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On October 14, 2021 at 3:05:05 PM UTC, Administrator:

Set author of Soil sealing Barcelona and Milan different territorial levels to [{"affiliation": "University of Bamberg", "affiliation_02": "WSL, Land Change Science, Land-use systems", "affiliation_03": "", "data_credit": ["validation", "curation", "publication", "supervision"], "email": "sofia.pagliarin@uni-bamberg.de", "given_name": "Sofia", "identifier": "0000-0003-4846-6072", "name": "Pagliarin"}] (previously [{"affiliation": "University of Bamberg", "affiliation_02": "", "affiliation_03": "", "autocomplete": "on", "data_credit": ["validation", "curation", "publication", "supervision"], "email": "sofia.pagliarin@uni-bamberg.de", "given_name": "Sofia", "identifier": "0000-0003-4846-6072", "name": "Pagliarin"}])

Updated description of Soil sealing Barcelona and Milan different territorial levels from
This dataset ‘IMD15_BCN_MI’ is a recalculation of the Copernicus 2015 high resolution layer (HRL) of imperviousness density data (IMD) at different spatial/territorial scales for the case studies of Barcelona and Milan. The selected spatial/territorial scales are the following: a) Barcelona city boundaries b) Barcelona metropolitan area, Àrea Metropolitana de Barcelona (AMB) c) Barcelona greater city (Urban Atlas) d) Barcelona functional urban area (Urban Atlas) e) Milan city boundaries f) Milan metropolitan area, Piano Intercomunale Milanese (PIM) g) Milan greater city (Urban Atlas) h) Milan functional urban area (Urban Atlas) Regarding the territorial scale as per letter f), the list of municipalities included in the Milan metropolitan area in 2016 was provided to me in 2016 from a person working at the PIM. In each of the spatial/territorial scales listed above, the number of 20x20mt cells corresponding to each of the 101 values of imperviousness (0-100% soil sealing: 0% means fully non-sealed area; 100% means fully sealed area) is provided, as well as the converted measure into squared kilometres (km2).
to
__Dataset description__ This dataset is a recalculation of the Copernicus 2015 high resolution layer (HRL) of imperviousness density data (IMD) at different spatial/territorial scales for the case studies of Barcelona and Milan. The selected spatial/territorial scales are the following: * a) Barcelona city boundaries * b) Barcelona metropolitan area, Àrea Metropolitana de Barcelona (AMB) * c) Barcelona greater city (Urban Atlas) * d) Barcelona functional urban area (Urban Atlas) * e) Milan city boundaries * f) Milan metropolitan area, Piano Intercomunale Milanese (PIM) * g) Milan greater city (Urban Atlas) * h) Milan functional urban area (Urban Atlas) In each of the spatial/territorial scales listed above, the number of 20x20mt cells corresponding to each of the 101 values of imperviousness (0-100% soil sealing: 0% means fully non-sealed area; 100% means fully sealed area) is provided, as well as the converted measure into squared kilometres (km2). __Dataset composition__ The dataset is provided in .csv format and is composed of: _IMD15_BCN_MI_Sources.csv_: Information on data sources _IMD15_BCN.csv_: This file refers to the 2015 high resolution layer of imperviousness density (IMD) for the selected territorial/spatial scales in Barcelona: * a) Barcelona city boundaries (label: bcn_city) * b) Barcelona metropolitan area, Àrea metropolitana de Barcelona (AMB) (label: bcn_amb) * c) Barcelona greater city (Urban Atlas) (label: bcn_grc) * d) Barcelona functional urban area (Urban Atlas) (label: bcn_fua) _IMD15_MI.csv_: This file refers to the 2015 high resolution layer of imperviousness density (IMD) for the selected territorial/spatial scales in Milan: * e) Milan city boundaries (label: mi_city) * f) Milan metropolitan area, Piano intercomunale milanese (PIM) (label: mi_pim) * g) Milan greater city (Urban Atlas) (label: mi_grc) * h) Milan functional urban area (Urban Atlas) (label: mi_fua) _IMD15_BCN_MI.mpk_: the shareable project in Esri ArcGIS format including the HRL IMD data in raster format for each of the territorial boundaries as specified in letter a)-h). Regarding the territorial scale as per letter f), the list of municipalities included in the Milan metropolitan area in 2016 was provided to me in 2016 from a person working at the PIM. In the IMD15_BCN.csv and IMD15_MI.csv, the following columns are included: * Level: the territorial level as defined above (a)-d) for Barcelona and e)-h) for Milan); * Value: the 101 values of imperviousness density expressed as a percentage of soil sealing (0-100%: 0% means fully non-sealed area; 100% means fully sealed area); * Count: the number of 20x20mt cells corresponding to a certain percentage of soil sealing or imperviousness; * Km2: the conversion of the 20x20mt cells into squared kilometres (km2) to facilitate the use of the dataset. __Further information on the Dataset__ This dataset is the result of a combination between different databases of different types and that have been downloaded from different sources. Below, I describe the main steps in data management that resulted in the production of the dataset in an Esri ArcGIS (ArcMap, Version 10.7) project. 