AndreaBozzo/ceres-open-data-index huggingface dataset:
SEIFA21 Economic Resources Index (SA2) ABS 2021

The Census 2021 Economic Resources Index for SA2 data. Socio-Economic Indexes for Areas (SEIFA) in Australia are comprehensive measures that provide insights into the well-being of communities across the country. Developed by the Australian Bureau of Statistics (ABS), SEIFA indices compile census data to evaluate various socio-economic factors, including income, education, employment, and housing conditions. These indices rank areas in Australia according to their relative socio-economic advantage and disadvantage, offering a detailed snapshot that helps identify the varying levels of social and economic well-being in different regions. This crucial data assists government bodies, policymakers, and community organisations in understanding disparities across different areas, enabling them to tailor services, allocate funding, and develop initiatives that address specific community needs, ultimately aiming to enhance the quality of life and reduce inequalities across different Australian locales. For further details on how ABS curates these indices please visit: [Socio-Economic Indexes for Areas (SEIFA): Technical Paper, 2021 | Australian Bureau of Statistics (abs.gov.au)]
SEIFA21 Education and Occupation Index (SA2) ABS 2021

The Census 2021 Education and Occupation Index for SA2 data. Socio-Economic Indexes for Areas (SEIFA) in Australia are comprehensive measures that provide insights into the well-being of communities across the country. Developed by the Australian Bureau of Statistics (ABS), SEIFA indices compile census data to evaluate various socio-economic factors, including income, education, employment, and housing conditions. These indices rank areas in Australia according to their relative socio-economic advantage and disadvantage, offering a detailed snapshot that helps identify the varying levels of social and economic well-being in different regions. This crucial data assists government bodies, policymakers, and community organisations in understanding disparities across different areas, enabling them to tailor services, allocate funding, and develop initiatives that address specific community needs, ultimately aiming to enhance the quality of life and reduce inequalities across different Australian locales. For further details on how ABS curates these indices please visit: [Socio-Economic Indexes for Areas (SEIFA): Technical Paper, 2021 | Australian Bureau of Statistics (abs.gov.au)]
SEIFA21_RelativeSocioEconomic_Index (SA2) ABS 2021

The Census 2021 Relative Socio-Economic Index for SA2 data. Socio-Economic Indexes for Areas (SEIFA) in Australia are comprehensive measures that provide insights into the well-being of communities across the country. Developed by the Australian Bureau of Statistics (ABS), SEIFA indices compile census data to evaluate various socio-economic factors, including income, education, employment, and housing conditions. These indices rank areas in Australia according to their relative socio-economic advantage and disadvantage, offering a detailed snapshot that helps identify the varying levels of social and economic well-being in different regions. This crucial data assists government bodies, policymakers, and community organisations in understanding disparities across different areas, enabling them to tailor services, allocate funding, and develop initiatives that address specific community needs, ultimately aiming to enhance the quality of life and reduce inequalities across different Australian locales. For further details on how ABS curates these indices please visit: [Socio-Economic Indexes for Areas (SEIFA): Technical Paper, 2021 | Australian Bureau of Statistics (abs.gov.au)]
Hierarchical benthic habitat classification in the Atlantic Ocean

[Lien vers la fiche source] Classification of the Atlantic Ocean seabed into broad-scale benthic habitats employing a hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. For ease of use, a layer is provided for each level. Level 1 has 4 classes. Level 2 has 15 classes nested within level 1. Layers indices are 2 digits (1[level1 class index]1[level 2 class index]). Level 3 has 157 classes nested within level 2 and class names have 4 digits (1digit[level1 class index]1[level 2 class index]2[level 3 class index]). Note that the classification was performed for the whole world and thus it has more classes than in the presented layer.
Non-Hierarchical habitat classification in the Atlantic Ocean

[Lien vers la fiche source] Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).
Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2,000m depth) using Generalized Additive Models

