Ocean Biodiversity Information System
Spatial Ecological Analysis of Megavertebrate Animal Populations
Spatial Ecological Analysis of Megavertebrate Animal Populations
Observatoire Pelagis - Reseau National Echouage (French stranding network) strandings 1934-2020
Observatoire PELAGIS - Reseau National Echouage (French stranding network) - UAR 3462 University La Rochelle - CNRS
Summary of download requests
| Number of users / requests | Users | Requests |
|---|---|---|
| 6643 | 33060 |
| Types requested | All | Partial | All or partial?: When all records of this dataset were downloaded, it is flagged as "All". Otherwise, it is flagged as "Partial". A partial download happens when a user specifies particular species / areas / dates of interest. |
|---|---|---|---|
| 8389 | 24671 |
| Years | 2026 | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 474 | 1052 | 672 | 566 | 4279 | 4962 | 3006 | 2112 | 2173 | 1663 | 1733 | 1190 | 1049 | 1835 | 2096 | 2376 | 1300 | 522 |
| Formats requested | Types requested | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Download request details
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| No. | Date requested | Types requested | Format | #records | Along with... | Species included | Request ID |
|---|---|---|---|---|---|---|---|
| 5051 | 2022-06-15 | swot_hs | shapefile | 1 | List of datasets | List of species | 62a9f88b7a09f_20220615_112311 |
| 5052 | 2022-06-15 | swot_mtdna_ndna | shapefile | 1 | List of datasets | List of species | 62a9f88b7a09f_20220615_112202 |
| 5053 | 2022-06-15 | swot_nesting_counts | csv | 1 | List of datasets | List of species | 62a9efbd864bb_20220615_104706 |
| 5054 | 2022-06-15 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a9f88b7a09f_20220615_112032 |
| 5055 | 2022-06-15 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a9efbd864bb_20220615_104630 |
| 5056 | 2022-06-15 | swot_rmu | shapefile | 1 | List of datasets | List of species | 62a9efbd864bb_20220615_104633 |
| 5057 | 2022-06-15 | swot_site_locations | csv | 1 | List of datasets | List of species | 62a9efbd864bb_20220615_104656 |
| 5058 | 2022-06-14 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a856a47068e_20220614_054342 |
| 5059 | 2022-06-14 | swot_distribution | csv | 1 | List of datasets | List of species | 62a856a47068e_20220614_054349 |
| 5060 | 2022-06-14 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a856a47068e_20220614_054346 |
| 5061 | 2022-06-13 | whole_dataset | csv | 1 | List of datasets | List of species | 62a766798860c_20220613_124159 |
| 5062 | 2022-06-13 | whole_dataset | csv | 1 | List of datasets | List of species | 62a74985b64be_20220613_103955 |
| 5063 | 2022-06-13 | whole_dataset | gdb | 1 | List of datasets | List of species | 62a74985b64be_20220613_104002 |
| 5064 | 2022-06-13 | dist_sp | csv | 1 | List of datasets | List of species | 62a77d27c337c_20220613_141341 |
| 5065 | 2022-06-13 | dist_sp | csv | 1 | List of datasets | List of species | 62a7879e25dd6_20220613_145807 |
| 5066 | 2022-06-13 | dist_sp | csv | 1 | List of datasets | List of species | 62a772819ab7d_20220613_132703 |
| 5067 | 2022-06-13 | dist_sp | csv | 1 | List of datasets | List of species | 62a7a88e60f42_20220613_171740 |
| 5068 | 2022-06-13 | dist_sp | csv | 1 | List of datasets | List of species | 62a7764b716a6_20220613_134610 |
| 5069 | 2022-06-12 | swot_site_locations | csv | 1 | List of datasets | List of species | 62a5c7ebce7d1_20220612_072054 |
| 5070 | 2022-06-12 | swot_site_locations | shapefile | 1 | List of datasets | List of species | 62a5f741ddf8e_20220612_102952 |
| 5071 | 2022-06-12 | swot_site_locations | shapefile | 1 | List of datasets | List of species | 62a5c7ebce7d1_20220612_071709 |
| 5072 | 2022-06-12 | swot_site_locations | csv | 1 | List of datasets | List of species | 62a5f741ddf8e_20220612_103026 |
| 5073 | 2022-06-12 | swot_site_locations | csv | 1 | List of datasets | List of species | 62a5c7ebce7d1_20220612_071843 |
| 5074 | 2022-06-12 | swot_site_locations | shapefile | 1 | List of datasets | List of species | 62a5c3912312f_20220612_065058 |
| 5075 | 2022-06-12 | swot_hs | shapefile | 1 | List of datasets | List of species | 62a583de05e71_20220612_021821 |
| 5076 | 2022-06-12 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a57a568c1b8_20220612_015333 |
