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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401140
Set de datos (Dataset). 2024

EXPERIMENTAL DATASET FOR HTTPS://GITHUB.COM/1AVIERVARGAS/SEMANTIC_SEGMENTATION_PICKER

  • Vargas, Javier
  • Martín-Benito, Jaime
  • Modrego, Andrea
Ministerio de Ciencia, Innovación y Universidades: Cryo-electron microscopy: from the resolution revolution to the new drug design revolution PID2022-137548OB-I00; Ministerio de Ciencia, Innovación y Universidades: Digital image processing in cryomicroscopy: breaking down barriers (DigitalBreak) TED2021-132748B-I00, Peer reviewed

DOI: http://hdl.handle.net/10261/401140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401140
HANDLE: http://hdl.handle.net/10261/401140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401140
PMID: http://hdl.handle.net/10261/401140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401140
Ver en: http://hdl.handle.net/10261/401140
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401140

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401141
Set de datos (Dataset). 2025

DESIGNING CONSERVATION NETWORKS TO ENSURE CONNECTIVITY IN A CHANGING CLIMATE: APPLICATION TO SPANISH FORESTS

  • Goicolea, Teresa
[Aim:] Assess the potential effects of climate change on different forest habitats, and outline a climate-wise conservation network to sustain forest connectivity under current and future climates., [Location:] Mainland Spain., [Time period:] Current and future (2071-2100)., [Major taxa studied:] Forest species associated with different vegetation types and dispersal abilities., [Methods:] We fitted a Random Forest model to predict the distribution of six vegetation types under current and four future climate scenarios. We then assessed forest availability and connectivity for each climate scenario and vegetation type. To define the conservation network we identified the key habitat patches and corridors for dynamic connectivity using multi-temporal habitat availability indices. Finally, we analyzed how much of this conservation network is expected to change due to climate shifts and how this aligns with existing protected areas., [Results:] Forests across all vegetation types exhibited substantial northward, eastward, and upward shifts. Forests adapted to cold or wet conditions (e.g., deciduous, mountain conifers, and high-mountain vegetation) declined in area and connectivity. Warm- and dry-adapted forests (e.g., sclerophyllous, subsclerophyllous, and hyperxerophilous vegetation) increased their ranges and connectivity. The increase in subsclerophyllous area tripled in connectivity gain, whereas other vegetation increased area and connectivity at similar rates (differences below 15%). 53% of the proposed conservation network shifted vegetation types. Current protected areas covered 45% of the conservation patches across Spain but less than 7% within the deciduous vegetation type., [Main conclusions:] Projected shifts highlight the need for dynamic connectivity analyses to guide effective conservation under changing climates. Forest types exhibited distinct trends, underscoring the need for tailored strategies for each type. The proposed conservation network provides guidance for a proactive enhancement of forest species resilience, and serve as reference for other countries with similar conservation targets, such as the international EU Restoration Law and Biodiversity Strategy., Ministerio de Ciencia e Innovación (Agencia Estatal de Investigación) and FEDER Una manera de hacer Europa: PID2021-124187NB-I00 Ministerio de Ciencia e Innovación (Agencia Estatal de Investigación) and Unión Europea NextGenerationEU/PRTR: TED2021-129589B-I00, Peer reviewed

DOI: http://hdl.handle.net/10261/401141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401141
HANDLE: http://hdl.handle.net/10261/401141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401141
PMID: http://hdl.handle.net/10261/401141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401141
Ver en: http://hdl.handle.net/10261/401141
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401141

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401143
Set de datos (Dataset). 2024

ADDITIONAL FILE 3 OF RECOMMENDATIONS FOR THE CLASSIFICATION OF GERMLINE VARIANTS IN THE EXONUCLEASE DOMAIN OF POLE AND POLD1

