Changes

On February 26, 2024 at 11:55:11 AM UTC, Administrator:
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            f 1 { f 1 {
            2   "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\",  2   "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            3 \"affiliation_03\": \"\", \"email\": \"andri.baltensweiler@wsl.ch\",  3 \"affiliation_03\": \"\", \"email\": \"andri.baltensweiler@wsl.ch\", 
            4 \"given_name\": \"Andri\", \"identifier\": \"0000-0003-1933-6535\",  4 \"given_name\": \"Andri\", \"identifier\": \"0000-0003-1933-6535\", 
            5 \"name\": \"Baltensweiler\"}, {\"affiliation\": \"Swiss Federal  5 \"name\": \"Baltensweiler\"}, {\"affiliation\": \"Swiss Federal 
            6 Institute for Forest Snow and Landscape Research WSL, Zuercherstrasse  6 Institute for Forest Snow and Landscape Research WSL, Zuercherstrasse 
            7 111, 8903 Birmensdorf, Switzerland\", \"affiliation_02\": \"\",  7 111, 8903 Birmensdorf, Switzerland\", \"affiliation_02\": \"\", 
            8 \"affiliation_03\": \"\", \"email\": \"lorenz.walthert@wsl.ch\",  8 \"affiliation_03\": \"\", \"email\": \"lorenz.walthert@wsl.ch\", 
            9 \"given_name\": \"Lorenz\", \"identifier\": \"0000-0002-1790-8563\",  9 \"given_name\": \"Lorenz\", \"identifier\": \"0000-0002-1790-8563\", 
            10 \"name\": \"Walthert\"}, {\"affiliation\":  10 \"name\": \"Walthert\"}, {\"affiliation\": 
            11 \"Albert-Ludwigs-Universit\\u00e4t Freiburg \", \"affiliation_02\":  11 \"Albert-Ludwigs-Universit\\u00e4t Freiburg \", \"affiliation_02\": 
            12 \"\", \"affiliation_03\": \"\", \"email\":  12 \"\", \"affiliation_03\": \"\", \"email\": 
            13 \"marc.hanewinkel@ife.uni-freiburg.de\", \"given_name\": \"Marc\",  13 \"marc.hanewinkel@ife.uni-freiburg.de\", \"given_name\": \"Marc\", 
            14 \"identifier\": \"0000-0003-4081-6621\", \"name\": \"Hanewinkel\"},  14 \"identifier\": \"0000-0003-4081-6621\", \"name\": \"Hanewinkel\"}, 
            15 {\"affiliation\": \"WSL\", \"affiliation_02\": \"\",  15 {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            16 \"affiliation_03\": \"\", \"email\": \"stephan.zimmermann@wsl.ch\",  16 \"affiliation_03\": \"\", \"email\": \"stephan.zimmermann@wsl.ch\", 
            17 \"given_name\": \"Stephan\", \"identifier\": \"0000-0002-8904-9024\",  17 \"given_name\": \"Stephan\", \"identifier\": \"0000-0002-8904-9024\", 
            18 \"name\": \"Zimmermann\"}, {\"affiliation\": \"Utrecht University\",  18 \"name\": \"Zimmermann\"}, {\"affiliation\": \"Utrecht University\", 
            19 \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\":  19 \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": 
            20 \"m.nussbaum@uu.nl\", \"given_name\": \"Madlene\", \"identifier\":  20 \"m.nussbaum@uu.nl\", \"given_name\": \"Madlene\", \"identifier\": 
            21 \"0000-0002-6808-8956\", \"name\": \"Nussbaum\"}]", 21 \"0000-0002-6808-8956\", \"name\": \"Nussbaum\"}]",
            22   "author_email": null, 22   "author_email": null,
            23   "creator_user_id": "cb288756-bc40-49c6-b4de-33aa0422b56d", 23   "creator_user_id": "cb288756-bc40-49c6-b4de-33aa0422b56d",
            24   "date": "[{\"date\": \"2021-08-29\", \"date_type\": \"created\",  24   "date": "[{\"date\": \"2021-08-29\", \"date_type\": \"created\", 
            25 \"end_date\": \"2021-08-29\"}]", 25 \"end_date\": \"2021-08-29\"}]",
            26   "doi": "10.16904/envidat.484", 26   "doi": "10.16904/envidat.484",
            27   "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\",  27   "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
            28 \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\":  28 \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": 
            29 \"BAFU\", \"institution_url\": \"\"}]", 29 \"BAFU\", \"institution_url\": \"\"}]",
            30   "groups": [], 30   "groups": [],
            31   "id": "9a0b1daa-a4e0-4c62-b348-ec23354105c6", 31   "id": "9a0b1daa-a4e0-4c62-b348-ec23354105c6",
            32   "isopen": true, 32   "isopen": true,
