Find research datasets worth reusing

opencc-by-4.0Jan 2021View details →

ECOBREED WP3 entomopathogenic fungi-wireworm data related to Razinger et al. (2020)

Raw data related to Figures 1 to 5 and Table 1 plus suplementary raw data of the publication Razinger et al. (2020) Frontiers in Plant Science 11:535005; doi: 10.3389/fpls.2020.535005.

opencc-by-4.0May 2022View details →

Field data obtained from the implementation of the Field Protocols (1, 2, and 3) from WP3 in B-GOOD Project

Dataset of the field data obtained from the implementation of the field protocols 1, 2, and 3, developed under B-GOOD (Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making, Grant agreement No. 81762) project in WP3. The primary goal of field data collection was to gather data that could be used for the validation of floral resources maps and models developed across the various tasks within WP3, and also to fill specific information gaps during the development of the phenological model. The fieldwork was conducted in three countries (Portugal, Belgium, and the United Kingdom) using three field protocols developed under B-GOOD and described in Milestone MS15. These protocols are part of Tasks 3.1 and 3.3 and serve various purposes. The primary goal of Field Protocol 1: "Assessment of plant species composition on key landscape elements/habitats important for bees" was to determine the species composition in selected key plant communities (i.e. landscape elements or habitats) important for bees. Field Protocol 1 was used to determine the plant species composition of specific ALMaSS landscape elements and to confirm/validate the plant composition of some BIOEUNIS habitat types, developed in Task 3.1. The main goal of Field Protocol 2: "Assessment of Phenology of Floral Resources for Bees" was to determine the flower phenology of targeted plant species to construct flowering phenological curves for targeted plant species. Field Protocol 2 was used to validate the floral resource models developed in Task 3.2 (see Section 2.4). The primary goal of Field Protocol 3: "Floral resources evaluation (detailed method)" was to conduct a detailed evaluation of the floral resources in each landscape window with B-GOOD mini-apiaries to map resource availability. Field protocol 3 was divided into two parts: Part 1 - “Assessment and quantification of floral resources”, aiming to determine the species composition, species cover, and flower abundance; and Part 2 - “Flowering species characterization”, aiming to quantify the number of flowers per individual plant, and the nectar and pollen production of target plant species. Field Protocol 3 was also used to make a detailed assessment of plant species composition and plant resources at the landscape level, as well as to fill the gaps in knowledge about pollen and nectar production of some target plant species. The field data collected by the implementations of the field protocols could be categorized into three main groups: Plant Species Composition (Field Protocol 1 and Field Protocol 3: Part 1), Phenology of Floral Resources (Field Protocol 2), and Flowering Species Characterization (Field Protocol 3: Part 2). Field protocols have been implemented in Portugal, the United Kingdom, and Belgium. Field protocols 2 and 3 were fully implemented in the three countries. However, field protocol 1 was not implemented as a stand-alone field protocol in Portugal and the United Kingdom due to logistical and time constraints primarily caused by the COVID pandemic. However, this does not hamper our ability to obtain landscape-specific plant composition data because the information gathered in this protocol can be derived entirely from the implementation of the first part of Field Protocol 3. As a result, for Portugal and the United Kingdom, Field Protocol 1 data was derived from the first part of Field Protocol 3. The full dataset gathered by the implementation of these three protocols is available here. The files “field-data-protocol-1-be.xlsx”, “field-data-protocol-1-pt.xlsx” and “field-data-protocol-1-uk.xlsx” have the field data obtained from the implementation of Field Protocol 1: "Assessment of plant species composition" in Belgium, Portugal, and the UK, respectively. The files “field-data-protocol-2-be.xlsx”, “field-data-protocol-2-pt.xlsx” and “field-data-protocol-2-uk.xlsx” have the field data obtained from the implementation of Field Protocol 2: "Assessment of Phenology of Floral Resources" in Belgium, Portugal, and the UK, respectively. The files “field-data-protocol-3-part-1-be.xlsx”, “field-data-protocol-3-part-1-pt.xlsx “and “field-data-protocol-3-part-1-uk.xlsx” have the field data obtained from the implementation of Field Protocol 3 - Part 1 “Assessment and quantification of floral resources” in Belgium, Portugal, and the UK, respectively. The file “field-data-protocol-3-part-2-be-pt-uk.xlsx” have the field data obtained from the implementation of Field Protocol 3 - Part 2 - “Flowering species characterization” in Belgium, Portugal, and the UK. For further details, see Alves da Silva et al. 2020. Field protocols for the assessment of Floral Resources. Milestone MS15 EU Horizon 2020 B-GOOD Project. GA No. 817622 and Ziółkowska et al 2022. Floral Resource Models Validation Deliverable D3.4 EU Horizon 2020 B-GOOD Project, GA No. 817622.

