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45 results for “Basque”
Determinants of rooftop solar uptake: a comparative analysis of the residential and non-residential sectors in the Basque Country (Spain)
<p>Data for <strong>Determinants of rooftop solar uptake: a comparative analysis of the residential and non-residential sectors in the Basque Country (Spain)</strong></p> <p>Rooftop solar, both in the residential and the non-residential sector, is emerging rapidly as a popular source of clean electricity. Together with utility-scale photovoltaics, its future growth is essential to achieve decarbonization targets. Therefore, understanding adoption determinants for firms and households is key to efficiently promoting its diffusion. There is a gap, however, in the knowledge of non-residential adoption determinants, as less attention has been given to this sector compared to the residential sector. As a result of this gap, there is an absence of comparative analysis across sectors. As determinants of adoption cannot be assumed to be the same in both sectors, the objective of this research is threefold. First, to analyze whether the residential and non-residential sectors share key determinants of rooftop solar investment; second, to compare the sectoral differences in these determinants; and third, to assess the policy implications of the results obtained to further promote distributed solar photovoltaic energy. For this purpose, a regional case study in the Basque Country (Spain) was conducted, applying key theoretical frameworks to both sectors in a way that maximized the comparability of the results obtained across them. The results showed that adoption determinants are very different across sectors and, therefore, sector-specific policy actions need to be taken in each sector to efficiently promote rooftop solar. For the residential sector, policy actions could build upon behavioral aspects; for the non-residential sector, economic incentives are expected to be more successful, especially among medium size businesses, which are identified as the most promising segment.</p> <p> </p>
Wikipedia: wikipedia-eu (Basque)
Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p><p></p>https://eu.wikipedia.org/wiki/Azala
Ensemble Learning of Catchment-Wise Optimized LSTMs Enhances Regional Rainfall-Runoff modelling - Case Study: Basque Country, Spain - Data
<div> <div>This data and results are for paper: "Ensemble Learning of Catchment-Wise Optimized LSTMs Enhances Regional Rainfall-Runoff modelling - Case Study: Basque Country, Spain" by Hosseini et al. 2024 (Preprint - Under review J.Hydro 2024) Available at SSRN: <a href="https://ssrn.com/abstract=4918782" target="_blank" rel="noopener">https://ssrn.com/abstract=4918782</a></div> <div> </div> </div>
La Femme Basque
Oeuvre en bronze de 3 m de hauteur et de 600 kg, inaugurée le 11 août 1999 et située à Biarritz sur la placette Etienne Ardoin, en bordure de l'avenue Foch. Elle a été réalisée par Francisco Leiro (né à Cambados-Espagne- en 1957. Le donateur est Pierre Levrai (New York/Biarritz). Selon la légende, une femme du Pays Basque , fille de paysan ou de pêcheur scrute l'océan avec inquiétude, devine le naufrage. Aidée par les vents, la mer et le ciel, elle sauve l'équipage. De son amour pour le capitaine, naîtra Biarritz, cité d'accueil, inspirée par le large. -Itsasoa lano dago...Nik zu zaitiu maiteago arraintxoek ura baino- Source: Objaverse 1.0 / Sketchfab
Job offers from Lanbide Basque Country Public Employment Portal
<p>Based on the provided sample from the "Job_offers_from_Lanbide_Basque_Country_Public_Employment_Portal" dataset, here is a summarized description in English:</p> <p>The dataset compiles various job listings, including local offers from Lanbide, wider European offers, public sector job listings, and offers from other job portals managed within the Lanbide web platform. Each record in the dataset appears to represent a unique job offer with a range of attributes detailing the position. Common attributes for each job listing include:</p> <p>- <strong>Extraction_timestamp</strong>: The date and time when the job offer was last updated, reflecting the currency of the data.<br>- <strong>Source</strong>: A numerical or categorical identifier that may correspond to the origin of the job offer, such as Lanbide, other European job portals, public offers, etc.<br>- <strong>Title</strong>: The name or title of the job position.<br>- <strong>AddressLocality</strong>: The local town or city where the job is located.<br>- <strong>AddressRegion</strong>: The broader region, province, or administrative area where the job is located.<br>- <strong>Description</strong>: A detailed description of the job, including responsibilities, requirements, and other relevant information such as contract type, shifts, start date, salary, and any specific qualifications like a disability percentage or certifications.