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79 results for “Athene”
S21 | UATHTARGETS | University of Athens Target List
<p>This is the collection associated with list S21 UATHTARGETS on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S21 | UATHTARGETS | <strong>University of Athens Target List </strong></p> <p>Update 22/3/2020: added InChIKey file. Update 8/2/2022: new files from Dec 2021 with new compounds, NORMAN ID, classification and comments (provided by Maristina Nika). (v0.2.1 - attempted fix of CSV headers; v0.2.2 many small fixes flagged via PubChem deposit)</p> <p>Additional grant acknowledgement: Aristeia-Excellence: Transformation products of emerging pollutants in the aquatic environment (TREMEPOL project), 2012-2015, European Social Fund-Ministry of Education, <a href="http://tremepol.chem.uoa.gr/">http://tremepol.chem.uoa.gr/</a></p>
S65 | UATHTARGETSGC | University of Athens GC-APCI-HRMS Target List
<p>This is the collection associated with list S65 UATHTARGETSGC - University of Athens GC-APCI-HRMS Target List on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>GC-APCI-HRMS target list of University of Athens. Provided by the research group of Prof. Nikolaos Thomaidis (<a href="http://trams.chem.uoa.gr/">http://trams.chem.uoa.gr/</a>) and hosted on the NORMAN Suspect List Exchange (<a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a>). DOI: 10.5281/zenodo.3753372.</p> <p>Updated Feb 2024 following feedback from Peter Oswald, EI.</p>
S56 | UOATARGPHARMA | Target Pharmaceutical/Drug List from University of Athens
<p>This is the dataset associated with list S56 UOATARGPHARMA on the NORMAN Suspect List Exchange:</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p>
S8 | ATHENSSUS | University of Athens Surfactants and Suspects List
<p>This is the collection associated with list S8 ATHENSSUS on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/?q=suspect-list-exchange">https://www.norman-network.com/?q=suspect-list-exchange</a></p> <p>S8ATHENSSUS<strong>University of Athens Surfactants and Suspects List </strong></p> <p>Gago Ferrero <em>et al </em><a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/GagoFerrero_etal_2015_SuspectsNontargets_wDTXSIDs.csv">CSV</a>, <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/GagoFerrero_etal_2015_SuspectsNontargets_wDTXSIDs.xlsx">XLSX</a> (3/10/2017)</p> <p>CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/athenssus">ATHENSSUS List</a></p> <p><a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/UniAthens_SuspectAndSurfactants_InChIKeys.txt">UniAthens InChIKeys</a> (28/01/2016)</p> <p>Gago-Ferrero <em>et </em><em>al</em>. 2015. DOI: <a href="http://pubs.acs.org/doi/abs/10.1021/acs.est.5b03454">10.1021/acs.est.5b03454</a></p>
3D Archaeological Greek Pottery: PT-PC-Athens-1814, Attic white ground lekythos, Sappho Painter
<p><strong>This 3D dataset is related to the publication</strong>:</p> <ul> <li>Moitinho de Almeida, V. (2023). "<a href="https://www.researchgate.net/publication/353038967_Contributions_of_3D_digital_methods_and_techniques_to_the_study_of_ancient_pottery">Contributions of 3D digital methods and techniques to the study of ancient pottery</a>". In <em>Myths, Gods, and Heroes. Greek vase collections in Portugal / Mitos, Deuses e Heróis. As coleções de vasos gregos em Portugal</em>. R. Morais, R. Centeno, D. Ferreira (eds.). Câmara Municipal de Santa Maria da Feira - Museu Convento dos Lóios; Reitoria da Universidade do Porto; Faculdade de Letras da Universidade do Porto; Imprensa da Universidade de Coimbra. Pp.269-291. (ISBN: 978-989-8183-25-5)</li> </ul> <p>3D processed dataset for object Athens-1814 from a private collection in Portugal. <strong>CC BY-NC-SA 4.0 license</strong>.</p> <p>Athens-1814 is an Attic white ground <em>lekythos</em>, Sappho Painter, dating from c. 490 BCE, and from the Necropolis of Piraeus, Athens (Edward Dodwell, before 1805) (Morais et al., 2021).</p> <p><strong>Aims</strong>: 3D digital documentation; morphological characterization; technological and functional analysis of archaeological Greek pottery.</p> <p><strong>Data acquisition</strong>: at the Museu de História Natural e da Ciência da Universidade do Porto (MHNC-UP), with a portable non-contact structured white light scanner, Breukmann smartSCAN3D-HE, equipped with stereo colour cameras at 250 mm FOV. Additional metadata included in associated spreadsheet.<br><strong>Data processing</strong>: 26 scans aligned and merged. PT-PC-Athens-1814_3D01.ply: non-manifold edges, self-intersections, small components, and small tunnels in the mesh automatically fixed, noise data removed; orientation and position normalised. PT-PC-Athens-1814_3D01-holesFilled.ply: holes filled for calculation of material density, filling volume, and centre of mass. Mesh is not watertight (inner surface not digitised due to occlusion). Additional metadata included in associated spreadsheet.</p> <p>Access to the Athens-1814 was granted by its private collector.</p> <p>When citing this material: please include the original inventory ID (Athens-1814) reference to the physical object.</p>
