Find research datasets worth reusing

opencc-by-4.0Jun 2024View details →

Sitia, Crete island (Greece) - NEVERMORE Climate Dataset

The dataset consist of the historical and climate projection (CMIP6) for gridded atmospheric variables and the climate hazards/extreme events alongside the return values (likelihood) of hazards/extreme events. The dataset was developed during NEVERMORE project as part of WP3 from CMCC and NCSRD.

opencc-by-4.0Nov 2024View details →

Daily time series of 12 human thermal stress indices in Greece aggregated at commune level (1998-2022)

The overview table of the dataset containing 12 Human Thermal Stress Indices in Greece (HTSI-GR): <div> <table> <tbody> <tr> <th> Heat indices names </th> <th> Description </th> <th> Units </th> <th> Reference </th> <th> Dataset file names </th> </tr> <tr> <td> AT </td> <td> Apparent Temperature </td> <td> °C </td> <td> Steadman, R. G. Norms of apparent temperature in Australia. Aust. Met. Mag. 43, 1–16 (1994). </td> <td> AT_min_1998-01-01_2022-12-31.csv, AT_mean_1998-01-01_2022-12-31.csv, AT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> HI </td> <td> Heat Index </td> <td> °C </td> <td> Rothfusz, L.P. Te heat index equation. National Weather Service Technical Attachment. Report No. SR 90–23 (1990). </td> <td> HI_min_1998-01-01_2022-12-31.csv, HI_mean_1998-01-01_2022-12-31.csv, HI_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> Humidex </td> <td> Humidity Index </td> <td> °C </td> <td> Masterson, J. & Richardson, F.A. Humidex: a method of quantifying human discomfort due to excessive heat and humidity (Environment Canada, 1979). </td> <td> Humidex_min_1998-01-01_2022-12-31.csv, Humidex_mean_1998-01-01_2022-12-31.csv, Humidex_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> NET </td> <td> Normal Effective Temperature </td> <td> °C </td> <td> Landsberg HE. The assessment of human bioclimate: a limited review of physical parameters. Technical Note No. 123, WMO-No. 331 (World Meteorological Organization, 1972). </td> <td> NET_min_1998-01-01_2022-12-31.csv, NET_mean_1998-01-01_2022-12-31.csv, NET_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> WBGT </td> <td> Wet Bulb Globe Temperature (simple) </td> <td> °C </td> <td> Australian Bureau of Meteorology. Thermal comfort observations http://bom.gov.au/info/thermal_stress/ (2020). </td> <td> WBGT_min_1998-01-01_2022-12-31.csv, WBGT_mean_1998-01-01_2022-12-31.csv, WBGT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> thermofeelWBGT </td> <td> Wet Bulb Globe Temperature </td> <td> °C </td> <td> Stull, R. Wet-bulb temperature from relative humidity and air temperature. J. Appl. Meteorol. Climatol. 50, 2267–2269 (2011). </td> <td> thermofeelWBGT_min_1998-01-01_2022-12-31.csv, thermofeelWBGT_mean_1998-01-01_2022-12-31.csv, thermofeelWBGT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> WBT </td> <td> Wet Bulb Temperature </td> <td> °C </td> <td> Stull, R. Wet-bulb temperature from relative humidity and air temperature. J. Appl. Meteorol. Climatol. 50, 2267–2269 (2011). </td> <td> WBT_min_1998-01-01_2022-12-31.csv, WBT_mean_1998-01-01_2022-12-31.csv, WBT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> WCT </td> <td> Wind Chill Temperature </td> <td> °C </td> <td> Office of the Federal Coordinator for Meteorological services and supporting research (OFCM). Report on Wind Chill Temperature and extreme heat indices: evaluation and improvement projects. Report No. FCM-R19-2003 (U.S. Office of the Federal Coordinator for Meteorological Services and Supporting Research, 2003). </td> <td> WCT_min_1998-01-01_2022-12-31.csv, WCT_mean_1998-01-01_2022-12-31.csv, WCT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> MRT </td> <td> Mean Radiant Temperature </td> <td> °C </td> <td> Weihs, P. et al. The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from measured and observed meteorological data. Int. J. Biometeorol. 