1. The high resolution layer (HRL) of the imperviousness density data (IMD) for 2015 has been downloaded from the official website of Copernicus. At the time of producing the dataset (April/May 2021), the 2018 version of the IMD HRL database was not yet validated, so the 2015 version was chosen instead. The type of this dataset is raster. 2. For both Barcelona and Milan, shapefiles of their administrative boundaries have been downloaded from official sources, i.e. the ISTAT (Italian National Statistical Institute) and the ICGC (Catalan Institute for Cartography and Geology). These files have been reprojected to match the IMD HRL projection, i.e. ETRS 1989 LAEA. 3. Urban Atlas (UA) boundaries for the Greater Cities (GRC) and Functional Urban Areas (FUA) of Barcelona and Milan have been checked and reconstructed in Esri ArcGIS from the administrative boundaries files by using a Eurostat correspondence table. This is because at the time of the dataset creation (April/May 2021), the 2018 Urban Atlas shapefiles for these two cities were not fully updated or validated on the Copernicus Urban Atlas website. Therefore, I had to re-create the GRC and FUA boundaries by using the Eurostat correspondence table as an alternative (but still official) data source. The use of the Eurostat correspondence table with the codes and names of municipalities was also useful to detect discrepancies, basically stemming from changes in municipality names and codes and that created inconsistent spatial features. When detected, these discrepancies have been checked with the ISTAT and ICGC offices in charge of producing Urban Atlas data before the final GRC and FUA boundaries were defined. Steps 2) and 3) were the most time consuming, because they required other tools to be used in Esri ArcGIS, like spatial joins and geoprocessing tools for shapefiles (in particular dissolve and area re-calculator in editing sessions) for each of the spatial/territorial scales as indicated in letters a)-h). Once the databases for both Barcelona and Milan as described in points 2) and 3) were ready (uploaded in Esri ArcGIS, reprojected and their correctness checked), they have been ‘crossed’ (i.e. clipped) with the IMD HRL as described in point 1) and a specific raster for each territorial level has been calculated. The procedure in Esri ArcGIS was the following: * Clipping: Arctoolbox > Data management tools > Raster > Raster Processing > Clip. The ‘input’ file is the HRL IMD raster file as described in point 1) and the ‘output’ file is each of the spatial/territorial files. The option "Use Input Features for Clipping Geometry (optional)” was selected for each of the clipping. * Delete and create raster attribute table: Once the clipping has been done, the raster has to be recalculated first through Arctoolbox > Data management tools > Raster > Raster properties > Delete Raster Attribute Table and then through Arctoolbox > Data management tools > Raster > Raster properties > Build Raster Attribute Table; the "overwrite" option has been selected. Other tools used for the raster files in Esri ArcGIS have been the spatial analyst tools (in particular, Zonal > Zonal Statistics). As an additional check, the colour scheme of each of the newly created raster for each of the spatial/territorial attributes as per letters a)-h) above has been changed to check the consistency of its overlay with the original HRL IMD file. However, a perfect match between the shapefiles as per letters a)-h) and the raster files could not be achieved since the raster files are composed of 20x20mt cells. The newly created attribute tables of each of the raster files have been exported and saved as .txt files. These .txt files have then been copied in the excel corresponding to the final published dataset.

Changed value of field spatial_info to Spain, Italy in Soil sealing Barcelona and Milan different territorial levels

Changed value of field date to [{"date": "2020-03-01", "date_type": "created", "end_date": "2021-05-07"}] in Soil sealing Barcelona and Milan different territorial levels

Changed value of field publication_state to approved in Soil sealing Barcelona and Milan different territorial levels

Added the following fields to Soil sealing Barcelona and Milan different territorial levels
- Value with value 0-100
- Count with value No. of 20x20mt cells (from raster)
- km2 with value Count field converted in km2
- Labels with value bcn_city,bcn_amb,bcn_grc,bcn_fua,mi_city,mi_pim,mi_grc,mi_fua

Added resource IMD15_MI to Soil sealing Barcelona and Milan different territorial levels