opencc-by-4.0Jul 2024View details →

FLOATECH WP3 experimental dataset : wave-tank hybrid testing of a 10 MW turbine based on a spar platform (ECN)

This dataset presents the experimental measurements made in the Hydrodynamic and Ocean Engineering wave tank of Ecole Centrale de Nantes, in France, with the model of a 10 MW turbine supported by a spar platform at a scale 1:40.  The tests were performed using a real-time hybrid testing method (or software-in-the-loop) called SoftWind presented and published in Ocean Engineering (the paper is available at this <a title="Paper SoftWind" href="https://doi.org/10.1016/j.oceaneng.2024.118390">link</a>).    Presentation of the experimental model: The model is presented in details in the provided Excel file "FLOATECH_C3_Project data and model description.xlsx".    In the dataset: The measurement files of the tests are gathered in folders by "series", and each test file has a test number. The series and the test conditions of each run are detailed in the provided Excel file "FLOATECH_C3_Database_Matrix.xlsx".  Decay tests, pull-out tests and hammer tests were performed and are given in the dataset.    Real-time simulation models The numerical models used in the real-time OpenFAST simulations are also provided in the compressed file "RT Simulations files.zip".    Data used in the published paper: Some of the tests were used in the paper (see <a title="Paper SoftWind" href="https://doi.org/10.1016/j.oceaneng.2024.118390">link</a>). The corresponding test numbers are given in the table below.  <table> <tbody> <tr> <td>Load cases</td> <td>Hs (m)</td> <td>Tp (s)</td> <td>Uhub (m/s)</td> <td>TI (%)</td> <td>Wave dir. (°)</td> <td>Wind dir(°)</td> <td>TestNum 1C</td> <td>TestNum 3C</td> <td>TestNum 5C</td> </tr> <tr> <td>1.2</td> <td>7</td> <td>12</td> <td>14</td> <td>13.8</td> <td>0</td> <td>0</td> <td>269</td> <td>268</td> <td>270</td> </tr> <tr> <td>2.1</td> <td>7</td> <td>12</td> <td>14</td> <td>13.8</td> <td>0</td> <td>25</td> <td>275</td> <td>307</td> <td>281</td> </tr> </tbody> </table>

opencc-by-4.0Apr 2021View details →

RRING Global Survey Research Dataset (WP3)

