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On September 14, 2026, 12:25:19 PM UTC, default:
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Changed the version of Data from: Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills to 22 (previously 2)
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Uploaded a new file to resource acc_data_migration_6291.csv in Data from: Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills
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| f | 1 | { | f | 1 | { |
| 2 | "author": null, | 2 | "author": null, | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "code": "7b.b.yd", | 4 | "code": "7b.b.yd", | ||
| 5 | "contributor": "NIOZ Royal Netherlands Institute for Sea Research", | 5 | "contributor": "NIOZ Royal Netherlands Institute for Sea Research", | ||
| 6 | "creator_user_id": "20ff4b59-2dcf-4b58-8a9a-8805da8c9f5c", | 6 | "creator_user_id": "20ff4b59-2dcf-4b58-8a9a-8805da8c9f5c", | ||
| 7 | "creators": | 7 | "creators": | ||
| 8 | me\":\"Lok\",\"orcid\":\"0000-0003-3753-8501\",\"affiliation\":\"Royal | 8 | me\":\"Lok\",\"orcid\":\"0000-0003-3753-8501\",\"affiliation\":\"Royal | ||
| 9 | Netherlands Institute for Sea | 9 | Netherlands Institute for Sea | ||
| 10 | pondingauthor\":true,\"contactemailaddress\":\"tamar.lok@nioz.nl\"}]", | 10 | pondingauthor\":true,\"contactemailaddress\":\"tamar.lok@nioz.nl\"}]", | ||
| 11 | "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.yd", | 11 | "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.yd", | ||
| 12 | "deposit_date": "2023-01-12", | 12 | "deposit_date": "2023-01-12", | ||
| 13 | "depositor": "Tamar Lok", | 13 | "depositor": "Tamar Lok", | ||
| 14 | "distribution_date": "2023-01-12", | 14 | "distribution_date": "2023-01-12", | ||
| 15 | "distributor": "Research Data Management(NIOZ Royal Netherlands | 15 | "distributor": "Research Data Management(NIOZ Royal Netherlands | ||
| 16 | Institute for Sea Research)", | 16 | Institute for Sea Research)", | ||
| 17 | "doi_date_published": "2023-01-30", | 17 | "doi_date_published": "2023-01-30", | ||
| 18 | "funding_references": | 18 | "funding_references": | ||
| 19 | \":\"WF209925\",\"awardtitle\":\"Metawad\",\"formatted\":\"Waddenfonds | 19 | \":\"WF209925\",\"awardtitle\":\"Metawad\",\"formatted\":\"Waddenfonds | ||
| 20 | - WF209925 - Metawad\"},{\"name\":\"Netherlands Organisation for | 20 | - WF209925 - Metawad\"},{\"name\":\"Netherlands Organisation for | ||
| 21 | Scientific Research | 21 | Scientific Research | ||
| 22 | (NWO)\",\"awardnumber\":\"016.Veni.192.245\",\"awardtitle\":\"Veni | 22 | (NWO)\",\"awardnumber\":\"016.Veni.192.245\",\"awardtitle\":\"Veni | ||
| 23 | grant Tamar Lok\",\"formatted\":\"Netherlands Organisation for | 23 | grant Tamar Lok\",\"formatted\":\"Netherlands Organisation for | ||
| 24 | Scientific Research (NWO) - 016.Veni.192.245 - Veni grant Tamar | 24 | Scientific Research (NWO) - 016.Veni.192.245 - Veni grant Tamar | ||
| 25 | Lok\"},{\"name\":\"Netherlands Organisation for Scientific Research | 25 | Lok\"},{\"name\":\"Netherlands Organisation for Scientific Research | ||
| 26 | (NWO)\",\"awardnumber\":\"Spinoza Premium | 26 | (NWO)\",\"awardnumber\":\"Spinoza Premium | ||
| 27 | 2014\",\"awardtitle\":\"Spinoza Premium Theunis Piersma\"}]", | 27 | 2014\",\"awardtitle\":\"Spinoza Premium Theunis Piersma\"}]", | ||
| 28 | "groups": [], | 28 | "groups": [], | ||
| 29 | "id": "2e941b9b-8483-4ee3-ba10-0cdc987c0f61", | 29 | "id": "2e941b9b-8483-4ee3-ba10-0cdc987c0f61", | ||
| 30 | "isopen": true, | 30 | "isopen": true, | ||
| 31 | "license_id": "CC-BY-4.0", | 31 | "license_id": "CC-BY-4.0", | ||
| 32 | "license_title": "Creative Commons Attribution 4.0", | 32 | "license_title": "Creative Commons Attribution 4.0", | ||
| 33 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | 33 | "license_url": "https://creativecommons.org/licenses/by/4.0/", | ||
| 34 | "maintainer": null, | 34 | "maintainer": null, | ||