Added resource IMD15_BCN_MI to Soil sealing Barcelona and Milan different territorial levels

Added resource IMD15_BCN to Soil sealing Barcelona and Milan different territorial levels

Renamed resource soil-sealing-barcelona-milan-different-territorial-levels to IMD15_BCN_MI_Sources in Soil sealing Barcelona and Milan different territorial levels

Set format of resource IMD15_BCN_MI_Sources to CSV in Soil sealing Barcelona and Milan different territorial levels

Updated description of resource IMD15_BCN_MI_Sources in Soil sealing Barcelona and Milan different territorial levels to
Information on data sources

Uploaded a new file to resource IMD15_BCN_MI_Sources in Soil sealing Barcelona and Milan different territorial levels

Changed value of field url_type to upload in resource IMD15_BCN_MI_Sources in Soil sealing Barcelona and Milan different territorial levels

              
    
          
          
        
        
            f 1 { f 1 {
            2   "author": "[{\"affiliation\": \"University of Bamberg\",  2   "author": "[{\"affiliation\": \"University of Bamberg\", 
            n 3 \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"autocomplete\":  n 3 \"affiliation_02\": \"WSL, Land Change Science, Land-use systems\", 
            4 \"on\", \"data_credit\": [\"validation\", \"curation\",  4 \"affiliation_03\": \"\", \"data_credit\": [\"validation\", 
            5 \"publication\", \"supervision\"], \"email\":  5 \"curation\", \"publication\", \"supervision\"], \"email\": 
            6 \"sofia.pagliarin@uni-bamberg.de\", \"given_name\": \"Sofia\",  6 \"sofia.pagliarin@uni-bamberg.de\", \"given_name\": \"Sofia\", 
            7 \"identifier\": \"0000-0003-4846-6072\", \"name\": \"Pagliarin\"}]", 7 \"identifier\": \"0000-0003-4846-6072\", \"name\": \"Pagliarin\"}]",
            8   "author_email": null, 8   "author_email": null,
            9   "creator_user_id": "4f075d7a-2215-4465-b317-3a06ba799272", 9   "creator_user_id": "4f075d7a-2215-4465-b317-3a06ba799272",
            n 10   "date": "[{\"date\": \"2021-10-14\", \"date_type\": \"collected\",  n 10   "date": "[{\"date\": \"2020-03-01\", \"date_type\": \"created\", 
            11 \"end_date\": \"2021-10-14\"}]", 11 \"end_date\": \"2021-05-07\"}]",
            12   "doi": "10.16904/envidat.251", 12   "doi": "10.16904/envidat.251",
            n n 13   "extras": [
            14     {
            15       "key": "Count",
            16       "value": "No. of 20x20mt cells (from raster)"
            17     },
            18     {
            19       "key": "Labels",
            20       "value": 
            21 "bcn_city,bcn_amb,bcn_grc,bcn_fua,mi_city,mi_pim,mi_grc,mi_fua"
            22     },
            23     {
            24       "key": "Value",
            25       "value": "0-100"
            26     },
            27     {
            28       "key": "km2",
            29       "value": "Count field converted in km2"
            30     }
            31   ],
            13   "funding": "[{\"grant_number\": \"PA357311\", \"institution\": \"DFG  32   "funding": "[{\"grant_number\": \"PA357311\", \"institution\": \"DFG 
            14 (Deutsche Forschungsgemeinschaft)\", \"institution_url\": \"\"}]", 33 (Deutsche Forschungsgemeinschaft)\", \"institution_url\": \"\"}]",
            15   "groups": [], 34   "groups": [],
            16   "id": "34fc9c0c-1c90-4f87-b3a9-76cc0e888eda", 35   "id": "34fc9c0c-1c90-4f87-b3a9-76cc0e888eda",
            17   "isopen": true, 36   "isopen": true,
            18   "language": "en", 37   "language": "en",
            19   "license_id": "cc-by-sa", 38   "license_id": "cc-by-sa",
            20   "license_title": "Creative Commons Attribution Share-Alike  39   "license_title": "Creative Commons Attribution Share-Alike 
            21 (CC-BY-SA)", 40 (CC-BY-SA)",
            22   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", 41   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            23   "maintainer": "{\"affiliation\": \"University of Bamberg\",  42   "maintainer": "{\"affiliation\": \"University of Bamberg\", 
            24 \"email\": \"sofia.pagliarin@uni-bamberg.de\", \"given_name\":  43 \"email\": \"sofia.pagliarin@uni-bamberg.de\", \"given_name\": 
            25 \"Sofia\", \"identifier\": \"0000-0003-4846-6072\", \"name\":  44 \"Sofia\", \"identifier\": \"0000-0003-4846-6072\", \"name\": 
            26 \"Pagliarin\"}", 45 \"Pagliarin\"}",
            27   "maintainer_email": null, 46   "maintainer_email": null,
            28   "metadata_created": "2021-10-14T07:59:40.502820", 47   "metadata_created": "2021-10-14T07:59:40.502820",
            n 29   "metadata_modified": "2021-10-14T08:39:44.977307", n 48   "metadata_modified": "2021-10-14T15:05:05.098053",
            30   "name": "soil-sealing-barcelona-milan", 49   "name": "soil-sealing-barcelona-milan",
            n 31   "notes": "This dataset \u2018IMD15_BCN_MI\u2019 is a recalculation  n 50   "notes": "__Dataset description__<br /> \r\nThis dataset is a 