[Lien vers la fiche source] We developed predictive distribution models of deep-sea elasmobranchs for up to 2000 m depth in the Azores EEZ and neighboring seamounts, from approximately 33°N to 43°N and 20°W to 36°W. Georeferenced presence, absence, and abundance data were obtained from scientific surveys and commercial operations reporting at least one deep-sea elasmobranch capture. A 20-year 'survey dataset' (1996-2017) was compiled from annual scientific demersal surveys using two types of bottom longlines (types LLA and LLB), and an 'observer dataset' (2004-2018) from observer programs covering commercial fisheries operations using bottom longline (similar to type LLA) and vertical handline ('gorazeira').
Long-term Ecological Monitoring Research Brazilian Oceanic Islands (reef fish)

[Lien vers la fiche source] PELD-ILOC (Long Term Ecological Research of Brazilians Oceanic Islands) is a network of Brazilian scientists from several universities and organizations engaged in long-term ecological research of marine biodiversity on the four Brazilian oceanic islands. The network unites researchers to monitoring the marine wildlife all around the St. Peter and St. Paul’s Archipelago, Fernando de Noronha Archipelago, Rocas Atoll and Trindade Island and Martin Vaz Archipelago since 2013. Gaining these long-term knowledge, PELD-ILOC plays a fundamental role in understanding oceanic islands ecosystems and thereby provide the prerequisites for knowledge-based solutions to many current and future environmental problems.
process of information integration in old people with dementia: impact of Physical Activity

[Lien vers la fiche source] Physical activity enhances cognitive performance and reduces the progression of dementia symptoms (Liu et al., 2020; Swinnen et al., 2021; Henskens et al., 2018). The aim of this research is to investigate the impact of physical activity on the judgment processes of older people with dementia. The aim is to assess the effect of physical activity on their information integration abilities. Three groups of old people participated in this study. An "active" group, consisting of older people with dementia (N=9), received three "throwing training" sessions per week. An "inactive" group, also comprising old people with dementia (N=7), did not engage in any physical activity. Healthy old people (N=13) formed the control group who conducted the assessment only once at T0 (0 months) to obtain baseline results. At 3-month intervals, using a judgment scale, the judgment of success in throwing tasks combining three pieces of information (in cognito) was assessed for the two other groups. The same scenarios were presented in real-life conditions (in vivo) to the "active" group, who performed these throws. Comparative statistical analyses were conducted at T0, T3, and T6. The study revealed a difference in judgment processes between old people with dementia and healthy old people. It also demonstrated a difference in judgment processes between old people with dementia who received physical activity and those who did not. Training in real-life throwing scenarios (in vivo) facilitated information integration in the judgment task (in cognito). Physical practice positively affects judgment processes. It preserved information integration ability in old people with dementia.
Dé mo kat jé

[Lien vers la fiche source] Ce livret de jeux a été conçu en collaboration avec les élèves de l’école Boisvin au Moule (Guadeloupe) et leur enseignante dans la cadre du projet EVOLUM - EVOLUtion des représentations et Perception du changement des Mangroves - porté par les OHM Littoral Caraïbe et Oyapock et financé par le LabEx DRIIHM. Il est composé de multiples activités accessibles dès le CE1 autour de la thématique des mangroves. Chaque activité (puzzle, mots croisés, mots mêlés, etc.) est réalisable indépendamment des autres. Ce livret est en créole guadeloupéen et téléchargeable au format PDF.
Dataset on the effect of organic farming on microbial and macrofaunal litter decomposition in banana fields

[Lien vers la fiche source] [FR] Données d'une expérience de terrain dans les agroécosystèmes bananiers de la Martinique (Petites Antilles). Six bananeraies biologiques et six bananeraies conventionnelles situées dans deux zones bioclimatiques de l'île ont été étudiées. Pour mesurer la contribution microbienne et de la macrofaune à la décomposition, 264 sacs de litière à petites et grandes mailles ont été placés et laissés sur le terrain pendant trois mois. La composition chimique ainsi que la décomposition de litière de feuilles de bananier contaminée par le glyphosate et de litière de feuilles de bananier sans glyphosate a été étudiée. Les caractéristiques biotiques (couverture végétale, abondance et composition de la macrofaune détritivore) et abiotiques (variables microclimatiques) ont également été mesurées. [EN] Data from a field experiment in the banana agroecosystems of Martinique (Lesser Antilles). Six organic and six conventional banana plantations located in two bioclimatic zones of the island were studied. To measure the microbial and macrofaunal contribution to decomposition, 264 bags of small- and large-mesh litter were placed and left in the field for three months. The chemical composition and decomposition of glyphosate-contaminated and glyphosate-free banana leaf litter were studied. Biotic (plant cover, abundance and composition of detritivorous macrofauna) and abiotic (microclimatic variables) characteristics were also measured.
Scripts used for data analyzing in the manuscript: “Unraveling genetic load dynamics during biological invasion: insights from two invasive insect species”

