This dataset contains vertebrate environmental DNA (eDNA) detections generated using the Mam12 metabarcoding marker from airborne samples collected with passive airDNA devices. Sampling was conducted across a series of experimental and field deployments to evaluate factors influencing DNA capture and detection. The dataset includes samples collected under natural environmental conditions as well as deployments at a zoological facility with known species composition, providing a semi-controlled context for interpreting airborne eDNA detections. Taxonomic assignments were generated from high-throughput sequencing data and are provided as a presence–absence matrix following application of a minimum detection threshold. Sequences assigned to Homo sapiens were removed prior to publication.
[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
","language":"eng","citation":{"text":"Hahn E, Tulloch R (2026). Sampling design influences on airborne eDNA detections - Mam12 marker. Commonwealth Scientific and Industrial Research Organisation. Occurrence dataset https://doi.org/10.15468/2ksb7e accessed via GBIF.org on 2026-10-14.","citationProvidedBySource":false},"contactsCitation":[{"key":6999494,"abbreviatedName":"Hahn E","firstName":"Erin","lastName":"Hahn","roles":["ORIGINATOR"],"userId":["http://orcid.org/0000-0001-6459-9508"]},{"key":6999495,"abbreviatedName":"Tulloch R","firstName":"Rachel","lastName":"Tulloch","roles":["ORIGINATOR"],"userId":["http://orcid.org/0000-0002-8358-3066"]}],"lockedForAutoUpdate":false,"createdBy":"64bd66c1-e7d3-48d0-9462-488729aed122","modifiedBy":"jwaller","created":"2026-05-04T06:45:14.229+00:00","modified":"2026-05-19T05:19:23.253+00:00","contacts":[{"key":6999494,"type":"ORIGINATOR","primary":true,"userId":["http://orcid.org/0000-0001-6459-9508"],"firstName":"Erin","lastName":"Hahn","position":["Research Scientist"],"email":["erin.hahn@csiro.au"],"phone":[],"homepage":[],"organization":"CSIRO","address":[],"createdBy":"crawler.gbif.org","modifiedBy":"crawler.gbif.org","created":"2026-05-04T06:46:14.918+00:00","modified":"2026-05-04T06:46:14.918+00:00"},{"key":6999495,"type":"ORIGINATOR","primary":false,"userId":["http://orcid.org/0000-0002-8358-3066"],"firstName":"Rachel","lastName":"Tulloch","position":[],"email":[],"phone":[],"homepage":[],"address":[],"createdBy":"crawler.gbif.org","modifiedBy":"crawler.gbif.org","created":"2026-05-04T06:46:14.921+00:00","modified":"2026-05-04T06:46:14.921+00:00"},{"key":6999496,"type":"ADMINISTRATIVE_POINT_OF_CONTACT","primary":true,"userId":["http://orcid.org/0000-0001-6459-9508"],"firstName":"Erin","lastName":"Hahn","position":["Research Scientist"],"email":["erin.hahn@csiro.au"],"phone":[],"homepage":[],"organization":"CSIRO","address":[],"createdBy":"crawler.gbif.org","modifiedBy":"crawler.gbif.org","created":"2026-05-04T06:46:14.922+00:00","modified":"2026-05-04T06:46:14.922+00:00"}],"endpoints":[{"key":1270557,"type":"BIOM_2_1","url":"https://hosted-datasets.gbif.org/metabarcoding/oceania/be2c7f3b-1bff-4d82-9c47-a31a648d2b23/1/data.biom.h5","createdBy":"64bd66c1-e7d3-48d0-9462-488729aed122","modifiedBy":"64bd66c1-e7d3-48d0-9462-488729aed122","created":"2026-05-04T06:45:14.493+00:00","modified":"2026-05-04T06:45:14.493+00:00","machineTags":[]},{"key":1270556,"type":"BIOM_1_0","url":"https://hosted-datasets.gbif.org/metabarcoding/oceania/be2c7f3b-1bff-4d82-9c47-a31a648d2b23/1/data.biom.json","createdBy":"64bd66c1-e7d3-48d0-9462-488729aed122","modifiedBy":"64bd66c1-e7d3-48d0-9462-488729aed122","created":"2026-05-04T06:45:14.432+00:00","modified":"2026-05-04T06:45:14.432+00:00","machineTags":[]},{"key":1270555,"type":"DWC_ARCHIVE","url":"https://hosted-datasets.gbif.org/metabarcoding/oceania/be2c7f3b-1bff-4d82-9c47-a31a648d2b23/1/archive.zip","createdBy":"64bd66c1-e7d3-48d0-9462-488729aed122","modifiedBy":"64bd66c1-e7d3-48d0-9462-488729aed122","created":"2026-05-04T06:45:14.351+00:00","modified":"2026-05-04T06:45:14.351+00:00","machineTags":[]}],"machineTags":[{"key":33142070,"namespace":"crawler.gbif.org","name":"crawl_attempt","value":"20","createdBy":"crawler.gbif.org","created":"2026-10-12T01:51:28.879+00:00"}],"tags":[],"identifiers":[],"comments":[{"key":47010,"content":"https://github.com/gbif/dataset-category-management/issues/9218","createdBy":"jwaller","modifiedBy":"jwaller","created":"2026-05-19T05:19:23.838+00:00","modified":"2026-05-19T05:19:23.838+00:00"}],"bibliographicCitations":[],"curatorialUnits":[],"taxonomicCoverages":[{"description":"This dataset includes mammalian taxa (class Mammalia) detected using the Mam12 metabarcoding marker targeting a region of the mitochondrial 12S rRNA gene. The marker is designed for mammal-specific detection and primarily recovers terrestrial mammal species, with taxonomic assignments resolved to species or genus level depending on reference database coverage and marker resolution. The dataset includes both wild and managed mammal species, reflecting sampling across natural and zoological environments.\n\nSequences assigned to Homo sapiens were removed prior to publication and are not included in the taxonomic coverage.","coverages":[]}],"geographicCoverages":[{"description":"Sampling was conducted in Canberra, Australian Capital Territory, Australia, across sites on the CSIRO Black Mountain campus and at a local zoological facility. The Black Mountain sites represent open, semi-urban bushland environments, while the zoological facility provides a managed setting with known vertebrate assemblages."