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Title: The Walking Dead: Status Report, Data Workflow and Best Practices of the oVert Thematic Collections Network
In 2017 NSF funded “oVert (openVertebrate): Open Exploration of Vertebrate Diversity in 3D,” which is the first Thematic Collections Network devoted entirely to vertebrate morphological specimens. The primary goal of oVert is to generate and serve high-resolution digital three-dimensional data for internal anatomy across vertebrate diversity. oVert will CT-scan >20,000 fluid-preserved specimens representing >80% of the living genera of vertebrates, providing broad coverage for exploration and research on all major groups of vertebrates. Contrast-enhanced scans will be generated to reveal soft tissues and organs for a majority of the living vertebrate families. This collection of digital imagery and three-dimensional volumes will be open for exploration, download, and use. These new media will provide unprecedented global access to valuable morphological data of specimens in US collections.oVert is developing best practices and guidelines for high-throughput CT-scanning, including efficient workflows, preferred resolutions, and archival formats that optimize the variety of downstream applications. Using the Integrated Digitized Biocollections (iDigBio) API, we have developed a workflow where people uploading media files to MorphoSource can search for and import metadata for specimens directly from iDigBio. Via a Rich Site Summary (RSS) feed from MorphoSource, Audubon Core data describing media files for a given scientific collection can be retrieved and integrated into institutional IPT and databases. Such data migration of large files requires attention to detail and the development of data workflows that ensure correct specimen mapping at all steps. The RSS feed from MorphoSource will also consolidate usage information for media files from specimens in each scientific collection for reporting. Additional goals of the project are to provide information vital to the creation of collection best practices for imaging permissions/copyright. A status report and update on best practices will be presented.  more » « less
Award ID(s):
1701714
PAR ID:
10066525
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
Biodiversity Information Science and Standards
Volume:
2
ISSN:
2535-0897
Page Range / eLocation ID:
e26078
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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For more information, please visit https://preston.guoda.bio or https://doi.org/10.5281/zenodo.1410543 .  <\/p>\n\nTo retrieve and verify the downloaded GBIF, iDigBio, BioCASe biodiversity dataset graph, use the preston[2] command-line tool to "clone" this dataset using:<\/p>\n\n$$ java -jar preston.jar ls --remote https://zenodo.org/record/3484205/files > /dev/null<\/p>\n\nOptionally, you can retrieve all associated data (~500GB) files using:<\/p>\n\n$$ java -jar preston.jar clone --remote https://zenodo.org/record/3484205/files,https://deeplinker.bio<\/p>\n\nPlease note https://deeplinker.bio is a Preston remote that provided access to GBIF, iDigBio, BioCASe data files at time of writing (13 Oct 2019). This remote can replaced with any other Preston remote(s) if needed. This may take a while depending on network speed and hardware constraints.