Geospatial, biophysical and socioeconomic data for the Athens municipality on a zipcode resolution
<p>A collated dataset from various remote sensing, local and national sources. </p>
Measured data and calculations of pilot RES system for a 103-m2 building in Athens, Greece
<p>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.</p> <p>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.</p>
Heatwaves characterization derived from observations and climate projections to assess thermal behavior of 7 European city-hubs: Milano, Athens, Logroño, Cork, Gdynia, Lillestrøm and Amsterdam (1981-2100)
<p>This dataset includes the processing results used to create the interactive climate service <a href="https://thermal-assessment.urban.tecnalia.dev/">Thermal Assessment Tool</a>. It provides frequency and severity of heatwaves under past, current and future climate conditions which allows to estimate the thermal behavior of regions and cities in Europe during episodes of extreme heat.</p> <p>A heatwave is typically defined as a “prolonged” period of “extremely high” temperature for a particular region or location. In REACHOUT, “prolonged” is defined by a period of two or more days and “extremely high” is determined per region when daily maximal temperature exceeds its threshold (95th percentile) and the daily minimum temperature exceeds its threshold (90th percentile). The percentiles were obtained considering the values of maximum and minimum temperatures of the region during the summer season of the baseline period of 1981 to 2010.</p> <p>To provide homogeneous data for the whole EU, the input variables used to generate this dataset come from the public, independent and authoritative <a href="https://climate.copernicus.eu/">Copernicus Climate Change Service</a> (C3S). For the observations the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-gridded-observations-europe?tab=overview">e-OBS</a> dataset is used and for the future projections the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview">EURO-CORDEX</a> dataset. The intermediate (<strong>RCP4.5</strong>) and very high (<strong>RCP8.5</strong>) emissions scenarios were considered. All the data was downloaded from the <a href="https://cds.climate.copernicus.eu/">Copernicus Climate Data Store</a> (CDS).</p> <p>The database is organized in three datasets:</p> <p>Regional_eobs_thresholds_Reachout.csv: contains the thresholds that were used to detect the heatwaves for each region. They were calculated considering the values of maximum and minimum temperatures during the summer season of the baseline period (1981-2010). The columns are:</p> <ul> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>tmax</strong>: daily maximum temperature threshold.</li> <li><strong>tmin</strong>: daily minimum temperature threshold.</li> </ul> <p>Historical_eobs_heatwaves_Reachout.csv: heatwaves of the historical period (1981-2021) for each region. The columns are:</p> <ul> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>start</strong>: first date of the heatwave.</li> <li><strong>tmax</strong>: maximum temperature reached during the heatwave.</li> <li><strong>intensity</strong>: the sum of the degrees of the maximum and minimum temperatures over their corresponding thresholds.</li> <li><strong>duration</strong>: duration of the heatwave.</li> </ul> <p>Future_and_baseline_eobs_heatwaves_Reachout.csv: ensemble future projections of heatwaves. The columns are:</p> <ul> <li><strong>hazard_level</strong>: it can be a warning, an alert or an alarm.</li> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>experiment</strong>: emission scenario. It can be baseline, rcp-4-5 or rcp-8-5.</li> <li><strong>period</strong>: it can be 1981-2010 for the baseline or 2011-2040, 2021-2050, 2031-2060, 2041-2070, 2051-2080, 2061-2090 or 2071-2100 for the future.</li> <li><strong>decade_frequency</strong>: decade mean frequency. In the case of the future this is the ensemble of the models.</li> <li><strong>decade_frequency_best</strong>: only applicable to the future. It determines the best projection among the models.</li> <li><strong>decade_frequency_worst</strong>: only applicable to the future. It determines the worst projection among the models.</li> <li><strong>year_days</strong>: average annual days.</li> <li><strong>year_tmax_intensity</strong>: the average annual degrees of the maximum temperature over its corresponding threshold.</li> <li><strong>year_tmin_intensity</strong>: the average annual degrees of the minimum temperature over its corresponding threshold.</li> </ul>
