Resultados totales (Incluyendo duplicados): 4390
Encontrada(s) 439 página(s)
Encontrada(s) 439 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200260
Set de datos (Dataset). 2023
REAL-WORLD DATASETS FOR SUSTAINABLE PORTFOLIO SELECTION
- Garcia-Bernabeu, Ana|||0000-0003-3181-7745
The numerical information in these datasets consists of two files. The first file (Dataset_SRI.xlsx) contains the asset data of monthly returns and ESG risk scores for three fund managers from January 2011 to December 2019. The second file (Pareto_Fronts.xlsx) contains the mean-variance-ESG Pareto fronts and the Pareto sets of non-dominated solutions for each manager obtained using the ev-MOGA algorithm. To get these Pareto fronts, we have considered an in-sample period of 72 monthly returns over six years from January 2011 to December 2016. To implement the ev-MOGA algorithm, we use an initial population of 50000 individuals and an auxiliary population of 500. The number of boxes defining the space of each function is 100.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/200260
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200260
HANDLE: https://riunet.upv.es/handle/10251/200260
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200260
PMID: https://riunet.upv.es/handle/10251/200260
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200260
Ver en: https://riunet.upv.es/handle/10251/200260
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200260
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194651
Set de datos (Dataset). 2023
MEASURING QUALITY OF LIFE IN EUROPE: A NEW MULTICRITERIA APPROACH
MEASURING QUALITY OF LIFE IN EUROPE: A NEW MULTICRITERIA APPROACH
- Garcia-Bernabeu, Ana|||0000-0003-3181-7745
Quality of life indicators include measures of both objective and subjective well-being to broaden the traditional income-focused view towards a multidimensional view of welfare. In this paper, we develop a single reliable composite index that considers the effect of uncertainty and imprecision related to the specific nature of the phenomenon being measured. Additionally, we suggest a procedure for incorporating this new way of assigning priorities through multicriteria techniques. To this end, we propose a new multicriteria approach that introduces the recent notion of picture fuzzy sets to deal with uncertainty and imprecision in the assessment of objective and subjective dimensions of quality-of-life performance. To verify the effectiveness of the whole approach and the credibility of the results, we show its application for monitoring the quality of life in the European Union. Our results show that fuzzy numbers can be a useful tool when combined with multicriteria techniques in the prioritization phase of the criteria and that they increase the quality and reliability of the overall aggregate indicator. Moreover, we find that in a picture environment, the results are consistent regardless of the multicriteria approach used to provide a final ranking.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/194651
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194651
HANDLE: https://riunet.upv.es/handle/10251/194651
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194651
PMID: https://riunet.upv.es/handle/10251/194651
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194651
Ver en: https://riunet.upv.es/handle/10251/194651
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194651
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200255
Set de datos (Dataset). 2023
PREPARATION OF ELECTRODES BASED ON WO3 NANOSTRUCTURES FOR LI-ION BATTERIES
- Garcia-Anton, Jose|||0000-0002-0289-1324
- García-García, D.M.|||0000-0001-8951-4558
- Cifre-Herrando, Mireia|||0000-0002-8800-3585
- Blasco-Tamarit, E.|||0000-0001-7314-082X
- Roselló Márquez, Gemma
The data are related with the preparation of electrodes based on WO3 nanostructures used as anode materials for Li-ion batteries. The nanostructured WO3 thin film was effectively synthesized by an electrochemical procedure. Then, an annealing treatment at 600◦C in air environment for 4 h was carried out. In the second electrode synthesized, a carbon layer was uniformly deposited on WO3 nanostructures to obtain a WO3/C electrode. Finally, WO3/WS2 electrodes were prepared by means of in situ sulfurization of WO3 one-step solid-state synthesis using tungsten trioxide (WO3) and thiourea as precursor material. By using X-ray photoelectron spectroscopy, X-ray diffraction analysis and Raman spectra, the three electrodes have been morphologically characterized. Electrochemical properties were analysed by cyclic voltammogram, galvanostatic charge/discharge cycling, and electrochemical impedance spectroscopy.