The RRING Work Package 3 (WP3) objective was to clarify how Research Funding Organisations (RFOs) and Research Performing Organisations (RPOs) operated within region-specific research and innovation environments. It explored how they navigated the governance and regulatory frameworks for Responsible Research and Innovation (RRI), as well as offering their perspectives on the entities responsible for RRI-related policy and action in their locales. This data set covers the global survey research part, which was designed to contextualise how RPOs and RFOs interacted within the research environment and with non-academic stakeholders. Countries were grouped according to the UNESCO regions of the world and key results per region are listed below. For a detailed analysis and further findings of the work completed under WP3 of the RRING project, please refer to the full deliverable document "State of the Art of RRI in the Five UNESCO World Regions" [link to be inserted].   European and North American States <ul> <li>‘Diverse and inclusive': Respondents were most attitudinally supportive of the importance of ensuring ethical principles were applied in R&I (92%), followed by diverse perspectives (88%), and gender equality (79%). Including ethnic minorities was the area which garnered the least attitudinal support (71%). Respondents took the most practical steps towards engaging with diverse perspectives (63%), and the least towards inclusion of ethnic minorities (24%).</li> <li>‘Anticipative and reflective’: Respondents widely agreed (82%) with the importance of ensuring R&I work does not cause concerns for society, but only 37% confirmed they had taken practical steps to ensure this.</li> <li>‘Open and transparent’: Vast majorities of respondents agreed on the importance of keeping R&I methods open and transparent (94%), with 65% also confirming they take practical steps to do this. An equally high number agreed on the importance of making the results of R&I work accessible to as wide a public as possible (94%), and 68% confirmed this through their reported actions. This indicated the smallest value-action gap of all RRI measures for respondents from European and North American countries. Attitudinal agreement on the importance of making data freely available to the public was lower (83%), as was the practical action aspect for this measure (45%).</li> <li>‘Responsive and adaptive to change’: Most respondents agreed (89%) that it was important to ensure their work addresses societal needs, and 62% confirmed that they take practical steps towards this aim.</li> </ul>   Latin American and Caribbean States <ul> <li>‘Diverse and inclusive': Respondents were most attitudinally supportive of the importance of gender equality in R&I (86%), followed by ensuring ethical principles are applied (85%), and diverse perspectives incorporated (83%). Including ethnic minorities was the area which garnered the least attitudinal support (77%). Respondents took the most practical steps towards ensuring ethical principles guide their work (50%), and the least towards including ethnic minorities (25%), but the smallest value action gap was found for gender equality.</li> <li>‘Anticipative and reflective’: Respondents agreed (79%) that it is important to ensure R&I work does not cause concerns for society, but only 29% confirmed they had taken practical steps to ensure this.</li> <li>‘Open and transparent’: The majority of respondents agreed on the importance of keeping R&I methods open and transparent (89%), with 45% indicating they had taken practical action. A majority also agreed on the importance of making the results of R&I work accessible to as wide a public as possible (88%), and 44% backed this up with practical action. Attitudinal agreement on the importance of making data freely available to the public was slightly lower (81%), as was the practical action aspect for this measure (35%).</li> <li>‘Responsive and adaptive to change’: Most respondents agreed (84%) that it was important to ensure their work addresses societal needs, and 49% confirmed that they take practical steps towards this aim.</li> </ul>   Asian and Pacific States <ul> <li>‘Diverse and inclusive': Respondents were most attitudinally supportive of the importance of ensuring ethical principles were applied in R&I (90%), followed by diverse perspectives (89%), and gender equality (86%). Including ethnic minorities was the area which garnered the least attitudinal support (76%). Respondents took the most practical steps towards engaging with diverse perspectives (65%), and the least towards including ethnic minorities (30%).</li> <li>‘Anticipative and reflective’: Respondents widely agreed (78%) with the importance of ensuring R&I work does not cause concerns for society, and 42% confirmed they had taken practical steps to ensure this.</li> <li>‘Open and transparent’: The majority of respondents agreed on the importance of keeping R&I methods open and transparent (91%), with 58% indicating they take practical steps to do this. A majority also agreed on the importance of making the results of R&I work accessible to as wide a public as possible (89%), and 64% backed this up with practical action. Attitudinal agreement on the importance of making data freely available to the public was lower (79%), as was the practical action aspect for this measure (40%).</li> <li>‘Responsive and adaptive to change’: Most respondents agreed (92%) that it was important to ensure their work addresses societal needs, and 69% confirmed that they take practical steps towards this aim. This was the RRI measure with the smallest valueaction gap for respondents from the Asian and Pacific region.</li> </ul>   Arab States <ul> <li>‘Diverse and inclusive': Respondents were most attitudinally supportive of the importance of ensuring ethical principles were applied in R&I (93%), followed by diverse perspectives (81%), and gender equality (85%). Including ethnic minorities was the area which garnered the least attitudinal support (74%). Respondents took the most practical steps towards engaging with diverse perspectives (66%), which equated to one of two equally small value-action gaps for respondents from Arab states, and the least practical steps towards inclusion of ethnic minorities (22%).</li> <li>‘Anticipative and reflective’: A high proportion of respondents (85%) agreed that it is important to ensure R&I work does not cause concerns for society. However, only 38% confirmed they had taken practical steps to ensure this.</li> <li>‘Open and transparent’: The majority of respondents agreed on the importance of keeping R&I methods open and transparent (89%), with 59% also confirming they take practical steps to do this. A majority also agreed on the importance of making the results of R&I work accessible to as wide a public as possible (90%), and 66% backed this up with practical action. Ensuring public accessibility of research results was the second of two measures with equally small value-action gaps. Attitudinal agreement on the importance of making data freely available to the public was much lower (78%), which also reflected the practical action aspect for this measure (49%).</li> <li>‘Responsive and adaptive to change’: Most respondents agreed (96%) that it was important to ensure their work addresses societal needs, and 68% confirmed that they take practical steps to achieve this.</li> </ul> African States <ul> <li>‘Diverse and inclusive': Respondents were most attitudinally supportive of the importance of ensuring engagement with diverse perspectives and expertise in R&I (91%), followed by ensuring ethical principles are applied (90%), and gender equality (89%). Including ethnic minorities was the area which garnered the least attitudinal support (74%). Respondents took the most practical steps towards ensuring ethical principles guide their work (57%), and the least towards including ethnic minorities (32%).</li> <li>‘Anticipative and reflective’: The majority of respondents (85%) agreed that it is important to ensure R&I work does not cause concerns for society, with 59% confirming that they take practical steps to ensure this.</li> <li>‘Open and transparent’: A high proportion of respondents agreed on the importance of keeping R&I methods open and transparent (90%), with 54% also confirming they take practical steps to do this. A majority also agreed on the importance of making the results of R&I work accessible to as wide a public as possible (86%), and 56% backed this up with practical action. Attitudinal agreement on the importance of making data freely available to the public was significantly lower (73%), as was the practical action aspect for this measure (38%).</li> <li>‘Responsive and adaptive to change’: Respondents mostly agreed (92%) that it was important to ensure their work addresses societal needs, and 64% confirmed that they take practical steps towards this aim. This was the RRI measure with the smallest valueaction gap for respondents from African states.</li> </ul>   Note: Please refer to the "RRING WP3 - Survey Data Documentation" document for detailed instructions on how to use this dataset.