<br>- <strong>DatePosted</strong>: The date the job was originally posted.<br>- <strong>Offer_Number</strong>: A unique identifier for the job offer.<br>- <strong>EmploymentType</strong>: The type of employment contract offered (e.g., temporary labor).<br>- <strong>Collective</strong>: Any specific community or group the job is targeting, such as people with disabilities.<br>- <strong>OccupationalCategory</strong>: The category or sector of employment, potentially aligning with standard occupational classification systems.<br>- <strong>Workday</strong>: Details regarding the work schedule.<br>- <strong>NumberPositions</strong>: The number of positions available.<br>- <strong>Participants</strong>: Possibly the number of current applicants or participants<br>- <strong>EmploymentSituation</strong>: This field could detail the employment status required.<br>- <strong>Age</strong>: Any age requirements.<br>- <strong>EducationRequirements</strong>: Educational or training requirements necessary for applicants.<br>- <strong>DriverLicense</strong>: Information on whether a driver's license is required.<br>- <strong>ExperienceRequirements</strong>: The amount of experience required.<br>- <strong>ContactInformation</strong>: Details for contacting the employer or recruiter.</p> <p>Each job listing encapsulates comprehensive information that would aid job seekers in understanding the requirements and expectations of each role and for employers or recruiters in managing the recruitment process.</p>
Divide and Remaster v3: Basque Test Set
<p>Divide and Remaster v3 is a multilingual rework of the Divide and Remaster v2 dataset by Pétermann et al.</p> <p>This repository contains the <strong>Basque variant </strong>of DnR v3.</p> <p>The major changes from DnR v2 are as follows:</p> <ul> <li>the dialogue stem now contains content from more than 30 languages across various language families;</li> <li>speech, vocals, and/or vocalizations have been removed from the music and effects stems;</li> <li>loudness and timing parametrization have been adjusted to approximate the distributions of real cinematic content;</li> <li>the mastering process now preserves relative loudness between stems and approximates standard industry practices.</li> </ul> <p>See the linked GitHub repository for more details.</p>
Pluralizing environmental values for urban planning: How to uncover the diversity of imaginaries about socio-natures from Vitoria-Gasteiz (Basque Country, Spain)
<ol> <li><span>Cities have pushed forward re-naturing initiatives in local planning agendas. Discourses and rationales for such interventions tend to follow instrumental framings often narrowed down to the economic, health, and ecological benefits of nature's contributions to people (NCP). Yet, diverse urban residents often connect to other socio-nature framings that are associated with a plurality of values held for nature, including relational, intrinsic, and instrumental values.</span></li> <li><span>Focusing mostly on urban NCP, we used Q-methodology to explore the perspectives and expressions of urban residents' diversity of values for urban greenery and broader human-nature relationships. We explore the role of both instrumental and relational values, as well as certain potential disvalues of urban NCP. In light of the recent IBPES values assessment (IBPES 2022) we follow a call for empirical studies and methodologies to explore, elicit, and visibilize plural values about nature.</span></li> <li><span>We base our study in the Basque city of Vitoria-Gasteiz, Spain (2012 European Green Capital) where we identify four distinct perspectives, all of which relate to a diversity of values about urban nature. Urban residents mostly perceive positive values for NCP as directly connected to their wellbeing. Yet, NCP that impact social bonds within their social community, expressed for instance through community-related values, are perceived differently across the four perspectives.</span></li> <li><span>We conclude that planners and decision-makers should pay scrutiny to include the four, partly differing, perspectives about the plural values of (urban) NCP in policymaking processes to assure just and inclusive outcomes. Here, intersectional and participatory approaches are needed beyond dominating framings of NCPs and related values, especially those that can take into account the needs and preferences of marginalized social groups. Special emphasis should be put on integrating relational values as nourishing such values through planning can play an important role in creating place-rooted connections with local urban landscapes and the community. </span></li> </ol>
Pluralizing environmental values for urban planning: How to uncover the diversity of imaginaries about socio-natures from Vitoria-Gasteiz (Basque Country, Spain)
Open the record for dataset details and reuse information.
