Flanders Marine Institute (VLIZ) - GeoServer Web Map Tile Service A compliant implementation of WMTS service. OGC WMTS 1.0.0 NONE Please contact VLIZ if you want to use a layer Flanders Marine Institute (VLIZ) EMODnet Biology team Oostend Belgium bio@emodnet.eu KVP KVP KVP BODC_GEBCO2014 -180.0 -90.0 180.0 90.0 BODC_GEBCO2014 image/png image/jpeg EPSG:4326 EPSG:900913 NASA_blue_marble_07 NASA_blue_marble_07 image/png image/jpeg EPSG:3031 ScheldeMonitorScheldeOnTheFly -180.0 -90.0 180.0 90.0 ScheldeMonitorScheldeOnTheFly image/png image/jpeg EPSG:4326 EPSG:900913 Summary presence/absence maps of macro-endobenthos in European Seas, based on the EMODNET Biology database The large databases of EMODNET Biology only store confirmed presences of taxon. However, when mapping taxon distribution, it is also important where the taxon did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences. There is important meta-information at two different levels: the level of the data set, and the level of the taxon. Datasets can contain implicit information on absences when they have uniformly searched for the same taxon over a number of sample locations. Normally, if the taxon would have been present there, it would have been recorded. Other datasets, however, are not informative at all about absences. Typical examples are museum collections. The fact that a specimen is found at a particular place confirms that it lived there, but does not give information on any other taxon being present or absent in the same spot. A difficulty is that some datasets have searched for a restricted part of the total community, e.g. only sampled shellfish but no worms. In this case, absence of a shellfish taxon is relevant, but absence of a worm is not. The dataset can only be used to infer absence for the taxa it has targeted. Here we implicitly assume that a dataset inventorying the endomacrobenthos, is targeting all taxa belonging to this functional group. Usually, the distinction can be made on the basis of the metadata. It is also helpful to plot the total number of taxa versus the total number of samples. Incomplete datasets have far less taxa than expected for their size, compared to 'complete' datasets. At the taxon level, taxonomic registers such as WoRMS (WoRMS Editorial Board, 2021) give information on the functional group the taxon belongs to. This information is present for many taxa, but it is most likely incomplete. The size of the register excludes any easy test of completeness of the traits. However, even if incomplete, the register trait data can be used to select the most useful datasets. If one were to use an incomplete register directly to restrict the taxa to be used in mapping, that would cause loss of interesting information. Therefore the present workflow contains additional steps using the identified promising datasets rather than the taxon list based on the register’s traits. -10.1070003509521 51.4351997375488 16.8089694976807 58.0088195800781 benthos_europe image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 0 3 4 EPSG:4326:3 1 1 7 8 EPSG:4326:4 2 3 15 17 EPSG:4326:5 5 6 30 34 EPSG:4326:6 11 13 60 69 EPSG:4326:7 22 27 120 139 EPSG:4326:8 45 54 241 279 EPSG:4326:9 90 109 483 559 EPSG:4326:10 181 219 966 1119 EPSG:4326:11 363 438 1933 2239 EPSG:4326:12 727 877 3866 4478 EPSG:4326:13 1455 1755 7732 8956 EPSG:4326:14 2911 3510 15464 17913 EPSG:4326:15 5823 7020 30928 35827 EPSG:4326:16 11647 14041 61856 71655 EPSG:4326:17 23295 28082 