AndreaBozzo/ceres-open-data-index huggingface dataset:
Escherichia coli, stanol, and total suspended sediment concentrations at the outlet of a ditch draining sewage and surface runoff out of a village, Northern Lao PDR (2016)

[Lien vers la fiche source] This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal CatchmentS (SNO M-TROPICS; https://mtropics.obs-mip.fr/) critical zone observatory (previously MSEC). This .csv dataset includes Escherichia coli concentrations (MPN 100 mL-1) with upper and lower limits of the confidence interval, in both the raw and the filtered water (3 µm), and stanol concentrations (coprostanol, epicoprostanol, cholestanol, 24-ethylcoprostanol, 24-ethylepicoprostanol, campestanol, and sitostanol; in µg/g and in %) measured in dry suspended sediment at the outlet of the ditch draining sewage and surface runoff out of the Laksip village, Northern Lao PDR (station BLS; LAT: 19.848421; LONG: 102.168295), from July to August 2016. The dataset also includes water level (m), discharge (L s-1), and total suspended sediment concentration (g L-1). The authors acknowledge the financial support of the Institut de Recherche pour le Développement (IRD), including for the postdoctoral grant 2016-2017 of Laurie Boithias (Accueil de post-doctorants / Campagne 2015), and of the French National Research Agency (TecItEasy project ANR-13-AGRO-0007).
Hourly Consumption by Postal Code (4551 to 4770)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out. Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf) Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended. In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain. 2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.
Hourly Consumption by Postal Code (4771 to 5200)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out. Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf) Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended. In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain. 2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.
Hourly Consumption by Postal Code (5201 to 7400)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out. Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf) Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended. In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain. 2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.
Hourly Consumption by Postal Code (7401 to 8970)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out. Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf) Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended. In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain. 2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.
Hourly Consumption by Postal Code (Others)

This DataSet is built based on load diagrams collected by smart meters. In cases where there are still no meters capable of carrying out these collections, or there is difficulty in communicating with them, a profile of consumption is carried out. Consult here the document that systematizes the estimation methodology of the different profiles. (https://www.e-redes.pt/sites/eredes/files/2021-08/DocMetodologico_Perfis.pdf) Due to the high volume of data, this dataset presents information regarding a period of thirty days, in a sliding window model, with no history conservation. For a longer temporal analysis, regular data extractions are recommended. In accordance with the General Data Protection Regulation (GDPR), it is necessary to aggregate postal codes, which are not available individually, into the "OUTROS" set. 1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain. 2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES to obtain updated information.
Stationnement vélo Paris 2024 sites olympiques – territoire parisien

Ce jeu de données contient les emplacements de stationnement vélo à proximité des sites de compétition Paris 2024 sur le territoire de la ville de Paris. Ces parkings vélo sont gardiennés. Ils sont activés les jours de session olympique. Chaque parking contient plusieurs centaines de places et est ouvert à tous. Des emplacements sont prévus pour les vélos en freefloating. Le dispositif de stationnement permet l’accroche sécurisée des vélos en 2 point fixes. Le gardiennage des parkings vélo n’intègre pas de consignes pour les casques et batteries de vélo. Voir également : [Réseau cyclable principal RCO Paris 2024– territoireparisien]
Production Quotidienne Consolidée de Biométhane sur le réseau de transport et de distribution par Opérateur

Ce jeu de données représente la production quotidienne de biométhane par opérateur. Ces données sont des données redressées/corrigées et représente la meilleure vision de la production des sites. Les valeurs des mois précédentes peuvent donc être corrigées à postériori. Pour des raisons d'ICS, les données des opérateurs peuvent être regroupées entre eux ou certaines données non affichées (ex. données Teréga à partir de juin 2021). Les données sont mises à jour tous les 15-20 du mois.
NIRS Database on fresh grated cassava for softness at NaCRRI, Uganda

[Lien vers la fiche source] Cassava root softness is one of the important consumer acceptability traits for boiled root cassava product. Thus determination of fresh root softness using relevant phenotyping tools makes it possible to select cassava varieties with preferred farmer attributes. The fresh grated cassava for softness database was created out of the RTB clones established at NaCRRI. The samples constituting this database were harvested in 2019 where 58 genotypes were considered. The database is powered by the standard operating procedure on acquiring spectra from fresh grated roots using the FOSS DS2500 equipment. Given logistical and technical constraints, the database consists of 36 of the 58 genotypes RTB panel genotypes. Spectra from these genotypes were obtained from fresh grated immediately after harvest. At the same time, reference information related to the softness of the root was generated using a penetrometer and texture analyzer. Calibration on the same showed weaker association of the trait (r<0.4) with spectra acquired. This shows that relevant adjustments in methodologies to acquire spectra and number of clones used are needed to fully determine the potential of NIRS to determine root softness in cassava.
NIRS Database on fresh blended Yam for good and bad genotypes for pounded yam at IITA, Nigeria

