BUSCADOR RECOLECTA

Physicochemical features of the selected biomass wastes in the GICO project (https://www.gicoproject.eu/): Proximate, ultimate analyses, S and Cl contents and calorific value, European Commission: GICO - Gasification Integrated with CO2 capture and conversion (101006656), WP2T1_DataN2.xlsx, Peer reviewed

List of tested and analyzed data sharing tools (non-exhaustive), oo_87342.pdf, Peer reviewed

All FASTA files used for BLAST analyses and all BLAST results for https://doi.org/10.1093/genetics/iyac080 are included. Descriptions of each file can be found in README_maize_genetics_2022_zenodo.csv and further information about the content of the files can be found on github., Peer reviewed

Data was collected at the BM14 beamline of the European Synchrotron Radiation Facility (ESRF, Grenoble, France) using a Mar CCD detector. Data from the same crystal were collected at two wavelengths : Remote wavelength (0.9185 Å): 180 images (1 degree oscillation per image). Peak wavelength ( 0.9785 Å): 360 images (1 degree oscillation per image)., Diffraction images of SeMet labeled crystals of a fragment of human plectin that includes the first and second spectrin repeats (SR1-SR2) of the plakin domain. The two Cys in the wild type sequence were replaced by Ala. This Se-Met MAD dataset was used for the de novo phasing of the pdb entry 2ODV (http://www.rcsb.org/pdb/explore/explore.do?structureId=2ODV)., Peer reviewed

Coordinates (input files and equilibrated structures) corresponding to the MD simulations reported in Sahihi and Faraudo, J. Chem. Inf. Model. 2022, 62, 16, 3814–3824 https://doi.org/10.1021/acs.jcim.2c00562 . Please cite this publication and the dataset in any use of the data. The coordinate files in pdb format include fully glycosylated structures of the S1 subunit of SARS-CoV-2 spike protein (up and down confirmations) and a polystyrene slab., European Commission: MAT4COVID - Interaction of SARS-CoV-2 virus with materials: a multi computational simulation study. (101026158), Peer reviewed

Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179., European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110), Peer reviewed

Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2017 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179., European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110), Peer reviewed

Dataset associated to manuscript 2022JE007278, "Martian atmospheric temperature and density profiles during the 1st year of NOMAD/TGO solar occultation measurements", submitted on Feb 28th, 2022, to Journal of Geophysical Research - Planets (AGU) for the Special Issue "ExoMars Trace Gas Orbiter: One Martian Year of Science". Format and Number of datafiles: 1 README.txt and 1 tar file containing 325 ASCII files, one for each retrieved NOMAD scan. Each of these files contains one vertical profile of 7 parameters: altitude (km), Temperature in the last iteration (K), atmospheric pressure (mb), Temperature of First Guess (K), pressure of First Guess (mb), Temperature retrieval error (K) and diagonal element fo the Averaging Kernel matrix at that tangent altitude (normalized to 0-1). Also, the header of each file contains extra info, like the NOMAD "internal" data filename, and the ranges in latitude, longitude, Local time, Solar Longitude, tangent heights observed, and Line-of-Sight shift needed to obtain a good fit, together with the number of altitudes in the retrieval vector (usually around 100 km). See README file for more details., The IAA/CSIC team acknowledges financial support from the State Agency for Research of the Spanish MCIU through the ‘Center of Excellence Severo Ochoa’ award for the Instituto de Astrofísica de Andalucía (SEV-2017-0709) and funding by grant PGC2018-101836-B-100 (MCIU/AEI/FEDER, EU). F.G.G. is funded by the Spanish Ministerio de Ciencia, Innovación y Universidades, the Agencia Estatal de Investigación and EC FEDER funds under project RTI2018-100920-J-I00. ExoMars is a space mission of the European Space Agency (ESA) and Roscosmos. The NOMAD experiment is led by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA), assisted by Co-PI teams from Spain (IAA-CSIC), Italy (INAF-IAPS), and the United Kingdom (Open University). This project acknowledges funding by the Belgian Science Policy Office (BELSPO), with the financial and contractual coordination by the ESA Prodex Office (PEA 4000103401, 4000121493) as well as by UK Space Agency through grants ST/V002295/1, ST/V005332/1 and ST/S00145X/1 and Italian Space Agency through grant 2018-2-HH.0. Adrian Brines acknowledges grant PRE2019-088355 funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “ESF Investing in your future” or by “European Union NextGenerationEU/PRTR”. BF also acknowledges support by project PID2019-110689RB-I00/AEI/10.13039/501100011033., Peer reviewed

Peer reviewed

Peer reviewed