Ontolex-lemon and TIAD versions of Apertium Basque-Spanish dictionary
<p>OntoLex-lemon and TSV conversion of Apertium Bidix. For more details, see <a href="https://www.aclweb.org/anthology/2020.lrec-1.401/">https://www.aclweb.org/anthology/2020.lrec-1.401/</a></p> <p>Authors of the original data:</p> (c) 2008, Prompsit Language Engineering (c) 2005--2008, Universitat d'Alacant (Transducens group) (c) 2005--2007, IXA research group / IXA ikerkuntza taldea (c) 2005--2007, TALP research group, Universitat Politècnica de Catalunya
Ontolex-lemon and TIAD versions of Apertium Basque-English dictionary
<p>OntoLex-lemon and TSV conversion of Apertium Bidix. For more details, see <a href="https://www.aclweb.org/anthology/2020.lrec-1.401/">https://www.aclweb.org/anthology/2020.lrec-1.401/</a></p> <p>Authors of the original data:</p> This package is based on apertium-eu-es and Matxin en-eu. The Basque morphological analyser comes from apertium-eu-es, originally from Matxin es-eu. The AUTHORS files for apertium-eu-es and Matxin are reproduced, below. Work original to this package is copyright 2011 Jimmy O'Regan, and was produced with funding from the European Association for Machine Translation. AUTHORS for apertium-eu-es: (c) 2008, Prompsit Language Engineering (c) 2005--2008, Universitat d'Alacant (Transducens group) (c) 2005--2007, IXA research group / IXA ikerkuntza taldea (c) 2005--2007, TALP research group, Universitat Politècnica de Catalunya AUTHORS for Matxin: IXA Research Group / IXA Ikerkuntza Taldea. http://ixa.si.ehu.es/Ixa TALP Research Center (Universitat Politecnica de Catalunya) http://talp.upc.edu Centre de Llenguatge i Computacio (Universitat de Barcelona) http://clic.ub.edu Universitat d'Alacant / Universidad de Alicante. http://transducens.dlsi.ua.es/
Data from: A Decision Support System for assessing management interventions in a Mental Health ecosystem: the case of Bizkaia (Basque Country, Spain)
Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning. The Efficient Decision Support-Mental Health (EDeS-MH) is a DSS that integrates an operational model to assess the Relative Technical Efficiency (RTE) of small health areas, a Monte-Carlo simulation engine (that carries out the Monte-Carlo simulation technique), a fuzzy inference engine prototype and basic statistics as well as system stability and entropy indicators. The stability indicator assesses the sensitivity of the model results due to data variations (derived from structural changes). The entropy indicator assesses the inner uncertainty of the results. RTE is multidimensional, that is, it was evaluated by using 15 variable combinations called scenarios. Each scenario, designed by experts in MH planning, has its own meaning based on different types of care. Three management interventions on the MH system in Bizkaia were analysed using key performance indicators of the service availability, placement capacity in day care, health care workforce capacity, and resource utilisation data of hospital and community care. The potential impact of these interventions has been assessed at both local and system levels. The system reacts positively to the proposals by a slight increase in its efficiency and stability (and its corresponding decrease in the entropy). However, depending on the analysed scenario, RTE, stability and entropy statistics can have a positive, neutral or negative behaviour. Using this information, decision makers can design new specific interventions/policies. EDeS-MH has been tested and face-validated in a real management situation in the Bizkaia MH system.
Database of Basque voice constructions (16th-21st centuries)
<p>Database of Basque voice constructions (16th-21st centuries)</p>
URA dataset - 40 Basque Country catchments hourly hydro-meteorological data + Catchments Attributes
<p>Basque Country is located in north of Spain on the Atlantic coast. This region, characterized by its humid climatology, has abundant water resources. The catchments, noted for their flashy and humid characteristics, span an area of 4494 Km<sup>2</sup> and include a diverse range of basin sizes from 4 to 1000 Km<sup>2</sup>.</p> <p>The Basque Water Agency (URA), a regional governmental entity in the Basque Country, is responsible for managing water policies and resources in this territory. To support water resources planning and management, URA has compiled a high-quality dataset suitable for data mining using deep learning models. This dataset includes hourly hydro-meteorological timeseries, reflecting the region’s steep, flashy, and humid hydrological dynamics.</p> <p>URA catchments are situated between the Cantabrian Mountains (reaching up to 1300 meters in elevation) in the northwest and the Atlantic Ocean to the north. The region is predominantly covered by grasslands and evergreen forests and benefits from the warming effects of the Gulf Stream. The climate is humid and temperate, with mean annual temperatures ranging from 9°<sup>C</sup> in the mountains to 15°<sup>C</sup> in lower regions. Annual rainfall varies between 1200 and 1600 millimeters, primarily due to the advection of North Atlantic fronts.</p> <p>URA has collected hourly hydro-meteorological timeseries from approximately 100 stations distributed across the region, including rain gauges and water level measurement sites. Accurate rainfall-runoff modeling is critical in this region due to its susceptibility to flash floods. This dataset presents 21 years of hourly timeseries from 40 catchments within the region. This extensive temporal coverage and high-resolution data offer valuable insights into the region’s hydrological dynamics.</p> <p>This Dataset is published with the papers:</p> <p>1- <span>Hosseini, F.; Prieto, C.; Álvarez, C. (2025). </span><span><strong>Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling</strong>—Case Study: Basque Country, Spain. </span><span>J. Hydrol. 132269. doi: </span><span><a href="https://doi.org/10.1016/j.jhydrol.2024.132269"><span>10.1016/j.jhydrol.2024.132269</span></a></span></p> <p>2- <span>Hosseini, F., Prieto, C., & Álvarez, C. (2024a). <strong>Hyperparameter optimization of regional hydrological LSTMs by random search</strong>: A case study from Basque Country, Spain. Journal of Hydrology, 132003. doi: </span><span><a href="https://doi.org/10.1016/j.jhydrol.2024.132003"><span>10.1016/j.jhydrol.2024.132003</span></a></span></p> <p> </p>
Corpus of historic Basque texts
<p>A corpus of historic Basque texts analyzed for this study, classified according to textual genre and dialect, with source references.</p>
FIGURES 24−25. Deuteraphorura boneti. 24 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURES 24−25. Deuteraphorura boneti. 24, dorsal view of a lectotype; 25, lectotype microscope slide. Scale: 0.2 mm.
