BUSCADOR RECOLECTA

[Description of methods used for collection/generation of data] Orientation data in this Table were collected mainly by measuring the azimuths over satellite images with Google Earth and GIS. The rest were extracted from previous publications and one was taken in situ. The method for acquisition is indicated in each case. [Methods for processing the data] The statistical analysis was carried out with Python., Axencia Galega de Innovación (GAIN-Xunta de Galicia), Axudas de apoio á etapa posdoutoral, 2019., Peer reviewed

No

[Description of methods used for collection/generation of data] Part of the data were measured over aerial imagery with Google Earth and GIS software. In some cases the data were obtained in situ. The method is indicated in each case. [Methods for processing the data] The statistical analysis was carried out with Python., Axencia Galega de Innovación (GAIN-Xunta de Galicia), Axudas de apoio á etapa posdoutoral, 2019., Peer reviewed

[Description of methods used for collection/generation of data] Woody plant communities included in the Directive Habitats 92/43/CEE were sampled across the Andalusian Red Natura 2000. We focused mainly on shrub and tree species with the capacity to act as nurse plants. Each plant community was sampled throughout plots (16, 25 x 25 m) or transects (20, 10 x 50 m); each transect was divided into 5 [10 x 10 m] squares (100 squares per plant community). In total the sampled area per plant community was 10000 m^2. Complete descriptions of the methodological procedures can be found in Alcántara et al. (2019) and Verdú et al. (2022). In each square, the list of canopy plant species, with the capacity to act as nurses, and the number of recruiting plant species within it was recorded. The squares were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. References: - Directiva 92/43/CEE del Consejo, de 21 de mayo de 1992, relativa a la conservación de los hábitats naturales y de la fauna y flora silvestres. - Alcántara, J. M., Garrido, J. L., Montesinos‐Navarro, A., Rey, P. J., Valiente‐Banuet, A., & Verdú, M. (2019). Unifying facilitation and recruitment networks. Journal of Vegetation Science, 30(6), 1239-1249. DOI: 10.1111/jvs.12795 - Verdú, M., Garrido, J. L., Alcántara, J. M., Montesinos‐Navarro, A., Aguilar, S., Aizen, M. A., et al. (2022). RecruitNet: A global database of plant recruitment networks. Ecology, e3923. https://doi.org/10.1002/ecy.3923, Our aim was to register the frequency of plant-plant interactions, between canopy and recruiting species, in plant communities across the Andalusian Red Natura 2000. The study was developed in 38 plant communities across 19 protected areas in the Andalusian RedNatura 2000. The present dataset can help to assess plant community dynamics of Mediterranean woody species through recruitment networks. Here, we stress the importance of recording ecological interactions, not just individual records, as key elements in assessing the state of ecosystems., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.] [Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (5) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) thanks to Parque Natural Montes Málaga, Parque Natural Sierra de las Nieves, Parque Natural Sierras Subbéticas, Parque Natural Sierra Norte, Parque Natural Sierra de Aracena y Picos de Aroche, Parque Natural Sierra de Grazalema and Finca La Almoraima for facilitating access and scientific work permits; (6) CSIC is acknowledged for supporting Open Access publication., Canopy-Recruit_Interactions_REDNATURA_2000.csv [shows the list of plant species canopy paired with plant recruit species per sampled plant community with the information of the observed frequency of interaction] Plant_community_&_sampling_info.csv [has information about sampled plant communities and sampling methods] Metadata.csv [records information about the meaning of columns in Canopy-Recruit_Interactions_REDNATURA_2000.csv' and 'Plant_community_&_sampling_info.csv' files], Peer reviewed

We exposed the calanoid copepod Paracartia grani, reared in the laboratory at 19°C, to warmer conditions (22°C and 25°C) for 11 generations and examined the direct effects of temperature on feeding, fecundity, development, population sex ratio and somatic traits (adult and egg sizes and adult carbon content), This research was funded by Grants [CTM2017-84288-R and PID2020-118645RB-I00] by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. CJ was supported by Grant [PRE2018-084738] funded by MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Rearing temperature, generation, prosome length, carbon content, ingestion rate, egg production rate, egg diameter, gross-growth efficiency, hatching success, Peer reviewed