            32 of the Copernicus 2015 high resolution layer (HRL) of imperviousness  51 recalculation of the Copernicus 2015 high resolution layer (HRL) of 
            33 density data (IMD) at different spatial/territorial scales for the  52 imperviousness density data (IMD) at different spatial/territorial 
            34 case studies of Barcelona and Milan. The selected spatial/territorial  53 scales for the case studies of Barcelona and Milan. The selected 
            35 scales are the following:\r\na)\tBarcelona city  54 spatial/territorial scales are the following: \r\n\r\n * a)\tBarcelona 
            36 boundaries\r\nb)\tBarcelona metropolitan area, \u00c0rea Metropolitana  55 city boundaries\r\n * b)\tBarcelona metropolitan area, \u00c0rea 
            37 de Barcelona (AMB)\r\nc)\tBarcelona greater city (Urban  56 Metropolitana de Barcelona (AMB)\r\n * c)\tBarcelona greater city 
            38 Atlas)\r\nd)\tBarcelona functional urban area (Urban  57 (Urban Atlas)\r\n * d)\tBarcelona functional urban area (Urban 
            39 Atlas)\r\ne)\tMilan city boundaries\r\nf)\tMilan metropolitan area,  58 Atlas)\r\n * e)\tMilan city boundaries\r\n * f)\tMilan metropolitan 
            40 Piano Intercomunale Milanese (PIM)\r\ng)\tMilan greater city (Urban  59 area, Piano Intercomunale Milanese (PIM)\r\n * g)\tMilan greater city 
            41 Atlas)\r\nh)\tMilan functional urban area (Urban Atlas)\r\nRegarding  60 (Urban Atlas)\r\n * h)\tMilan functional urban area (Urban 
            42 the territorial scale as per letter f), the list of municipalities  61 Atlas)\r\n\r\nIn each of the spatial/territorial scales listed above, 
            43 included in the Milan metropolitan area in 2016 was provided to me in  62 the number of 20x20mt cells corresponding to each of the 101 values of 
            44 2016 from a person working at the PIM.\r\nIn each of the  63 imperviousness (0-100% soil sealing: 0% means fully non-sealed area; 
            45 spatial/territorial scales listed above, the number of 20x20mt cells  64 100% means fully sealed area) is provided, as well as the converted 
            46 corresponding to each of the 101 values of imperviousness (0-100% soil  65 measure into squared kilometres (km2). <br /> <br /> 
            47 sealing: 0% means fully non-sealed area; 100% means fully sealed area)  66 \r\n\r\n\r\n__Dataset composition__<br /> \r\nThe dataset is provided 
            48 is provided, as well as the converted measure into squared kilometres  67 in .csv format and is composed of: <br /> 
            49 (km2).\r\n", 68 \r\n\r\n_IMD15_BCN_MI_Sources.csv_: Information on data sources <br /> 
            69 \r\n\r\n _IMD15_BCN.csv_: This file refers to the 2015 high resolution 
            70 layer of imperviousness density (IMD) for the selected 
            71 territorial/spatial scales in Barcelona: \r\n * a)\tBarcelona city 
            72 boundaries (label: bcn_city) \r\n * b)\tBarcelona metropolitan area, 
            73 \u00c0rea metropolitana de Barcelona (AMB) (label: bcn_amb)\r\n * 
            74 c)\tBarcelona greater city (Urban Atlas) (label: bcn_grc)\r\n * 
            75 d)\tBarcelona functional urban area (Urban Atlas) (label: 
            76 bcn_fua)\r\n\r\n _IMD15_MI.csv_: This file refers to the 2015 high 
            77 resolution layer of imperviousness density (IMD) for the selected 
            78 territorial/spatial scales in Milan: \r\n * e)\tMilan city boundaries 
            79 (label: mi_city)\r\n * f)\tMilan metropolitan area, Piano 
            80 intercomunale milanese (PIM) (label: mi_pim)\r\n * g)\tMilan greater 
            81 city (Urban Atlas) (label: mi_grc)\r\n * h)\tMilan functional urban 
            82 area (Urban Atlas) (label: mi_fua)\r\n\r\n_IMD15_BCN_MI.mpk_: the 
            83 shareable project in Esri ArcGIS format including the HRL IMD data in 
            84 raster format for each of the territorial boundaries as specified in 
            85 letter a)-h). <br /> \r\n\r\nRegarding the territorial scale as per 
            86 letter f), the list of municipalities included in the Milan 
            87 metropolitan area in 2016 was provided to me in 2016 from a person 
            88 working at the PIM. <br /> \r\n\r\nIn the IMD15_BCN.csv and 
            89 IMD15_MI.csv, the following columns are included:\r\n\r\n * Level: the 
            90 territorial level as defined above (a)-d) for Barcelona and e)-h) for 
            91 Milan);\r\n * Value: the 101 values of imperviousness density 
            92 expressed as a percentage of soil sealing (0-100%: 0% means fully 
            93 non-sealed area; 100% means fully sealed area);\r\n * Count: the 
            94 number of 20x20mt cells corresponding to a certain percentage of soil 
            95 sealing or imperviousness; \r\n * Km2: the conversion of the 20x20mt 
            96 cells into squared kilometres (km2) to facilitate the use of the 