[Lien vers la fiche source] The database of good and bad yam genotypes consists of a total of 200 spectra data collected using the bench top Near Infrared Spectrometer with serial number 3013-0857. The spectra comprise 50 ascensions of Discorea roundata and 50 of Discorea alata that were scanned in duplicate. The Spectra data were collected in IITA, Nigeria in the year 2019/2020. The yam samples were blended using a laboratory Warren Blender and then filled into the coarse cup of the NIRS machine for spectra collection.
Wahlräume - Landtagswahl 2022

Wahlräume zur Landtagswahl 2022. Die Stimmbezirksgrenzen gelten ab der Kommunalwahl 2020. Stimmbezirke heißen bei Bundestags- und Europawahlen Wahlbezirke. Hinweis zur Einteilung der Briefwahlbezirke Die Zuordnung der Briefwahlbezirke zu Wahl- oder Stimmbezirken unterscheidet sich bei jeder Wahl. Das Briefwahlergebnis eines Briefwahlbezirks kann grundsätzlich mehreren zugewiesenen Wahlbezirken zugeordnet werden. Eine räumlich zusammenhängende Auswertung ist nur auf der Ebene der Bundestagswahlkreise, Landtagswahlkreise und der Stadtbezirke möglich.
Emplacements des panneaux électoraux – Elections législatives – 30 juin et 7 juillet 2024

En application des dispositions des articles L.51 et R.28 du code électoral, les candidats doivent pouvoir disposer à compter de la date du début de la campagne officielle - fixée au 18 juin pour le scrutin des élections législatives des 30 juin et 7 juillet de panneaux réservés à leur affichage. La Ville de met à disposition des candidats 540 emplacements dont les localisations sont précisées, pour chacun des 17 secteurs, dans les fichiers correspondants, avec la mention de chacune des 18 circonscriptions de Paris.
Supplementary data - Genomic and phenomic predictions help capture low-effect alleles promoting seed germination in oilseed rape in addition to QTL analyses

[Lien vers la fiche source] This dataset corresponds to the Supplementary data, to the BLUEs of phenotypic data, as well as to the raw NIRS and genotypic data attached to the original article 'Combining QTL detection with genomic and phenomic predictions to capture favorable alleles involved in seed germination in oilseed rape (Brassica napus L.)'. This dataset contains the five following files: Readme.docx, ESM.xlsx, Phenotypes.csv, Genotypes.csv and NIRS.csv.
Dumont D'Urville sea abiotic and physical parameters and Jupyter notebook

[Lien vers la fiche source] The Dumont D’Urville sea located off George V and Adélie Land, is one of the better known East-Antarctic marine areas displaying a diversity of abiotic and physical parameters that have been shown to drive the distribution of marine organisms. The dataset presented here contributes to our understanding of these interactions, providing essential information for ongoing research and conservation efforts in this Antarctic ecosystem. This dataset presents a table containing abiotic and physical parameters specific to the Dumont D’Urville Sea and a Jupyter notebook to execute a R script in the ecoregionalization Galaxy workflow. The abiotic and physical parameters were first presented in the research article 'Predicting habitat preferences for Anthometrina adriani (Echinodermata) on the East Antarctic continental shelf' by Hemery et al. (2011). The jupyter notebook is dedicated to the pivot_wider function from the tidyr R package. This notebook is the final part of the data preparation for the ecoregionalization Galaxy workflow.
Données opératives issus des enquêtes auprès des producteurs maraîchers urbains et périurbains de la Côte d'Ivoire, 2022

[Lien vers la fiche source] Les données obtenues à partir d'enquêtes chez plus de 400 producteurs maraîchers d'Abidjan, Yamoussoukro, Bouaké et Korhogo, en Côte d'Ivoire, représentent les détails opératifs des fermes maraîchères, ainsi que 800 itinéraires techniques (ITK) individuels. Ces données permettront de conduire des analyses environnementales à travers l'Analyse de Cycle de Vie, ainsi que des analyses socio-économiques.
Plan Local d'Urbanisme de Saint-Nazaire Agglomération 2020 - Prescriptions ponctuelles

Outre le zonage réglementaire (Zonage PLUI de la CARENE), les documents graphiques font apparaître un certain nombre de prescriptions faisant l'objet d'une représentation graphique: secteurs à diversité commerciale, espaces boisés classés, emplacements réservés, secteurs à densité minimale de construction, terrains cultivés à protéger, secteurs avec taille minimale de logements, secteurs de majoration de constructibilité, etc. Saint-Nazaire Agglomération - la CARENE (Trignac, Besné, La Chapelle-des-Marais, Donges, Montoir-de-Bretagne, Pornichet, Saint-André-des-Eaux, Saint-Joachim, Saint-Malo-de-Guersac, Saint-Nazaire).
Plan Local d'Urbanisme de Saint-Nazaire Agglomération 2020 - Zonage

Le zonage est décrit dans le code de l'urbanisme sur la base d’une partition stricte, sans intersection possible, dans les quatre types de zones (urbaine, à urbaniser, agricole, naturelle et forestière). Ce fichier couvre l'ensemble du territoire Saint-Nazaire Agglomération pour 2020. Saint-Nazaire Agglomération - la CARENE (Trignac, Besné, La Chapelle-des-Marais, Donges, Montoir-de-Bretagne, Pornichet, Saint-André-des-Eaux, Saint-Joachim, Saint-Malo-de-Guersac, Saint-Nazaire).
Plan Local d'Urbanisme de Saint-Nazaire Agglomération 2020 - Prescriptions linéaires