Heatwaves characterization derived from reanalysis and climate projections to assess thermal behavior of 7 European city-hubs: Milano, Athens, Logroño, Cork, Gdynia, Lillestrøm and Amsterdam (1981-2100)
<p>This dataset includes the processing results used to create the interactive climate service <a href="https://thermal-assessment.urban.tecnalia.dev/">Thermal Assessment Tool</a>. It provides frequency and severity of heatwaves under past, current and future climate conditions which allows to estimate the thermal behavior of regions and cities in Europe during episodes of extreme heat.</p> <p>A heatwave is typically defined as a “prolonged” period of “extremely high” temperature for a particular region or location. In REACHOUT, “prolonged” is defined by a period of two or more days and “extremely high” is determined per region when daily maximal temperature exceeds its threshold (95th percentile) and the daily minimum temperature exceeds its threshold (90th percentile). The percentiles were obtained considering the values of maximum and minimum temperatures of the region during the summer season of the baseline period of 1981 to 2010.</p> <p>To provide homogeneous data for the whole EU, the input variables used to generate this dataset come from the public, independent and authoritative <a href="https://climate.copernicus.eu/">Copernicus Climate Change Service</a> (C3S). For the reanalysis the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview">ERA5-Land</a> dataset is used and for the future projections the <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview">EURO-CORDEX</a> dataset. The intermediate (<strong>RCP4.5</strong>) and very high (<strong>RCP8.5</strong>) emissions scenarios were considered. All the data was downloaded from the <a href="https://cds.climate.copernicus.eu/">Copernicus Climate Data Store</a> (CDS).</p> <p>The database is organized in three datasets:</p> <p>Regional_era5land_thresholds_Reachout.csv: contains the thresholds that were used to detect the heatwaves for each region. They were calculated considering the values of maximum and minimum temperatures during the summer season of the baseline period (1981-2010). The columns are:</p> <ul> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>tmax</strong>: daily maximum temperature threshold.</li> <li><strong>tmin</strong>: daily minimum temperature threshold.</li> </ul> <p>Historical_era5land_heatwaves_Reachout.csv: heatwaves of the historical period (1981-2021) for each region. The columns are:</p> <ul> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>start</strong>: first date of the heatwave.</li> <li><strong>tmax</strong>: maximum temperature reached during the heatwave.</li> <li><strong>intensity</strong>: the sum of the degrees of the maximum and minimum temperatures over their corresponding thresholds.</li> <li><strong>duration</strong>: duration of the heatwave.</li> </ul> <p>Future_and_baseline_era5land_heatwaves_Reachout.csv: ensemble future projections of heatwaves. The columns are:</p> <ul> <li><strong>hazard_level</strong>: it can be a warning, an alert or an alarm.</li> <li><strong>region</strong>: unique identifier of the corresponding EUROSTAT NUTS_ID or GISCO_ID.</li> <li><strong>experiment</strong>: emission scenario. It can be baseline, rcp-4-5 or rcp-8-5.</li> <li><strong>period</strong>: it can be 1981-2010 for the baseline or 2011-2040, 2021-2050, 2031-2060, 2041-2070, 2051-2080, 2061-2090 or 2071-2100 for the future.</li> <li><strong>decade_frequency</strong>: decade mean frequency. In the case of the future this is the ensemble of the models.</li> <li><strong>decade_frequency_best</strong>: only applicable to the future. It determines the best projection among the models.</li> <li><strong>decade_frequency_worst</strong>: only applicable to the future. It determines the worst projection among the models.</li> <li><strong>year_days</strong>: average annual days.</li> <li><strong>year_tmax_intensity</strong>: the average annual degrees of the maximum temperature over its corresponding threshold.</li> <li><strong>year_tmin_intensity</strong>: the average annual degrees of the minimum temperature over its corresponding threshold.</li> </ul>
Land surface temperature (heatmaps) derived from earth observation data to assess thermal behaviour of 3 European cities: Milano, Logroño and Athens.