            97 dataset.<br /> <br /> \r\n\r\n__Further information on the 
            98 Dataset__<br /> \r\nThis dataset is the result of a combination 
            99 between different databases of different types and that have been 
            100 downloaded from different sources. Below, I describe the main steps in 
            101 data management that resulted in the production of the dataset in an 
            102 Esri ArcGIS (ArcMap, Version 10.7) project.<br /> \r\n\r\n 1. The high 
            103 resolution layer (HRL) of the imperviousness density data (IMD) for 
            104 2015 has been downloaded from the official website of Copernicus. At 
            105 the time of producing the dataset (April/May 2021), the 2018 version 
            106 of the IMD HRL database was not yet validated, so the 2015 version was 
            107 chosen instead. The type of this dataset is raster. \r\n\r\n 2. For 
            108 both Barcelona and Milan, shapefiles of their administrative 
            109 boundaries have been downloaded from official sources, i.e. the ISTAT 
            110 (Italian National Statistical Institute) and the ICGC (Catalan 
            111 Institute for Cartography and Geology). These files have been 
            112 reprojected to match the IMD HRL projection, i.e. ETRS 1989 
            113 LAEA.\r\n\r\n 3. Urban Atlas (UA) boundaries for the Greater Cities 
            114 (GRC) and Functional Urban Areas (FUA) of Barcelona and Milan have 
            115 been checked and reconstructed in Esri ArcGIS from the administrative 
            116 boundaries files by using a Eurostat correspondence table. This is 
            117 because at the time of the dataset creation (April/May 2021), the 2018 
            118 Urban Atlas shapefiles for these two cities were not fully updated or 
            119 validated on the Copernicus Urban Atlas website. Therefore, I had to 
            120 re-create the GRC and FUA boundaries by using the Eurostat 
            121 correspondence table as an alternative (but still official) data 
            122 source. The use of the Eurostat correspondence table with the codes 
            123 and names of municipalities was also useful to detect discrepancies, 
            124 basically stemming from changes in municipality names and codes and 
            125 that created inconsistent spatial features. When detected, these 
            126 discrepancies have been checked with the ISTAT and ICGC offices in 
            127 charge of producing Urban Atlas data before the final GRC and FUA 
            128 boundaries were defined.<br /> \r\n\r\nSteps 2) and 3) were the most 
            129 time consuming, because they required other tools to be used in Esri 
            130 ArcGIS, like spatial joins and geoprocessing tools for shapefiles (in 
            131 particular dissolve and area re-calculator in editing sessions) for 
            132 each of the spatial/territorial scales as indicated in letters a)-h). 
            133 <br /> \r\n\r\nOnce the databases for both Barcelona and Milan as 
            134 described in points 2) and 3) were ready (uploaded in Esri ArcGIS, 
            135 reprojected and their correctness checked), they have been 
            136 \u2018crossed\u2019 (i.e. clipped) with the IMD HRL as described in 
            137 point 1) and a specific raster for each territorial level has been 
            138 calculated. The procedure in Esri ArcGIS was the following:\r\n\r\n * 
            139 Clipping: Arctoolbox > Data management tools > Raster > Raster 
            140 Processing > Clip. The \u2018input\u2019 file is the HRL IMD raster 
            141 file as described in point 1) and the \u2018output\u2019 file is each 
            142 of the spatial/territorial files. The option \"Use Input Features for 
            143 Clipping Geometry (optional)\u201d was selected for each of the 
            144 clipping. \r\n * Delete and create raster attribute table: Once the 
            145 clipping has been done, the raster has to be recalculated first 
            146 through Arctoolbox > Data management tools > Raster > Raster 
            147 properties > Delete Raster Attribute Table and then through Arctoolbox 
            148 > Data management tools > Raster > Raster properties > Build Raster 
            149 Attribute Table; the \"overwrite\" option has been selected. <br /> 
            150 \r\n\r\nOther tools used for the raster files in Esri ArcGIS have been 
            151 the spatial analyst tools (in particular, Zonal > Zonal Statistics). 
            152 As an additional check, the colour scheme of each of the newly created 
            153 raster for each of the spatial/territorial attributes as per letters 
            154 a)-h) above has been changed to check the consistency of its overlay 
            155 with the original HRL IMD file. However, a perfect match between the 
            156 shapefiles as per letters a)-h) and the raster files could not be 