  • Mur, Pilar
  • Viana-Errasti, Julen
  • García-Mulero, Sandra
  • Magraner-Pardo, Lorena
  • Muñoz, Inés G.
  • Pons, Tirso
  • Capellá, Gabriel
  • Pineda, Marta
  • Feliubadaló, Lidia
  • Valle, Laura
Additional file 3: Table S3. Characteristics and classification of constitutional (germline) POLE and POLD1 exonuclease domain missense variants., Agencia Estatal de Investigación; Instituto de Salud Carlos III; Agència de Gestió d'Ajuts Universitaris i de Recerca Generalitat de Catalunya, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/401143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401143
HANDLE: http://hdl.handle.net/10261/401143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401143
PMID: http://hdl.handle.net/10261/401143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401143
Ver en: http://hdl.handle.net/10261/401143
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401143

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401145
Set de datos (Dataset). 2025

HETEROGENEOUS EARTH’S MANTLE DRILLED AT AN EMBRYONIC OCEAN [DATASET]

  • Sanfilippo, Alessio
  • Pandey, Ashutosh
  • Akizawa, Norikatsu
  • Poulaki, Eirini
  • Cunningham, Emily
  • Bickert, Manon
  • Lei, Chao
  • Vannucchi, Paola
  • Estes, Emily R.
  • Malinverno, Alberto
  • Abe, Noriaki
  • Di Stefano, Stefano
  • Filina, Irina Y.
  • Fu, Qi
  • Gontharet, Swanne B. L.
  • Kearns, Lorna E.
  • Koorapati, Ravi Kiran
  • Loreto, Maria Filomena
  • Magri, Luca
  • Menapace, Walter
  • Pavlovics, Victoria L.
  • Pezard, Philippe A.
  • Rodriguez-Pilco, Milena A.
  • Shuck, Brandon D.
  • Zhao, Xiangyu
  • Garrido, Carlos J.
  • Brunelli, Daniele
  • Morishita, Tomoaki
  • Zitellini, Nevio
E.R.E. was supported through NSF award OCE–1326927. L.M.’s PhD scholarship is supported by Geoscience Australia. W.M. is supported by the H2020 MSCA-IF – TURBOMUD project – GA No. 101018321. Support for E. Estes was provided by NSF grants OCE1326927 (IODP JRSO) and OCE2412279 (IODP Closeout), With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

DOI: http://hdl.handle.net/10261/401145, https://doi.org/10.20350/digitalCSIC/17590
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401145
HANDLE: http://hdl.handle.net/10261/401145, https://doi.org/10.20350/digitalCSIC/17590
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401145
PMID: http://hdl.handle.net/10261/401145, https://doi.org/10.20350/digitalCSIC/17590
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401145
Ver en: http://hdl.handle.net/10261/401145, https://doi.org/10.20350/digitalCSIC/17590
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401145

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401147
Set de datos (Dataset). 2025

SUPPORTING INFORMATION FOR DECIPHERING THE DISTRIBUTION AND TYPES OF MULTICOPPER OXIDASES IN BASIDIOMYCOTA FUNGI

  • Molpeceres García, Gonzalo
  • Aza Toca, Pablo
  • Ayuso-Fernández, Iván
  • Padilla, Guillermo
  • Ruiz-Dueñas, F. J.
  • Camarero, Susana
This entry includes supplementary information to article Deciphering the distribution and types of Multicopper oxidases in Basidiomycota fungi (https://doi.org/10.1016/j.ympev.2025.108310) including: Supplementary tables S1 to S3; Supplementary files S1 to S4 (sequence alignments and phylogenetic trees); and Dataset S1 (species and sequences selected for the study), European Commission ROBUSTOO - Robust industrial biocatalysts with peroxygenase, phenol-oxidase or furfuryl-oxidase activities from bacterial and fungal hosts101135119 Ministerio de Ciencia, Innovación y Universidades Taking lessons from lignin biodegradation to degrade non-hydrolysable plasticsPID2021-126384OB-I00/MICIU/AEI/10.13039/501100011033/FEDER, Peer reviewed