FIGURE 1 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURE 1. Map with the location of the caves (Loc., Cave): 1, Akelarreko lezea (Aralar, Larraun, Alli); 2, Akuandi (Urbasa sur, Limitaciones); 3, Amuladoy (AM-101) (Urkulu); 4, Arantzaduia II = Cva. de San Martin (Urbasa sur, Limitaciones); 5, Arkalde (Basaburua, Beruete); 6, Arleze (Urbasa, Falla de Zunbeltz); 7, Astaté-Redoute Chateau Pignon (Urkulu); 8, Basantziturriko lezea (Urbasa centro); 9, Basaula (Lokitz); 10, Burkarrutz I = Igunsoro I (Gaztelu); 11, Burkarrutz II = Igunsoro II (Gaztelu); 12, Cerro Viejo (Urbasa, Falla de Zunbeltz); 13, Apain (= Cueva fria) (Aralar); 14, Diablozulo (Alaiz, Gerendiain); 15, Egar II (Aralar); 16, Elhursaro (EL-2) (Urkulu); 17, Espinal, Sumidero de (Espinal); 18, Etchekertia (Arbailak); 19, Goiburuko Borda (Pagoeta, Aia); 20, Goiko Errotako Zuloa (Leitza); 21, Iguaran (Entzia); 22, Istaürdi (Arbailak); 23, Kurriamuro (Espinal); 24, Leurtza (Leurtza); 25, Lezealde = Sarasola (Labaien); 26, Lezegalde (Aralar); 27, Mairuelegorreta 1 (Gorbea, Zigoitia); 28, Moro (Nabaskotze); 29, Mugiro (Aralar); 30, Noriturri (Urbasa sur, Limitaciones); 31, Ostolaza = Los Cristinos (Urbasa sur, Limitaciones); 32, Otxas (Igorre); 33, Oxibar (Arbailak); 34, Pasaunzulo (Arrarats, Basaburua); 35, Sauco (Urbasa-Andia-Falla de Zunbeltz); 36, Sorogaingo zuloa = Cva. del Carlista (Sorogain); 37, Tantadi (Saldias); 38, Troskaeta (Aralar, Ataun); 39, Zarpia (Entzia); 40, Comandanta (Triano, Galdames); 42, Txorrote (Albiztur).
FIGURES 3−7. Deuteraphorura akelaris. 3 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURES 3−7. Deuteraphorura akelaris. 3, dorsal view of a specimen from Mugiro cave; 4, PAO; 5, male ventral organ; 6, AbdII−IV sternites central chaetotaxy; 7, tibiotarsus and claw of leg III. Scales: 0.2 mm (3), 0.05 mm (4−7).
FIGURES 35−36 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURES 35−36. Protaphorura leitzaldeaensis sp. nov. 35, dorsal view; 36, ventral view. Scale: 0.2 mm.
FIGURES 18−23 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURES 18−23. Deuteraphorura bolivari sp. nov. 18, dorsal view; 19, abdominal ventral chaetotaxy of a male; 20, male ventral organ; 21, PAO; 22, tibiotarsus and claw of leg I; 23, tibiotarsus and claw of leg III. Scales: 0.1 mm (18−19), 0.05 mm (20, 22−23), 0.03 mm (21).
FIGURES 40−42. Spinonychiurus vandeli. 40 in The family Onychiuridae (Collembola) from karst caves of the Basque biospeleologic district, with description of four new species
FIGURES 40−42. Spinonychiurus vandeli. 40, dorsal view of the specimen of Istaürdi cave; 41, same as 39, ventral view; 42, tibiotarsus and claw of leg III, and anal spine (AS). Scales: 0.2 mm (40−41), 0.05 mm (42).
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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.