<p>Next tables present the detail description of the datasets developed in REACHOUT to characterize heat phenomena at city level by providing an assessment of the <strong>land surface temperature (heatmaps)</strong> of three European cities: Milan, Logroño and Athens. TECNALIA is the responsible partner for these datasets.</p> <p>There is a wide range of methods that can be used to characterise the thermal behaviour of a city, each of them with its advantages and disadvantages. One of these methods uses the land surface temperature that is obtained from remote sensing observations. Although thermal indices are considered more suitable when characterising thermal comfort, still the LST can provide a useful information about the behaviour of a citiy’s surfaces and materials. This has implications for several applications such as urban energy efficiency or urban environmental health. </p> <p>The input data used by the current version of the dataset came from Landsat 8. All the images acquired since 2013 by this satellite for Milan, Logroño and Athens were downloaded and processed to characterise not only the current (2019-2023) thermal behaviour of the city, but also its evolution considering the last seven 5-year windows.</p> <p>- 2013-2017<br>- 2014-2018<br>- 2015-2019<br>- 2016-2020<br>- 2017-2021<br>- 2018-2022<br>- 2019-2023</p> <p>The input data used in this dataset come from Landsat 8 downloaded from <a href="https://earthexplorer.usgs.gov/">Earth Explorer (usgs.gov)</a>.</p> <p>The format of this dataset is organized in two ZIP format files:</p> <p>- LANDSAT_8_L2SP_000000-milan_LST_peak.zip</p> <p>- LANDSAT_8_L2SP_000000-logrono_LST_peak.zip</p> <p>- LANDSAT_8_L2SP_000000-athens_LST_peak.zip</p> <p>Each of these zip files contain seven TIF images that represent the peak LST map according to the images of the above mentioned seven periods. The peak LST is obtained after getting the Annual Cycle Parameters of each of the periods and selecting a 30-day window centred on the day that the city reaches the maximum LST.</p> <p>The values of the images are in degree Celsius and nodata value is -9999.</p> <p> </p>
Fiware-enabled tool for real-time control of the raw-water conveyance system of Athens
<p>This database includes the data used to produce the results for the following article:</p> <p>Bellos, V., Kossieris, P., Efstratiadis, A., Papakonstantis, I., Papanicolaou, P., Dimas, P., Makropoulos, C. 2022. Fiware-enabled tool for real-time control of the raw-water conveyance system of Athens. Proceedings of the 39th IAHR World Congress, 19-24 June 2022, Granada, Spain (accepted paper for oral presentation, in press). </p>
The New Acropolis Museum: Short Statistical Analysis for a Sustainable Operation with Active Visitors Based on a Sample of Students of the University of Athens
<p>The purpose of this study is to examine the new Acropolis Museum and its potential visits, with a focus on the number of students at the University of Athens visiting it. The dimensions studied are the new museum’s functionality, accessibility, and the intention to and motives for visiting it. The new museum has been open for 14 years and is viewed as a symbol of an exceptional cultural experience by both Greek and foreign visitors. As the focus of our field study, the students replied to mainly quantitative questions via computer, and we then performed a statistical analysis of their replies.</p>
Athens Greece Places (ICCS)
<p>Gathers data describing describing the heritage of the managed or exploited objects on public domain.</p>
Views of the students and prospective teachers of the National and Kapodistrian University of Athens and School of Pedagogical and Technological Education, regarding the necessity of certified pedagogical competence.
<p>views of the students and prospective teachers of the National and Kapodistrian University of Athens and School of Pedagogical and Technological Education, regarding the necessity of certified pedagogical competence.</p>
Fig. 2 in New early Pliocene owls from Langebaanweg, South Africa, with first evidence of Athene south of the Sahara and a new species of Tyto
Fig. 2. Strigid owl Athene inexpectata sp. nov. from the early Pliocene, Upper Varswater Formation at Langebaanweg, South Africa; paratypes (A, C–E, G), holotype (F) and Athene noctua, Recent (B). A. Left tibiotarsus (SAM-PQ-L20700 M), in cranial (A 1), lateral (A 2), caudal (A 3), medial (A 4), and distal (A5) views. B. Reversed right tibiotarsus (MGPT-MPOC 38), in cranial view (B 1), left tarsometatarsus in dorsal view (B 2). C. Left scapula (SAM-PQ-L25390 GA), in medial (C 1), cranial (C 2) and lateral (C 3) views. D. Right ulna (SAM-PQ-L14846), in dorsal (D 1), caudal (D 2), ventral (D 3) and cranial (D 4) views. E. Right tibiotarsus (SAM-PQ-L28927), in cranial (E 1), lateral (E 2), caudal (E 3), medial (E 4), and proximal (E5) views. F. Right tarsometatarsus (SAM-PQ-L13052 N2), in dorsal (F 1), lateral (F 2), plantar (F 3), medial (F 4), proximal (F5), and distal (F6) views. G. Right humerus (SAMPQ-L33540 C), in cranial (G 1), dorsal (G 2) caudal (G 3), ventral (G 4), and distal (G5) views.
