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Spanish results from the monitoring of pesticide residues in food
<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2022 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2021 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2020 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2019 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2018 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2017 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2016 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2015 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2014 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2013 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2012 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p>MOPER_2011 - Agencia Española de Consumo, Seguridad Alimentaria y Nutrición</p> <p> </p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>
TweetC19SR-Spa - Manually annotated dataset of Spanish language COVID-19 tweets containing self-reports of symptoms
<p><strong>In this work, we release two expert curated, manually annotated datasets of COVID-19 self-reported symptoms. The first dataset contains tweets in English and the second contains tweets in Spanish, both containing around 36,500 tweets in total. These datasets were used for the Sixth and Seventh Workshop on Social Media Mining For Health (2021 and 2022)</strong></p>
(Processed data) How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study: a descriptive study
<p>Processed data used in the article 'How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study', from the project Comscienciaeduspain (FCT-20-15761), executed with the collaboration of the Spanish Foundation for Science and Technology – Ministry of Science and Innovation.</p>
Vulnerability tools - Spanish Pyrenees (Spain)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for theSpanish Pyrenees Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Zero-Shot Information Extraction to Enhance a Knowledge Graph Describing Silk Textiles - English and Spanish neighborhood sub-graphs
<p>Two language-specific sub-graphs (English and Spanish) based on the ConceptNet Knowledge Graph. These two files are required to run the code for reproducing the results reported in the paper <a href="https://aclanthology.org/2021.latechclfl-1.16/">"Zero-Shot Information Extraction to Enhancea Knowledge Graph Describing Silk Textiles"</a> at the <a href="https://sighum.wordpress.com/events/latech-clfl-2021/">LaTeCH-CLfL 2021</a> workshop co-located with <a href="https://2021.emnlp.org/">EMNLP 2021</a>.</p>
Number of public and private hospitals and number of beds available in the spanish sanitary system in 1986
<p>Number of public and private hospitals and number of beds avaiable in the spanish sanitary system in 1986.</p> <p>Information about funding sources or sponsorship that supported the collection of the data: Financial support from the European Union, the European Regional Development Fund (ERDF), and Spain’s Ministry of Science and Innovation -State Research Agency- for the project entitled "The historical keys of hospital development in Spain and its international comparison during the twentieth century", Ref. RTI2018-094676-B-I00.</p>
Number of public and private hospitals and number of beds available in the spanish sanitary system in 1970
<p>Number of public and private hospitals and number of beds avaiable in the spanish sanitary system in 1970.</p> <p>Information about funding sources or sponsorship that supported the collection of the data: Financial support from the European Union, the European Regional Development Fund (ERDF), and Spain’s Ministry of Science and Innovation -State Research Agency- for the project entitled "The historical keys of hospital development in Spain and its international comparison during the twentieth century", Ref. RTI2018-094676-B-I00.</p>
Spanish SciELO Crawled Biomedical Corpus