123712 143311 EPSG:4326:18 46590 56164 247424 286623 EPSG:4326:19 93181 112328 494849 573247 EPSG:4326:20 186362 224656 989698 1146495 EPSG:4326:21 372724 449312 1979396 2292990 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 1 1 1 2 EPSG:900913:3 2 2 3 4 EPSG:900913:4 4 5 7 8 EPSG:900913:5 9 10 15 17 EPSG:900913:6 19 21 30 34 EPSG:900913:7 38 42 60 69 EPSG:900913:8 77 85 120 139 EPSG:900913:9 154 170 241 279 EPSG:900913:10 308 340 483 559 EPSG:900913:11 616 681 966 1119 EPSG:900913:12 1233 1363 1933 2239 EPSG:900913:13 2466 2726 3866 4478 EPSG:900913:14 4933 5453 7732 8956 EPSG:900913:15 9867 10906 15464 17913 EPSG:900913:16 19735 21813 30928 35827 EPSG:900913:17 39471 43626 61856 71655 EPSG:900913:18 78943 87253 123712 143311 EPSG:900913:19 157886 174507 247424 286623 EPSG:900913:20 315772 349015 494849 573247 EPSG:900913:21 631544 698031 989698 1146495 EPSG:900913:22 1263088 1396063 1979396 2292990 EPSG:900913:23 2526176 2792127 3958793 4585981 EPSG:900913:24 5052352 5584254 7917587 9171962 EPSG:900913:25 10104705 11168508 15835175 18343925 EPSG:900913:26 20209410 22337017 31670350 36687851 EPSG:900913:27 40418820 44674034 63340701 73375702 EPSG:900913:28 80837640 89348068 126681402 146751404 EPSG:900913:29 161675280 178696136 253362804 293502808 EPSG:900913:30 323350560 357392272 506725609 587005616 Harbour Seal Distribution Polygons These grid data were derived from National Parks and Wildlife Service cetacean surveys within the Irish MSFD area and the EEA-10km GRID. The grid shows the current distribution of Harbour seal (Phoca vitulina) in Irish coastal and marine waters. The data were collected for the purposes of 2019 reporting under Article 17 of the EU Habitats Directive. -10.6407794952393 51.3422927856445 -5.83656454086304 55.4315452575684 harbour_seal image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 0 0 1 1 EPSG:4326:2 0 0 3 3 EPSG:4326:3 1 1 7 7 EPSG:4326:4 3 3 15 15 EPSG:4326:5 6 6 30 30 EPSG:4326:6 12 13 60 61 EPSG:4326:7 24 27 120 123 EPSG:4326:8 49 54 240 247 EPSG:4326:9 98 109 481 495 EPSG:4326:10 196 219 963 990 EPSG:4326:11 393 439 1926 1981 EPSG:4326:12 786 879 3853 3963 EPSG:4326:13 1573 1759 7707 7926 EPSG:4326:14 3146 3518 15415 15852 EPSG:4326:15 6292 7037 30830 31705 EPSG:4326:16 12585 14074 61661 63410 EPSG:4326:17 25171 28149 123323 126821 EPSG:4326:18 50343 56299 246647 253643 EPSG:4326:19 100687 112598 493294 507287 EPSG:4326:20 201375 225197 986588 1014575 EPSG:4326:21 402751 450394 1973177 2029151 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 0 EPSG:900913:2 1 1 1 1 EPSG:900913:3 2 2 3 3 EPSG:900913:4 5 5 7 7 EPSG:900913:5 10 10 15 15 EPSG:900913:6 20 21 30 30 EPSG:900913:7 40 42 60 61 EPSG:900913:8 80 85 120 123 EPSG:900913:9 160 170 240 247 EPSG:900913:10 321 341 481 495 EPSG:900913:11 643 682 963 990 EPSG:900913:12 1286 1365 1926 1981 EPSG:900913:13 2573 2730 3853 3963 EPSG:900913:14 5147 5460 7707 7926 EPSG:900913:15 10295 10920 15415 15852 EPSG:900913:16 20591 21840 30830 31705 EPSG:900913:17 41182 43681 61661 63410 EPSG:900913:18 82364 87362 123323 126821 EPSG:900913:19 164729 174724 246647 253643 EPSG:900913:20 329459 349449 493294 507287 EPSG:900913:21 658918 698899 986588 1014575 EPSG:900913:22 1317836 1397798 1973177 2029151 EPSG:900913:23 2635672 2795596 3946355 4058302 EPSG:900913:24 5271344 5591192 7892711 8116604 EPSG:900913:25 10542688 11182385 15785423 16233208 EPSG:900913:26 21085376 22364770 31570846 32466417 EPSG:900913:27 42170752 44729541 63141693 