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47 results for “stock assessment”
Extended RAM Legacy Stock Assessment Database version 4.491
<p>Extended RAM Legacy Stock Assessment Database version 4.491</p> <p>Please be aware that this ‘mdl’ ('model fits included') version 4.491 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.491. This 'asmt' version (doi 10.5281/zenodo.3676088 ) is also available in our Zenodo repository: <a href="https://zenodo.org/communities/rlsadb/">https://zenodo.org/communities/rlsadb/</a></p>
Extended RAM Legacy Stock Assessment Database version 4.41
<p>Extended RAM Legacy Stock Assessment Database version 4.41</p> <p>Please be aware that this ‘mdl’ ('model fits included') version 4.41 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.41. This 'asmt' version (10.5281/zenodo.2542927) is also available in our Zenodo repository: <a href="https://zenodo.org/communities/rlsadb/">https://zenodo.org/communities/rlsadb/</a></p>
Extended RAM Legacy Stock Assessment Database version 4.46
<p>Extended RAM Legacy Stock Assessment Database version 4.46</p> <p>Please be aware that this ‘mdl’ ('model fits included') version 4.46 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.46. This 'asmt' version (10.5281/zenodo.3676083) is also available in our Zenodo repository: <a href="https://zenodo.org/communities/rlsadb/">https://zenodo.org/communities/rlsadb/</a></p>
Data from: Development of 54 novel SNP assays for sockeye and coho salmon and assessment of available SNPs to differentiate stocks within the Columbia River
Single nucleotide polymorphisms (SNPs) have potential for broad application in population and conservation genetics, but availability of these markers are limited in many non-model species. In this study, genomic and expressed sequence tagged (EST) sequences from closely related salmonids (Chinook salmon, and rainbow trout) were used to design primers for amplification and sequencing of sockeye (Oncorhynchus nerka) and coho (O. kisutch) salmon DNA for SNP discovery. One-hundred and six primer sets were designed and tested for amplification in each species. An ascertainment panel of 32 diverse individuals from each species was used as template for PCR amplification and Sanger sequencing. In total 21,647 bases of consensus sequence were screened in sockeye salmon and 20,784 bases in coho salmon with 93 and 149 SNP sites identified, respectively. Sixty four SNP sites were chosen for assay development and 54 of the assays were validated by comparison of genotype and sequence data (O. nerka = 23; O. kisutch = 31). These validated SNP assays along with 142 other available SNP assays (O. nerka = 103 [126 total]; O. kisutch = 30[61 total]) were used to genotype collections of O. nerka (N = 5) and O. kisutch (N = 4) from various sites in the Columbia River to evaluate the utility of these markers in this region. Results from factorial correspondence analysis (FCA) indicate that these SNP markers are capable of distinguishing O. nerka populations, but O. kisutch collections were less distinct due to their common ancestry.
Data from: Development of 54 novel SNP assays for sockeye and coho salmon and assessment of available SNPs to differentiate stocks within the Columbia River
Open the record for dataset details and reuse information.
RAM Legacy Stock Assessment Database v4.46
<p>RAM Legacy Stock Assessment Database version 4.46</p>
RAM Legacy Stock Assessment Database v4.491
<p>RAM Legacy Stock Assessment Database version 4.491</p>
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