DOI: https://riunet.upv.es/handle/10251/200255
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200255
HANDLE: https://riunet.upv.es/handle/10251/200255
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200255
PMID: https://riunet.upv.es/handle/10251/200255
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200255
Ver en: https://riunet.upv.es/handle/10251/200255
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200255
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
Set de datos (Dataset). 2023
UNCERTAINTY ASSESSMENT OF PROARRHYTHMIA PREDICTIONS DERIVED FROM MULTI-LEVEL IN SILICO MODELS
- Kopanska, Karolina
- Rodríguez-Belenguer, Pablo
- Llopis-Lorente, Jordi
- Pastor, Manuel
- Trenor Gomis, Beatriz Ana|||0000-0001-9166-6112
- Saiz Rodríguez, Francisco Javier|||0000-0002-9850-0825
[EN] These datasets were generated to train ("PopulationDrugsTrainingKrNaLCaL.xlsx") and test ("PopulationDrugsTestKrCaLNaL.xlsx") the uncertainty assessment models developed in the paper "Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models" by Kopanska, Rodríguez-Belenguer, et al., The authors received funding from the eTRANSAFE project, Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777365, supported from European Union's Horizon 2020 and the EFPIA. We also received funding from the SimCardioTest supported by European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016496. J.L.L. is being funded by the Ministerio de Ciencia, Innovacion y Universidades for the “Formacion de Profesorado Universitario” (Grant Reference: FPU18/01659). The work was also partially support by the Dirección General de Política Científica de la Generalitat Valenciana (PROMETEO/ 2020/043).
DOI: https://riunet.upv.es/handle/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
HANDLE: https://riunet.upv.es/handle/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
PMID: https://riunet.upv.es/handle/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
Ver en: https://riunet.upv.es/handle/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
Set de datos (Dataset). 2023
GEOREFERENCED DATASET OF ABANDONED CITRUS CROPS (COMUNITAT VALENCIANA, SPAIN)
- Morell-Monzó, Sergio|||0000-0001-8883-2618
- Sebastiá-Frasquet, M.-T.|||0000-0002-8042-5628
- Estornell Cremades, Javier|||0000-0003-0854-5358
This dataset contains georeferenced agricultural citrus parcels with information on crop status (non-productive, productive or abandoned) for the years 2019, 2020 and 2021 in GeoJSON format. The dataset is divided into 7 subsets (OLV_19, LSF_20, LSF_21, PV_21, TV_21, BP_21, and NL_21) in different locations of the Comunitat Valenciana (Spain). However, most of the data are located in the region of La Safor. Each of these subsets has its own characteristics in terms of sampling/classification method, date of acquisition and number of parcels. In total there are 1676 agricultural parcels labeled. The boundaries of the parcels are defined by the Geographic Information System of Agricultural Parcels (SIGPAC) database, which corresponds to the cadastral limits (“parcela” in SIGPAC nomenclature). Each parcel may contain one or more subplots ("recinto" in SIGPAC nomenclature) but with only one crop status. Data are derived from: Morell Monzó, S. (2023). “Desarrollo de procedimientos para la detección del abandono de cultivos de cítricos utilizando técnicas de teledetección” [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/193058, This data collection was partially created thanks to the funds provided by the Regional Government of Spain, Generalitat Valenciana, within the framework of the research project AICO/2020/246
Proyecto: Generalitat Valenciana//AICO/2020/246
DOI: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
HANDLE: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
PMID: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
Ver en: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
Set de datos (Dataset). 2023
CHARACTERIZATION OF WO3 NANOSTRUCTURES USED IN THE DEGRADATION OF METHYLPARABEN
- Garcia-Anton, Jose|||0000-0002-0289-1324
- Cifre-Herrando, Mireia|||0000-0002-8800-3585
- García-García, D.M.|||0000-0001-8951-4558
- Roselló Márquez, Gemma
The data were use to study the degradation of Methylparaben using WO3 Nanostructures. WO3 nanostructures were synthesized with different complexing agents (0.05 M H2O2 and 0.1 M citric acid) and annealing conditions (400 _C, 500 _C and 600 _C) to obtain optimal WO3 nanostructures to use them as a photoanode in the photoelectrochemical (PEC) degradation of an endocrine disruptor chemical. X-ray photoelectron spectroscopy was performed to provide information of the electronic states of the nanostructures. The crystallinity of the samples was observed by a confocal Raman laser microscope and X-ray diffraction. Furthermore, photoelectrochemical measurements (photostability, photoelectrochemical impedance spectroscopy, Mott–Schottky and water-splitting test) were also performed using a solar simulator with AM 1.5 conditions at 100 mW_cm-2. Once the optimal nanostructure was obtained, the PEC degradation of methylparaben was carried out. It was followed by ultra-high-performance liquid chromatography and mass spectrometry, which allowed to obtain the concentration of the contaminant during degradation and the identification of degradation intermediates.