<p>We present a corpus of Spanish medical articles extracted from the SciELO website (https://scielo.cl/). The corpus was constructed using web scraping extraction techniques and consists of 5694 articles published between 2002 and 2020 across 34 journals specialized in health and biology (specified below).</p> <p>Two variables of the corpus are presented here: the first contains the text without pre-processing, which makes it possible to adapt the corpus for different purposes. The second and third have been subjected to pre-processing, which is carried out with the NLTK library in Python and removes capital letters, accents, punctuation, and any non-alphanumeric symbols. In addition, the corpus was tokenized by sentences, obtaining a total of 500828 sentences and 13M tokens. In both cases, the articles are grouped by journal, in order of publication from most recent to oldest. These journals and their respective total of issues correspond to:</p> <ol> <li> <p>Acta bioethica (43 issues)</p> </li> <li> <p>Anales del Instituto de la Patagonia (31 issues)</p> </li> <li> <p>Andes pediatrica (3 issues)</p> </li> <li> <p>Biological Research (63 issues)</p> </li> <li> <p>Ciencia y enfermería - Revista iberoamericana de investigación (45 issues)</p> </li> <li> <p>Gayana (Concepción) - International Journal of Biodiversity, Oceanology and Conservation (45 issues)</p> </li> <li> <p>Gayana. Botánica (41 issues)</p> </li> <li> <p>International Journal of Morphology (79 issues)</p> </li> <li> <p>International journal of interdisciplinary dentistry (5 issues)</p> </li> <li> <p>International journal of odontostomatology (39 issues)</p> </li> <li> <p>Latin american journal of aquatic research (58 issues)</p> </li> <li> <p>Revista chilena de cardiología (37 issues)</p> </li> <li> <p>Revista chilena de enfermedades respiratorias (76 issues)</p> </li> <li> <p>Revista chilena de entomología (5 issues)</p> </li> <li> <p>Revista chilena de historia natural (64 issues)</p> </li> <li> <p>Revista chilena de infectología (131 issues)</p> </li> <li> <p>Revista chilena de neuro-psiquiatría (89 issues)</p> </li> <li> <p>Revista chilena de nutrición (86 issues)</p> </li> <li> <p>Revista chilena de obstetricia y ginecología (117 issues)</p> </li> <li> <p>Revista chilena de radiología (79 issues)</p> </li> <li> <p>Revista de biología marina y oceanografía (58 issues)</p> </li> <li> <p>Revista de cirugía (16 issues)</p> </li> <li> <p>Revista de otorrinolaringología y cirugía de cabeza y cuello (52 issues)</p> </li> <li> <p>Revista médica de Chile (264 issues)</p> </li> </ol> <p> </p> <p><strong>Non-current titles</strong></p> <ol> <li> <p> Boletín chileno de parasitología (5 issues) - Jan 2002: Completed; Continued as Parasitología latinoamericana</p> </li> <li> <p>Ciencia & trabajo (18 issues) - Feb 2020: Indexing interrupted</p> </li> <li> <p> Electronic Journal of Biotechnology (84 issues) - April 2017: Indexing interrupted</p> </li> <li> <p> Investigaciones marinas (22 issues) - Nov 2007: Completed; Continued as Latin american journal of aquatic research</p> </li> <li> <p> Parasitología al día (9 issues) - Jul 2001: Completed; Continued as Parasitología latinoamericana</p> </li> <li> <p>Parasitología latinoamericana (13 issues) - Dec 2008: Completed</p> </li> <li> <p>Revista chilena de anatomía (14 issues) - 2002: Completed ; Continued as International Journal of Morphology</p> </li> <li> <p>Revista chilena de cirugía (78 issues) - May 2019: Completed ; Continued as Revista de cirugía</p> </li> <li> <p>Revista chilena de pediatría (476 números) - March 2021: Completed ; Continued as Andes pediatrica</p> </li> <li> <p>Revista clínica de periodoncia, implantología y rehabilitación oral (30 números) - April 2020: Completed ; Continued as International journal of interdisciplinary dentistry</p> </li> </ol>
VisSE corpus of Spanish SignWriting
<p>The VisSE corpus is a collection of SignWriting instances, annotated graphically and semantically to capture all the meaning, both lexical and visual, of SignWriting. The samples are handwritten, and codify signs or parts of signs from Spanish Sign Language. It also includes trained neural networks for the automatic recognition of SignWriting. It can be used with <a href="https://github.com/agarsev/quevedo">Quevedo</a> or with third party tools thanks to its standard and open format. The VisSE corpus is the result of the <a href="https://www.ucm.es/visse">VisSE Project</a>, financed by Indra and Fundación Universia in the program for funding of research projects on Accesible Technologies.</p>
Fig. 2 in Fast Recent Expansion Of The Spanish Slug (Gastropoda, Stylommatophora, Arionidae) Across Ukraine
Fig. 2. Distribution of the Spanish slug in Ukraine. Black circles — anatomically confirmed locations; empty circles — by external view only.