            33   "language": "en", 33   "language": "en",
            34   "license_id": "cc-by-sa", 34   "license_id": "cc-by-sa",
            35   "license_title": "Creative Commons Attribution Share-Alike  35   "license_title": "Creative Commons Attribution Share-Alike 
            36 (CC-BY-SA)", 36 (CC-BY-SA)",
            37   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", 37   "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            38   "maintainer": "{\"affiliation\": \"\", \"email\":  38   "maintainer": "{\"affiliation\": \"\", \"email\": 
            39 \"andri.baltensweiler@wsl.ch\", \"given_name\": \"Andri\",  39 \"andri.baltensweiler@wsl.ch\", \"given_name\": \"Andri\", 
            40 \"identifier\": \"\", \"name\": \"Baltensweiler\"}", 40 \"identifier\": \"\", \"name\": \"Baltensweiler\"}",
            41   "maintainer_email": null, 41   "maintainer_email": null,
            42   "metadata_created": "2024-02-23T11:31:59.959770", 42   "metadata_created": "2024-02-23T11:31:59.959770",
            n 43   "metadata_modified": "2024-02-26T10:13:38.452810", n 43   "metadata_modified": "2024-02-26T11:55:11.891232",
            44   "name": "soil-property-maps-for-the-swiss-forest", 44   "name": "soil-property-maps-for-the-swiss-forest",
            45   "notes": "We used 2071 forest soil profiles to model a wide range of  45   "notes": "We used 2071 forest soil profiles to model a wide range of 
            46 soil properties for the forested area of Switzerland. The spatial  46 soil properties for the forested area of Switzerland. The spatial 
            47 prediction is based on the principle of \u00abdigital soil  47 prediction is based on the principle of \u00abdigital soil 
            48 mapping\u00bb. This involves linking soil profiles with soil forming  48 mapping\u00bb. This involves linking soil profiles with soil forming 
            49 factors using statistical or machine learning methods.\r\n\r\nA  49 factors using statistical or machine learning methods.\r\n\r\nA 
            50 quantile regression forest (QRF) approach was applied to predict the  50 quantile regression forest (QRF) approach was applied to predict the 
            51 following soil properties at six depth ranges: clay, gravel, sand,  51 following soil properties at six depth ranges: clay, gravel, sand, 
            52 fine earth density, SOC. The depth ranges correspond to the standard  52 fine earth density, SOC. The depth ranges correspond to the standard 
            53 depths of the [GlobalSoilMap.Net](https://www.isric.org/)  53 depths of the [GlobalSoilMap.Net](https://www.isric.org/) 
            54 specification: 0\u20135, 5\u201315, 15\u201330, 30\u201360,  54 specification: 0\u20135, 5\u201315, 15\u201330, 30\u201360, 
            55 60\u2013100 and 100\u2013200 cm. In addition, the total soil depth  55 60\u2013100 and 100\u2013200 cm. In addition, the total soil depth 
            56 down to a non-root-permeable layer or solid rock soil thick was  56 down to a non-root-permeable layer or solid rock soil thick was 
            57 predicted. To quantify the uncertainty for each predicted pixel, the  57 predicted. To quantify the uncertainty for each predicted pixel, the 
            58 upper and lower limit of the 90% prediction interval derived from QRF  58 upper and lower limit of the 90% prediction interval derived from QRF 
            59 was calculated. More details on the methods and results are described  59 was calculated. More details on the methods and results are described 
            60 in Baltensweiler et al. 2021 and Baltensweiler et al 2022.\r\n\r\nThe  60 in Baltensweiler et al. 2021 and Baltensweiler et al 2022.\r\n\r\nThe 
            61 soil property maps, and the uncertainty maps are provided as a GeoTIFF  61 soil property maps, and the uncertainty maps are provided as a GeoTIFF 
            62 files at 25 m resolution. The excel file (xlsx) provides a short  62 files at 25 m resolution. The excel file (xlsx) provides a short 
            63 description of the raster layers.\r\n\r\n**The soil and the  63 description of the raster layers.\r\n\r\n**The soil and the 