DOI: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
HANDLE: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
PMID: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
Ver en: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/199150
Set de datos (Dataset). 2023
DORA DECLARATION TWEET COLLECTION
- Orduña-Malea, Enrique|||0000-0002-1989-8477
- Bautista Puig, Núria
This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.
Proyecto: Generalitat Valenciana//GV/2021/141
DOI: https://riunet.upv.es/handle/10251/199150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/199150
HANDLE: https://riunet.upv.es/handle/10251/199150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/199150
PMID: https://riunet.upv.es/handle/10251/199150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/199150
Ver en: https://riunet.upv.es/handle/10251/199150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/199150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202148
Set de datos (Dataset). 2023
BER-EVM-POWER-OVS-SCM (RAW DATA)
- Pérez Pascual, Mª Asunción|||0000-0002-6925-6878
This dataset contains the raw data of the measurements presented in the paper "Hardware Architecture of a QAM Receiver for Short-Range Optical Communications" (https://doi.org/10.1109/JLT.2022.3217357).
Data presents the BER and EVM measurements made by changing the optical power transmitted for the proposed modulator.
DOI: https://riunet.upv.es/handle/10251/202148
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202148
HANDLE: https://riunet.upv.es/handle/10251/202148
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202148
PMID: https://riunet.upv.es/handle/10251/202148
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202148
Ver en: https://riunet.upv.es/handle/10251/202148
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202148
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
Set de datos (Dataset). 2022
OPTIMAL IMPLEMENTATION OF CLIMATE CHANGE ADAPTATION MEASURES TO ENSURE LONG-TERM SUSTAINABILITY ON LARGE IRRIGATION SYSTEMS [DATASET]
CODE AND DATA SET
- Haro-Monteagudo, David
- Beguería, Santiago
Dataset and code to explore the results of climate change and water management scenario runs [EN]., Conjunto de datos y código para la exploración y visualización de los resultados de las simulaciones bajo condiciones de cambio climático y gestión de los recursos hídricos [ES]., Este trabajo ha contado con financiación del Fondo Europeo de Desarrollo Regional (FEDER) a través del Programa Interreg V España-Francia-Andorra (POCTEFA 2014-2020) de la Unión Europea; de la Agencia Estatal de Investigación de España en el marco de la convocatoria cofinanciada ERA-NET WaterWorks 2015; y de la Fundación Biodiversidad del Ministerio para la Transición Ecológica de España. Los autores quieren también agradecer de forma especial a la Confederación Hidrográfica del Ebro (CHE) y a la Comunidad General de Riegos del Alto Aragón (CGRAA) por el apoyo recibido en la recopilación de datos, validación de los modelos, y creación de un foro de comunicación con los regantes y gestores de los recursos hídricos., No
Proyecto: //
DOI: http://hdl.handle.net/10261/286982
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
HANDLE: http://hdl.handle.net/10261/286982
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
PMID: http://hdl.handle.net/10261/286982
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
Ver en: http://hdl.handle.net/10261/286982
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/286982
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338754
Set de datos (Dataset). 2023
UNPUBLISHED MEDITERRANEAN AND BLACK SEA RECORDS OF MARINE ALIEN, CRYPTOGENIC, AND NEONATIVE SPECIES
- Ragkousis, Michail
- Zenetos, Argyro
- Ben Souissi, Jamila
- Hoffman, Razy
- Ghanem, Raouia
- Taşkın, Ergün
- Muresan, Mihaela
- Karpova, Evgeniia
- Slynko, Elena
- Dağlı, Ertan
- Fortič, Ana
- Surugiu, Victor
- Mačić, Vesna
- Trkov, Domen
- Rjiba-Bahri, Wafa
- Tsiamis, Konstantinos
- Ramos-Esplá, Alfonso A.
- Petović, Slavica
- Ferrario, Jasmine
- Marchini, Agnese
- Sconfietti, Renato
- Ammar, Izdihar
- Alo, Alaa
- Edelist, Dori
- Begun, Tatiana
- Teaca, Adrian
- Tari, Gokhan
- Huseyinoglu, Mehmet Fatih
- Karachle, Paraskevi K.
- Dogrammatzi, Aikaterini
- Apostolopoulos, Giorgos A.