[Description of methods used for collection/generation of data] The composition and cover of dominant woody species (shrubs and trees), with the capacity to act as nurse plants, was characterized in plant communities across the Andalusian Red Natura 2000 (Directiva Habitats 92/43/CEE). The composition and cover (m^2 and %) of woody species in each plant community were sampled throughout two main methodologies: 1) plot-based, composition and cover at the understory layer was estimated in 1 plot [50 x 50 m] and 2500 m^2 of total sampled area; 2) transect-based, composition and cover in the canopy and understory layers, together with dead and overlapping individuals, was estimated in 20 transects [10 x 50 m], representing 100 squares [10 x 10 m] and a total sampled area of 10000 m^2. Complete descriptions of the methodological procedures can be found in Alcántara et al. (2019) and Verdú et al. (2022). The plots/transects were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias. References: - Directiva 92/43/CEE del Consejo, de 21 de mayo de 1992, relativa a la conservación de los hábitats naturales y de la fauna y flora silvestres. - Alcántara, J. M., Garrido, J. L., Montesinos‐Navarro, A., Rey, P. J., Valiente‐Banuet, A., & Verdú, M. (2019). Unifying facilitation and recruitment networks. Journal of Vegetation Science, 30(6), 1239-1249. DOI: 10.1111/jvs.12795 - Verdú, M., Garrido, J. L., Alcántara, J. M., Montesinos‐Navarro, A., Aguilar, S., Aizen, M. A., et al. (2022). RecruitNet: A global database of plant recruitment networks. Ecology, e3923. https://doi.org/10.1002/ecy.3923, Our aim was to characterize the composition and cover of dominant woody plant species, with the capacity to act as nurse plants, in plant communities across the Andalusian Red Natura 2000 (Directiva Habitats 92/43/CEE). The study was developed in 38 plant communities across 19 protected areas distributed within the Andalusian RedNatura 2000. The present dataset can help to assess plant community dynamics of Mediterranean woody species. Here, we stress the importance incorporating abundance or cover for all co-occurring woody species together with ecological interactions, not just individual records, as key elements in assessing the state of ecosystems., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.][Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (3) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) thanks to Parque Natural Montes Málaga, Parque Natural Sierra de las Nieves, Parque Natural Sierras Subbéticas, Parque Natural Sierra Norte, Parque Natural Sierra de Aracena y Picos de Aroche, Parque Natural Sierra de Grazalema and Finca La Almoraima for facilitating access and scientific work permits; (6) CSIC is acknowledged for supporting Open Access publication., Composition_and_cover_woody_plant_species.csv [shows the list of woody plant species per sampled plant community with the information of cover (m^2) and relative cover (%) per plant species] Plant_community_&_sampling_info.csv [has information about sampled plant communities and sampling methods] Metadata.csv [records information about the meaning of columns in 'Composition_and_ cover_woody_plant_species.csv' and 'Plant_community_&_sampling_info.csv'], Peer reviewed

