MétaCan
Menu
Retour à la cohorte
Enregistrement W6926588751 · doi:10.21966/3nm8-av33

Stream Event Sampling - Calvert Island - 2015-2018

2015· dataset· en· W6926588751 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueHakai Institute · 2015
Typedataset
Langueen
DomaineMedicine
ThématiqueMicrobial Natural Products and Biosynthesis
Établissements canadiensVancouver Island University
Organismes subventionnairesnon disponible
Mots-clésHydrographWatershedHydrology (agriculture)STREAMSSampling (signal processing)StormEvent (particle physics)Streamflow

Résumé

récupéré en direct d'OpenAlex

The Stream Event Sampling survey is a part of the Kwakshua Watersheds Program. It was designed to investigate the change in river water chemistry (with a focus on Dissolved Organic Carbon) with changing river flow associated with a rain event. On the one hand, the goal was to collect high flow water samples for a wide range of rain events and across seasons for the seven focal stream outlets of the Kwakshua Watersheds Program. For each rain event, a single high flow sample has been selected and used in the estimate of dissolved organic carbon flux from these watersheds (Oliver et al., 2017). On the other hand, the goal was to collect a detailed sequence of stream water samples along the rising and falling limbs of the storm hydrographs of the seven focal streams. Two stream event surveys were conducted in great detail for a late summer and early fall event at all seven watersheds in 2014 . In addition several discrete high flow samples were taken during that summer (2014 data available here: https://doi.org/10.21966/ywbk-5h57). In summer 2015, one rain event was captured entirely by stream event samples for all seven watersheds. After installation of the pump sampler at watershed 708, several rain events were sampled at that location in the fall of 2015. In 2016, only discrete high flow samples were collected for two rain events in April. In 2017, two full rain events were sampled at all watersheds in May and in July. Additionally, discrete high flow grab samples were taken in June and August. Several full rain events were sampled in the fall of 2017 with the autosampler at watershed 708. In 2018, only discrete high flow samples from the watershed outlets were taken at several rain events throughout the year. High flow water samples along the rising limb were taken with the aid of an automatic rack sampler. This is a mechanical device that samples water at predefined water stages. Several bottles are mounted at vertical increments above low water level. As the water level rises, bottles fill in sequence. Each bottle has an intake device that allows it to fill curing the rise while preventing further exchange of sample water with the stream. The exact water stages are determined with the aid of an Odyssey water stage logger installed nearby. In fall 2015, an automatic electronic pump sampler was installed at watershed 708, which allowed us to remotely (or programmatically) trigger the collection of stream samples. Samples taken prior to a rain event and along the falling limb of an hydrograph were taken manually. These three distinct sample methods are named Rack Sample (RS), Auto Sample (AS) and Grab Sample (GS). Sample water was analyzed for SUVA from Hakai Institute; Dissolved Organic Carbon and Alkalinity, cations and anions from North Road Analytical Laboratory; DO13C from GGHATCH; Total Dissolved Nitrogen, Total Nitrogen, Total Dissolved Phosphorous, Total Phosphorous, NH4 and O18/H2 isotopes from University of Alberta; NO3, SiO2 and PO4 from UBC; Particular Organic Matter from UC Davies; Specific Conductance, temperature, pH, ORP and DO from in situ collection with a YSI. Sample metadata includes the time of collection (Pacific Standard Time), the time a sample was retrieved from either the rack sampler or the autosampler, the time of sample preservation and filtration and the date of sample analysis. It also includes a ‘sampling bout’, which indicates the chronological order of a set of samples that were taken during the same storm event at the same watershed. Further on the sampling method is indicated (RS, AS or GS). Please consult the ‘STR_data_dictionary_2015-2018’ file for a detailed description of all variables and acronyms used as column headers and flags, including units for each variable. Samples collected in 2014 only includes Dissolved Organic Carbon and SUV absorbance samples. Sample ID labels do not correspond with current Hakai ID’s and are therefore not stored in the Hakai data portal. Therefore, these data are stored in a separate spreadsheet (STR data package 2014 v1.21.xlsx) in the following data package: https://doi.org/10.21966/ywbk-5h57 The data collected in 2014 have been analyzed and reported in the MSc thesis of M.C. Korver (2015). The data of 2015 and beyond are here available but have yet to be analyzed. This dataset is near completion: POMS data collected in April, August and November 2018 is awaiting processing at UC DAVIES and O18 data collected in November 2018 is awaiting analysis at the University of Alberta.

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.

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 candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,044
Tête enseignante GPT0,319
Écart entre enseignants0,275 · 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