[Lien vers la fiche source] The scripts were used for data analyzing in the manuscript: “Unraveling genetic load dynamics during biological invasion: insights from two invasive insect species” Authors: Eric Lombaert, Aurélie Blin, Barbara Porro, Thomas Guillemaud, Julio S. Bernal, Gary Chang, Natalia Kirichenko, Thomas W. Sappington, Stefan Toepfer and Emeline Deleury The scripts were used on pool-seq data. Raw reads have been deposited in Sequence Read Archive, National Center for Biotechnology Information, under BioProject PRJNA1079689: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1079689 The scripts allow (i) trimming and mapping of raw reads, (ii) calling of SNP polymorphisms across multiple populations, (iii) annotation of SNPs, (iv) polarisation of alleles, and (v) comparison of genetic load between different populations. The scripts were successfully executed on a Debian 9.13 system with a Linux kernel version 4.9.0-7-amd64. The processor used was an Intel(R) Xeon(R) CPU E7540 at 2.00GHz, featuring 24 physical cores and 48 threads across 4 sockets. The machine had 128 GB of RAM and utilized a 2 TB hard drive for storage. Running all the scripts with this configuration takes one to several weeks. The main software used by the various scripts are: FastQC v0.11.5 (Andrews, 2010), Trimmomatic v0.35 (Bolger et al., 2014), bwa-mem v0.7.15 (Li, 2013), SAMtools v1.15.1 (Li et al., 2009), freebayes v1.3.6 (Garrison & Marth, 2012), bcftools v1.13 (Danecek et al., 2021), SnpEff v5.0 (Cingolani et al., 2012), est-sfs v2.03 (Keightley & Jackson, 2018) and R v4.2.2 (R Core Team, 2021). All the provided scripts have been executed for Diabrotica virgifera virgifera. The numbering at the beginning of each script is intended to facilitate chronological use.
ORRSO Outil de recherche de ressources en science ouverte

[Lien vers la fiche source] ORRSO est un moteur de recherche qui, via un formulaire, permet d'accéder à un catalogue de ressources pédagogiques en science ouverte adaptées aux besoin d'information/formation des chercheurs du Dispositif de Recherches Interdisciplinaires sur les Interactions Hommes-Milieux (LabEx DRIIHM) du CNRS Écologie & Environnement. ORRSO a été imaginé afin de guider les chercheurs du DRIIHM dans la profusion des supports de formation et d’information déjà proposés par les universités et organismes de recherches sur les divers principes de la science ouverte (cadre juridique, PGD, PID, DataPaper, …). Développé depuis 2022, la version beta de l’outil repose sur un premier recueil non exhaustif de 300 ressources pédagogiques, collectées auprès de certains producteurs de ressources de l’enseignement supérieur et de la recherche.
Genomic prediction in upland rice for aluminum tolerance in Latin America

[Lien vers la fiche source] This data set contains a phenotypic information collected on a population of 334 S0:4 families extracted from synthetic population managed through recurrent selection and phenotyped in Colombia in 2020. The traits were recorded in two soil conditions (ALU: the naturally aluminum toxic soil condition, and LIM: after liming to correct the toxicity). The genotypic data was obtained on 334 S0 plants by GBS (Mse1 and Pst1) after imputation and ended in a set of 9928 SNPs.
Coastal Cabo Frio Upwelling Plankton community analyzed with FlowCam

[Lien vers la fiche source] Plankton assemblages were surveyed using standard nets (WP2) in a fixed station in the Cabo Frio upwelling region (Brazil). Plankton samples were taken with 100um at sub-surface (~1 meter) and analyzed with flowcam. The parameters measured were: Temperature, Salinity, Depth, Extracted Chl-a, Dissolved Oxygen, Zooplankton taxonomy, Phytoplankton abundance, Femtoplankton, Picoplankton abundance. The sampling devices used were WP2 nets and Niskin bottles.
Questionnaire projet GéOyapock