64932835 EPSG:900913:28 84341504 89459082 126283387 129865670 EPSG:900913:29 168683009 178918164 252566775 259731340 EPSG:900913:30 337366019 357836328 505133550 519462680 Spatial interpolation of Calanus finmarchicus and Calanus helgolandicus observations in the North Sea -21.0 40.75 12.0 66.75 calanus_year_error image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 1 3 4 EPSG:4326:3 1 2 7 8 EPSG:4326:4 2 4 14 17 EPSG:4326:5 4 8 28 34 EPSG:4326:6 8 17 56 68 EPSG:4326:7 16 35 113 136 EPSG:4326:8 33 70 226 273 EPSG:4326:9 66 140 452 546 EPSG:4326:10 132 280 904 1092 EPSG:4326:11 264 560 1809 2184 EPSG:4326:12 529 1120 3618 4369 EPSG:4326:13 1058 2241 7236 8738 EPSG:4326:14 2116 4482 14472 17476 EPSG:4326:15 4232 8965 28945 34952 EPSG:4326:16 8465 17931 57890 69905 EPSG:4326:17 16930 35862 115780 139810 EPSG:4326:18 33860 71725 231560 279620 EPSG:4326:19 67720 143451 463121 559240 EPSG:4326:20 135441 286902 926242 1118481 EPSG:4326:21 270882 573804 1852484 2236962 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 0 1 1 2 EPSG:900913:3 1 3 3 4 EPSG:900913:4 3 6 7 8 EPSG:900913:5 7 12 14 17 EPSG:900913:6 15 24 28 34 EPSG:900913:7 31 48 56 68 EPSG:900913:8 63 96 113 136 EPSG:900913:9 127 192 226 273 EPSG:900913:10 254 384 452 546 EPSG:900913:11 508 769 904 1092 EPSG:900913:12 1017 1539 1809 2184 EPSG:900913:13 2034 3078 3618 4369 EPSG:900913:14 4068 6157 7236 8738 EPSG:900913:15 8137 12315 14472 17476 EPSG:900913:16 16275 24631 28945 34952 EPSG:900913:17 32550 49262 57890 69905 EPSG:900913:18 65101 98525 115780 139810 EPSG:900913:19 130202 197050 231560 279620 EPSG:900913:20 260405 394101 463121 559240 EPSG:900913:21 520811 788202 926242 1118481 EPSG:900913:22 1041622 1576405 1852484 2236962 EPSG:900913:23 2083244 3152811 3704968 4473924 EPSG:900913:24 4166488 6305623 7409937 8947848 EPSG:900913:25 8332976 12611246 14819874 17895697 EPSG:900913:26 16665952 25222493 29639748 35791394 EPSG:900913:27 33331904 50444986 59279496 71582788 EPSG:900913:28 66663808 100889972 118558993 143165576 EPSG:900913:29 133327617 201779944 237117986 286331153 EPSG:900913:30 266655234 403559888 474235972 572662306 Community Temperature Index (CTI) for intertidal macroalgae in NW Spain Ocean warming is expected to drive quick shifts in marine species distributions modifying coastal communities. Previous research has shown how the southern Bay of Biscay is particularly affected and the canopy-forming subtidal and intertidal macroalgal assemblages are expected to be replaced by turf-forming Mediterranean-like communities with warmer affinities by the end of the century. The effect of temperature on macroalgal communities could be assesed using thermal metrics that can target temperature effects alone. An example is the Community Temperature Index (CTI) which is an abundance-weighted mean of the species’ optimal temperature. It has been previously used to understand the thermal preferences of different organisms such us birds, fish or invertebrates. This product provides the Community Temperature Index (CTI) of macroalgae intertidal communities from NW Spain. The CTI has been calculated for 18 sites along a longitudinal thermal gradient in NW Spain, two intertidal levels (Low and Mid) and two different years (2011 and 2017). Results are stored in a csv file with the coordinates of each site ("decimalLongitude" and "decimalLatitude" columns), their codes ("Site" and "Intertidal_level" columns), the sampling year ("Year" column) and the mean CTI ("CTI column"). -9.249575 42.235177 -2.259167 43.629808 cti_macroalgae_nw_spain image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 0 0 1 1 EPSG:4326:2 1 1 3 3 EPSG:4326:3 2 2 7 7 EPSG:4326:4 4 4 15 15 EPSG:4326:5 8 8 30 31 EPSG:4326:6 16 16 60 63 EPSG:4326:7 32 33 121 126 EPSG:4326:8 65 67 242 252 EPSG:4326:9 131 135 485 505 EPSG:4326:10 263 271 971 1011 EPSG:4326:11 527 543 1942 2022 EPSG:4326:12 1055 1086 3885 4044 EPSG:4326:13 2110 2173 7771 8089 EPSG:4326:14 4220 4347 15542 16178 EPSG:4326:15 8441 8695 31084 32356 EPSG:4326:16 16882 17390 62168 64713 EPSG:4326:17 33765 34781 124336 129426 EPSG:4326:18 67531 69562 248673 258853 EPSG:4326:19 135062 139125 497346 517707 EPSG:4326:20 270125 278250 994693 1035415 EPSG:4326:21 540251 556500 1989386 2070830 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 0 EPSG:900913:2 1 1 1 1 EPSG:900913:3 2 2 3 3 EPSG:900913:4 5 5 7 7 EPSG:900913:5 11 11 15 15 EPSG:900913:6 23 23 30 31 EPSG:900913:7 46 47 60 63 EPSG:900913:8 93 94 121 126 EPSG:900913:9 186 189 242 252 EPSG:900913:10 373 379 485 505 EPSG:900913:11 747 758 971 1011 EPSG:900913:12 1495 1516 1942 2022 EPSG:900913:13 2990 3033 3885 4044 EPSG:900913:14 5980 6067 7771 8089 EPSG:900913:15 11961 12135 15542 16178 EPSG:900913:16 23923 24270 31084 32356 EPSG:900913:17 47847 48540 62168 64713 EPSG:900913:18 95694 97081 124336 129426 EPSG:900913:19 191388 194162 248673 258853 EPSG:900913:20 382777 388325 497346 517707 EPSG:900913:21 765554 776651 994693 1035415 EPSG:900913:22 1531108 1553303 1989386 2070830 EPSG:900913:23 3062217 3106606 3978773 4141661 EPSG:900913:24 6124435 6213212 7957546 8283323 EPSG:900913:25 12248871 12426425 15915093 16566646 EPSG:900913:26 24497742 24852851 31830186 33133292 EPSG:900913:27 48995484 49705702 63660372 66266585 EPSG:900913:28 97990968 99411405 127320744 132533170 EPSG:900913:29 195981937 198822810 254641489 265066341 EPSG:900913:30 391963874 397645621 509282979 530132683 Spatial interpolation of Calanus finmarchicus and Calanus helgolandicus observations in the North Sea -21.0 40.75 12.0 66.75 calanus_year_abundance image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 1 3 4 EPSG:4326:3 1 2 7 8 EPSG:4326:4 2 4 14 17 EPSG:4326:5 4 8 28 34 EPSG:4326:6 8 17 56 68 EPSG:4326:7 16 35 113 136 EPSG:4326:8 33 70 226 273 EPSG:4326:9 66 140 452 546 EPSG:4326:10 132 280 904 1092 EPSG:4326:11 264 560 1809 2184 EPSG:4326:12 529 1120 3618 4369 EPSG:4326:13 1058 2241 7236 8738 EPSG:4326:14 2116 4482 14472 17476 EPSG:4326:15 4232 8965 28945 34952 EPSG:4326:16 8465 17931 57890 69905 EPSG:4326:17 16930 35862 115780 139810 EPSG:4326:18 33860 71725 231560 279620 EPSG:4326:19 67720 143451 463121 559240 EPSG:4326:20 135441 286902 926242 1118481 EPSG:4326:21 270882 573804 1852484 2236962 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 0 1 1 2 EPSG:900913:3 1 3 3 4 EPSG:900913:4 3 6 7 8 EPSG:900913:5 7 12 14 17 EPSG:900913:6 15 24 28 34 EPSG:900913:7 31 48 56 68 EPSG:900913:8 63 96 113 136 EPSG:900913:9 127 192 226 273 EPSG:900913:10 254 384 452 546 EPSG:900913:11 508 769 904 1092 EPSG:900913:12 1017 1539 1809 2184 EPSG:900913:13 2034 3078 3618 4369 EPSG:900913:14 4068 6157 7236 8738 EPSG:900913:15 8137 12315 14472 17476 EPSG:900913:16 16275 24631 28945 34952 EPSG:900913:17 32550 49262 57890 69905 EPSG:900913:18 65101 98525 115780 139810 EPSG:900913:19 130202 197050 231560 279620 EPSG:900913:20 260405 394101 463121 559240 EPSG:900913:21 520811 788202 926242 1118481 EPSG:900913:22 1041622 1576405 1852484 