Changes
On January 21, 2022 at 12:14:19 PM UTC,
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Set visibility of Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale to Public
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Added the following tags to Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale
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| 2 | "alternate_identifier": "https://doi.org/10.17632/v9mgbmtnf2.1", | 2 | "alternate_identifier": "https://doi.org/10.17632/v9mgbmtnf2.1", | ||
| 3 | "author": null, | 3 | "author": null, | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "contact_name": "Amirhossein Hassani, Adisa Azapagic, Nima Shokri", | 5 | "contact_name": "Amirhossein Hassani, Adisa Azapagic, Nima Shokri", | ||
| 6 | "creator_user_id": "5a8f8a2c-2834-4053-a3b3-2009e774b8d9", | 6 | "creator_user_id": "5a8f8a2c-2834-4053-a3b3-2009e774b8d9", | ||
| 7 | "documentation": "https://www.pnas.org/content/117/52/33017#sec-10", | 7 | "documentation": "https://www.pnas.org/content/117/52/33017#sec-10", | ||
| 8 | "groups": [], | 8 | "groups": [], | ||
| 9 | "id": "44cb524f-dcab-4e49-9eae-d33747432dd1", | 9 | "id": "44cb524f-dcab-4e49-9eae-d33747432dd1", | ||
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| 17 | "metadata_created": "2022-01-20T17:04:03.376467", | 17 | "metadata_created": "2022-01-20T17:04:03.376467", | ||
| n | 18 | "metadata_modified": "2022-01-20T17:04:11.445040", | n | 18 | "metadata_modified": "2022-01-21T12:14:19.231035", |
| 19 | "name": | 19 | "name": | ||
| 20 | g-long-term-dynamics-of-soil-salinity-and-sodicity-on-a-global-scale", | 20 | g-long-term-dynamics-of-soil-salinity-and-sodicity-on-a-global-scale", | ||
| 21 | "notes": "This dataset globally (excluding frigid/polar zones) | 21 | "notes": "This dataset globally (excluding frigid/polar zones) | ||
| 22 | quantifies the different facets of variability in surface soil (0 | 22 | quantifies the different facets of variability in surface soil (0 | ||
| 23 | \u2013 30 cm) salinity and sodicity for the period between 1980 and | 23 | \u2013 30 cm) salinity and sodicity for the period between 1980 and | ||
| 24 | 2018. This is realised by developing 4-D predictive models of | 24 | 2018. This is realised by developing 4-D predictive models of | ||
| 25 | Electrical Conductivity of saturated soil Extract (ECe) and soil | 25 | Electrical Conductivity of saturated soil Extract (ECe) and soil | ||
| 26 | Exchangeable Sodium Percentage (ESP) as indicators of soil salinity | 26 | Exchangeable Sodium Percentage (ESP) as indicators of soil salinity | ||
| 27 | and sodicity. These machine learning-based models make predictions for | 27 | and sodicity. These machine learning-based models make predictions for | ||
| 28 | ECe and ESP at different times, locations, and depths and by | 28 | ECe and ESP at different times, locations, and depths and by | ||
| 29 | extracting meaningful statistics form those predictions, different | 29 | extracting meaningful statistics form those predictions, different | ||
| 30 | facets of variability in the surface soil salinity and sodicity are | 30 | facets of variability in the surface soil salinity and sodicity are | ||
| 31 | quantified. The dataset includes 10 maps documenting different aspects | 31 | quantified. The dataset includes 10 maps documenting different aspects | ||
| 32 | of soil salinity and sodicity variations, and auxiliary data required | 32 | of soil salinity and sodicity variations, and auxiliary data required | ||
| 33 | for generation of those maps. \r\nUsers are referred to the | 33 | for generation of those maps. \r\nUsers are referred to the | ||
| 34 | corresponding \"READ_ME\" file for more information about this | 34 | corresponding \"READ_ME\" file for more information about this | ||
| 35 | dataset.", | 35 | dataset.", | ||
| 36 | "num_resources": 1, | 36 | "num_resources": 1, | ||
| n | 37 | "num_tags": 0, | n | 37 | "num_tags": 2, |