- Crocetta, Fabio
- Kytinou, Eleni
- Digenis, Markos
- Skouradakis, Grigorios
- Tomàs, Fiona
- Bariche, Michel
- Kaminas, Alexandros
- Konida, Kassiani
- Deidun, Alan
- Marrone, Alessio
- Fraschetti, Simonetta
- Mihneva, Vesselina
- Bianchi, Carlo Nike
- Morri, Carla
- Gerovasileiou, Vasilis
- Lipej, Lovrenc
- Sini, Maria
- Mangialajo, Luisa
- Zotou, Maria
- Skolka, Marius
- Azzurro, Ernesto
- Vella, Adriana
- Dailianis, Thanos
- Grigoriou, Panos
- Jiménez, Carlos
- Tsirintanis, Konstantinos
- Oikonomidis, Georgios
- Mancini, Emanuele
- Papadakis, Orestis
- Di Martino, Vincenzo
- Chatzigeorgiou, Giorgos
- Ben Amor, Mohamed Mourad
- Vernadou, Emmanouela
- Arda, Yaprak
- Minasidis, Vasileios
- Azzola, Annalisa
- Hadjioannou, Louis
- Montefalcone, Monica
- Baldacchino, Yacopo
- Stancanelli, Bessy
- Bonifazi, Andrea
- Occhipinti-Ambrogi, Anna
- Smeraldo, Sonia
- Evans, Julian
- Kondylatos, Gerasimos
- Falautano, Manuela
- Castriota, Luca
- Lamprou, Aggelos
- Rizgalla, Jamila
- Mavrič, Borut
- Papadimitriou, Evangelos
- Kersting, D. K.
- Schembri, Patrick J.
- Khamassi, Faten
- Nikolaou, Athanasios
- Ballesteros, Enric
- Dimitriadis, Charalampos
- García, María
- Anastasiadis, Athanasios
- Kalogirou, Stefanos
- Nalmpanti, Melina
- Altamirano, María
- Grech, Daniele
- Mavrouleas, Dimitrios
- Vella, Noel
- Darmanin, Sandra Agius
- Dragičević, Branko
- Poursanidis, Dimitris
- Tsatiris, Alexandros
To enrich spatio-temporal information on the distribution of alien, cryptogenic, and neonative species in the Mediterranean and the Black Sea, a collective effort by 173 marine scientists was made to provide unpublished records and make them open access to the scientific community. Through this effort, we collected and harmonized a dataset of 12,649 records. It includes 247 taxa, of which 217 are Animalia, 25 Plantae and 5 Chromista, from 23 countries surrounding the Mediterranean and the Black Sea. Chordata was the most abundant taxonomic group, followed by Arthropoda, Mollusca, and Annelida. In terms of species records, Siganus luridus, Siganus rivulatus, Saurida lessepsianus, Pterois miles, Upeneus moluccensis, Charybdis (Archias) longicollis, and Caulerpa cylindracea were the most numerous. The temporal distribution of the records ranges from 1973 to 2022, with 44% of the records in 2020–2021. Lethrinus borbonicus is reported for the first time in the Mediterranean Sea, while Pomatoschistus quagga, Caulerpa cylindracea, Grateloupia turuturu, and Misophria pallida are first records for the Black Sea; Kapraunia schneideri is recorded for the second time in the Mediterranean and for the first time in Israel; Prionospio depauperata and Pseudonereis anomala are reported for the first time from the Sea of Marmara. Many first country records are also included, namely: Amathia verticillata (Montenegro), Ampithoe valida (Italy), Antithamnion amphigeneum (Greece), Clavelina oblonga (Tunisia and Slovenia), Dendostrea cf. folium (Syria), Epinephelus fasciatus (Tunisia), Ganonema farinosum (Montenegro), Macrorhynchia philippina (Tunisia), Marenzelleria neglecta (Romania), Paratapes textilis (Tunisia), and Botrylloides diegensis (Tunisia)., Stelios Katsanevakis, Michail Ragkousis, Maria Sini, Markos Digenis and Vasilis Gerovasileiou were supported by the Hellenic Foundation for Research and Innovation (HFRI) under the “First Call for HFRI Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant” (Project ALAS – “ALiens in the Aegean – a Sea under siege” (Katsanevakis et al. 2020b); Project Number: HFRI-FM17-1597). Konstantinos Tsirintanis was co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning”, 2014-2020, in the context of the Act “Enhancing Human Resources Research Potential