| 5077 | 2022-06-12 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a583de05e71_20220612_021703 |
| 5078 | 2022-06-12 | dist_sp | csv | 1 | List of datasets | List of species | 62a57a568c1b8_20220612_014451 |
| 5079 | 2022-06-12 | dist_sp | csv | 1 | List of datasets | List of species | 62a583de05e71_20220612_021913 |
| 5080 | 2022-06-12 | swot_site_locations | csv | 1 | List of datasets | List of species | 62a583de05e71_20220612_021643 |
| 5081 | 2022-06-12 | swot_distribution | csv | 1 | List of datasets | List of species | 62a583de05e71_20220612_021707 |
| 5082 | 2022-06-12 | swot_distribution | csv | 1 | List of datasets | List of species | 62a57a568c1b8_20220612_015353 |
| 5083 | 2022-06-12 | swot_rmu | csv | 1 | List of datasets | List of species | 62a583de05e71_20220612_021744 |
| 5084 | 2022-06-12 | swot_rmu | shapefile | 1 | List of datasets | List of species | 62a583de05e71_20220612_021740 |
| 5085 | 2022-06-12 | swot_mtdna_ndna | shapefile | 1 | List of datasets | List of species | 62a583de05e71_20220612_021813 |
| 5086 | 2022-06-12 | swot_nesting_counts | csv | 1 | List of datasets | List of species | 62a583de05e71_20220612_021653 |
| 5087 | 2022-06-12 | dist_sp | csv | 1 | List of datasets | List of species | 62a57a568c1b8_20220612_014449 |
| 5088 | 2022-06-10 | whole_species | csv | 1 | List of datasets | List of species | 62a376dccd1cd_20220610_125854 |
| 5089 | 2022-06-10 | whole_species | csv | 1 | List of datasets | List of species | 62a376dccd1cd_20220610_130009 |
| 5090 | 2022-06-10 | swot_site_locations | shapefile | 1 | List of datasets | List of species | 62a2fe67197db_20220610_042633 |
| 5091 | 2022-06-10 | swot_hs | shapefile | 1 | List of datasets | List of species | 62a2fe67197db_20220610_042357 |
| 5092 | 2022-06-10 | swot_rmu | shapefile | 1 | List of datasets | List of species | 62a2fe67197db_20220610_042306 |
| 5093 | 2022-06-10 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a2fe67197db_20220610_042123 |
| 5094 | 2022-06-10 | dist_taxa | csv | 1 | List of datasets | List of species | 62a3b31f2677d_20220610_171305 |
| 5095 | 2022-06-10 | dist_sp | csv | 1 | List of datasets | List of species | 62a376ecd8e47_20220610_125933 |
| 5096 | 2022-06-10 | dist_sp | kml | 1 | List of datasets | List of species | 62a376ecd8e47_20220610_130011 |
| 5097 | 2022-06-09 | swot_mtdna_ndna | shapefile | 1 | List of datasets | List of species | 62a128ea3dfb5_20220609_091252 |
| 5098 | 2022-06-09 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a128ea3dfb5_20220609_091157 |
| 5099 | 2022-06-09 | swot_distribution | shapefile | 1 | List of datasets | List of species | 62a128ea3dfb5_20220609_091312 |
| 5100 | 2022-06-09 | swot_mtdna_ndna | csv | 1 | List of datasets | List of species | 62a128ea3dfb5_20220609_091307 |
List of datasets
Notes
- The summary of the download requests may not be accurate as the download functionality of the OBIS-SEAMAP mapping tools have been advancing and it is hard to put together old download requests with newer ones.
- The number of users may be overcounted or undercounted as we didn't collect the information of user identification in early years of OBIS-SEAMAP and the IP addresses are used as a proxy to user identity for old requests.
- Other issues that may result in inaccuracy is:
- a user may try downloading data with slightly different criteria for the same project/purpose.
- a user may download data a couple of times over time to include the latest observations.
- a user may download data with more coarse criteria and then filter the downloaded data more for specific needs (e.g. download global sightings of a species and then filter them with a study area).
- a user may download data just for a test purpose.
- For KML format, a user may visualize the data using Google Earth but did not use them for his/her scientific work.
- The data type of "diversity indexes" was added in July 2016.
- Although we have started collecting details of a request (i.e. user's name, prospectus) since Nov 2013, we do not disclose the details unless the user gives us consent. If you want to know more details on the request, please contact us with the Request ID ready. We will try connecting you with the user in question.