<\/p>\n\nAfter that, verify the index of the archive by reproducing the following provenance log history:<\/p>\n\n$$ java -jar preston.jar history\n<0659a54f-b713-4f86-a917-5be166a14110> <http://purl.org/pav/hasVersion> <hash://sha256/c253a5311a20c2fc082bf9bac87a1ec5eb6e4e51ff936e7be20c29c8e77dee55> .\n<hash://sha256/b83cf099449dae3f633af618b19d05013953e7a1d7d97bc5ac01afd7bd9abe5d> <http://purl.org/pav/previousVersion> <hash://sha256/c253a5311a20c2fc082bf9bac87a1ec5eb6e4e51ff936e7be20c29c8e77dee55> .\n<hash://sha256/7efdea9263e57605d2d2d8b79ccd26a55743123d0c974140c72c8c1cfc679b93> <http://purl.org/pav/previousVersion> <hash://sha256/b83cf099449dae3f633af618b19d05013953e7a1d7d97bc5ac01afd7bd9abe5d> .\n<hash://sha256/05a877bdb8617144fe166a13bf51828d4ad1bc11631c360b9e648a9f7df2bbcd> <http://purl.org/pav/previousVersion> <hash://sha256/7efdea9263e57605d2d2d8b79ccd26a55743123d0c974140c72c8c1cfc679b93> 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<hash://sha256/ba02b235fd445904eae45b50bc637a195f25e9ca1637bcf26b2dc7f8698aa1fe> .\n<hash://sha256/fd27b0552c8a6800a8b3b1b822a2063a3215c1d9887badad09a62746b80846bc> <http://purl.org/pav/previousVersion> <hash://sha256/102cbfb1e800ef795ba1e1c51a34bff9b463b34c9443435069ddc76970c1e9c9> .\n<hash://sha256/20d36a6f879ba1dd797d4288a4f2e32719d3c674156194c2765a3ec6b43f5e17> <http://purl.org/pav/previousVersion> <hash://sha256/fd27b0552c8a6800a8b3b1b822a2063a3215c1d9887badad09a62746b80846bc> .\n<hash://sha256/7801a034fe3c7920e032d2338a690b700ca41a90a92d878fc3a67111cad16d29> <http://purl.org/pav/previousVersion> <hash://sha256/20d36a6f879ba1dd797d4288a4f2e32719d3c674156194c2765a3ec6b43f5e17> .\n<hash://sha256/c1b50502b1ca87046eeb7fe4863d0cf9319b6645ff2142db69f21b4cc23332b6> <http://purl.org/pav/previousVersion> <hash://sha256/7801a034fe3c7920e032d2338a690b700ca41a90a92d878fc3a67111cad16d29> .\n<hash://sha256/dc293e26154b89273791b9674d81110029f987c686b386184d0b66a5b95f9cda> 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<http://purl.org/pav/previousVersion> <hash://sha256/0e6b49850d96b4b58ea3759ecea45d273a48f074c4edaaec5e008791d7718781> .\n<hash://sha256/d99fa37caa268f8061980001146ed2a566e814d0740bb1974b76847512be95d3> <http://purl.org/pav/previousVersion> <hash://sha256/8c0752dc6425b9c716837c9713ce284158b4cff70a1e66be2beb0677018831f4> .\n<hash://sha256/af0bb2c89571a30815d4488e72dede84a2ffc102bb87961f06884509fd5d1dae> <http://purl.org/pav/previousVersion> <hash://sha256/d99fa37caa268f8061980001146ed2a566e814d0740bb1974b76847512be95d3> .\n<hash://sha256/261177a96185166f1c301beacf7350abff03d1b5710be6bfd8c4aff9caffef12> <http://purl.org/pav/previousVersion> <hash://sha256/af0bb2c89571a30815d4488e72dede84a2ffc102bb87961f06884509fd5d1dae> .