by undertaking a Doctoral Research” Sub-action 2: IKY Scholarship Programme for PhD candidates in the Greek Universities. Maria Zotou was supported by the project “Coastal Environment Observatory and Risk Management in Island Regions AEGIS+” (MIS 5047038), implemented within the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020), co financed by the Hellenic Government (Ministry of Development and Investments) and the European Union (European Regional Development Fund, Cohesion Fund). Razy Hoffman was supported by Yad-Hanadiv Foundation, through the Israel Society of Ecology and Environmental Sciences and Israel Nature and Parks Authority, an integrated program for establishing biological baselines and monitoring protocols for marine reserves in
the Israeli Mediterranean Sea (Grant #10669). Tatiana Begun, Adrian Teaca and Mihaela
Muresan were supported by the European Union’s Horizon 2020 BRIDGE-BS project under
grant agreement no. 101000240. Fiona Tomas was supported by the project “Invasion of the
tropical alga Halimeda incrassata in the Balearic Islands: ecology and invasion dynamics
(AAEE119/2017)”, funded by the Vicepresidencia y Consejería de Innovación, Investigación y
Turismo del Govern de les Illes Balears, with support from the European Union and FEDER
funds, and the project “Una nueva alga invasora en el Mediterráneo: invasibilidad, detección y
erradicación del alga tropical Halimeda incrassata (INVHALI)”, funded by the Fundación
Biodiversidad, del Ministerio para la Transición Ecológica y el Reto Demográfico. Simonetta
Fraschetti, Laura Tamburello, Antonia Chiarore were supported by the project PO FEAMP
2014-2020 - DRD n. 35/2019, “Innovazione, sviluppo e sostenibilità nel settore della pesca e
dell'acquacoltura per la Regione Campania” (ISSPA 2.51) and the EU EASME - EMFF
(Sustainable Blue Econ-omy) Project AFRIMED (http://afrimed-project.eu/, grant agreement N.
789059). Carlos Jimenez, Louis Hadjioannou, Vasilis Resaikos, Valentina Fossati, Magdalene
Papatheodoulou, and Antonis Petrou were supported by MedPan Small Projects, Mava, and
LIFE-IP. Louis Hadjioannou, Manos L. Moraitis and Neophytos Agrotis received funding from
the European Union’s Horizon 2020 research and innovation program within the framework of
the CMMI/MaRITeC-X project under grant agreement No. 857586. Ernesto Azzurro was
supported by the project USEIt - Utilizzo di Sinergie operative per la gestione integrata specie
aliene Invasive in Italia, funded by the research programme @CNR. Antonietta Rosso and
Francesco Sciuto were supported by the University of Catania through “PiaCeRi-Piano
Incentivi per la Ricerca di Ateneo 2020–22 linea di intervento 2.” This is the Catania
Paleoecological Research Group contribution n. 484. Diego K. Kersting was supported by the
Beatriu de Pinós programme funded by the Secretary of Universities and Research
(Government of Catalonia) and the Horizon 2020 programme of research and innovation of the
European Union under the Marie Sklodowska-Curie grant agreement No 801370. Francesco
Tiralongo was supported by the AlienFish project of Ente Fauna Marina Mediterranea
(Scientific Organization for Research and Conservation of Marine Biodiversity, 96012 Avola,
Italy), a citizen science project for monitoring and studying rare and non-indigenous fish in
Italian waters. Adriana Vella, was supported by funds through the BioCon_Innovate Research
Excellence Grant from the University of Malta awarded to her. Noel Vella was supported by
REACH HIGH Scholars Programme-Post Doctoral Grant for the FINS project. Some of the
records provided by Victor Surugiu were obtained during surveys carried out within the
framework of the project “Adequate management of invasive species in Romania, in accordance
with EU Regulation 1143/2014 on the prevention and management of the introduction and spread
of invasive alien species”, SMIS 2014+ 120008, coordinated by the Romanian Ministry of
Environment, Water and Forests in partnership with the University of Bucharest (2018–2022).
