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Soil Data Example Discussion from UC2
https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/QJNQVN
Evaluation: Poor organization, no spatial info, no procedural info.
Contents:
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Excel Data File
- No spatial information
- Depth info in Excel (upper_lower)
- Contains conversion factors for specific properties
- UoM as additional row under ObsProps
- No procedural information
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Metadata file
- Only administrative info, responsibles
Structure:
- classic CSV, columns for spatial, then ObsProp
Large variability of soil microbial diversity and functions in an over 20-year old Eucalyptus grandis plantation
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/QN22CM
Evaluation: Poor, only relative spatial information, no real coordinates. UoM difficult as mixing in Property. Does include procedure
Contents:
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Excel Data File
- readme tab contains all columns with description, UoM and methodology
- includes depth information for all locations
- Site location is not provided in readme, only name of site "Itatinga Experimental Station, University of São Paulo"
- spatial information provided in m, but no information on the origin
- issues with UoM as usually includes compound, should be shifted to ObsProp.
- Not UoM "mg C g-1 soil DW h-1", ObsProp "Glucose-induced respiration rate"
- Should be UoM "mg g-1 h-1", ObsProp "Glucose-induced respiration rate as C in soil DW"
- data file: fairly normal
- one column includes %, other just provide a fraction, though UoM same
- readme tab contains all columns with description, UoM and methodology
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Metadata file
- in addition to administrative metadata, quite a bit of descriptive content.
- Includes keywords, partially even from AgroVoc.
Structure:
- Classic CSV
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/PWM9WW
Evaluation: Good!
Contents:
- CIV_Cacao_sols Nguessan.txt - metadata
- Contains ObsProp, UoM and method for all columns
- CIV_Cacao_sols Nguessan.xlsx - data
- coordinates seem to be WGS84 (or related)
- some values are colored (red or green), unclear what this means
Structure:
- Classic CSV (explained in accompanying txt file):
- first columns spatial (text and Lat/Lon)
- ObsProps
https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/USNIMD
- same as Greek monitoring (eco2adapt)
Evaluation: Poor, no spatial info, no procedural info
Contents:
Structure:
- classic CSV, columns for spatial, then ObsProp
https://zenodo.org/records/14524990
Evaluation: Poor, no spatial info, no procedural info
Contents:
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dataset
- no spatial information, only sample ID
- ObsProps explained for first table, other tables without explaination
- No additional metadata provided
Structure:
- first 2 tabs classic CSV: sample_id followed by diverse ObsProps (first table even has names for column headers in a further column)
- 2nd 2 tabs are quite strange (fungal and bacterial data). Assumption:
- the first header row is sample_id (and "Taxonomy" at the end)
- each column contains "ASV" values for a different bacterium or fungus, indicated in the last column with the header "Taxonomy"
Measurements at multiple points and multiple times (will we have this situation in the Mission Soil projects ? I can investigate during MS week the 5-6 nevember) :
Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory
https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/TVAHUQ
Evaluation: Excellent!!! Only issue is that some bits are nested in further files, some in french
Contents:
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data
- additional metadata file in data, includes valuable information, e.g. CRS
- links to further metadata files, includes
- measurement design
- information on the sensor model
- accuracy
- UoM is hidden, but there
- links to further metadata files, includes
- file with spatial information of all locations (CRS described above)
- additional metadata file in data, includes valuable information, e.g. CRS
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metadata
- mostly administrative, but does include keywords, more than others
Structure:
- classic CSV with headers, split across 2 files:
- Spatial: points, ID, sensor_type, date
- Measurements: point_ID, time, value
https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/JOZ1NA
Evaluation: Could be excellent if the data were actually provided
Contents:
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Dataset
- Same additional information as "Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory" above
- Missing the actual datasets
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Metadata
- Same as "Long term monitoring of near surface soil temperature in the french Alps part of ORCHAMP observatory" above
Replication Data for: "Phosphorus sorption capacity and availability along a toposequence of agricultural soils: distinct effects of soil type and decadal fertilizer applications"
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/CUII08
Evaluation: OK, much relevant information encoded in prose, no time as experimental
Contents:
-
Dataset
- readme with additional info on ObsProps (name, procedure, UoM) as prose
-
Metadata
- basic administrative
- keywords from agrovoc
- procedural information in prose
Structure:
- column for location (not given)
- additional columns per ObsProp
- time in filename
Replication Data for: "Increased soil pH and dissolved organic matter after a decade of organic fertilizer application mitigates copper and zinc availability despite contamination"
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/C7WTZB&version=2.0
Evaluation: OK, same as "Replication Data for: "Phosphorus sorption..." above, only different is ObsProp groups
Contents:
- Dataset
-
Metadata
- uses concepts from AGRIS/CARIS, only reference to html doc, no concept links
Structure:
- column for location (not given)
- additional columns per ObsProp
- additional header row to indicate ObsProp/Treatment groups
- time in filename
- some UoM as column (Rate unit)
Replication Data for: “Phosphorus sorption and availability in an andosol after a decade of organic or mineral fertilizer applications: importance of pH and organic carbon modifications in soil as compared to phosphorus accumulation"
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/L9SQVO&version=3.0
Evaluation: OK, too much in prose, no time as experimental
Contents:
-
Dataset
- Time given as offset to treatment (6y & 10y)
- readme with additional info on ObsProps (name, procedure, UoM) as prose, reference to "related paper" for details, incl. procedure
- Metadata
- uses concepts from AGRIS/CARIS, only reference to html doc, no concept links
- Generally fairly complete, but moch im prose
Structure:
- column for location (not given)
- additional columns per ObsProp
- additional header row to indicate time offset from treatment
Replication Data for: Does a decade of soil organic fertilization promote copper and zinc bioavailability to epi-endogeic earthworms?
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/TU9DRY&version=1.1
Evaluation: OK, too much in prose, no time as experimental
Contents:
-
Dataset
- readme with additional info on ObsProps (name, procedure, UoM) as prose, reference to "related paper" for details, incl. procedure
- 2nd header row further indicating type of data, Unclear what "WHAM" column groups refer to
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Metadata
- Fairly complete
Structure:
- column for location (not given)
- additional columns per ObsProp
- additional header row to indicate ObsProp/Treatment groups
Data for: Maize-cowpea intercropping as an ecological intensification option for low input systems in sub-humid Zimbabwe: productivity, biological N2-fixation and grain mineral content
https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/IJOA5J&version=2.1
Evaluation: Poor, user left to guess what isn't micro-encoded in the column headers
Contents:
- Dataset
- No info on columns
- complex as covers diverse treatments
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Metadata
- Fairly complete
Structure:
- Several columns for FoI
- Time as column, offset from treatment
- additional columns per ObsProp
Achievable agricultural soil carbon sequestration across Europe from country-specific estimates: supplementary material
https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.57745/DPAL0I&version=1.0
Evaluation: Not relevant, questionnaire on MS estimations (not values, just X if they do). A small table with national averages in the accompanying docx, but I'm not going there now!
Evaluation: 404 Not Found