56, 537–555 (2012). </td> <td> MRT_min_1998-01-01_2022-12-31.csv, MRT_mean_1998-01-01_2022-12-31.csv, MRT_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> UTCI </td> <td> Universal Thermal Climate Index (UTCI) </td> <td> °C </td> <td> Bröde, P. et al. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol. 56, 481–494 (2012). </td> <td> UTCI_min_1998-01-01_2022-12-31.csv, UTCI_mean_1998-01-01_2022-12-31.csv, UTCI_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> UTCI2 </td> <td> Indoor environment UTCI with 2 parameters (air temperature and humidity) </td> <td> °C </td> <td> Bröde, P. et al. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol. 56, 481–494 (2012). </td> <td> UTCI2_min_1998-01-01_2022-12-31.csv, UTCI2_mean_1998-01-01_2022-12-31.csv, UTCI2_max_1998-01-01_2022-12-31.csv </td> </tr> <tr> <td> UTCI3 </td> <td> Outdoor shaded space environment UTCI with 3 parameters (air temperature, humidity, and wind speed) </td> <td> °C </td> <td> Bröde, P. et al. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI). Int. J. Biometeorol. 56, 481–494 (2012). </td> <td> UTCI3_min_1998-01-01_2022-12-31.csv, UTCI3_mean_1998-01-01_2022-12-31.csv, UTCI3_max_1998-01-01_2022-12-31.csv </td> </tr> </tbody> </table> </div>   The overview table of the HTSI-GR additional resources folder containing support files and instructions for dataset replication: <table> <tbody> <tr> <th> File names </th> <th> Description </th> </tr> <tr> <td> 0. Calculate thermofeelWBGT.py </td> <td> A python script that calculates the Wet Bulb Globe Temperature (WBGT) using the Thermofeel library. Processes NetCDF files containing daily meteorological data and outputs WBGT values in new NetCDF files for each day. </td> </tr> <tr> <td> 1. Merge_HI_by_max-mean-min.py </td> <td> A python script that merges daily NetCDF files containing heat index (HI) data into three separate files based on mean, maximum and minimum values for further processing. </td> </tr> <tr> <td> 2. QGIS_zonal_statistics.py </td> <td> A python script that calculates zonal statistics for heat indices using QGIS python console. Uses a shapefile of Greek communes and a raster NetCDF file containing daily index values, and outputs daily CSV files with computed statistics. </td> </tr> <tr> <td> 3. Zonal_format.py </td> <td> A python script that formats the zonal statistics results into a comprehensive dataset. Combines daily CSV files into a single CSV, fills in missing data using nearest neighbour values, and produces a final formatted dataset. </td> </tr> <tr> <td> Greek Communes.ZIP </td> <td> Contains the shapefile of Greek communes derived from the Hellenic Statistical Authority (ELSTAT) required for zonal statistics calculations. KALCODE and Commune names are linked in the .shp. </td> </tr> <tr> <td> Nearest Neighbour data table.csv </td> <td> A support table to script 3.Zonal_format.py that lists communes with missing data and their nearest neighbour with data. </td> </tr> <tr> <td> Read me.txt </td> <td> Provides an overview and instructions for using the scripts. Describes the purpose of each script, lists prerequisites, and provides step-by-step instructions for replicating the dataset. </td> </tr> </tbody> </table>