DOI: http://hdl.handle.net/10261/401147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401147
HANDLE: http://hdl.handle.net/10261/401147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401147
PMID: http://hdl.handle.net/10261/401147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401147
Ver en: http://hdl.handle.net/10261/401147
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401147

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401155
Set de datos (Dataset). 2024

SEDIMENT ELEMENTAL X-RAY FLUORESCENCE RECORD AT IODP SITE U1475 DURING THE EARLY PLIOCENE

  • Hall, Ian R.
  • LeVay, Leah J.
  • Berke, Melissa A.
  • Coenen, Jason J.
  • Gruetzner, Jens
  • Jiménez-Espejo, Francisco J.
  • Tangunan, Deborah
This dataset documents the early Pliocene elemental composition of Aluminum (Al), Potassium (K), Calcium (Ca), and Iron (Fe) in sediments from IODP Site U1475, drilled on the southwestern flank of the Agulhas Plateau in the southwestern Indian Ocean during IODP Expedition 361: South African Climate (30 January to 31 March 2016). The data were obtained via X-ray fluorescence (XRF) analysis using a third-generation Avaatech Core Scanner equipped with a Canberra X-PIPS SDD, Model SXD 15C-150-500 X-ray detector at the IODP JRSO XRF Core Scanning Facility at the Texas A&M University (USA). Core sections were prepared by scraping and covering with 4 µm-thick Ultralene film to ensure clean measurement surfaces. XRF measurements were taken every 3 cm in three separate runs with generator settings of 10 kV (Al to Fe detection), 30 kV (Rb, Sr, and Zr detection), and 50 kV (for Ba). This dataset focuses on reporting Al, Ca, Sr, and K ratios., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/401155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401155
HANDLE: http://hdl.handle.net/10261/401155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401155
PMID: http://hdl.handle.net/10261/401155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401155
Ver en: http://hdl.handle.net/10261/401155
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401155

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401166
Set de datos (Dataset). 2024

DATASETS AND SUPPORTING MATERIALS FOR THE IPIN 2024 COMPETITION TRACK 3 (SMARTPHONE-BASED, OFF-SITE)

  • Torres-Sospedra, Joaquín
  • Crivello, Antonino
  • Stahlke, Maximilian
  • Potortì, Francesco
  • Ortiz, Miguel
  • Li, Ziyou
  • Pérez-Navarro, Antoni
  • Jiménez Ruiz, Antonio R.
This package contains the datasets and supplementary materials used in the IPIN 2024 Competition., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/401166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401166
HANDLE: http://hdl.handle.net/10261/401166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401166
PMID: http://hdl.handle.net/10261/401166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401166
Ver en: http://hdl.handle.net/10261/401166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401166

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401168
Set de datos (Dataset). 2025

OM-FIT DATA FOR THE LAST 16500 YEARS BEFORE PRESENT

  • Bernal-Wormull, Juan Luis
  • Moreno Caballud, Ana
  • Bartolomé, Miguel
  • Pérez-Mejías, Carlos
  • Iriarte, Eneko
  • Cacho, Isabel
  • Giménez, Reyes
  • Arriolabengoa, M.
  • Spötl, Christoph
  • Dublyansky, Yuri
  • Cheng, Hai
  • Edwards, R. Lawrence
The Ostolo and Mendukilo speleothems provide a replicated and precisely dated record of paleotemperature (OM-FIT) in NE Iberia for the past 16.5 kyr BP. The OM-FIT dataset is made up of the d2H values and their respective paleotemperature (°C) results. The OM-FIT record contributes novel, non-biogenic evidence of rapid temperature transitions and emphasizes the significant connections between abrupt air temperature shifts in this southwestern European terrestrial record and changes in deep-water ocean circulation and meltwater input during the last deglaciation and the Greenlandian period., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/401168
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401168
HANDLE: http://hdl.handle.net/10261/401168
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401168
PMID: http://hdl.handle.net/10261/401168
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401168
Ver en: http://hdl.handle.net/10261/401168
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401168