\n<hash://sha256/5a39b7bbe9d1bc46ed2eb7bd76c490b5c85a09369a7cf7dc18fa04532679e9a7> <http://purl.org/pav/previousVersion> <hash://sha256/261177a96185166f1c301beacf7350abff03d1b5710be6bfd8c4aff9caffef12> .\n<hash://sha256/af8f9ed321d9c403617f54a96e3217adc918970fbbfe8b8715359669f4890b63> <http://purl.org/pav/previousVersion> <hash://sha256/5a39b7bbe9d1bc46ed2eb7bd76c490b5c85a09369a7cf7dc18fa04532679e9a7> .\n<hash://sha256/9a41d2583f0b8169ffdd44fb2d3a5e057eba4a10e5d9193d0c6e9dcf07c3119e> <http://purl.org/pav/previousVersion> <hash://sha256/af8f9ed321d9c403617f54a96e3217adc918970fbbfe8b8715359669f4890b63> .\n<hash://sha256/b9864a749112cad2fe19e62bf5d8bad580a7036d363d16d81d5c16be325fa0fd> <http://purl.org/pav/previousVersion> <hash://sha256/9a41d2583f0b8169ffdd44fb2d3a5e057eba4a10e5d9193d0c6e9dcf07c3119e> .\n<hash://sha256/09574d9c1330c2b1bec9b7bf3a55ab9273bedbfed78affd70a058a1a25e052d2> <http://purl.org/pav/previousVersion> <hash://sha256/b9864a749112cad2fe19e62bf5d8bad580a7036d363d16d81d5c16be325fa0fd> .\n<hash://sha256/668d5d6e9c9e7ddb410073ff75eb7f2935c60cc62944ba1fd96ca60feec4a103> <http://purl.org/pav/previousVersion> <hash://sha256/09574d9c1330c2b1bec9b7bf3a55ab9273bedbfed78affd70a058a1a25e052d2> .\n<hash://sha256/6387c9ebed9507a0fbba2d161e83c2da73e0d6fa6dd51fb19ac4a4ca75b839c7> <http://purl.org/pav/previousVersion> <hash://sha256/668d5d6e9c9e7ddb410073ff75eb7f2935c60cc62944ba1fd96ca60feec4a103> .\n<hash://sha256/d79fb9207329a2813b60713cf0968fda10721d576dcb7a36038faf18027eebc1> <http://purl.org/pav/previousVersion> <hash://sha256/6387c9ebed9507a0fbba2d161e83c2da73e0d6fa6dd51fb19ac4a4ca75b839c7> .<\/p>\n\nIf you retrieved data files, you can check the integrity of the extracted archive by confirming that each line produce by the command "preston verify" produces lines as shown below, with each line including "CONTENT_PRESENT_VALID_HASH". Depending on hardware capacity, this may take a while.<\/p>\n\n$$ java -jar preston.jar verify\nhash://sha256/3eff98d4b66368fd8d1f8fa1af6a057774d8a407a4771490beeb9e7add76f362    file:/home/preston/preston-archive/data/3e/ff/3eff98d4b66368fd8d1f8fa1af6a057774d8a407a4771490beeb9e7add76f362    OK    CONTENT_PRESENT_VALID_HASH    89931\nhash://sha256/184886cc6ae4490a49a70b6fd9a3e1dfafce433fc8e3d022c89e0b75ea3cda0b    file:/home/preston/preston-archive/data/18/48/184886cc6ae4490a49a70b6fd9a3e1dfafce433fc8e3d022c89e0b75ea3cda0b    OK    CONTENT_PRESENT_VALID_HASH    210344\nhash://sha256/1846abf2b9623697cf9b2212e019bc1f6dc4a20da51b3b5629bfb964dc808c02    file:/home/preston/preston-archive/data/18/46/1846abf2b9623697cf9b2212e019bc1f6dc4a20da51b3b5629bfb964dc808c02    OK    CONTENT_PRESENT_VALID_HASH    210344\nhash://sha256/554fdab07f2372bf363a1d7ef30fcf4c32e1da98b95a6342780c5eb35e0e7b38    file:/home/preston/preston-archive/data/55/4f/554fdab07f2372bf363a1d7ef30fcf4c32e1da98b95a6342780c5eb35e0e7b38    OK    CONTENT_PRESENT_VALID_HASH    202701<\/p>\n\nNote that a copy of the java program "preston", preston.jar, is included in this