opencc-by-4.0Feb 2023View details →

FLOATECH WP3 Experimental Wave Database

FLOATECH is a Horizon 2020 project funded under the Energy programme (<a href="https://cordis.europa.eu/programme/id/H2020_LC-SC3-RES-31-2020/en">LC-SC3-RES-31-2020 - Offshore wind basic science and balance of plant</a>). The consortium is coordinated by TU Berlin and implemented by 9 partners from 4 EU countries. The project runs from January 2021 to December 2023 and has received a budget of 4 Million € from the European Commission over these 3 years. FLOATECH aims at increasing the technical maturity and the cost competitiveness of floating offshore wind energy. This will be achieved by two types of actions: <ul> <li> The development, implementation and validation of a user-friendly and efficient design engineering tool (named QBlade-Ocean) performing simulations of floating offshore wind turbines with unseen aerodynamic and hydrodynamic fidelity. The more advanced modelling theories will lead to a reduction of the uncertainties in the design process and an increase of turbine efficiency. </li> <li> The development of two innovative control techniques (i.e. Active Wave-based feed-forward Control and the Active Wake Mixing) for Floating Wind Turbines and floaters, combining wave prediction and anticipation of induced platform motions. This is expected to reduce the wake effects in floating wind farms, leading to a net increase in the annual energy production of the farm. </li> </ul> The Work Package 3 of FLOATECH focuses on the advanced feed-forward wave-based control strategies for floating offshore wind turbines (FOWTs). This includes a prediction of the hydrodynamic force acting on the FOWT’s platform to mitigate the response of the structure while enhancing its performance. The experimental work carried out in Centrale Nantes in the context of this work package contains three experimental campaigns, listed below:     C1: Measurement of wave fields, used to perform a wave elevation prediction at the turbine’s position;     C2: FOWT in operations, development and validation of the 1-component aerodynamic force actuator, including force feedback loop and control to reproduce accurately the target aerodynamic thrust. The considered FOWT is the DTU 10 MW wind turbine supported by a spar platform designed at Centrale Nantes (Arnal, 2020);     C3: same FOWT in operations, including the feed-forward wave-based control with both a 1-component and a 6-component aerodynamic force actuators. This database presents the results of the campaign C1 as well as the prediction of the free surface elevation acting on the FOWT’s platform.

opencc-by-4.0Jan 2020View details →

InterFlex WP3 data set_ SGAM diagrams_interface data base_service identification

This data set contains the InterFlex demonstration use case descriptions in the form of SGAM diagrams as well as the interface data base which was used for different deliverables and the repective results within work package 3 "Impact and deployment analysis of the innovative solutions". There has also been one publication in this regard ( <a href="https://doi.org/10.1109/INDIN.2018.8472053">10.1109/INDIN.2018.8472053</a>) Furthermore, it includes the service mappings for the InterFlex (under GA 731289) demonstrators as an input for different WP3 3.1 subtasks, deliverbale (D3.2) as well as a scientific publication (ICRERA 2019, ID 239, online ISSN: 2572-6013)