            64 uncertainty maps can be viewed in a simple web-GIS application  64 uncertainty maps can be viewed in a simple web-GIS application 
            65 available at:**  65 available at:** 
            66 \r\n[www.wsl.ch/soilmaps](https://www.wsl.ch/soilmaps).\r\n", 66 \r\n[www.wsl.ch/soilmaps](https://www.wsl.ch/soilmaps).\r\n",
            67   "num_resources": 15, 67   "num_resources": 15,
            68   "num_tags": 9, 68   "num_tags": 9,
            69   "organization": { 69   "organization": {
            70     "approval_status": "approved", 70     "approval_status": "approved",
            71     "created": "2016-08-08T20:30:16.444200", 71     "created": "2016-08-08T20:30:16.444200",
            72     "description": "The availability of consistent and comprehensible  72     "description": "The availability of consistent and comprehensible 
            73 spatial data is fundamental for scientific research, in particular in  73 spatial data is fundamental for scientific research, in particular in 
            74 the context of long term observation series. An adequate documentation  74 the context of long term observation series. An adequate documentation 
            75 of the data quality and its history finally enables users to work  75 of the data quality and its history finally enables users to work 
            76 responsibly with these data.\r\n\r\nAs the research community gets  76 responsibly with these data.\r\n\r\nAs the research community gets 
            77 closer and the sharing of data becomes more common and important a  77 closer and the sharing of data becomes more common and important a 
            78 simple and intuitive access to these environmental data is a key  78 simple and intuitive access to these environmental data is a key 
            79 factor in large projects. Methods of spatial information analysis  79 factor in large projects. Methods of spatial information analysis 
            80 allow to build and link complex process models of different scientific  80 allow to build and link complex process models of different scientific 
            81 fields.\r\n\r\n###Tasks and main research\r\n\r\n* Developing  81 fields.\r\n\r\n###Tasks and main research\r\n\r\n* Developing 
            82 innovative methods to store the history, quality and accuracy of  82 innovative methods to store the history, quality and accuracy of 
            83 spatial & temporal data (event oriented spatial databases), developing  83 spatial & temporal data (event oriented spatial databases), developing 
            84 and implementing a method database, particularly in the context of the  84 and implementing a method database, particularly in the context of the 
            85 projects National Forest Inventory NFI and Datacenter Nature and  85 projects National Forest Inventory NFI and Datacenter Nature and 
            86 Landscape DNL\r\n* Analysing spatial and temporal data and modelling  86 Landscape DNL\r\n* Analysing spatial and temporal data and modelling 
            87 natural phenomena and processes\r\n* Developing algorithms for open  87 natural phenomena and processes\r\n* Developing algorithms for open 
            88 and intuitive search in geo-databases (e.g. ontologies)\r\n*  88 and intuitive search in geo-databases (e.g. ontologies)\r\n* 
            89 Developing and implementing concepts to provide spatially distributed  89 Developing and implementing concepts to provide spatially distributed 
            90 geographic information (virtual database)\r\n* Developing methods to  90 geographic information (virtual database)\r\n* Developing methods to 
            91 handle the uncertainties and inaccuracies (due to measurement and  91 handle the uncertainties and inaccuracies (due to measurement and 
            92 spatial resolution) of spatial data when used in models\r\n*  92 spatial resolution) of spatial data when used in models\r\n* 
            93 Maintaining and advancing the NFI-database and the Datacenter Nature  93 Maintaining and advancing the NFI-database and the Datacenter Nature 