| 35 | "maintainer_email": null, | 35 | "maintainer_email": null, | ||
| 36 | "metadata_created": "2024-10-22T11:50:05.438553", | 36 | "metadata_created": "2024-10-22T11:50:05.438553", | ||
| n | 37 | "metadata_modified": "2024-10-22T20:53:34.932462", | n | 37 | "metadata_modified": "2026-09-14T12:25:19.022134", |
| 38 | "name": "7bbyd", | 38 | "name": "7bbyd", | ||
| 39 | "notes": "Background\nQuantifying foraging success in space and time | 39 | "notes": "Background\nQuantifying foraging success in space and time | ||
| 40 | and among individuals is essential for answering many\necological | 40 | and among individuals is essential for answering many\necological | ||
| 41 | questions and may guide conservation efforts. However, collecting this | 41 | questions and may guide conservation efforts. However, collecting this | ||
| 42 | information is challenging for\nspecies that forage on mobile prey and | 42 | information is challenging for\nspecies that forage on mobile prey and | ||
| 43 | are difficult to observe visually, for example, because they forage | 43 | are difficult to observe visually, for example, because they forage | ||
| 44 | in\ninaccessible areas or at night. In such cases, the use of tracking | 44 | in\ninaccessible areas or at night. In such cases, the use of tracking | ||
| 45 | devices that simultaneously collect location and\nacceleration data | 45 | devices that simultaneously collect location and\nacceleration data | ||
| 46 | may provide a solution if foraging success can be extracted | 46 | may provide a solution if foraging success can be extracted | ||
| 47 | successfully. The aim of this study\nwas to assess how well searching | 47 | successfully. The aim of this study\nwas to assess how well searching | ||
| 48 | for and ingesting prey, among other behaviours, could be distinguished | 48 | for and ingesting prey, among other behaviours, could be distinguished | ||
| 49 | from\n20 Hz acceleration data collected by GPS/ACC-trackers mounted on | 49 | from\n20 Hz acceleration data collected by GPS/ACC-trackers mounted on | ||
| 50 | the back of Eurasian spoonbills Platalea\nleucorodia. Upon capturing a | 50 | the back of Eurasian spoonbills Platalea\nleucorodia. Upon capturing a | ||
| 51 | prey, spoonbills make a distinct movement with their head and back to | 51 | prey, spoonbills make a distinct movement with their head and back to | ||
| 52 | throw the\nprey from the tip of the bill into the | 52 | throw the\nprey from the tip of the bill into the | ||
| 53 | throat.\n\nMethods\nWe compared the behavioural classification | 53 | throat.\n\nMethods\nWe compared the behavioural classification | ||
| 54 | performance of random forest models that were trained and tested\non | 54 | performance of random forest models that were trained and tested\non | ||
| 55 | video-annotated acceleration data segments of different (fixed or | 55 | video-annotated acceleration data segments of different (fixed or | ||
| 56 | flexible) lengths. The best-performing\nmodel was then applied to 4 | 56 | flexible) lengths. The best-performing\nmodel was then applied to 4 | ||
| 57 | years of data of spoonbills foraging in the Wadden Sea during the | 57 | years of data of spoonbills foraging in the Wadden Sea during the | ||
| 58 | breeding\nseason, to explore seasonal and annual variation in prey | 58 | breeding\nseason, to explore seasonal and annual variation in prey | ||
| 59 | ingestion rates.\n\nResults\nHighest classification accuracies (as | 59 | ingestion rates.\n\nResults\nHighest classification accuracies (as | ||
| 60 | indicated by the F-measure, a balanced measure of precision | 60 | indicated by the F-measure, a balanced measure of precision | ||
| 61 | and\nsensitivity) of foraging behaviours were achieved by analysing | 61 | and\nsensitivity) of foraging behaviours were achieved by analysing | ||
| 62 | short fixed-length segments (0.4-0.8 s) or\n'flexibly-cut' segments. | 62 | short fixed-length segments (0.4-0.8 s) or\n'flexibly-cut' segments. | ||