MSCA-IF-896925_MaMo_WP3_01_MAL_Fieldwork

This .zip folder contains datasets related to data collected during the MaMo fieldwork research activities (WP3) held by Federica Pompejano (MSCA-IF Researcher) in July-August 2021 in the Maliq Plain, Korça district, South-East Albania. All datasets have been curated by Dr Federica Pompejano (MSCA-IF Researcher). All collected data aimed at providing extensive visual and audio documentation of the current conditions of the Albanian rural landscape and villages in the five representative macro-areas selected for the MaMo research project. The .zip folder contains: <ul> <li>WP3-A_01_MAL: Data contained in this folder refer to the macro-area coded as "01_MAL" - The reclamation of Maliq Marshy areas, Korça district.</li> </ul> Each of the listed folder contains .jpg files (Watermarked pictures); .xlsx files (Datasets) and .pdf files (Books of images). Unless otherwise specified in the .xlsx file as "Restricted", the data contained in this dataset are open for public disposal under the terms and conditions described in the CC BY-NC-SA 4.0 license. If an image has been classified as "Restricted" its usage is meant for the MaMo project purposes only. Nevertheless, a "Restricted" image can still be pre-viewed and consulted at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA) where all the MaMo data are stored, preserved, and are available for consultation under the Archive's terms and conditions.  The Scientific Archive of Ethnography and Folklore (IAKSA-ASA) is in Rruga Naim Frasheri 1, Tirana (Albania). E-mail contact is provided in metadata and in the .xlsx file. All photographs listed in this document have been taken by means of the single-lens reflex digital camera Nikon D3000 (lens 18.0-55.0 mm f/3.5-5.6) owned by the MSCA-IF researcher. Photographs representing people have been pixelated to ensure anonymity. Audio files (.wav) have been recorded by means of the ZOOM H2n Handy Recorder. Audio files are stored and available for consultation at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA): .xlsx file contain general information about the audio files.

MSCA-IF-896925_MaMo_WP3_05_SHK_Fieldwork

This .zip folder contains datasets related to data collected during the MaMo fieldwork research activities (WP3) held by Federica Pompejano (MSCA-IF Researcher) in the Bregu i Bunës rural area and the village of Koplik, Shkodra countryside, North-West Albania. All datasets have been curated by Dr Federica Pompejano (MSCA-IF Researcher). All collected data aimed at providing extensive visual and audio documentation of the current conditions of the Albanian rural landscape and villages in the five representative macro-areas selected for the MaMo research project. The .zip folder contains: <ul> <li>WP3-A_05_SHK: Data contained in this folder refer to the macro-area coded as "05_SHK" - The post-earthquake rural villages reconstruction in the Bregu i Bunës rural area, Shkodër countryside, Shkodër district.</li> </ul> The folders contain .jpg files (Watermarked pictures); .xlsx files (Datasets) and .pdf file (Books of images). Unless otherwise specified in the .xlsx file as "Restricted", the data contained in this dataset are open for public disposal under the terms and conditions described in the CC BY-NC-SA 4.0 license. If an image has been classified as "Restricted" its usage is meant for the MaMo project purposes only. Nevertheless, a "Restricted" image can still be pre-viewed and consulted at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA) where all the MaMo data are stored, preserved, and are available for consultation under the Archive's terms and conditions.  The Scientific Archive of Ethnography and Folklore (IAKSA-ASA) is in Rruga Naim Frasheri 1, Tirana (Albania). E-mail contact is provided in metadata and in the .xlsx file. All photographs listed in this document have been taken by means of the single-lens reflex digital camera Nikon D3000 (lens 18.0-55.0 mm f/3.5-5.6) owned by the MSCA-IF researcher. Photographs representing people have been pixelated to ensure anonymity. Audio files (.wav) have been recorded by means of the ZOOM H2n Handy Recorder. Audio files are stored and available for consultation at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA): .xlsx file contains general information about the audio files.