A comprehensive dataset of the Spanish research output and its associated social media and altmetric mentions (2016-2020)
<p>Data on research publications authored by Spanish institutions between 2016 and 2020 with their associated social media and altmetric mentions, and on researchers affiliated to Spanish institutions whose work is highly mentioned in social media and non-academic outlets.</p> <p>Variables of the publications dataset:</p> <ul> <li><strong>id</strong> - Unique publication identifier</li> <li><strong>title</strong> - Full title of the publication</li> <li><strong>year</strong> - Year of publication</li> <li><strong>type</strong> - Document type</li> <li><strong>journal</strong> - Name of the journal</li> <li><strong>esi</strong> - ESI category of the publication</li> <li><strong>influscore</strong> - AAS value on March 3, 2021</li> <li><strong>news</strong> - Number of mentions in news media</li> <li><strong>blogs</strong> - Number of mentions in blogs</li> <li><strong>policy</strong> - Number of mentions in policy reports</li> <li><strong>patent</strong> - Number of mentions in patent</li> <li><strong>twitter</strong> - Number of mentions in Twitter</li> <li><strong>post_peer</strong> - Number of mentions in PubPeer and Publons</li> <li><strong>weibo</strong> - Number of mentions in Weibo</li> <li><strong>facebook</strong> - Number of mentions in Facebook</li> <li><strong>wikipedia</strong> - Number of mentions in Wikipedia</li> <li><strong>google</strong> - Number of mentions in Google+</li> <li><strong>linkedin</strong> - Number of mentions in LinkedIn</li> <li><strong>reddit</strong> - Number of mentions in Reddit</li> <li><strong>pinterest</strong> - Number of mentions in Pinterest</li> <li><strong>f1000</strong> - Number of mentions in F1000</li> <li><strong>stack_overflow</strong> - Number of mentions in Stack Overflow</li> <li><strong>youtube</strong> - Number of mentions in YouTube</li> <li><strong>syllabus</strong> - Number of mentions in Open Syllabus Project</li> </ul> <p>Variables of the top authors dataset:</p> <ul> <li><strong>name</strong> - Full name of the researcher</li> <li><strong>orcid</strong> - ORCID record</li> <li><strong>organization</strong> - Name of the institution of affiliation</li> <li><strong>publications</strong> - List of publication identifiers (id) connecting with the publications dataset</li> </ul>
SROADEX: Dataset for binary recognition and semantic segmentation of road surface areas from high resolution Aerial Orthoimages Covering Approximately 8,650 km2 of the Spanish Territory Tagged with Road Information
<p>The data have been generated using scripts developed in Python using Open Source libraries (GDAL/OGR and MapScript) for rasterization of vector cartography representing the axes of the different types of roads (urban, interurban and rural). This cartography has been obtained from different Spanish official sources (National Geographic Institute and autonomic cartographic agencies) that we have revised and edited in a meticulous and systematic way to verify that the roads are represented on the cartography according to the orthoimages, available on January 1, 2021 in the download center of the National Center of Geographic Information (CNIG), on 16 rectangular areas (28,5 km * 18,5 km) of the Spanish territory (insular and peninsular).</p> <p>The dataset consists of 777599 images in png format of 256x256 pixels, organized in folders for the different trainings, separating those corresponding to training, testing and validation.</p> <p>The structure of the data is as follows:<br> 1-Road-Ortho and 1-Road-Mask contain the images and ground true for training the semantic segmentation networks.<br> 1-Road-Ortho and 2-NoRoad-Ortho contain aerial images containing or not containing vials, for the training of binary tessellation networks identifying tessellations with vials.<br> Moreover, in each folder the structure is the same: train, test, validation containing 90%, 5% and 5% of the total images and masks of each type.</p> <p>1-Road-Ortho</p> <p> |----Train</p> <p> |----Test</p> <p> -----Validation</p> <p>1-Road-Mask</p> <p> |----Train</p> <p> |----Test</p> <p> -----Validation</p> <p>2-NoRoad-Ortho</p> <p> |----Train</p> <p> |----Test</p> <p> -----Validation</p> <p> </p>
ReSpa - Towards an automatic requirements classification in a new Spanish dataset
<p>ReSpa (Spanish Dataset for requirements classification) dataset is conformed by requirements collected from final degree projects from one University. It was presented in the paper 'Towards an automatic requirements classification in a new Spanish dataset' and used also in the paper 'Requirements Classification Using FastText and BETO in Spanish Documents'.</p> <p>Cited as:</p> <p>Limaylla-Lunarejo, M. I., Condori-Fernandez, N., & Luaces, M. R. (2022, August). Towards an automatic requirements classification in a new Spanish dataset. In <em>2022 IEEE 30th International Requirements Engineering Conference (RE)</em> (pp. 270-271). IEEE. https://doi.org/10.1109/RE54965.2022.00039</p> <p> </p> <p> </p> <p> </p> <p> </p>
Fig. 6. —Continuation. C in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
Fig. 6. —Continuation. C, Asserfa,a stony-sandy plain, northern Cap Boujdour (26°22'N, 13°58'W); D, edge of Sebkhat Tah, where Bolivaremia domenechi Morales Agacino, 1949 has been observed. Photos: Annie Garcin.
