Physical properties and stable isotope composition of rain, river, lake, and groundwater samples in the Canadian Arctic tundra and subarctic taiga (Summer 2018 and 2019)
Notice bibliographique
Résumé
This data set describes surface water and late season snow melt physical and geochemical observations collected around the Greiner Lake Watershed (near Cambridge Bay, NU) over July 2018 and between April and June 2019, as well as several rain, river, lake, and groundwater samples collected opportunistically. Snow and surface water samples were collected as part of the project entitled "Development of a multi-scale cryosphere monitoring network for the Kitikmeot region and Northwest territories using in-situ measurements, modeling and remote sensing" led by Dr. Alex Langlois, Université de Sherbrooke. Snow density profiles were measured by extracting snow samples at 3 cm intervals using 192 cm3 and 100 cm3 density cutters. The samples were weighed using a Pesola light series scale (100 g) from which density was calculated. Snow temperature was determined using a digital temperature probe (+/- 0.1°C). Surface water and late season snow melt geochemical properties were also determined following the methods outlined in Levasseur et al., (submitted). Briefly, snow was collected into 1 L HDPE plastic snow containers using a clean plastic trowel. Snow samples were melted at room and/or fridge temperature, with melt progression checked at regular intervals. Once melted, samples were filtered through 0.22 μm Sterivex-GV filters into Wheaton 4 mL Amber Vials with TFE-Lined Caps for the analysis of stable isotope composition (δ18O-H2O and δ2H-H2O). Rain samples were collected using a funnel rain gauge at the Canadian High Arctic Research Station, whereas lake and pond samples were collected from surface waters at the shore or edge, respectively. Soil and pore water samples were collected by digging a hole, filling containers and pressing their contents through a filter with a pestle. All water samples were then processed identically to the snow melt samples. River water samples were also collected from Freshwater Creek (69.131°N, -104.991°E), which directly drains Greiner Lake. Surface water samples for the determination of stable water isotopes were collected according to methods developed by the Arctic Great Rivers Observatory (Arctic-GRO; http://www.arcticgreatrivers.org/) as described in detail by Brown et al., 2020. For samples collected in 2018, stable isotope analyses were conducted at the Environmental Chemistry Facility at Brown University (RI) using a Picarro L1102-i Isotopic Water Liquid Analyzer with a standard error of +/- 0.1 ‰ for δ18O-H2O and +/-1 ‰ for δ2H-H2O. For samples collected in 2019, stable isotope analyses were conducted at the University of Calgary using a Los Gatos Research Liquid Water Isotope Analyzer with a reported analytical precision of ± 0.2‰ for δ18O-H2O and ± 2‰ for δ2H-H2O.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».