AEON Fine-Scale Acoustic Survey (FSAS) Raw Data
Notice bibliographique
Résumé
FSAS datasets are shown by the collection site and date measurements were performed; see associated cruise reports for cruise-specific information on how and when these data were collected. Generally, FSAS grids are composed of 4 to 5 line transects, with the survey grid centered on bottom-lander at the given AEON site. Transducer depth is set to 1 m below the surface, the approximate depth at which the towfish (to which the transducers were mounted) was towed.Each .csv file is the survey data at a single frequency, for all transect lines. The naming convention of each file is as follows, with periods separating each component: Date = start date (2022.01.08)Cruise = ship name (Warren, Beast, etc.) Site = three letter site code (WIB, etc.)FSAS number = Assigned FSAS number per cruise, as listed in cruise log (FSAS1) Freq = three digit frequency (120kHz) Export bin dimensions = 005mvert_100mhorz Each .csv contains the following variables: Process ID = ID number per exportInterval = Cell column Layer = Cell rowSV_mean = Mean SV in the cell (dB re 1m-1) NASC = Nautical area scattering coefficient (m2nmi-2) for the cellSV_max = Maximum Sv in the cell (dB re 1m-1) SV_min = Minimum Sv in the cell (dB re 1m-1)SV_noise = Mean noise Sv in the cell (dB re 1m-1) Depth_mean = Mean depth of the cell (m)Ping_M = Ping number of middle ping in the cell Dist_M = GPS-measured distance from first ping to middle ping in the cell (m)Date_M = Date of middle ping in the cell (YYYYMMDD) Time_M = Time of middle ping in the cell (UTC)Lat_M = Latitude of middle ping in the cell (decimal degrees) Lon_M = Longitude of middle ping in the cell (decimal degrees)Program_version = Echoview software version number Processing_version = File format version used for analysis (value = 3 since Echoview 1.40)Processing_date = Date on which the data were exported (YYYYMMDD) Processing_time = Time at which the data were exported (EST)Alpha = Absorption coefficient from calibration file (dB/m) Gain_constant = Value of echosounder calibration constant (dB re 1m2/m3)Noise_Sv_1m = Background noise at 1m (dB re 1m2/m3) ABC = Area backscattering coefficient for the cell (m2m-2)Thickness_mean = Mean extent along the beam axis of cell (m) Frequency = Echosounder frequency value (kHz) This collection represents the data collected from the Acoustic and Environmental Observation Network (AEON) in the U.S. Northwest Atlantic, developed and deployed 2021. The AEON network of five observation nodes complements existing oceanographic monitoring infrastructure in the Gulf of Maine. The observatory network provides simultaneous, long-term monitoring of soundscapes and multiple acoustically-relevant parameters such as marine mammal behavior and prey concentration at key locations where changes in the Labrador and Gulf Stream currents are projected to affect the Gulf of Maine.The lead P.I. for this project is Dr. Jennifer Miksis-Olds, University of New Hampshire (UNH). Dr. Miksis-Olds leads a collaborative research team consisting of individuals from UNH, JASCO Applied Sciences, Stony Brook University, and other associates.Please cite these data as Jennifer Miksis-Olds, AEON PI, University of New Hampshire with funding from U.S. Department of Defense, Office of Naval Research Awards N00014-20-1-2312, N00014-23-12767, N00014-24-12740.Raw data [including detailed metadata] are archived at the NOAA National Centers for Environmental Information : Active Acoustic raw data, https://www.ncei.noaa.gov/maps/water-column-sonar/ Passive Acoustic raw data, https://www.ncei.noaa.gov/maps/passive_acoustic_data/ The AEON network in the Gulf of Maine totals 5 observation nodes. Datasets are indicated by siteAEON1 NEC, Northeast Channel, CanadaAEON2 ECS, Eastern Coastal Shelf, CanadaAEON3 GEB, Georges Basin, USAEON4 JOB, Jordan Basin, USAEON5 WIB, Wilkinson Basin, USSampling period is reflected as "Deploy date-Recovery date" (e.g., Jan2022-Feb2023 was deployed January 2022 and recovered February 2023).Dataset manifest:Research Cruise 2: Jasco dataset 1: Feb 2021 thru July 2021 (AEON4 JOB, AEON5 WIB)Research Cruise 3: Jasco dataset 2: July 2021 thru Jan 2022 (AEON3 GEB, AEON4 JOB, AEON5 WIB)Research Cruise 4: Jasco dataset 3: Jan 2022 thru Dec 2022 (AEON1 NEC, AEON2 ECS, AEON3 GEB, AEON4 JOB, AEON5 WIB)Research Cruise 5: Jasco dataset 4: Feb 2023 thru Feb 2024 (AEON1 NEC, AEON2 ECS, AEON3 GEB) and Dec 2022 thru Dec 2023 (AEON4 JOB, AEON5 WIB)Research Cruise 6: Jasco dataset 5: Mar/Apr 2024 thru Apr 2025 (AEON1 NEC, AEON2 ECS, AEON3 GEB, AEON5 WIB)Research Cruise 7 is planned for April 2026Project Website is: https://eos.unh.edu/aeon Contact: "Jennifer Miksis-Olds" See also: https://eos.unh.edu/center-acoustics-research-education Data are supplied as-is and no warranty is made, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,075 | 0,044 |
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 ».