| 38 | "organization": { | 38 | "organization": { | ||
| 39 | "approval_status": "approved", | 39 | "approval_status": "approved", | ||
| 40 | "created": "2021-01-08T11:55:00.657586", | 40 | "created": "2021-01-08T11:55:00.657586", | ||
| 41 | "description": "", | 41 | "description": "", | ||
| 42 | "id": "b81f6541-d887-4dc5-aad6-86fde01a521b", | 42 | "id": "b81f6541-d887-4dc5-aad6-86fde01a521b", | ||
| 43 | "image_url": "", | 43 | "image_url": "", | ||
| 44 | "is_organization": true, | 44 | "is_organization": true, | ||
| 45 | "name": "ufz", | 45 | "name": "ufz", | ||
| 46 | "state": "active", | 46 | "state": "active", | ||
| 47 | "title": "UFZ", | 47 | "title": "UFZ", | ||
| 48 | "type": "organization" | 48 | "type": "organization" | ||
| 49 | }, | 49 | }, | ||
| 50 | "owner_org": "b81f6541-d887-4dc5-aad6-86fde01a521b", | 50 | "owner_org": "b81f6541-d887-4dc5-aad6-86fde01a521b", | ||
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| 55 | { | 55 | { | ||
| 56 | "cache_last_updated": null, | 56 | "cache_last_updated": null, | ||
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| 58 | "created": "2022-01-20T17:04:11.097895", | 58 | "created": "2022-01-20T17:04:11.097895", | ||
| 59 | "datastore_active": false, | 59 | "datastore_active": false, | ||
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| 64 | "last_modified": null, | 64 | "last_modified": null, | ||
| 65 | "license": "", | 65 | "license": "", | ||
| 66 | "metadata_modified": "2022-01-20T17:04:11.454234", | 66 | "metadata_modified": "2022-01-20T17:04:11.454234", | ||
| 67 | "mimetype": null, | 67 | "mimetype": null, | ||
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| 69 | "name": "download data", | 69 | "name": "download data", | ||
| 70 | "package_id": "44cb524f-dcab-4e49-9eae-d33747432dd1", | 70 | "package_id": "44cb524f-dcab-4e49-9eae-d33747432dd1", | ||
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| 74 | "state": "active", | 74 | "state": "active", | ||
| 75 | "url": "https://data.mendeley.com/datasets/v9mgbmtnf2/1", | 75 | "url": "https://data.mendeley.com/datasets/v9mgbmtnf2/1", | ||
| 76 | "url_type": null | 76 | "url_type": null | ||
| 77 | } | 77 | } | ||
| 78 | ], | 78 | ], | ||
| 79 | "spatial_resolution": "1000", | 79 | "spatial_resolution": "1000", | ||
| 80 | "spatial_resolution_type": "meters", | 80 | "spatial_resolution_type": "meters", | ||
| 81 | "state": "active", | 81 | "state": "active", | ||
| t | 82 | "tags": [], | t | 82 | "tags": [ |
| 83 | { | ||||
| 84 | "display_name": "global", | ||||
| 85 | "id": "541b15db-69cd-4bda-9a63-3699daec6eb1", | ||||
| 86 | "name": "global", | ||||
| 87 | "state": "active", | ||||
| 88 | "vocabulary_id": null | ||||
| 89 | }, | ||||
| 90 | { | ||||
| 91 | "display_name": "salinity", | ||||
| 92 | "id": "ccb79d06-8b89-483d-83ef-5f3847b7b0a9", | ||||
| 93 | "name": "salinity", | ||||
| 94 | "state": "active", | ||||
| 95 | "vocabulary_id": null | ||||
| 96 | } | ||||
| 97 | ], | ||||
| 83 | "temporal_end": "2019-12-31", | 98 | "temporal_end": "2019-12-31", | ||
| 84 | "temporal_resolution": "annual", | 99 | "temporal_resolution": "annual", | ||
| 85 | "temporal_start": "2000-01-01", | 100 | "temporal_start": "2000-01-01", | ||
| 86 | "theme": "", | 101 | "theme": "", | ||
| 87 | "title": "Predicting Long-term Dynamics of Soil Salinity and | 102 | "title": "Predicting Long-term Dynamics of Soil Salinity and | ||
| 88 | Sodicity on a Global Scale", | 103 | Sodicity on a Global Scale", | ||
| 89 | "type": "dataset", | 104 | "type": "dataset", | ||
| 90 | "uri": | 105 | "uri": | ||
| 91 | r-dmp.geo.tu-dresden.de/dataset/44cb524f-dcab-4e49-9eae-d33747432dd1", | 106 | r-dmp.geo.tu-dresden.de/dataset/44cb524f-dcab-4e49-9eae-d33747432dd1", | ||
| 92 | "url": "https://data.mendeley.com/datasets/v9mgbmtnf2/1", | 107 | "url": "https://data.mendeley.com/datasets/v9mgbmtnf2/1", | ||
| 93 | "version": null, | 108 | "version": null, | ||
| 94 | "was_derived_from": "" | 109 | "was_derived_from": "" | ||
| 95 | } | 110 | } |