2236962 EPSG:900913:23 2083244 3152811 3704968 4473924 EPSG:900913:24 4166488 6305623 7409937 8947848 EPSG:900913:25 8332976 12611246 14819874 17895697 EPSG:900913:26 16665952 25222493 29639748 35791394 EPSG:900913:27 33331904 50444986 59279496 71582788 EPSG:900913:28 66663808 100889972 118558993 143165576 EPSG:900913:29 133327617 201779944 237117986 286331153 EPSG:900913:30 266655234 403559888 474235972 572662306 Species distribution model of invasive macroalgae The number of marine seaweeds outside their natural boundaries has increased in the last decades generating impacts on biodiversity and economy. This makes the development of management tools necessary, where species distribution models (SDMs) play a crucial role. SDMs can help in the early detection of invasions and predict the extent of the potential spread. However, modelling non-native marine species distributions is still challenging in terms of model building, evaluation and selection. This product aims to predict the European distribution of four widespread introduced seaweed species selecting the best model building process. -35.95833 15.04167 42.875 83.70833 kuenm_models image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 1 3 4 EPSG:4326:3 0 3 6 9 EPSG:4326:4 0 6 12 19 EPSG:4326:5 1 13 25 39 EPSG:4326:6 2 26 51 79 EPSG:4326:7 4 53 102 158 EPSG:4326:8 8 106 204 316 EPSG:4326:9 17 213 409 633 EPSG:4326:10 35 426 819 1267 EPSG:4326:11 71 852 1638 2535 EPSG:4326:12 143 1705 3277 5071 EPSG:4326:13 286 3411 6555 10143 EPSG:4326:14 572 6822 13110 20286 EPSG:4326:15 1145 13645 26221 40573 EPSG:4326:16 2290 27291 52443 81146 EPSG:4326:17 4581 54582 104887 162292 EPSG:4326:18 9162 109165 209775 324585 EPSG:4326:19 18325 218331 419551 649170 EPSG:4326:20 36651 436663 839103 1298340 EPSG:4326:21 73303 873327 1678207 2596681 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 0 1 1 2 EPSG:900913:3 0 3 3 4 EPSG:900913:4 0 7 6 9 EPSG:900913:5 1 14 12 19 EPSG:900913:6 2 29 25 39 EPSG:900913:7 4 58 51 79 EPSG:900913:8 9 117 102 158 EPSG:900913:9 19 234 204 316 EPSG:900913:10 39 468 409 633 EPSG:900913:11 78 937 819 1267 EPSG:900913:12 156 1874 1638 2535 EPSG:900913:13 313 3749 3277 5071 EPSG:900913:14 626 7499 6555 10143 EPSG:900913:15 1253 14998 13110 20286 EPSG:900913:16 2507 29997 26221 40573 EPSG:900913:17 5015 59995 52443 81146 EPSG:900913:18 10031 119990 104887 162292 EPSG:900913:19 20063 239981 209775 324585 EPSG:900913:20 40127 479963 419551 649170 EPSG:900913:21 80255 959927 839103 1298340 EPSG:900913:22 160511 1919855 1678207 2596681 EPSG:900913:23 321022 3839710 3356414 5193363 EPSG:900913:24 642045 7679421 6712828 10386727 EPSG:900913:25 1284091 15358843 13425656 20773455 EPSG:900913:26 2568182 30717686 26851313 41546911 EPSG:900913:27 5136365 61435373 53702626 83093822 EPSG:900913:28 10272730 122870747 107405253 166187645 EPSG:900913:29 20545461 245741494 214810507 332375290 EPSG:900913:30 41090922 491482988 429621015 664750580 Temporal Turnover in European Macrobenthos Communities This product builds on the EMODnet Biology data product Presence/absence data of macrozoobenthos in the European Seas to derive estimates of temporal turnover in benthic communities on a spatial grid across European seas. This product only uses species-level records, and only uses sampling events where the full macrobenthic community was surveyed (i.e. where there are no 'NA' values in the presence/absence dataset for any species). Six time periods are considered, based on data