            94 and Landscape (DNL), developing software for the NFI and DNL\r\n*  94 and Landscape (DNL), developing software for the NFI and DNL\r\n* 
            95 Maintaining and advancing the Geographical Information System of the  95 Maintaining and advancing the Geographical Information System of the 
            96 WSL\r\n* Knowledge transfer at university level, mainly through  96 WSL\r\n* Knowledge transfer at university level, mainly through 
            97 teaching positions, support and supervision of Master- and PhD-theses  97 teaching positions, support and supervision of Master- and PhD-theses 
            98 in the main topics of the GIS-Group\r\n\r\n__Further information__:  98 in the main topics of the GIS-Group\r\n\r\n__Further information__: 
            99 organization/research-units/forest-resources-and-management/gis.html", 99 organization/research-units/forest-resources-and-management/gis.html",
            100     "id": "a5d8660c-7635-4620-8289-fb6181c34e0c", 100     "id": "a5d8660c-7635-4620-8289-fb6181c34e0c",
            101     "image_url": "2018-07-10-090809.951188LogoWSL.svg", 101     "image_url": "2018-07-10-090809.951188LogoWSL.svg",
            102     "is_organization": true, 102     "is_organization": true,
            103     "name": "gis", 103     "name": "gis",
            104     "state": "active", 104     "state": "active",
            105     "title": "GIS", 105     "title": "GIS",
            106     "type": "organization" 106     "type": "organization"
            107   }, 107   },
            108   "owner_org": "a5d8660c-7635-4620-8289-fb6181c34e0c", 108   "owner_org": "a5d8660c-7635-4620-8289-fb6181c34e0c",
            109   "private": false, 109   "private": false,
            110   "publication": "{\"publication_year\": \"2024\", \"publisher\":  110   "publication": "{\"publication_year\": \"2024\", \"publisher\": 
            111 \"EnviDat\"}", 111 \"EnviDat\"}",
            112   "publication_state": "published", 112   "publication_state": "published",
            113   "related_datasets": "", 113   "related_datasets": "",
            114   "related_publications": "Baltensweiler A., Walthert L., Hanewinkel  114   "related_publications": "Baltensweiler A., Walthert L., Hanewinkel 
            115 M., Zimmermann S., Nussbaum M. (2021) Machine learning based soil maps  115 M., Zimmermann S., Nussbaum M. (2021) Machine learning based soil maps 
            116 for a wide range of soil properties for the forested area of  116 for a wide range of soil properties for the forested area of 
            117 Switzerland Geoderma Reg. 27, e00437 (13 pp.).  117 Switzerland Geoderma Reg. 27, e00437 (13 pp.). 
            118 37](https://doi.org/10.1016/j.geodrs.2021.e00437)\r\n\r\nBaltensweiler  118 37](https://doi.org/10.1016/j.geodrs.2021.e00437)\r\n\r\nBaltensweiler 
            119 A., Walthert L., Zimmermann S., Nussbaum M. (2022) Hochaufl\u00f6sende  119 A., Walthert L., Zimmermann S., Nussbaum M. (2022) Hochaufl\u00f6sende 
            120 Bodenkarten f\u00fcr den Schweizer Wald Schweiz. Z. Forstwes. 173(6),  120 Bodenkarten f\u00fcr den Schweizer Wald Schweiz. Z. Forstwes. 173(6), 
            121 288-291.  121 288-291. 
            122 [doi:10.3188/szf.2022.0288](https://doi.org/10.3188/szf.2022.0288)", 122 [doi:10.3188/szf.2022.0288](https://doi.org/10.3188/szf.2022.0288)",
            123   "relationships_as_object": [], 123   "relationships_as_object": [],
            124   "relationships_as_subject": [], 124   "relationships_as_subject": [],
            125   "resource_type": "dataset", 125   "resource_type": "dataset",
            126   "resource_type_general": "dataset", 126   "resource_type_general": "dataset",
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            590   "title": "Soil property maps for the Swiss forest", 590   "title": "Soil property maps for the Swiss forest",
            591   "type": "dataset", 591   "type": "dataset",
            592   "url": null, 592   "url": null,
            593   "version": "1.0" 593   "version": "1.0"
            594 } 594 }