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401178
Set de datos (Dataset). 2025

GLOSSAQUA: A GLOBAL DATASET OF SIZE SPECTRA ACROSS AQUATIC ECOSYSTEMS [DATASET]

  • Ersoy, Zeynep
  • Evangelista, Charlotte
  • Larrañaga, Aitor
  • Perkins, Daniel M.
  • Sánchez-Hernández, Javier
  • Chonova, Teofana
  • Cunillera-Montcusí, David
  • García-Comas, Carmen
  • García-Girón, Jorge
  • Guzmán, Ioar de
  • Pomeranz, Justin
  • Saito, Victor S.
  • Arim, Matías
  • Baumgartner, Dirceu
  • Baumgartner, Gilmar
  • Berazategui, Mauro
  • Boix, Daniel
  • Collyer, Giovanna
  • Compte, Jordi
  • Cunico, Almir Manoel
  • Dorst, Renee M. van
  • Harding, Jon
  • Gaedke, Ursula
  • Gascón, Stéphanie
  • Gubiani, Éder André
  • Hernández, Daniel
  • Junker, James
  • López-Vázquez, Mercedes
  • Maciel, Anderson Luís
  • Mehner, Thomas
  • Mormul, Roger Paulo
  • Pereira-Garbero, Ramiro
  • Petsch, Danielle K.
  • Piana, Pitágoras Augusto
  • Quintana, Xavier D.
  • Serra, Wilson Sebastián
  • Siqueira, Tadeu
  • Warburton, Helen J.
  • Zarucki, Matías
  • Arranz, Ignasi
With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/401178, https://doi.org/10.20350/digitalCSIC/17592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401178
HANDLE: http://hdl.handle.net/10261/401178, https://doi.org/10.20350/digitalCSIC/17592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401178
PMID: http://hdl.handle.net/10261/401178, https://doi.org/10.20350/digitalCSIC/17592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401178
Ver en: http://hdl.handle.net/10261/401178, https://doi.org/10.20350/digitalCSIC/17592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401178

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401185
Set de datos (Dataset). 2025

TEMPORALLY-SCHEDULED ROV-BASED MONITORING TO DETECT BEHAVIOURAL RHYTHMS OF DEEP-SEA MEGAFAUNA [DATASET]

  • Chatzievangelou, Damianos
  • Vigo Fernandez, María
  • Bahamon, Nixon
  • García, José A.
  • Navarro, Joan
  • Company, Joan B.
  • Aguzzi, Jacopo
This work was supported by the following projects of the Plan Estatal de Investigación Científica y Técnica y de Innovación 2017–2020 of the Spanish government: RESNEP (CTM2017-82991-C2-1-R); BITER (PID2020-114732RB-C31); PLOME (PLEC2021-007525/AEI/https://doi.org/10.13039/501100011033) and EU LIFE-ECOREST (LIFE20 NAT/ES/001270). DC was funded by a Juan de la Cierva Formación Postdoctoral Fellowship (Ref: FJC2021-047734-I; financed by MCIN/AEI/https://doi.org/10.13039/501100011033 and European Union NextGenerationEU/PRTR funds). MV was supported by the FPU program of the Spanish Government (FPU18/01775). The described activities also fall within the framework of the Research Unit Tecnoterra (ICM-CSIC/UPC), and the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S) granted to ICM-CSIC by the Spanish Government, Peer reviewed

DOI: http://hdl.handle.net/10261/401185, https://doi.org/10.20350/digitalCSIC/17593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401185
HANDLE: http://hdl.handle.net/10261/401185, https://doi.org/10.20350/digitalCSIC/17593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401185
PMID: http://hdl.handle.net/10261/401185, https://doi.org/10.20350/digitalCSIC/17593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401185
Ver en: http://hdl.handle.net/10261/401185, https://doi.org/10.20350/digitalCSIC/17593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/401185

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