            157 achieved since the raster files are composed of 20x20mt cells.<br /> 
            158 \r\n\r\nThe newly created attribute tables of each of the raster files 
            159 have been exported and saved as .txt files. These .txt files have then 
            160 been copied in the excel corresponding to the final published 
            161 dataset.\r\n",
            50   "num_resources": 1, 162   "num_resources": 4,
            51   "num_tags": 6, 163   "num_tags": 6,
            52   "organization": { 164   "organization": {
            53     "approval_status": "approved", 165     "approval_status": "approved",
            54     "created": "2019-01-16T10:05:56.219606", 166     "created": "2019-01-16T10:05:56.219606",
            55     "description": "The land-use systems group studies landscape  167     "description": "The land-use systems group studies landscape 
            56 patterns and processes and their changes over time. We focus on  168 patterns and processes and their changes over time. We focus on 
            57 cultural landscapes and their multifunctionality while conducting  169 cultural landscapes and their multifunctionality while conducting 
            58 research in the following topics:\r\n\r\n- Development of models for  170 research in the following topics:\r\n\r\n- Development of models for 
            59 simulating future landscape dynamics and for estimating the resulting  171 simulating future landscape dynamics and for estimating the resulting 
            60 landscape services;\r\n- Application and further development of  172 landscape services;\r\n- Application and further development of 
            61 landscape genetic methods and theories;\r\n- Analysis of historical  173 landscape genetic methods and theories;\r\n- Analysis of historical 
            62 changes in ecosystems and landscapes (focus on the past 100 to 250  174 changes in ecosystems and landscapes (focus on the past 100 to 250 
            63 years);\r\n- Analysis of ecological implications of landscape and  175 years);\r\n- Analysis of ecological implications of landscape and 
            64 ecosystem changes in the context of the field of historical  176 ecosystem changes in the context of the field of historical 
            65 ecology;\r\n- Analysis of actors, driving forces, and land change and  177 ecology;\r\n- Analysis of actors, driving forces, and land change and 
            66 their interaction to understand the causes of landscape change\r\n-  178 their interaction to understand the causes of landscape change\r\n- 
            67 Contributing to the further development of landscape planning, based,  179 Contributing to the further development of landscape planning, based, 
            68 for example, on conflict analysis and the evaluation of planning  180 for example, on conflict analysis and the evaluation of planning 
            69 instruments. \r\n\r\nThe landscape ecology group combines methods and  181 instruments. \r\n\r\nThe landscape ecology group combines methods and 
            70 theories from natural sciences and social sciences on spatial scales  182 theories from natural sciences and social sciences on spatial scales 
            71 from single ecosystems to continents. We are equally committed to  183 from single ecosystems to continents. We are equally committed to 
            72 theory development and innovative applications.", 184 theory development and innovative applications.",
            73     "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", 185     "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11",
            74     "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", 186     "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png",
            75     "is_organization": true, 187     "is_organization": true,
            76     "name": "land-use-systems", 188     "name": "land-use-systems",
            77     "state": "active", 189     "state": "active",
            78     "title": "Land-use systems", 190     "title": "Land-use systems",
            79     "type": "organization" 191     "type": "organization"
            80   }, 192   },
            81   "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", 193   "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11",
            82   "private": false, 194   "private": false,
            83   "publication": "{\"publication_year\": \"2021\", \"publisher\":  195   "publication": "{\"publication_year\": \"2021\", \"publisher\": 
            84 \"EnviDat\"}", 196 \"EnviDat\"}",
            n 85   "publication_state": "pub_pending", n 197   "publication_state": "approved",
            86   "related_datasets": "", 198   "related_datasets": "",
            87   "related_publications": "", 199   "related_publications": "",
            88   "relationships_as_object": [], 200   "relationships_as_object": [],
            89   "relationships_as_subject": [], 201   "relationships_as_subject": [],
