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Enregistrement W4395281771 · doi:10.15468/6autvb

Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America

2017· dataset· en· W4395281771 sur OpenAlexaboutno aff
Sam Droege, Clare Maffei

Notice bibliographique

RevueGlobal Biodiversity Information Facility · 2017
Typedataset
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and animal studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInsectHymenopteraBiologyHoney BeesFocus (optics)GeographyZoologyEcology

Résumé

récupéré en direct d'OpenAlex

Species occurrence records for native and non-native bees, wasps and other insects collected for many different projects using mainly bowl, malaise, and vane trapping and insect netting methods in Canada, Mexico, the non-contiguous United States, U.S. Territories (specifically U.S. Virgin Islands), U.S. Minor Outlying Islands and other global locations with the bulk of the specimens coming from projects requested by partners in the Eastern United States often from Federal lands such as USFWS, NPS, DOD, USFS. Some records also contain notes regarding plants or substrates from which insects were collected or that were present and/or in flower at the time the insects were collected. Unless otherwise noted, taxonomic determinations (identifications) were completed by Sam Droege (USGS Bee Lab at the Eastern Ecological Science Center (EESC)) and Clare Maffei (USFWS, National Wildlife Refuge System, Inventory and Monitoring Branch).The USGS Bee Lab currently keeps only a small synoptic collection, rare and voucher specimens are deposited in the Smithsonian National Collection (NMNH) and widely distributed to other institutions for DNA, revisions, and augmentation of existing collections. Surplus specimens are also made available to students to learn their identifications. Corrections to any of our determinations are always welcomed. Common species that are not in demand for surplus are usually destroyed and the pins recycled. Recent revisions to Lasioglossum, Ceratina, and to a much lesser extent Triepeolus and Epeolus and other small groups have rendered determinations prior to those revisions out of date for species involved in name changes and users should account for that during analyses. Current data (included information on specimen codes without identifications) are always available without charge directly from Sam Droege.----------While these data were collected using many different techniques, time periods, and regions they all follow the Wild Bee Data Standard (WBDS) core fields which uses controlled language adapted from Darwin Core (DwC). While the collection methods are unstandardized, the data presentation is.We highly recommend using the “Darwin Core Archive” package for this dataset. This can be downloaded from the GBIF annotated archive. The “Simple” download includes only specimen identification, date, and location. <b>To understand the full context of those observations—including collection methods and associated measurements—download the “Darwin Core Archive” files.</b>Files in the archive are linked by the <b>"eventID"</b> field. Each “eventID” represents a single collection event using one method. For example, a transect of bowl traps and a hand netting event on the same day and location will have separate “eventID’s”. All files include the date and location of the collection.<b>Occurrence file:</b> Provides the complete representation of identifications. This is the best place to explore how uncertain identifications and taxonomic changes affect the dataset. “scientificName” and “taxonRank” are treated conservatively; any specimen with an uncertain species-level identification is rolled up to genus for these fields“verbatimIdentification” shows the estimated identification or, in the case of taxonomic splits, the species group. These are often qualified in some way using terms such as “?”, “aff”, “group”, “near”, etc.“identificationRemarks” provides notes on any changes made.“basisOfRecord” uses controlled language from DwC to describe the nature of the record.<b>Event file:</b>Contains information on the collection method and any associated data recorded by the project (such as weather or flora).“samplingEffort” is the only exception to WBDS. This field cannot be interpreted for the entire dataset because these data are aggregated from multiple sources. Researchers may calculate values for specific collection events.<b>Extended Measurement or Fact file:</b> Adds details related to the controlled-language “samplingProtocol” field from the “Event” file, such as collection medium (e.g.: type of fluid used in traps).<b>Important Notes:</b>Taxonomic uncertainty and changes over time may affect interpretation. Review the Occurrence file for details. These data are aggregated from multiple projects, so some fields may vary in completeness. Absence of bee species from this dataset does not indicate absence of the species from the collecting location. Number of times a species is recorded in this dataset does not represent actual species abundance or common-ness but does offer an indication of fluctuations in communities.

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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
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 enseignants0,306
Score d'incertitude au seuil0,999

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 savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,083
Tête enseignante GPT0,217
Écart entre enseignants0,134 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

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

En bref

Citations15
Publié2017
Routes d'admission1
Résumé présentoui

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