publication. The program runs on java 8+ virtual machine using "java -jar preston.jar", or in short "preston". <\/p>\n\nFiles in this data publication:<\/p>\n\n--- start of file descriptions ---<\/p>\n\n-- description of archive and its contents (this file) --\nREADME <\/p>\n\n-- executable java jar containing preston[2] v0.1.8. --\npreston.jar<\/p>\n\n-- individual provenance index files --\n049b0eb995b484c1e64184f582f51b3c608dcade70c4aefc2d53f903bae45098\n073315c32d7fd19868449bef1b11b15a86981dee53a31f7f5c882f7e3be413c3\n1172c6927e58113db668409d36b6a2cd84cf1a93e85b50d65d0bd008a5d8aaa4\n1707cb11cd9f696f1a86fd06742c1e14fad856747be88791f79f6fc7c979d5a6\n272ff1f12a573c667634d934d06b8bab0dd9cc6558795287ea99fab87620d005\n2a5de79372318317a382ea9a2cef069780b852b01210ef59e06b640a3539cb5a\n37b8b636e939072d0df7246bf077ead4279f9dd33929be322e631104b0641308\n3901b6af522d535fb164823704686e72f73b7798a2a64eaeb817134552c69e2c\n395ed0c95a624f8853116442690965acf69151acd6b33cc4fc710f567828f784\n460c14ed0129c1469c9149ed1030cdc133f110fb32048748323982cb88dd7eda\n477b6c4e9ecf5c8cd1b5502e0245c8622fa4b358f6710f97db39b473ed3d8235\n52b7274f5d795e4987964bb1a327dd6d6e4f65870e6a7aac172481d0ba3013d4\n54786bde04751bc31bf38c9e89c010cfee7de91760e1f5f31218ff11acff8a70\n6135b237a49b37b857801836494f2c36bcb1526bdacf001a9d11727fff6bf1f1\n69b4d5ca9643c14501a48a2b1eb24971a6da68da5033c304f7f00b94e16a11d9\n70066ea7c6a9dd6c2193cdc90b3b1ff7664af235ab245f6c03d1dd497b376570\n7084702f8025c99a6608a3355ccad5ff5e644ad544121f5d524961f7fe29ceb6\n7ebb008412baaac3afcc8af68b796bf4ca98f367cfd61a815eee82cdffeab196\n886edb8d22973bb04fe3b42d12106029a00b9deab3fb77d8787123327b77ae3b\n8a6d7e2ab026ff56380235fd9696f5e538e5e426b9374f2ddf3a705e186a7788\n95f88f27ed3448534206406738dfb5c5030fe3d6883c6dda261649357600883f\n9d12cae409e8ea0a546f7945cc629d622400000c3338e4710d9c6084fca9274d\n9fa9ea50db419c75251026708183add8973d9e68a79062f7808b110bef21006e\na24abbe089556f51fe9c2a51febdcaf893b419556312bcc63515713fc4a52922\na3b0477fe46f09b0f51c0f651691665c149bc341f5c19996675d849252e86453\na486474333f05884580dd10c54c95999063c7d1bc22e2cbe3bead604aca0a183\na524b9af3f172793998e1f9c5c0e9c949cc935624a17ed3364d32bc0391c9382\naa0e508aeb96f240b551fe92ff4224325ddcdf66f97eef95ac78aec62e53a169\nab34300942ec02cca7adf2744f6fbc1ab7587060bea09ef92b65b66f89d1ddcd\nb05d4a17d9a02180669d7eb017102dd1a739fb4615759cba94baf944b2aee29c\nb37c79f95c22fc4d657cc89dedd7a870923285da690ad4f5121962492484a142\nbe6d8cd5f1405a5e3e8aa492fb8dab41f6521608834d746e6cbc58d2f550f918\nc06f4413a97a5540fbdd40bdbfb194435c154533df7fe388dfdd378084e19c3d\nc585b8addfb7f7991ad74c0bae158aecefc6be5b11c28b020135e0f13040e187\nc66587e9730a6f68e961240038892df656ea99a1a25f4ff8ce556c07b09a4878\ncea1aab236de5de8da8954797d846c225bf2ad4f8fe3cd413e60ab029f9e1b3e\nda05cc27a47e755ebe912fafae434df5bd31a5d92658fe1943acc0a2023fab32\nfcb2ee4d630a9a1440417b0c46da5bc1578a388d6aedd12189a23283b60dde7d\nff32a7cbc99eaf6b67695fd94284a9b1b47a76497ef4d10ffc4dae199cc0d7c3<\/p>\n\n--- individual provenance logs --\n05a877bdb8617144fe166a13bf51828d4ad1bc11631c360b9e648a9f7df2bbcd\n09574d9c1330c2b1bec9b7bf3a55ab9273bedbfed78affd70a058a1a25e052d2\n0e6b49850d96b4b58ea3759ecea45d273a48f074c4edaaec5e008791d7718781\n102cbfb1e800ef795ba1e1c51a34bff9b463b34c9443435069ddc76970c1e9c9\n1d3817d9cb9fc7de7a3b7a4181daba8de1e52b348280154e8a163c7dd7ee1a7e\n20d36a6f879ba1dd797d4288a4f2e32719d3c674156194c2765a3ec6b43f5e17\n24b3f981c88c747f44ad3372095767cd15dcf81bd6cd2e54328a90a21409df43\n261177a96185166f1c301beacf7350abff03d1b5710be6bfd8c4aff9caffef12\n3dd674b7ad16391629948981a9cb6f6f86937d016861c3e59cd6e6bf3589f3b7\n3e7f19a8a78b51437240f49c499e6e7f89b8d58d4e3ceb9480d4356721645cee\n480868b59e95f3ce2324a7308dba65795e857d34cfbdcea7440a6f2620c6fbf6\n58daa9a51e5dc0911163aa1b98d68c801106734cd29eab9980814057351aeb70\n5a39b7bbe9d1bc46ed2eb7bd76c490b5c85a09369a7cf7dc18fa04532679e9a7\n5c469224fa0b6159bf33a59ddaa0246634e81bddd1728e7bf3540745055eccfa\n6387c9ebed9507a0fbba2d161e83c2da73e0d6fa6dd51fb19ac4a4ca75b839c7\n650a28fff3e03dadba70dc05a34c580c04203380187953fa4a2fb778353fee79\n668d5d6e9c9e7ddb410073ff75eb7f2935c60cc62944ba1fd96ca60feec4a103\n7801a034fe3c7920e032d2338a690b700ca41a90a92d878fc3a67111cad16d29\n7efdea9263e57605d2d2d8b79ccd26a55743123d0c974140c72c8c1cfc679b93\n8c0752dc6425b9c716837c9713ce284158b4cff70a1e66be2beb0677018831f4\n9a41d2583f0b8169ffdd44fb2d3a5e057eba4a10e5d9193d0c6e9dcf07c3119e\na0a18b0e32f933112084b846863438038f66f63eeeb22fa9d8d734e8a25bb208\na7a5e7c6a4b21bdf67f48d6bea85f438b8133f674027b04625dfadec3ff985f6\naf0bb2c89571a30815d4488e72dede84a2ffc102bb87961f06884509fd5d1dae\naf8f9ed321d9c403617f54a96e3217adc918970fbbfe8b8715359669f4890b63\nb5a30bbd8d51e9faf08d4ddebbc5bda9bab1b12545172f1524ac5ebdb0038bd4\nb83cf099449dae3f633af618b19d05013953e7a1d7d97bc5ac01afd7bd9abe5d\nb9864a749112cad2fe19e62bf5d8bad580a7036d363d16d81d5c16be325fa0fd\nba02b235fd445904eae45b50bc637a195f25e9ca1637bcf26b2dc7f8698aa1fe\nc1b50502b1ca87046eeb7fe4863d0cf9319b6645ff2142db69f21b4cc23332b6\nc253a5311a20c2fc082bf9bac87a1ec5eb6e4e51ff936e7be20c29c8e77dee55\nd79fb9207329a2813b60713cf0968fda10721d576dcb7a36038faf18027eebc1\nd99fa37caa268f8061980001146ed2a566e814d0740bb1974b76847512be95d3\ndc293e26154b89273791b9674d81110029f987c686b386184d0b66a5b95f9cda\ne4e5736e8bfec6c686eedde4c6dfa62845930d04e12dfa6f8a7d70abc3d087df\ne69d186ff3be11830c2da67d1bfeb896ec6398fc9d555fa26eaae1baa54450fb\neb2c716ec85158a0785216de1b09965173fc368d12f213c1bf747bbc2e49c6a6\nf3ed6aa1bd15ee43d05e138b935040aaa745f6ca8c7e8f2dfbb0a3ae0df66f36\nfd27b0552c8a6800a8b3b1b822a2063a3215c1d9887badad09a62746b80846bc<\/p>\n\n--- end of file descriptions ---<\/p>\n\nReferences <\/p>\n\n[1] Global Biodiversity Information Facility, Integrated Digitized Biocollections, Biological Collection Access Service (GBIF, iDigBio, BioCASe, https://gbif.org,https://idigbio.org,http://biocase.org) accessed from 2018-09-03 to 2019-10-02 with provenance hash://sha256/6387c9ebed9507a0fbba2d161e83c2da73e0d6fa6dd51fb19ac4a4ca75b839c7.\n[2] https://preston.guoda.bio, https://doi.org/10.5281/zenodo.1410543 . <\/p>\n\nThis work is funded in part by grant NSF OAC 1839201 from the National Science Foundation<\/p>"]} 