MSCA-IF-896925_MaMo_WP3_02_MYZ_Fieldwork

This .zip folder contains datasets related to data collected during the MaMo fieldwork research activities (WP3) held by Federica Pompejano (MSCA-IF Researcher) in November 2021 and December 2021 in the Myzeqe Plain (Fusha e Hoxharës, Fusha e Roskovecit and Fusha e Tërbufit) in the former agricultural state farms of Roskovec, Povelça, and "29 Nëntori" (Çërmë Sektor), Central Albania. All datasets have been curated by Dr Federica Pompejano (MSCA-IF Researcher). All collected data aimed at providing extensive visual and audio documentation of the current conditions of the Albanian rural landscape and villages in the five representative macro-areas selected for the MaMo research project. The .zip folder contains: <ul> <li>WP3-A_02_MYZ: Data contained in this folder refer to the macro-area coded as "02_MYZ" - The reclamation of Myzeqe plain, Fier district.</li> </ul> Each of the listed folder contains .jpg files (Watermarked pictures); .xlsx files (Datasets) and .pdf file (Books of images). Unless otherwise specified in the .xlsx file as "Restricted", the data contained in this dataset are open for public disposal under the terms and conditions described in the CC BY-NC-SA 4.0 license. If an image has been classified as "Restricted" its usage is meant for the MaMo project purposes only. Nevertheless, a "Restricted" image can still be pre-viewed and consulted at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA) where all the MaMo data are stored, preserved, and are available for consultation under the Archive's terms and conditions.  The Scientific Archive of Ethnography and Folklore (IAKSA-ASA) is in Rruga Naim Frasheri 1, Tirana (Albania). E-mail contact is provided in metadata and in the .xlsx file. All photographs listed in this document have been taken by means of the single-lens reflex digital camera Nikon D3000 (lens 18.0-55.0 mm f/3.5-5.6) owned by the MSCA-IF researcher. Photographs representing people have been pixelated to ensure anonymity. Audio files (.wav) have been recorded by means of the ZOOM H2n Handy Recorder. Audio files are stored and available for consultation at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA): .xlsx file contains general information about the audio files.

MSCA-IF-896925_MaMo_WP3_04_ASZ_Fieldwork

This .zip folder contains datasets related to data collected during the MaMo fieldwork research activities (WP3) held by Federica Pompejano (MSCA-IF Researcher) in June-July 2021 in the former socialist rural centre of the former agricultural and breeding cooperative of Asim Zeneli (Gjirokastra), South Albania. All datasets have been curated by Dr Federica Pompejano (MSCA-IF Researcher). All collected data aimed at providing extensive visual and audio documentation of the current conditions of the Albanian rural landscape and villages in the five representative macro-areas selected for the MaMo research project. The .zip folder contains: <ul> <li>WP3-A_04_ASZ: Data contained in this folder refer to the macro-area coded as "04_ASZ" - The establishment of the new agricultural and livestock rural residential centre of Asim Zeneli, Gjirokastër district.</li> </ul> The folders contain.jpg files (Watermarked pictures); .xlsx files (Datasets) and .pdf file (Books of images). Unless otherwise specified in the .xlsx file as "Restricted", the data contained in this dataset are open for public disposal under the terms and conditions described in the CC BY-NC-SA 4.0 license. If an image has been classified as "Restricted" its usage is meant for the MaMo project purposes only. Nevertheless, a "Restricted" image can still be pre-viewed and consulted at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA) where all the MaMo data are stored, preserved, and are available for consultation under the Archive's terms and conditions.  The Scientific Archive of Ethnography and Folklore (IAKSA-ASA) is in Rruga Naim Frasheri 1, Tirana (Albania). E-mail contact is provided in metadata and in the .xlsx file. All photographs listed in this document have been taken by means of the single-lens reflex digital camera Nikon D3000 (lens 18.0-55.0 mm f/3.5-5.6) owned by the MSCA-IF researcher. Photographs representing people have been pixelated to ensure anonymity. Audio files (.wav) have been recorded by means of the ZOOM H2n Handy Recorder. Audio files are stored and available for consultation at the Scientific Archive of Ethnography and Folklore (IAKSA), Akademia e Studimeve Albanologjike (ASA): .xlsx file contains general information about the audio files.

opencc-by-4.0May 2022View details →

Mapping of samples – Deliverables in WP3: Novel pyrolysis oil from non-food/feed biomass

In the H2020-project BioMates (www.biomates.eu, see chapter 4 “Funding and disclaimer”), RISE produced samples from ablative fast pyrolysis of herbaceous biomass in a TRL 5-plant. A dedicated document provides identifiers for relevant liquid samples and their blends [1]. The document at hand maps it to the substances reported to be used in the public deliverables and public deliverable summaries connected to Work Package 3 “Technology scale up and validation” of the BioMates-project, as far as mapping is not provided in the documents themselves.