opencc-by-4.0Jun 2023View details →

Measured data and calculations of pilot RES system for a 103-m2 building in Athens, Greece

This dataset contains complete measurements of an energy system for a building in Athens, Greece (temperatures, flow rates, power, solar radiation, etc.). This system includes a vapour compression heat pump, 4 PVT collectors, a virtual BTES (emulated via a tank with controllable temperature) and three water tanks. A winter and summer day are included. The system operated for space cooling and hot water during the summer day and for space heating and hot water during the winter day. An in-house Python code of NCSR Demokritos has been applied to simulate the energy system operation during these two days for validation purposes. The calculated results are also given in this dataset.

Database 2 - Second-year samplings in the CodeRe-farm pilot sites in Greece

This database contains the results of the second year of AWIN assessments and general data recordings in the Greek goat pilots participating in the Code: Re-farm research project.

GR15 - High school - Kastoria (Greece)

Data files for building: GR15 - High school - Kastoria (Greece)Languages: Greek, EnglishThese files are part of the public benchmark repository created as a part of the crossCert EU project. This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.The files are organised in the following folders  (note that not all files are always provided):<ol><li>Main data  and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol>The files have been redacted to exclude confidential information.

GR11 - Educational - Kastoria (Greece)

Data files for building: GR11 - Educational - Kastoria (Greece)Languages: Greek, EnglishThese files are part of the public benchmark repository created as a part of the crossCert EU project. This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.The files are organised in the following folders  (note that not all files are always provided):<ol><li>Main data  and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol>The files have been redacted to exclude confidential information.

GR08 – Multi-apartment building - Tripoli (Greece)

Data files for building: GR08 – Multi-apartment building - Tripoli (Greece)Languages: Greek, EnglishThese files are part of the public benchmark repository created as a part of the crossCert EU project. This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.The files are organised in the following folders  (note that not all files are always provided):<ol><li>Main data  and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol>The files have been redacted to exclude confidential information.

GR06 – Multi-apartment building - Laganas (Greece)

Data files for building: GR06 – Multi-apartment building - Laganas  (Greece)Languages: Greek, EnglishThese files are part of the public benchmark repository created as a part of the crossCert EU project. This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.The files are organised in the following folders  (note that not all files are always provided):<ol><li>Main data  and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol>The files have been redacted to exclude confidential information.

GR03 - Single family house - Falhro (Greece)

Data files for building: GR03 - Single family house - Falhro (Greece)Languages: Greek, EnglishThese files are part of the public benchmark repository created as a part of the crossCert EU project. This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.The files are organised in the following folders  (note that not all files are always provided):<ol><li>Main data  and Results, with:<ol><li>Neutral data inventory.</li><li>Neutral results report.</li><li>Original EPC certificate.</li></ol></li><li>Energy Consumption Data, with:<ol><li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li></ol></li><li>Drawings<ol><li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.</li></ol></li><li>Other Data<ol><li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li></ol></li><li>Dynamic Model<ol><li>Data to run a dynamic model of the building, if available.</li></ol></li></ol>The files have been redacted to exclude confidential information.

openCC (other)Feb 2024View details →

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Community composition, richness, and density of endobionts from two sponge species in Crete, Greece, June 2021

These data was collected as part of a study titled "The “Single Hotel” hypothesis – Does sponge abundance affect endobionts’ diversity?" that was conducted in the island of Crete, Greece in June 2021. It includes collection of 30 sponge specimens of the common species (Agelas oroides and Sarcotragus foetidus) via SCUBA diving, their dissection and removal and identification of all endobionts living withing them (macroinvertebrates). The diversity of endobionts was then calculated and correlated with sponge properites (such as volume), and the sponges area and site of collection.

opencc-by-4.0Dec 2019View details →

(POST) Socio-economic and cultural dataset in relation to Persuasive Strategies to boost Energy Efficiency and in the UK, Spain, Greece and Austria

The dataset has been created from obtaining post-pilot answers from 106 participants of four different countries in the EU (the questionnaire can be studied in GreenSoul_Validation_Questionnaire-POST.pdf). It is composed by several factors which are explained in POST-coding.ods file. All these factors are contained in: "POST-results-socio-economic-model.ods" and "POST-results-treatments-evaluation.ods" along with their answers by participants. Finally, we provided a cleaned version of the dataset to study how can a researcher is able to forecast the ranking that a user will give to different persuasion strategies according to user profiles: "POST-results-ranking-model.ods"

opencc-zeroFeb 2019View details →

FIG. 1 in Two fossil conifer species from the Neogene of Alonissos Island (Iliodroma, Greece)

FIG. 1. — Geological sketch – map of Alonissos Island, by Jacobshagen & Matarangas (2004) (based on the work of Kelepertsis [1975] for the Institute of Geology and Mineral Exploration [I.G.M.E.]), modified. The Neogene formations are included by the red circles.

opencc-by-4.0Feb 2020View details →

Annual rainfall erosivity in Greece

Estimated mean annual erosivity values over Greece in (Mj.mm/ha/h/y) using precipitation records that suffered from a significant volume of missing values. As an intermediate step the creation of monthly precipitation and erosivity density models was utilized.

opencc-zeroApr 2019View details →

FIG. 6. — A1-A3 in Early Miocene Gastropods from the Felli Section (Proto-Mediterranean Sea NW Greece)