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  4. Vertebrate fossils have been known from Lower Siwalik Miocene deposits surrounding the town of Ramnagar (Udhampur District, Jammu & Kashmir) in northwest India since Barnum Brown’s American Museum of Natural History (AMNH) expedition in 1922. These fossils included dentognathic specimens of Sivapithecus and other Chinji Formation-aged mammals. Paleontological fieldwork has continued sporadically in the Ramnagar region ever since, and in that time, a large number of vertebrate fossils have been recovered by many different researchers and institutions, including the recently discovered primates Kapi and Ramadapis. Ramnagar fossils are currently housed in several institutions across India and the United States, thereby making it challenging to comprehensively study the entire collection. Consequently, a full understanding of important questions related to the taxonomy, paleobiology, paleoecology, and biochronology of the Ramnagar fauna cannot be readily obtained. Moreover, without answers to these questions, correlations and comparisons cannot be accurately made to other similar aged fossil localities in the Siwaliks (i.e., Potwar Plateau, Pakistan) and elsewhere in Eurasia. Therefore, the goal of this collaborative project is to establish and grow a 3D digital repository of all fossil specimens from the Ramnagar region for continued comprehensive study. We employ µCT, surface scanning, and photogrammetry to virtually bring together specimens from the AMNH, Panjab University, Wadia Institute of Himalayan Geology, and Yale Peabody Museum. Thus far, >100 specimens have been digitized and made openly accessible on the MorphoSource web platform. Here we highlight some of the best-preserved specimens, including recovered primates and micromammals, and discuss their scientific importance. 
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  5. Biodiversity datasets, or descriptions of biodiversity datasets, are increasingly available through open digital data infrastructures such as Global Biodiversity Information Facility (GBIF, https://gbif.org), Integrated Digitized Biocollections (iDigBio, https://www.idigbio.org) and the Biological Collection Access Service (BioCASE, http://www.biocase.org). </p> However, little is known about how these networks, and the data accessed through them, change over time. This dataset provide snapshots of the biodiversity dataset graphs as tracked by Preston (https://github.com/bio-guoda/preston , https://doi.org/10.5281/zenodo.1410543 ).</p> The rdf/nquad and tsv snapshots were generated using the respective commands:</p> preston ls | bzip2 > preston-ls.nq.bz2</p> and</p> preston ls --log tsv | bzip2 > preston-ls.tsv.bz2</p> For convenience, the first 100 uncompressed entries of both files are included, as well as the sha256 hashes of the content of the files.</p> 
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