Alan Deidun and Alessio Marrone were supported by the “Spot The Alien” citizen science
campaign for the monitoring of the Alien species in the Maltese archipelago and by the Interreg
Italia-Malta Harmony project. The authors from the National Institute of Biology (Slovenia)
acknowledge the financial support of the Slovenian Research Agency (Research Core Funding
No. P1-0237) and of the Ministry of Agriculture, Forestry and Food (project “Survey of the
species richness and abundance of alien species in the Slovenian Sea”). Emanuele Mancini and
Fabio Collepardo Coccia were supported by the project PO-FEAMP 2014-2020 “BIOBLITZ:
research, knowledge and participation for the sustainable management of marine resources
(BioBlitz Blu 2020)” coordinated by CURSA for MIPAAF, the Italian Ministry of Agricultural,
Food and Forestry Policies, Measure 1.40 - Protection and restoration of biodiversity and marine
ecosystems and compensation schemes in the context of sustainable fishing activities. Daniele
Grech was supported by the PO-FEAMP 2014-2020 project ECOGESTOCK “Approccio
ECOsistemico per la tutela e la GEStione delle risorse biologiche e STOCK ittici nelle acque
interne”, the citizen science project Progetto Fucales: chi le ha viste? and the Paralenz Every
dive counts sponsor. Jamila Rizgalla was supported by the project Snowball for the monitoring
of alien species in Libyan waters له اهتفش له اهتدطصا ؟) have you seen it have you fished it?).
Gerasimos Kondylatos and Dimitrios Mavrouleas were supported by the project “EXPLIAS”
(MIS (ΟΠΣ): 5049912), design and piloting methods of commercial exploitation of invasive
alien species with a view to contributing to their population control, coordinated by the National
Technical University of Athens with the collaboration of the Hellenic Centre for Marine
Research and the University of the Aegean and co-founded by Greece and the European Union.
G. Kondylatos and Savvas Nikolidakis were supported by the project “SAMOS” (ID CODE:
32.2072004/001), a study for a submarine productive park in Marathokampos of Samos.
Paraskevi K. Karachle, Aikaterini Dogrammatzi, Giorgos A. Apostolopoulos, Kassiani Konida
and Melina Nalmpanti were supported by the project “4ALIEN: Biology and the potential
economic exploitation of four alien species in the Hellenic Seas”, funded by NRSF 2017-2020
(MIS (ΟΠΣ): 5049511). Fabio Crocetta and Riccardo Virgili were partially funded by the
project PO FEAMP Campania 2014–2020, DRD n. 35 of 15th March 2018, Innovazione,
sviluppo e sostenibilità nel settore della pesca e dell’acquacoltura per la regione Campania, Misura 2.51, WP5, Task 5.5 Presenza e distribuzione di specie non indigene del macrozoobenthos e del
necton in Campania. Michel Bariche was partially funded by the University Research Board of
the American University of Beirut (DDF 103951/2592). Constantinos G. Georgiadis, Dimitra
Lida Rammou, Paschalis Papadamakis and Sotiris Orfanidis were supported by the MSFD
monitoring program. Sonia Smeraldo was supported by the MPA-Engage project, led by the
Institute of Marine Sciences of the Spanish National Research Council and funded by the
Interreg MED program. Evgeniia Karpova acknowledge that the publication of this article was
in part carried out within the framework of the state assignment of the FRC IBSS “Patterns of
Formation and Anthropogenic Transformation of Biodiversity and Bioresources of the Azov–
Black Sea Basin and Other Regions of the World Ocean” (No. 121030100028-0). Elena Slynko’s
work was carried out within the framework of a State Assignment no. 121051100109-1 of
IBIW RAS. Manuela Falautano and Luca Castriota were supported by ISPRA citizen science
campaigns for the monitoring of alien species through the dedicated institutional project
(alien@isprambiente.it). María Altamirano was supported by the project RUGULOPTERYX
funded by Fundación Biodiversidad-Ministerio para la Transición Ecológica y el reto Demográfico
(Spain) and the project UMA20-FEDERJA-006 with support from the European Union and
FEDER funds and Junta de Andalucía. Records provided by L. Mangialajo were collected in
the framework of projects funded by the Pew Charitable Trust, by the European Commission
(AFRIMED, http://afrimed-project.eu/, grant agreement N. 789059) and by the Académie 3 de
l’Université Côte d’Azur (projet CONVOST)., Peer reviewed
DOI: http://hdl.handle.net/10261/338754, https://api.elsevier.com/content/abstract/scopus_id/85164370126
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338754
HANDLE: http://hdl.handle.net/10261/338754, https://api.elsevier.com/content/abstract/scopus_id/85164370126
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338754
PMID: http://hdl.handle.net/10261/338754, https://api.elsevier.com/content/abstract/scopus_id/85164370126
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338754
Ver en: http://hdl.handle.net/10261/338754, https://api.elsevier.com/content/abstract/scopus_id/85164370126
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338754
Buscador avanzado