}],"temporalCoverages":[{"@type":"range","start":"2024-03-24T00:00:00.000+00:00","end":"2025-10-10T00:00:00.000+00:00"}],"keywordCollections":[{"thesaurus":"N/A","keywords":["passive sampling","metabarcoding","airborne eDNA","environmental DNA","biodiversity monitoring","12S rRNA","Mam12","mammals","DNA","Canberra","zoo","MDT","Australia"]}],"project":{"title":"Airborne eDNA metabarcoding dataset (Mam12) from passive sampling devices in Canberra, Australia, evaluating sampling design effects","funding":"CSIRO Environomics Future Science Platform grant awarded to Erin Hahn (R-20078).","awards":[],"studyAreaDescription":"The study was conducted in the Canberra region, Australian Capital Territory, Australia. Sampling sites on the CSIRO Black Mountain campus are situated within a mosaic of native eucalypt woodland and semi-urban environments, characterised by open forest structure, managed landscapes, and proximity to research infrastructure. These sites support a diverse assemblage of native and introduced vertebrate species typical of southeastern Australian urban bushland.\n\nAdditional sampling was conducted at a zoological facility in Canberra, representing a managed environment with spatially structured enclosures and known vertebrate assemblages. This setting provides a semi-controlled context for evaluating airborne eDNA detection against expected species presence.","designDescription":"This study employed a series of experiments to evaluate how key sampling design parameters influence airborne eDNA detection using passive sampling devices. \n\nThe experimental design focused on three primary factors: filter size (2.5cm2 or 5 cm2), sampling duration (1 hr to 2 weeks), and post-collection storage (immediate processing versus 28 day storage). These variables were tested across replicate sampling events to assess their effects on DNA capture, detection sensitivity, and vertebrate community recovery.\n\nSampling was conducted in natural environments as well as at a zoological facility with known species composition, providing a semi-controlled framework for interpreting detection patterns and validating airborne eDNA signals.","relatedProjects":[],"abstract":"This dataset supports a study evaluating how sampling design influences airborne environmental DNA (eDNA) detection using a simple, low-cost passive sampling device. The study systematically assessed the effects of filter size, sampling duration, and post-collection storage on DNA capture, detection sensitivity, and vertebrate community recovery. Airborne samples were collected across field sites in Canberra, Australia, alongside deployments at a zoological facility with known species composition to provide a semi-controlled validation of detection outcomes. Vertebrate communities were characterised using the Mam12 metabarcoding marker targeting mitochondrial 12S rRNA."},"samplingDescription":{"studyExtent":"Sampling was conducted in the Canberra region, Australian Capital Territory, Australia, including sites on the CSIRO Black Mountain campus and a zoological facility. Sampling occurred over multiple deployment events spanning short-term (hours to days) and extended (up to several weeks) durations.\n\nAirborne eDNA samples were collected across replicated deployments designed to capture variation in temporal exposure, with sampling frequency structured around discrete experimental trials rather than continuous monitoring. These deployments encompassed a range of environmental conditions and repeated sampling events to assess temporal patterns in DNA detection.","sampling":"Airborne eDNA was collected using passive sampling devices designed to capture biological particles from ambient air onto fibrous filter material. Sampling was conducted across a series of controlled field experiments and zoo-based deployments to evaluate the effects of filter size, sampling duration, and post-collection storage on DNA capture and detection.\n\nSamplers were deployed in outdoor environments and at a zoological facility, with filters exposed for durations ranging from hours to several weeks. Replicated deployments were conducted across experimental conditions, and individual filters were treated as independent biological samples. Field blanks and negative controls were included to characterise background signal and potential contamination.\n\nDNA was extracted from filter material using protocols optimised for low-input environmental samples. Mammalian DNA was characterised using the Mam12 metabarcoding marker targeting mitochondrial 12S rRNA.\n\nHigh-throughput sequencing data were processed using a denoising pipeline to generate amplicon sequence variants (ASVs), followed by taxonomic assignment using reference database comparisons. Taxonomic assignments were curated using identity thresholds and biologically informed filtering criteria, and low-abundance detections were removed using a minimum read threshold.","methodSteps":[]},"countryCoverage":[],"collections":[],"dataDescriptions":[],"dataLanguage":"eng","pubDate":"2026-05-04T00:00:00.000+00:00","maintenanceUpdateFrequency":"UNKOWN","maintenanceDescription":"","license":"http://creativecommons.org/licenses/by-nc/4.0/legalcode","dwca":{"coreType":"http://rs.tdwg.org/dwc/terms/Occurrence","extensions":["http://rs.gbif.org/terms/1.0/DNADerivedData"],"modified":"2026-09-07T12:59:55.982+00:00"},"category":["eDNA"],"approximateCounts":{"occurrenceCount":1596}}