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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
data | graph | files | public | [Acropora cervicornis white band exposure experiment survival outcomes] - Acropora cervicornis genomic/trancriptomic sequence accessions with associated data on tank exposure to white band disease and survival outcomes with corals collected from Florida, USA and Bocas del Toro, Panama in 2021 (Multi-omic bases of coral disease resistance) | M | background | BCO-DMO | bcodmo_dataset_922006_v1 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.922006.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/922006 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | license | String | The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | summary | String | Genomic data was collected from 96 Acropora cervicornis samples, 48 of which were collected from the Coral restoration foundation nursery in Florida in June 2021 and the other 48 were collected from Bocas del Toro Panama in November 2021. All samples were sequenced using illumina short read sequencing to create whole genome sequencing profiles of the DNA with one of the Florida samples, the K2 genotype, being sequenced using additional Nanopore long reads to assemble and annotate an A. cervicornis genome. All genotypes were used in a disease exposure assay to assess individual genotype disease resistance with a further, 16 colonies from Florida being sequenced at two timepoints across disease exposed and healthy colonies (total 48 sequences) using RNAseq to identify patterns in differential gene expression based on disease resistance. This dataset includes sample metadata, treatment information, and disease state for corals in the exposure experiment. Sample metadata and accession identifiers for sequences at The National Center for Biotechnology Information (NCBI) are included as a supplemental file. |
attribute | NC_GLOBAL | title | String | [Acropora cervicornis white band exposure experiment survival outcomes] - Acropora cervicornis genomic/trancriptomic sequence accessions with associated data on tank exposure to white band disease and survival outcomes with corals collected from Florida, USA and Bocas del Toro, Panama in 2021 (Multi-omic bases of coral disease resistance) |
variable | Tank | String | ||
attribute | Tank | long_name | String | Tank |
attribute | Tank | units | String | untiless |
variable | Treatment | String | ||
attribute | Treatment | long_name | String | Treatment |
attribute | Treatment | units | String | untiless |
variable | Location | String | ||
attribute | Location | long_name | String | Location |
attribute | Location | units | String | untiless |
variable | Genotype | String | ||
attribute | Genotype | long_name | String | Genotype |
attribute | Genotype | units | String | untiless |
variable | Day_1_AM | int | ||
attribute | Day_1_AM | actual_range | int | 0, 1 |
attribute | Day_1_AM | long_name | String | Day_1_am |
attribute | Day_1_AM | units | String | untiless |
variable | Day_1_PM | int | ||
attribute | Day_1_PM | actual_range | int | 0, 1 |
attribute | Day_1_PM | long_name | String | Day_1_pm |
attribute | Day_1_PM | units | String | untiless |
variable | Day_2_AM | int | ||
attribute | Day_2_AM | actual_range | int | 0, 1 |
attribute | Day_2_AM | long_name | String | Day_2_am |
attribute | Day_2_AM | units | String | untiless |
variable | Day_2_PM | int | ||
attribute | Day_2_PM | actual_range | int | 0, 1 |
attribute | Day_2_PM | long_name | String | Day_2_pm |
attribute | Day_2_PM | units | String | untiless |
variable | Day_3_AM | int | ||
attribute | Day_3_AM | actual_range | int | 0, 1 |
attribute | Day_3_AM | long_name | String | Day_3_am |
attribute | Day_3_AM | units | String | untiless |
variable | Day_3_PM | int | ||
attribute | Day_3_PM | actual_range | int | 0, 1 |
attribute | Day_3_PM | long_name | String | Day_3_pm |
attribute | Day_3_PM | units | String | untiless |
variable | Day_4_AM | int | ||
attribute | Day_4_AM | actual_range | int | 0, 1 |
attribute | Day_4_AM | long_name | String | Day_4_am |
attribute | Day_4_AM | units | String | untiless |
variable | Day_4_PM | int | ||
attribute | Day_4_PM | actual_range | int | 0, 1 |
attribute | Day_4_PM | long_name | String | Day_4_pm |
attribute | Day_4_PM | units | String | untiless |
variable | Day_5_AM | int | ||
attribute | Day_5_AM | actual_range | int | 0, 1 |
attribute | Day_5_AM | long_name | String | Day_5_am |
attribute | Day_5_AM | units | String | untiless |
variable | Day_5_PM | int | ||
attribute | Day_5_PM | actual_range | int | 0, 1 |
attribute | Day_5_PM | long_name | String | Day_5_pm |
attribute | Day_5_PM | units | String | untiless |
variable | Day_6_AM | int | ||
attribute | Day_6_AM | actual_range | int | 0, 1 |
attribute | Day_6_AM | long_name | String | Day_6_am |
attribute | Day_6_AM | units | String | untiless |
variable | Day_6_PM | int | ||
attribute | Day_6_PM | actual_range | int | 0, 1 |
attribute | Day_6_PM | long_name | String | Day_6_pm |
attribute | Day_6_PM | units | String | untiless |
variable | Day_7_AM | int | ||
attribute | Day_7_AM | actual_range | int | 0, 1 |
attribute | Day_7_AM | long_name | String | Day_7_am |
attribute | Day_7_AM | units | String | untiless |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.