| 63 | The F-measure was very high (> 0.90) for searching, standing, sitting | 63 | The F-measure was very high (> 0.90) for searching, standing, sitting | ||
| 64 | and flying\n(distinguishing active and passive flight), 0.73 for | 64 | and flying\n(distinguishing active and passive flight), 0.73 for | ||
| 65 | ingesting prey and 0.65 for walking. False positive and\nnegative prey | 65 | ingesting prey and 0.65 for walking. False positive and\nnegative prey | ||
| 66 | ingestions were equally likely and most often confused with searching, | 66 | ingestions were equally likely and most often confused with searching, | ||
| 67 | resulting in a close match\nbetween the predicted and observed prey | 67 | resulting in a close match\nbetween the predicted and observed prey | ||
| 68 | ingestion rates. Application of the best-performing model | 68 | ingestion rates. Application of the best-performing model | ||
| 69 | revealed\nstrong seasonal patterns in prey ingestion rates in the | 69 | revealed\nstrong seasonal patterns in prey ingestion rates in the | ||
| 70 | Wadden Sea that varied between years.\n\nConclusions\nWe show that | 70 | Wadden Sea that varied between years.\n\nConclusions\nWe show that | ||
| 71 | prey ingestion rates of Eurasian spoonbills can be fairly accurately | 71 | prey ingestion rates of Eurasian spoonbills can be fairly accurately | ||
| 72 | estimated from acceleration\ndata. These results are promising for the | 72 | estimated from acceleration\ndata. These results are promising for the | ||
| 73 | use of spoonbills equipped with GPS/ACC-trackers as monitors | 73 | use of spoonbills equipped with GPS/ACC-trackers as monitors | ||
| 74 | of\nspatial and temporal variation in the availability of small fish | 74 | of\nspatial and temporal variation in the availability of small fish | ||
| 75 | and shrimp, which is key to understand their\nforaging and migratory | 75 | and shrimp, which is key to understand their\nforaging and migratory | ||
| 76 | movements of spoonbills and provides information on the quality of | 76 | movements of spoonbills and provides information on the quality of | ||
| 77 | (coastal) wetlands.", | 77 | (coastal) wetlands.", | ||
| 78 | "num_resources": 16, | 78 | "num_resources": 16, | ||
| 79 | "num_tags": 4, | 79 | "num_tags": 4, | ||
| 80 | "organization": { | 80 | "organization": { | ||
| 81 | "approval_status": "approved", | 81 | "approval_status": "approved", | ||
| 82 | "created": "2024-10-22T06:06:56.074257", | 82 | "created": "2024-10-22T06:06:56.074257", | ||
| 83 | "description": "", | 83 | "description": "", | ||
| 84 | "id": "bed2a893-3895-450b-bf4b-c74318003b1b", | 84 | "id": "bed2a893-3895-450b-bf4b-c74318003b1b", | ||
| n | 85 | "image_url": | n | 85 | "image_url": "https://doi.nioz.nl/NIOZ.svg", |
| 86 | z.nl/application/files/1216/8924/5333/NIOZ-logo_witte_randi-2023.svg", | ||||
| 87 | "is_organization": true, | 86 | "is_organization": true, | ||
| 88 | "name": "nioz", | 87 | "name": "nioz", | ||
| 89 | "state": "active", | 88 | "state": "active", | ||
| 90 | "title": "Royal Netherlands Institute for Sea Research", | 89 | "title": "Royal Netherlands Institute for Sea Research", | ||
| 91 | "type": "organization" | 90 | "type": "organization" | ||
| 92 | }, | 91 | }, | ||
| 93 | "owner_org": "bed2a893-3895-450b-bf4b-c74318003b1b", | 92 | "owner_org": "bed2a893-3895-450b-bf4b-c74318003b1b", | ||
| 94 | "private": false, | 93 | "private": false, | ||
| 95 | "production_date": "2023-01-30", | 94 | "production_date": "2023-01-30", | ||
| 96 | "relationships_as_object": [], | 95 | "relationships_as_object": [], | ||
| 97 | "relationships_as_subject": [], | 96 | "relationships_as_subject": [], | ||
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| 485 | accelerometers in Eurasian spoonbills", | 484 | accelerometers in Eurasian spoonbills", | ||
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