opencc-by-4.0Dec 2021View details →

CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners__IT_UNIPI_2022.10.19_v02

Dataset containing information about the choice experiment carried out in Liguria Region for the CONSOLE Project

opencc-by-4.0Jun 2019View details →

WP3_TST_VCSEL&driverPerformance_v1

WP3_TST_D32-driverHXT14100_10GOOK_V1.mat WP3_TST_D32-driverHXT14100_10GPAM_V1.mat WP3_TST_D32-driverHXT14100-DMT-data-10GHz_V1.mat WP3_TST_D32-driverHXT14100-DMT-SNR-10GHz_V1.mat WP3_TST_D32-driverHXT14100-DMT-trainingSequence-10GHz_V1.mat WP3_TST_D32-driverHXT44100-DMT-data-10GHz_V1.mat WP3_TST_D32-driverHXT44100-DMT-SNR-10GHz_V1.mat WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz_equalizer_V1.mat WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz-noEqualizer_V1.mat WP3_TST_D32-driverHXT44100-DMT-trainingSequence-10GHz_V1.mat WP3_TST_D32-Drivers-characterization_V1.xslx The files contain experimental results (measurements). In particular, the time samples of 10-Gb/s OOK/PAM4 are recorded for a short-cavity VCSEL directly modulated by commercial IDT drivers. The VCSEL is bonded to the driver as explained in PASSION Deliverable D3.2 http://www.passion-project.eu/wp-content/uploads/2018/09/PASSION_D3.2_v1.0.pdf. Moreover, the results obtained with DMT modulation on 10 GHz bandwidth are recorded in the .mat files, together with the SNR obtained using the QPSK uniform loading. Finally, a characterization of the VCSELs with the experimented drivers is reported in the Excel file.

opencc-by-4.0Dec 2018View details →

PERCEIVE: WP3: Effectiveness of communication strategies of EU projects

This data set contains all the relevant data referred to PERCEIVE WP3, as tasks within WP3 are logically connected. Data analyzed within WP3, but collected in WP5, are included in the data set “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” (<a href="http://doi.org/10.5281/zenodo.1038041">http://doi.org/10.5281/zenodo.1038041</a>). Data analyzed in Task3.1 are mostly based on transcripts already included in the data set “PERCEIVE. WP1. Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries. Task1.2. Focus group with Cohesion Policy practitioners” (focus groups and other interviews). Task3.2 data are the results of a European wide online survey (at the moment this document is being compiled, the website of the survey is no longer online) targeting policy communicators and focused on three strategic aspects of communicating policy: a) factors of success and barriers, b) support from central institutions and c) communication mix and storytelling. Task3.3 data regard the analysis of social media communication from EU communication offices at both local and European level. Data covers a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions as well as twitter networks and timelines for international accounts and hashtags.  Task3.4 data contain elements used in the statistical modeling of communication efforts (see Deliverable 3.4, <a href="http://doi.org/10.6092/unibo/amsacta/6111">http://doi.org/10.6092/unibo/amsacta/6111</a> or <a href="http://doi.org/10.5281/zenodo.1318144">http://doi.org/10.5281/zenodo.1318144</a>). Data cover the algorithmic clustering of topics detected in Task5.3, data derived from the PERCEIVE survey, the code (R programming environment) used to run regression analyses, as well as the results of the analyses themselves. Task3.5 data refer to secondary publicly available data. Namely the collection of the PANORAMA magazine available at INFOREGIO, the Directorate of Regional Policy web portal (<a href="https://ec.europa.eu/regional_policy/en/information/publications/panorama-magazine/">https://ec.europa.eu/regional_policy/en/information/publications/panorama-magazine/</a>), and Eurobarometer data on “awareness” available at the Open Data Portal of the EC (<a href="http://ec.europa.eu/commfrontoffice/publicopinion/index.cfm">http://ec.europa.eu/commfrontoffice/publicopinion/index.cfm</a>). The textual content of PANORAMA magazine has been content analyzed and the results are made available as a .csv table of concepts’ frequencies per magazine issue.

opencc-by-4.0Sep 2021View details →

WP3-CT2 Alpine Glaciers Disappearance Tipping Point

Glaciers Length changes starting from small, medium, and large glaciers.

opencc-by-4.0Jul 2023View details →

IMP_Data_WP3_T3.2_Climate_change_adaptation_indicators_V1

The dataset contains a list of indicators, their description and the references used to get them for climate change adaptation monitoring