            90   "resource_type": "dataset", 202   "resource_type": "dataset",
            91   "resource_type_general": "dataset", 203   "resource_type_general": "dataset",
            92   "resources": [ 204   "resources": [
            93     { 205     {
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            95       "cache_url": null, 207       "cache_url": null,
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            n 97       "description": "", n 209       "description": "Information on data sources",
            98       "doi": "", 210       "doi": "",
            n 99       "format": "", n 211       "format": "CSV",
            100       "hash": "", 212       "hash": "",
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            102       "last_modified": null, 214       "last_modified": null,
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            104       "mimetype": null, 216       "mimetype": null,
            105       "mimetype_inner": null, 217       "mimetype_inner": null,
            n 106       "name":  n 218       "name": "IMD15_BCN_MI_Sources",
            107 "soil-sealing-barcelona-milan-different-territorial-levels", 
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            113       "resource_type": null, 224       "resource_type": null,
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            115 \"shared_secret\": \"\"}", 226 \"shared_secret\": \"\"}",
            n 116       "size": null, n 227       "size": 2730,
            117       "state": "active", 228       "state": "active",
            n 118       "url": "", n 229       "url": 
            230 23c81b-4318-492a-abbf-44e429e9855d/download/imd15_bcn_mi_sources.csv",
            231       "url_type": "upload"
            232     },
            233     {
            234       "cache_last_updated": null,
            235       "cache_url": null,
            236       "created": "2021-10-14T09:36:28.898917",
            237       "description": "2015 high resolution layer of imperviousness 
            238 density (IMD) for the selected territorial/spatial scales in 
            239 Barcelona",
            240       "doi": "",
            241       "format": "CSV",
            242       "hash": "",
            243       "id": "b49ab377-1058-44b0-9db3-eae5af4bb518",
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            246       "mimetype": null,
            247       "mimetype_inner": null,
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            250       "position": 1,
            251       "publication_state": "",
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            119       "url_type": null 254       "resource_type": null,
            255       "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", 
            256 \"shared_secret\": \"\"}",
            257       "size": 9402,
            258       "state": "active",
            259       "url": 
            260 resource/b49ab377-1058-44b0-9db3-eae5af4bb518/download/imd15_bcn.csv",
            261       "url_type": "upload"
            262     },
            263     {
            264       "cache_last_updated": null,
            265       "cache_url": null,
            266       "created": "2021-10-14T09:37:57.024254",
            267       "description": "2015 high resolution layer of imperviousness 
            268 density (IMD) for the selected territorial/spatial scales in Milan",
            269       "doi": "",
            270       "format": ".csv",
            271       "hash": "",
            272       "id": "e4750d6b-e92c-4266-8d15-a04a673ba248",
            273       "last_modified": null,
            274       "metadata_modified": "2021-10-14T09:37:56.995344",
            275       "mimetype": null,
            276       "mimetype_inner": null,
            277       "name": "IMD15_MI",
            278       "package_id": "34fc9c0c-1c90-4f87-b3a9-76cc0e888eda",
            279       "position": 2,
            280       "publication_state": "",
            281       "resource_size": "{\"size_value\": \"\", \"size_units\": 
            282 \"kb\"}",
            283       "resource_type": null,
            284       "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", 
            285 \"shared_secret\": \"\"}",
            286       "size": 9229,
            287       "state": "active",
            288       "url": 
            289 /resource/e4750d6b-e92c-4266-8d15-a04a673ba248/download/imd15_mi.csv",
            290       "url_type": "upload"
            291     },
            292     {
            293       "cache_last_updated": null,
            294       "cache_url": null,
            295       "created": "2021-10-14T09:41:27.608348",
            296       "description": "Shareable project in Esri ArcGIS format 
            297 including the HRL IMD data in raster format for each of the 
            298 territorial boundaries as specified in letter a)-h), see Dataset 