Outre le zonage réglementaire (Zonage PLUI de la CARENE), les documents graphiques font apparaître un certain nombre de prescriptions faisant l'objet d'une représentation graphique: secteurs à diversité commerciale, espaces boisés classés, emplacements réservés, secteurs à densité minimale de construction, terrains cultivés à protéger, secteurs avec taille minimale de logements, secteurs de majoration de constructibilité, etc. Saint-Nazaire Agglomération - la CARENE (Trignac, Besné, La Chapelle-des-Marais, Donges, Montoir-de-Bretagne, Pornichet, Saint-André-des-Eaux, Saint-Joachim, Saint-Malo-de-Guersac, Saint-Nazaire).
Plan Local d'Urbanisme de Saint-Nazaire Agglomération 2020 - Informations surfaciques

Outre le zonage réglementaire (Zonage PLUI de la CARENE), les documents graphiques font apparaître un certain nombre de prescriptions faisant l'objet d'une représentation graphique: secteurs à diversité commerciale, espaces boisés classés, emplacements réservés, secteurs à densité minimale de construction, terrains cultivés à protéger, secteurs avec taille minimale de logements, secteurs de majoration de constructibilité, etc. Saint-Nazaire Agglomération - la CARENE (Trignac, Besné, La Chapelle-des-Marais, Donges, Montoir-de-Bretagne, Pornichet, Saint-André-des-Eaux, Saint-Joachim, Saint-Malo-de-Guersac, Saint-Nazaire).
Plan Local d'Urbanisme de Saint-Nazaire Agglomération 2020 - Prescriptions surfaciques

Outre le zonage réglementaire (Zonage PLUI de la CARENE), les documents graphiques font apparaître un certain nombre de prescriptions faisant l'objet d'une représentation graphique: secteurs à diversité commerciale, espaces boisés classés, emplacements réservés, secteurs à densité minimale de construction, terrains cultivés à protéger, secteurs avec taille minimale de logements, secteurs de majoration de constructibilité, etc. Saint-Nazaire Agglomération - la CARENE (Trignac, Besné, La Chapelle-des-Marais, Donges, Montoir-de-Bretagne, Pornichet, Saint-André-des-Eaux, Saint-Joachim, Saint-Malo-de-Guersac, Saint-Nazaire).
Data of Pinus pinaster root architecture after outplanting: 3D-digitised root systems of 284 saplings aged three to five years from seed

[Lien vers la fiche source] Planting is a widespread propagation technique, even for long-life woody plants. Yet, cultivation in containers and outplanting can cause root deformations and subsequently alter anchorage. We set up an original method to characterise the root deformations and their relationships with anchorage in 3D-digitised root systems of 1-m tall saplings. We applied this method to 236 three- to five-year-old outplanted Pinus pinaster saplings first reared in containers with vertical slits and ribs from 15 commercial planted stands, and to 48 saplings from a control seeded-in-place stand. The data set contains the root characteristics of the 284 saplings.
Head length (HL) and total length (TL) measurements on 17 crocodylian species ( 7,368 measuerments))

[Lien vers la fiche source] The database include compiled 7,368 Head Lenght (HL) and Total Lenght (TL) measured from captured individuals of 17 different crocodylian species: Alligator mississippiensis (USA (Florida): 1 650, USA (Georgia): 744), Caiman crocodilus (Brazil: 459), Crocodylus acutus (Belize: 259, Mexico (Atlantic): 493, Mexico (Pacific): 154), Crocodylus intermedius (Venezuela: 403), Crocodylus john-stoni (Australia: 588), Crocodylus moreletii (Belize: 390, Mexico: 207), Crocodylus niloticus (Egypt: 65, Gabon: 20, South Africa: 228, Tanzania: 5, Uganda: 22), Crocodylus palustris (India: 23, Iran: 57), Crocodylus porosus (Australia: 370), Crocodylus rhombifer (Cuba: 196), Crocodylus suchus (Côte d’Ivoire: 24, Ghana: 37, Niger: 36, Uganda: 19), Gavialis gangeticus (India: 308, Nepal: 45), Mecistops leptorhynchus (Gabon: 159), Melanosuchus niger (Brazil: 104, Ecuador: 63), Osteolaemus tetraspis (Gabon: 106), Paleosuchus pal-pebrosus (Brazil: 149), and Paleosuchus trigonatus (Brazil: 87). Additional data: ID, Country, Localisation, Sex, Proprietary, Date
Sanitaires publics à Saint-Nazaire

Implantation des sanitaires publics sur le territoire nazairien, qu’ils soient propriété Ville ou Carene, qu’ils soient isolés sur l’espace public ou intégrés à un équipement public dès lors où ils sont en accès libre. Ces WC sont en grande majorités automatisés (accès sur horloge et auto nettoyant).