Peer reviewed

[Description of methods used for collection/generation of data] Table S1. Carotenoid content and profile was determined by HPLC. Table S2. Gene annotation information was retrieved from the public information available at Ensembl.Plants. https://plants.ensembl.org/Triticum_turgidum/Info/Index Table S3. Passport information was retrieved from The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/, Dataset published as supplementary material of Requena-Ramírez et al. (2022), https://doi.org/10.3390/plants11152065. This dataset includes the carotenoid content and profile of the durum wheat accessions analysed during two seasons in Córdoba (Spain) along with their basic passport data., This research was funded by project AGL2017-85368-P funded by MCIN/AEI/10.13039/501100011033/, by ERDF “ERDF A way of making Europe” and by the Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), Junta de Andalucía, grant number AVA-AVA2019.020 cofounded at 80% by ERDF. M.D.R.-R. was supported by PRE2018-084037 funded by MCIN/AEI/10.13039/501100011033 and ESF “ESF investing in your future”., Contains three tables: Table S1, Table S2, Table S3. Table S1. Carotenoid content and profile of durum wheat accessions during two seasons. Table S2. Svevo gene models matching marker-trait associations reported in this work Table S3. List of durum wheat accessions analized in this work. Further details can be found at the Spanish Inventory of Plant Genetic Resources. Available online: https://bancocrf.inia.es/en/, Peer reviewed

Conjunto de 4 ficheros (3 tablas suplementarias y una figura suplementaria)., This research was funded by Grants AGL2014-53195-R from Ministerio de Economía y Competitividad and AGL2017-85368-P from Ministerio de Ciencia, Innovación y Universidades. Both projects are cofounded by FEDER. DHM is member of CaRed Network funded byMinisterio de Economía y Competitividad (BIO2015-71703-REDT and BIO2017-90877-REDT) and participates in EUROCAROTEN COST Action (CA15136). CMA and SGA are members of FiRCMe Network, funded by Ministerio de Economía y Competitividad (AGL2016-81855-REDT)., Peer reviewed

Fichero con 4 tablas suplementarias. DArTSeq markers with a significant match to Svevo genome; List of accessions; Location of markers within the confidence intervals of selected QTLs by other authors, Location of markers associated with lodging and stem diameter., [Description of methods used for collection/generation of data] Table S1. BLASTn search was performed using BLAST+. DArTSeq sequences were used as a query against the durum wheat coding sequences (nucleotides) of annotated high (HC) and low (LC) confidence genes. Table S2. Passport information was retrieved from The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/ Table S3. Positions of markers associated to wheat sawfly resistance reported by Varella et al. 2019 (DOI:10.1534/ge.119.400240) in the Svevo genome was obtained from https://wheat.pw.usda.gov/GG3/jbrowse_Durum_Svevo. Table S4. Position of markers associated with lodging and stem diameter in bread wheat was retrieved from the Wheat Chinese Spring genome assembly (https://wheat.pw.usda.gov/GG3/genome_browser) using the QTL track., Dataset published as supplementary material of Ávila et al. (2021), https://doi.org/10.3390/plants10061123). This dataset includes all the DArTSeq markers with a significant match to 'Svevo' genome that were used for the Genome Wide Association Scan (GWAS) for agronomic and stem cross section properties. It also details the list of durum wheat landraces studied in this work and the position of markers in the Svevo genome reported by other authors used for comparative analyses with the results obtained in this work., This research was funded by the Instituto de Investigación y Formación Agraria y Pesquera (IFAPA), Junta de Andalucía, grant number AVA-AVA2019.020 cofounded at 80% by FEDER. C.M.A., J.S. and S.G.A. are members of the FiRCMe Network, funded by Ministerio de Economía, Industria y Competitividad (AGL2016-81855-REDT). M.D.R.-R. was the recipient of a fellowship from the Ministerio de Ciencia, Innovación y Universidades (PRE2018-084037)., Contains four tables: Table S1, Table S2, Table S3, Table S4. Table S1. BLASTn alignment of DArTSeq markers sequences against durum wheat reference genome 'Svevo' High Confidence and Low Confidence gene models. Table S2. List of durum wheat accessions studied in this work. Further details can be found at The Spanish Inventory of Plant Genetic Resources. Available online: https://https://bancocrf.inia.es/en/ Table S3. Localization of markers within the confidence intervals of QTLs for wheat stem sawfly reported by Varella et al. 2019 (DOI:10.1534/ge.119.400240) in the Svevo genome. Table S4. Markers associated with lodging and stem diameter in bread wheat used for comparisons with results in durum wheat., Peer reviewed