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Enregistrement W6926472901 · doi:10.21966/jxrd-8g95

Carbon and nitrogen stable isotope ratios and elemental composition of specimens from the pelagic food web collected during the 2019 International Year of the Salmon expedition to the Gulf of Alaska

2019· dataset· en· W6926472901 sur OpenAlexaff

Notice bibliographique

RevueHakai Institute · 2019
Typedataset
Langueen
DomaineMedicine
ThématiqueMicrobial Natural Products and Biosynthesis
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésZooplanktonPelagic zoneNitrogenSeawaterFood webStable isotope ratioCarbon fibersOn boardSieve (category theory)

Résumé

récupéré en direct d'OpenAlex

All samples were collected on board of the chartered R/V Professor Kaganovsky between February and March 2019 during the winter expedition of the International Year of the Salmon project to the Gulf of Alaska, North Pacific Ocean. Samples of Particulate Organic Matter (POM) were obtained by filtering approximately 2 L of water onto pre-combusted 25 mm GF/F filters with a vacuum pump. Water samples were collected at every station from 5m depth using Niskin bottles. Two replicates were filtered per station, one subsample was acidified by immersion in 1M HCl for 30 seconds. After acidification, the sample was rinsed with 0.7 μm filtered seawater and dried by applying vacuum pressure to the filter. Each filter was transferred to its own aluminum foil envelope and stored at -20oC. Zooplankton samples were collected with a Bongo net (50 cm mouth diameter and 236 µm mesh) hauled vertically from 250 m depth. The zooplankton sample collected at each station was size fractionated using a sieve stack with 4 mm, 2 mm, 1 mm, 0.5 mm and 0.25 mm mesh sizes, and then frozen at -40°C. Samples of salmon, squids, jellyfish, myctophids and other fishes were obtained using a surface trawl (~120 m2, 30m deep x 40m wide) deployed at each station and towed at 4-5 knots for one hour. All organisms caught in the trawl were identified to the lowest practical taxon (species except for some invertebrates), enumerated, and measured (length [total, fork, mantle, or bell diameter as appropriate] to the nearest 1 mm, weight to the nearest 1 g). For salmonids, a 2x2 cm piece of muscle tissue was collected from above the lateral line and in front of the dorsal fin and stored at -40°C. For large non-salmonid fish, a muscle sample was collected in the same way as for salmonids samples. A 2x2 cm piece of muscle from the anterior dorsal margin of the mantle was collected from squids, and jellyfish were collected either whole or a piece in the case of large specimens. For micronekton species, either a piece of muscle was sampled (e.g., myctophids posterior region; squids’ mantle) or the specimen was analysed whole (e.g., krill, small jellyfish). All samples were stored frozen at -20○C. Samples were then processed in the laboratory at the University of British Columbia. POM Filters were oven dried at 50°C and later encapsulated for isotopic analysis. POM ẟ13C values are reported from the set of acidified samples, while ẟ15N are reported from non-acidified samples. Animal samples were either oven dried at 50°C (zooplankton, squids, myctophids and non-salmonid fishes) or freeze-dried (salmon and jellyfish), and then homogenized to a fine powder using mortar and pestle. Approximately 1 mg of each sample was encapsulated in tin caps and sent for carbon and nitrogen analysis at the UC Davis stable isotope facility (Davis, CA, USA). Tissue samples were analysed using an elemental analyser (PDZ Europa ANCA-GSL) interfaced to an isotope ratio mass spectrometer (PDZ Europa 20-20, Sercon Ltd., Cheshire, UK). Details on analytical procedure are provided in the supplementary materials 1. The data reported includes each sample ẟ13C (raw and lipid corrected, see supplementary material 1 and 2), total C content (mg), ẟ15N, total N content (mg), CN ratios, calculated trophic positions (see supplementary material 3), and salmon condition factor (supplementary material 4), in addition to the metadata associated with each sample (e.g., coordinates of oceanographic station and bottom depth where specimens were collected, etc.).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,284
Score d'incertitude au seuil0,294

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,011
Tête enseignante GPT0,221
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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