FIG. 6. — A1-A3, Costoanachis cf. terebralis (Grateloup, 1834), AMPG(IV) 2467; B1, B2, Pusia cf. pyramidella (Brocchi, 1814), AMPG(IV) 2469; C1-C4, Athleta rarispina (Lamarck, 1811), AMPG(IV) 2462; D1-D4, Mangelia (s.l.) sp.: D1, D2, AMPG(IV) 2474; D3, D4, AMPG(IV) 2475, detail of microsculpture (SEM images). Scale bars: A1, A2, B1, B2, D1, D2, 1 mm; C1-C4, 10 mm; D3, 300 μm; D4, 100 μm.

opencc-zeroApr 2019View details →

FIG. 9. — A1-A3 in Early Miocene Gastropods from the Felli Section (Proto-Mediterranean Sea NW Greece)

FIG. 9. — A1-A3, Turbonilla (s.l.) sp. 1, AMPG(IV) 2580; B1-B3, Turbonilla (s.l.) sp. 2, AMPG(IV) 2583; C1, C2, Turbonilla (s.l.) sp. 3, AMPG(IV) 2584; D1-D3, Turbonilla (s.l.) sp. 4: D1, AMPG(IV) 2586 (SEM image); D2, D3, AMPG(IV) 2687. Scale bars: 500 µm.

opencc-zeroApr 2019View details →

FIG. 8. — A1, A2 in Early Miocene Gastropods from the Felli Section (Proto-Mediterranean Sea NW Greece)

FIG. 8. — A1, A2, 'Odostomia' sp. 2, AMPG(IV) 2558; B1-B3, Megastomia sp. 1, AMPG(IV) 2560; C1, C2, Brachystomia sp., AMPG(IV) 2570; D1-D3, Megastomia sp. 2: D1, AMPG(IV) 2563; D2, D3, AMPG(IV) 2564; E1-E4, Pyramistomia aliakmoni n. sp.: E1, E2, holotype, AMPG(IV) 1500; E3, paratype 1, AMPG(IV) 1501 (SEM image); E4, AMPG(IV) paratype 1, AMPG(IV) 1501, protoconch (SEM image); F1-F4, Parthenina sp. 1: F1, F2, AMPG(IV) 1573; F3, AMPG(IV) 1574 (SEM image); F4, AMPG(IV) 1574, apex (SEM image); G1, G2, Parthenina sp. 2: G1, AMPG(IV) 2575; G2, AMPG(IV) 2575, apex (SEM image); H,?Syrnola sp., AMPG(IV) 2577 (SEM image). Scale bars: A1, A2, B1-B3, D1, G1, H, 500 µm; C1, C2, D2, D3, E1, E2, 1 mm; E3, F1, F2, 400 µm; E4, F3, 200 µm; F4, G2, 100 µm.

FIG. 7 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe

FIG. 7. — Comparison of the occlusal angle (OA) of various mammoth taxa from various localities in Europe. Data from Van Essen (2011) and obtained from illustrations from Palombo & Ferretti (2005) and Lister et al. (2005).

FIG. 3 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe

FIG. 3. — Dental remains of Mammuthus meridionalis vestinus (Azzaroli in Ambrosetti, Azzaroli, Bonadonna & Follieri, 1972) from Apollonia-1: A-C, left M3 fragment (APL-686B) in occlusal (A), buccal (B), and lingual (C) views; D-F, left m3 (APL-687) in occlusal (D), lingual (E), and buccal (F) views. Scale bar: 5 cm.

FIG. 2 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe

FIG. 2. — Right maxilla fragment with DP2-DP3 (APL-225) of Mammuthus meridionalis vestinus (Azzaroli in Ambrosetti, Azzaroli, Bonadonna & Follieri, 1972) from Apollonia-1: ventral (A), medial (B), and lateral (C) views. Scale bar: 5 cm.

FIG. 1. — A in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe

FIG. 1. — A, Geological map and simplified composite stratigraphic column of the Neogene and Quaternary lithostratigraphic units of Mygdonia Basin, showing the location of Apollonia-1 (map and column modified from Koufos et al. [1995] and Konidaris et al. [2015]); B, hemi-mandible APL-716 in situ; C, m3 APL-687 in situ.