[Lien vers la fiche source] Le projet GéOyapock a pour ambition d’assurer l’observation et l’analyse diachronique des mobilités transfrontalières sur l’hydro-système Oyapock. Les objectifs du projet sont triples : 1) administrer une enquête en 2021, dans la continuité de celles menées en 2015/17/19, afin de mieux comprendre l’évolution des dynamiques de mobilité sur ce territoire à enjeux ; 2) engager un changement d’échelle dans l’analyse des mobilités en étudiant les déplacements Est-Ouest (d’une rive à l’autre) mais aussi les déplacements Nord-Sud (amont/aval) pour porter un regard plus global sur les trajectoires de mobilité ; 3) développer un prototype d’infrastructure de données qui permette d’une part, de concevoir et d’implémenter une base de données et une interface de saisie des enquêtes et d’autre part, de construire une plateforme Internet de diffusion et de valorisation des résultats (rapports, publications, données, visualisations). Tout en développant une réflexion théorique sur les trajectoires de mobilité à l’échelle de l’hydro-système, ce projet s’inscrit dans la continuité des travaux conduits par l’OHM Oyapock et la DEAL Guyane sur les flux de pirogues. Il est pensé en pleine adéquation avec le projet ANR SO-DRIIHM qui vise à promouvoir les sciences ouvertes au sein du réseau des OHM. Le prototype d’infrastructure de données pourrait servir de cas pilote en s’appuyant sur une architecture interopérable favorisant la diffusion des résultats. Les enjeux de GéOyapock sont donc à la fois méthodologiques (développement d’une infrastructure interopérable de données de la recherche avec expérimentation de (géo-)visualisations innovantes des flux) et théoriques (analyse géographique et multi-échelle des mobilités transfrontalières).
Éduc'OHM - Mangroves

[Lien vers la fiche source] Ce livret pédagogique est composé de 9 séquences pédagogiques à destination du cycle 4 sur la thématique des mangroves. En s’appuyant sur des formats variés (expérience, analyse de graphiques, identification d’espèces, etc.), il invite les élèves à développer et approfondir des compétences et connaissances multiples autour de cet écosystème unique et fragile. Basé sur des résultats de la recherche scientifique, les notions qui y sont abordées permettent d’identifier les composantes et le fonctionnement des mangroves, de comprendre l’impact du changement climatique et de l’empreinte humaine mais aussi de traiter des représentations sociales de ce milieu. Il s’inscrit dans le cadre du projet Educ'OHM Mangroves lancé en 2020 par le LabEx DRIIHM (ANR-11-LABX-0010). Il comprend un volet dédié à l’éducation à l’environnement et au développement durable visant à favoriser l’éducation par la recherche grâce à la mobilisation de l’OHM Littoral Caraïbe et de structures d’éducation guadeloupéennes.
Herriko Ogia - Périmètres de l'appellation blé Herriko ogia

Herriko Ogia - Périmètres de l'appellation blé Herriko ogia Information sur l'évolution de l'association Herriko Ogia Données brutes transmises par l'association Herriko Ogia puis travaillées et mises au propre par la CAPB. Site officiel: [https://herriko.fr/]
Herriko Ogia - Localisation Boulangerie / Minoterie

# Herriko Ogia - Localisation Boulangerie / Minoterie Information sur l'évolution de l'association Herriko Ogia Données brutes transmises par l'association Herriko Ogia puis travaillées et mises au propre par la CAPB. Site officiel: [https://herriko.fr/]
Herriko Ogia - Localisation des exploitations à l'échelle communale

# Herriko Ogia - Localisation des exploitations à l'échelle communale Information sur l'évolution de l'association Herriko Ogia Données brutes transmises par l'association Herriko Ogia puis travaillées et mises au propre par la CAPB. Site officiel: [https://herriko.fr/]
Replication data for the article: "Deciphering autism heterogeneity: a molecular stratification approach in four mouse models" (Gora et al.)