Fig. 3 in New early Pliocene owls from Langebaanweg, South Africa, with first evidence of Athene south of the Sahara and a new species of Tyto
Fig. 3. Strigid owls from the early Pliocene, Upper Varswater Formation at Langebaanweg, South Africa. A. Asio sp. (SAM-PQ-L33521 I), right tibiotarsus, in cranial (A 1), lateral (A 2), caudal (A 3), medial (A 4), and distal (A 5) views. B. Strigidae gen. et sp. indet. (SAM-PQ-L28479 C), left tibiotarsus in cranial view. C. Bubo sp. (SAM-PQ-L28439 C), left tibiotarsus in cranial view.
Fig. 1 in New early Pliocene owls from Langebaanweg, South Africa, with first evidence of Athene south of the Sahara and a new species of Tyto
Fig. 1.Tytonid owl Tyto richae sp. nov. from the early Pliocene, Upper Varswater Formation at Langebaanweg, South Africa; paratypes (A–C, E), holotype (D). A. Left ulna (SAM-PQ-L50411 L), in dorsal (A1), caudal (A2), ventral (A3), and cranial (A4) views. B. Left coracoid (SAM-PQ-L23436), in dorsal (B1), lateral (B2), medial (B3), and ventral (B4) views. C. Left tibiotarsus (SAM-PQ-L28197 AU), in cranial (C1), lateral (C2), caudal (C3), medial (C4), and distal (C5) views. D. Right tarsometatarsus (SAM-PQ-L50354 B), in dorsal (D1), lateral (D2), plantar (D3), medial (D4), and distal (D5) views. E. Left tibiotarsus (SAM-PQ-L50022 ZA), in cranial (E1), lateral (E2), caudal (E3), medial (E4), and distal (E5) views.
Supplementary Material: Assessment of Environmental Pollution and Human Exposure to Pesticides by Wastewater Analysis in a Seven-Year Study in Athens, Greece
<p>Supplementary Material</p>
Forward-Looking Climate Modelling for Western Athens
<p>We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. The study domain focus on the metropolitan area of Athens, Greece.</p> <p>More details about the dataset: </p> <ul> <li>The dataset includes calculations for each indicator across three scenarios (<strong>present, SSP1-1.9, SSP3-7.0</strong>) and three twenty-year periods (<strong>2001-2020, 2021-2040, and 2041-2060</strong>). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.</li> <li>All indicators are available in both <strong>NetCDF</strong> and <strong>GeoTiff</strong> formats.</li> <li>The indicators are calculated at a resolution of <strong>150 m</strong>, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of <strong>30 m</strong>.</li> <li>The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection <strong>EPSG 32634</strong>. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with <strong>EPSG 4326</strong> projection is included.</li> <li>All indicators are calculated as <strong>yearly averages</strong>. Some indicators also have additional calculations for <strong>seasonal averages</strong>, including Spring (MAM), Summer (JJA), Autumn (SON), and Winter (DJF).</li> <li>Images for <strong>quick viewing</strong> <strong>in</strong> <strong>png</strong> format visualizing the results for each indicator. Present denotes the period 2001-2020; 2030 denotes the period 2021-2040; & 2050 denotes the period 2041-2060.</li> <li>The images are also clipped to focus on the ASDA municipalities, in which case the png files will be ended with ‘_clip.png’</li> <li>The NetCDF and GeoTiff data can be found in the <a href="https://zenodo.org/api/files/76dbc341-075d-49aa-9b73-8378f6410038/data.zip?versionId=df51b0aa-9cb0-4be0-afe6-46fa30372e91">data.zip</a>; The png files for quick viewing can be found in <a href="https://zenodo.org/api/files/76dbc341-075d-49aa-9b73-8378f6410038/quickview.zip?versionId=199b62b8-bba3-4ec0-a3f4-753d784972eb">quickview.zip</a>; more information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the <a href="https://zenodo.org/api/files/76dbc341-075d-49aa-9b73-8378f6410038/Technical_Annex_Athens_ver4.docx?versionId=695aac25-2b99-47ab-867f-721331eb9bfe">Technical_Annex_Athens_ver4.docx</a></li> </ul>
Athens Biodiversity Clustering Dataset - Features and Clusters per region
<p>Athens Biodiversity Clustering Dataset - Features and Clusters per region. Includes collated data from a variety of sources, including local data and remote sensing data. All data is high resolution, with features available for 490 census blocks in Central Athens.</p>
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