 caractères différents essentiellement liés à la fixation d'azote), de génotypage (environ 30k SNP) et aux BLUPs des NIRS (faits sur grain et paille) utilisés lors de l'étude de l'évaluation de l'intérêt de la phénomique par rapport à la génomique sur un panel de diversité de riz dans un contexte multi environnement (2 années et 2 traitements azotés) à Madagascar.
Catalogue des données du ministère de la Culture

Le ministère de la Culture met à disposition son catalogue des données. Son périmètre couvre les données détenues par l’administration centrale, les services déconcentrés (DRAC : direction régionale des affaires culturelles) et les services à compétence nationale (SCN). Ce recensement propose la description des jeux de données, l’identification de la source, le contact, permettant à tout usager ou réutilisateur d’accéder à l’information si elle est déjà ouverte, ou d’en faire la demande dans le cas contraire. Le catalogue permettra ainsi au ministère, d’identifier les jeux de données les plus demandés, et en fonction des attentes exprimées, priorisera l’ouverture de ces jeux de données. Le catalogue liste les jeux de données et leurs métadonnées, mais ne donne pas accès aux données elles-mêmes, excepté pour les jeux de données déjà ouverts ou consultables (cf colonnes lien1 et lien2).
Meloidogyne genus OrthoFinder analysis

[Lien vers la fiche source] OrthoFinder 2.5.4 analysis of the predicted proteomes of M. incognita, M. luci, M. javanica, M. arenaria, M. hapla, M. chitwoodii and M. graminicola as well as those of the cyst nematodes Heterodera schachtii and H. glycines as outgroup species. OrthoFinder was run with the option MSA for construction of a multiple sequence alignment with MAFFT and phylogenetic trees with FastTree. OrthoFinder identified 2980 low-copy number and highly conserved orthogroups for the reconstruction of the species tree.
COVID-EMDA+ (Coronavirus Disease - Electricity Market Data Aggregation+)

This data hub, COVID-EMDA+ (Coronavirus Disease - Electricity Market Data Aggregation+), is specifically designed to track the potential impacts of COVID-19 on the existing U.S. electricity markets. Many different data sources are merged and harmonized here in order to enable further interdisciplinary researches. (https://github.com/tamu-engineering-research/COVID-EMDA) Publication: https://www.cell.com/joule/fulltext/S2542-4351(20)30398-6#%20 This data hub contains five major components: U.S. electricity market data, public health data, weather data, mobile device location data, and satellite images. For some categories, multiple data sources are carefully gathered to ensure accuracy. * Electricity Market Data includes the generation mix, metered load profiles and day-ahead locational marginal prices data. We also include the day-ahead load forecasting, congestion price, forced outage and renewable curtailment data as the supplementary source. (Link: [CAISO], [MISO], [ISO-NE], [NYISO], [PJM], [SPP], [ERCOT], [EIA], [EnergyOnline]) * Public Health Data includes the COVID-19 confirmed cases, deaths data, infection rate and fatal rate. We aggregate and fine-tune the data to market and city levels. (Link: [John Hopkins CSSE]) * Weather Data includes temperature, relative humidity, wind speed and dew point data. Typical weather stations are selected according to their geological locations and data quality. (Link: [Iowa State Univ IEM], [NOAA]) * Mobile Device Location Data includes social distancing data and patterns of visits to Point of Interests (POIs). These data are derived by aggregating and processing the real-time GPS location of cellphone users by Census Block Group. To obtain the access to the original data, please click the link below and apply for SafeGraph's permission (totally free). (Link: [Mobility Data from SafeGraph]) * Night Time Light (NTL) Satellite Data includes the raw satellite image taken at night time in each area. (Link: [NTL Images from NASA]) The original data sources for the COVID-EMDA+ data hub are listed at https://www.cell.com/cms/10.1016/j.joule.2020.08.017/attachment/a9f9c743-1252-41f4-bba3-913f3b01aa5a/mmc1.pdf.
Localisation des établissements (Sirene)

### Ce jeu de données est une extraction du fichier SIRENE (Système Informatique pour le Répertoire des Entreprises et de leurs Etablissements) de l'Insee. ### ### il contient tous les établissements du Sicoval répertoriés au fichier Sirene auxquels ont été enlevées les SCI (code NAF = 6820B) ### ### Définitions : Conformément aux articles R.123-220 à R.123-234 du code du commerce, le répertoire Sirene enregistre l'état civil de toutes les entreprises et leurs établissements quelle que soit leur forme juridique et leur secteur d'activité (industriels, commerçants, artisans, professions libérales, agriculteurs, collectivités territoriales, banques, assurances, associations...) ### ### Une entreprise est une unité économique, juridiquement autonome, organisée pour produire des biens ou des services pour le marché. ### ### Un établissement est une unité de production géographiquement individualisée, mais juridiquement dépendante de l'entreprise.
Hyperdominance and habitat composition drive reef fish foraging on Atlantic oceanic islands

[Lien vers la fiche source] Spatial and temporal patterns of benthic community structure play a crucial role in shaping reef habitats and have a direct impact on fish foraging dynamics, alongside density-dependence effects on the whole community. In isolated oceanic islands, the relatively low fish species richness often leads to the hyperdominance of a few species and a general reduced trophic redundancy. However, the influence of benthic habitat features and hyperdominant species on foraging selection in oceanic islands has been largely overlooked. This study aimed to investigate, using Remote Underwater Videos (RUVs), whether reef fishes consistently forage on specific habitats across five different oceanic islands in the Atlantic Ocean, especially focusing on the importance of the role of hyperdominant species. We analysed 295 RUVs, within 2m2 areas (3-15 m deep), totalling 49 hours of video. Photoquadrats were utilised to gauge benthic group coverage in the same habitats. Our results revealed five prevalent habitats and six fish trophic groups interacting with reef benthos. The intensity of feeding pressure varied across islands, depending on the diversity of habitats. Herbivores and omnivores exhibited the highest feeding pressure, with omnivores foraging on crustose coralline algae and macroalgae habitats, while herbivores primarily fed on habitats dominated by the epilithic algal matrix. Hyperdominant species forage in multiple habitats, indicating a comparatively high degree of dietary plasticity. Our findings also demonstrated that fish feeding pressure is influenced by both habitat features and fish biomass. Therefore, our study can provide valuable insights for prioritising the management of key species in isolated oceanic reefs.
Modeled distribution map of Solenosmilia variabilis reef in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Solenosmilia variabilis reef assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of Solitary Scleractinian fields in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Solitary Scleractinian fields assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the north-east Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of Sea pens and burrowing megafauna in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent, and Random Forest ensemble) predicting the distribution of Sea pens and burrowing megafauna assemblages in the Northeast Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image samples. Modeling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of discrete Lophelia pertusa colonies in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of discrete Lophelia pertusa - Desmophylum pertusum colonies assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image samples. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of mixed cold-water coral community in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (Random Forest) predicting the distribution of mixed cold-water coral community (Coral Garden) assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of Acanella arbuscula assemblage in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Acanella arbuscula assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
Modeled distribution map of Syringammina fragilissima fields in the North East Atlantic in 2021

[Lien vers la fiche source] Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Syringammina fragilissima fields assemblage in the North East Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.