[Lien vers la fiche source] This dataset includes all data and R code to reproduce the analyses and graphics presented in the article "Deciphering autism heterogeneity: a molecular stratification approach in four mouse models". GORA C., DUDAS A., VAUGRENTE O., DROBECQ L., PECNARD E., LEFORT G. and PELLISSIER L. P. Data are available either as separate csv files.
[BETA] Informations grand public pour la valorisation des équipements publics - Orléans Métropole

VERSION BETA Ce jeu de données liste différentes informations utiles à la valorisation des équipements publics du territoire orléanais. Il est en cours de constitution. Il est en particulier utilisé pour nourrir la page de visualisation des équipements, accessible à partir de la page d'accueil du portail (rubrique équipements publics)
RPG complété 2022 Région Bretagne

[Lien vers la fiche source] RPG complété 2022. Complète le RPG campagne 2022 pour les départements de la région Bretagne (22, 29, 35, 56). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2024.
Viewing food cues

[Lien vers la fiche source] This dataset allows to explore how spatial resolution influences activations elicited when appetizing food pictures are viewed. Twenty subjects were imaged at 3 T with two different voxel volumes, 3.4 μl (highres) and 27 μl (lowres). For each voxel volume, the stimulation paradigm consisted of alternating 18 blocks presenting, in a randomized order, either ready-to-eat edible objects, or pictures of items that were clearly unrelated to food. 54 different pictures were selected for each of the food-related and nonfood-related blocks. The food images depicted savory and sweet meals commonly served at breakfast, lunch and dinner. Images were presented to each of the subjects in randomized order. After the fMRI session, all the participants were asked to rate each picture showing food for motivational salience on a 7-point scale (0: extremely repulsive; 1: very repulsive; 2: quite repul- sive; 3: neutral; 4: quite appetizing; 5: very appetizing; 6: extremely appetizing). The mean ± SD of these post-scanning ratings was 4.5 ± 1.2, significantly higher than 4 (paired Student’s t-test: t (54) = 12.2, p < 0.001), thus indicating that our subjects rated the pictures showing food as significantly appetizing. The acquisition methodology is more deeply described in the following articles: Iranpour J, Morrot G, Claise B, Jean B, Bonny J-M (2015) Using High Spatial Resolution to Improve BOLD fMRI Detection at 3T. PLoS ONE 10(11): e0141358. doi:10.1371/journal.pone.0141358
French Crop Usage Thesaurus

[Lien vers la fiche source] Les sources utilisées sont le registre parcellaire, le larousse agricole, wikipédia, le catalogue officiel des espèces et variétés de plantes cultivées en France du GEVES, les fiches "les plantes fourragères pour les pairies" du GNIS, la base Ephy, la liste des cultures à utiliser pour renseigner le descriptif des parcelles et les statistiques agricoles annuelle de l'Agreste. Concernant les légumes et leur classification nous avons cherché les points communs entre plusieurs sources: Wikipedia, Bonduelle, FranceAgriMer, Encyclopedia Universalis, AM Nagelseim, la ferme du Bec Hellouin. A notre qu'il n'existe pas de consensus sur la classification des légumes. Cette classification est utilisée pour organiser les Bulletins de Santé du Végétal (BSV) et les fiches GECO. Cette classification n'est pas complète et aura besoin d'évoluer au cours du temps en fonction des besoins. L'auteur est catherine roussey de l'INRAE catherine.roussey@inrae.fr
Transcriptomic dataset for investigating the drought-stress response and recovery in young and early senescent-old leaves from Brassica napus

[Lien vers la fiche source] RNA-seq dataset consisting of 45 samples of Brassica napus leaves from plants (three leaf developmental stages) grown under different soil humidity levels. RNA samples were sequenced at Genewiz/Azenta, NGS Lab, Germany. RNA sequencing libraries were prepared using the NEBNext Ultra II RNA Library Prep Kit for Illumina. Sequencing was performed using the Illumina NovaSeq 6000 Sequencing System, which generated an average of 60.19 millions of 2x150 bp paired-end reads per sample. These data will contribute to improve our knowledge of plant responses to abiotic stresses and more specially under various hydrations levels. This study provides insights into the molecular mechanisms underlying the response of oilseed rape to soil drought, which can support the development of drought-resistant cultivars.