            299 description",
            300       "doi": "",
            301       "format": "mpk",
            302       "hash": "",
            303       "id": "feb17f6a-9d3d-49d7-b072-654e3d210975",
            304       "last_modified": null,
            305       "metadata_modified": "2021-10-14T09:41:27.579168",
            306       "mimetype": null,
            307       "mimetype_inner": null,
            308       "name": "IMD15_BCN_MI",
            309       "package_id": "34fc9c0c-1c90-4f87-b3a9-76cc0e888eda",
            310       "position": 3,
            311       "publication_state": "",
            312       "resource_size": "{\"size_value\": \"\", \"size_units\": 
            313 \"kb\"}",
            314       "resource_type": null,
            315       "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", 
            316 \"shared_secret\": \"\"}",
            317       "size": 9649908,
            318       "state": "active",
            319       "url": 
            320 ource/feb17f6a-9d3d-49d7-b072-654e3d210975/download/imd15_bcn_mi.mpk",
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            120     } 322     }
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            148 ]          ]     ]        ] }", 350 ]          ]     ]        ] }",
            t 149   "spatial_info": "Switzerland", t 351   "spatial_info": "Spain, Italy",
            150   "state": "active", 352   "state": "active",
            151   "subtitle": "", 353   "subtitle": "",
            152   "tags": [ 354   "tags": [
            153     { 355     {
            154       "display_name": "BARCELONA", 356       "display_name": "BARCELONA",
            155       "id": "b394a31d-40c2-4a36-b15a-839dcdc8f850", 357       "id": "b394a31d-40c2-4a36-b15a-839dcdc8f850",
            156       "name": "BARCELONA", 358       "name": "BARCELONA",
            157       "state": "active", 359       "state": "active",
            158       "vocabulary_id": null 360       "vocabulary_id": null
            159     }, 361     },
            160     { 362     {
            161       "display_name": "COPERNICUS", 363       "display_name": "COPERNICUS",
            162       "id": "781cc2ce-ea92-4265-95cb-d4378595ce57", 364       "id": "781cc2ce-ea92-4265-95cb-d4378595ce57",
            163       "name": "COPERNICUS", 365       "name": "COPERNICUS",
            164       "state": "active", 366       "state": "active",
            165       "vocabulary_id": null 367       "vocabulary_id": null
            166     }, 368     },
            167     { 369     {
            168       "display_name": "IMPERVIOUSNESS", 370       "display_name": "IMPERVIOUSNESS",
            169       "id": "e6b0e580-e2f9-4257-895d-cb5ef48e5a9f", 371       "id": "e6b0e580-e2f9-4257-895d-cb5ef48e5a9f",
            170       "name": "IMPERVIOUSNESS", 372       "name": "IMPERVIOUSNESS",
            171       "state": "active", 373       "state": "active",
            172       "vocabulary_id": null 374       "vocabulary_id": null
            173     }, 375     },
            174     { 376     {
            175       "display_name": "MILAN", 377       "display_name": "MILAN",
            176       "id": "e32b36af-23cc-421f-ba35-a721d98087e2", 378       "id": "e32b36af-23cc-421f-ba35-a721d98087e2",
            177       "name": "MILAN", 379       "name": "MILAN",
            178       "state": "active", 380       "state": "active",
            179       "vocabulary_id": null 381       "vocabulary_id": null
            180     }, 382     },
            181     { 383     {
            182       "display_name": "SOIL SEALING", 384       "display_name": "SOIL SEALING",
            183       "id": "7a19879a-e570-40bc-a7ce-ce8831ccb8f2", 385       "id": "7a19879a-e570-40bc-a7ce-ce8831ccb8f2",
            184       "name": "SOIL SEALING", 386       "name": "SOIL SEALING",
            185       "state": "active", 387       "state": "active",
            186       "vocabulary_id": null 388       "vocabulary_id": null
            187     }, 389     },
            188     { 390     {
            189       "display_name": "URBAN ATLAS", 391       "display_name": "URBAN ATLAS",
            190       "id": "a97ec864-4e7f-4d67-9fc5-cae8e2d96997", 392       "id": "a97ec864-4e7f-4d67-9fc5-cae8e2d96997",
            191       "name": "URBAN ATLAS", 393       "name": "URBAN ATLAS",
            192       "state": "active", 394       "state": "active",
            193       "vocabulary_id": null 395       "vocabulary_id": null
            194     } 396     }
            195   ], 397   ],
            196   "title": "Soil sealing Barcelona and Milan different territorial  398   "title": "Soil sealing Barcelona and Milan different territorial 
            197 levels", 399 levels",
            198   "type": "dataset", 400   "type": "dataset",
            199   "url": null, 401   "url": null,
            200   "version": "1.0" 402   "version": "1.0"
            201 } 403 }