FIG. 2 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 2. — Routes of Morales Agacino expedition in Spanish Sahara: A, localities cited in the text with the reference numbers in Table 3; the route of the 1943 mission is reconstructed based on Morales Agacino's published data (red lines); B, route of 1941, 1942, 1943 missions, after off-text map in Morales Agacino (1943).
FIG. 5 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 5. — Distributions of nine species of Orthoptera Acridomorpha in a cline defined by maritime and continental influences in Spanish Sahara. These maps allow to figure out distributional patterns resulting from the spatialization of the continental index of Daget (1977) through the climate map of Morocco by Mokhtari et al. (2014): A, endemic species to the Atlantic coast; B, species of the Pre-Sahara and semi-deserts; C, species endemic to the Sahara; D, arenicolous species adapted to living in desert. See also georeferenced cartography.gpx in Suplementary Table 1.
FIG. 4 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 4. — Phamphagulus taxa in Spanish Sahara: A, Distribution of Pamphagulus vicinus Ramme, 1931, Pamphagulus mateui mateui Morales Agacino, 1949 and Pamphagulus mateui audebdidetensis Morales Agacino, 1949 (Orthoptera Acridomorpha Dericorythidae); B, C, habitus of Pamphagulus vicinus Ramme, 1931: B, male, specimen MNHN-EO-CAELIF159; C, female, specimen MNHN-EO- CAELIF160. Locality numbers: see Tables 3 and 5. After Morales Agacino (1949).
FIG. 3 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 3. — Localisation of the locality El Kantara = Al Gantra along the course of Morales Agacino's 1946 expedition. Symbol: ★, type locality of Bolivaremia domenechi Morales Agacino, 1949. Modified from Map of Morocco (1993).
FIG. 8 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 8. — Glauvarovia mendizabali Morales Agacino, 1945: A, original drawing by Morales Agacino (1945); B-D, female found at Graret Ould Al Aqel (24°25'N, 15°3'W; 50 m), in ventral (B, first illustration of the species sternites), dorsal (C), and side (D) views; E, F, male found at Foum Draa (28°40'N, 11°7'W; 40 m), dorsal (E) and frontal (F) views. Note the short tegmina in both male and female. Photos: Annie Garcin.
FIG. 6 in A comprehensive analysis of Morales Agacino entomological expeditions in Spanish Sahara 1941-1946, with an updated checklist of collection sites and collected insect species (Insecta Polyneoptera, Hymenoptera, Coleoptera Carabidae and Tenebrionidae)
FIG. 6. — Examples of localities in ex-Spanish Sahara: A, Mouth of the Cra wadi at the coast, sandstone-limestone platforms in staircase steps (24°41'N, 14°53'W); B, fossil formation of dunes named Aguerguer in the background; in the rocky foreground, a seedling of Otoglyphis pubescens (Desf.) Pomel, Asteraceae (23°43'N, 15°14'W; 70 m). Photos: Annie Garcin.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.