availability: before 1990, 1990-1999, 2000-2004, 2005-2009, 2010-2014, and 2015 and after. A 1 degree grid is used to obtain reasonable numbers of repeat samples per grid cell. The code below could be adapted to set different time periods and/or a different grid resolution. This readme describes the product structure, including the workflow to generate the required derived datasets and the process for turning them into gridded maps of community turnover. -33.0 28.0 44.0 79.0 all_diversity_measures image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 1 3 4 EPSG:4326:3 0 2 6 9 EPSG:4326:4 0 5 13 19 EPSG:4326:5 1 11 26 39 EPSG:4326:6 3 22 52 79 EPSG:4326:7 7 44 104 159 EPSG:4326:8 15 88 209 318 EPSG:4326:9 31 176 418 637 EPSG:4326:10 62 352 836 1274 EPSG:4326:11 125 705 1672 2548 EPSG:4326:12 250 1410 3345 5097 EPSG:4326:13 500 2821 6690 10194 EPSG:4326:14 1001 5643 13380 20388 EPSG:4326:15 2002 11286 26760 40777 EPSG:4326:16 4004 22573 53521 81555 EPSG:4326:17 8009 45147 107042 163111 EPSG:4326:18 16019 90294 214084 326223 EPSG:4326:19 32039 180588 428168 652447 EPSG:4326:20 64079 361176 856337 1304894 EPSG:4326:21 128159 722352 1712674 2609789 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 0 1 1 2 EPSG:900913:3 1 3 3 4 EPSG:900913:4 2 6 6 9 EPSG:900913:5 4 13 13 19 EPSG:900913:6 8 26 26 39 EPSG:900913:7 16 53 52 79 EPSG:900913:8 32 107 104 159 EPSG:900913:9 65 214 209 318 EPSG:900913:10 130 428 418 637 EPSG:900913:11 261 857 836 1274 EPSG:900913:12 522 1715 1672 2548 EPSG:900913:13 1044 3431 3345 5097 EPSG:900913:14 2089 6863 6690 10194 EPSG:900913:15 4178 13727 13380 20388 EPSG:900913:16 8356 27454 26760 40777 EPSG:900913:17 16713 54909 53521 81555 EPSG:900913:18 33426 109819 107042 163111 EPSG:900913:19 66853 219638 214084 326223 EPSG:900913:20 133707 439277 428168 652447 EPSG:900913:21 267415 878555 856337 1304894 EPSG:900913:22 534831 1757110 1712674 2609789 EPSG:900913:23 1069662 3514220 3425348 5219578 EPSG:900913:24 2139324 7028440 6850696 10439156 EPSG:900913:25 4278648 14056881 13701393 20878313 EPSG:900913:26 8557296 28113762 27402786 41756626 EPSG:900913:27 17114593 56227524 54805572 83513252 EPSG:900913:28 34229187 112455048 109611144 167026505 EPSG:900913:29 68458375 224910096 219222289 334053011 EPSG:900913:30 136916750 449820192 438444578 668106023 EMODnet Gridded abundances of marine species This dataproduct consists of a set of gridded map layers showing the average abundance of different species of species groups for different time windows (seasonal, annual or multi-annual as appropriate) using spatial modelling. They cover a wide taxonomic range, from the smallest organisms (e.g. diatoms, flagellates) to the largest ones (e.g. fish, birds, reptiles, mammals), encompassing all trophic levels. -180.0 -90.0 180.0 90.0 Species_gridded_abundance_all image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:900913 EMODnet OOPS products Shapefile containing a set of gridded map layers showing the average abundance of the six most abundant Copepod species from the CPR for different time windows (seasonal, annual) using geospatial modelling. The spatial modelling tool used to calculate the gridded abundance maps is based on DIVA (Data-Interpolating Variational Analysis). -4.95 48.05 12.25 60.75 OOPS_products image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 0 3 4 EPSG:4326:3 1 1 7 8 EPSG:4326:4 2 3 15 17 EPSG:4326:5 5 7 31 34 EPSG:4326:6 10 14 62 68 EPSG:4326:7 20 29 124 136 EPSG:4326:8 41 59 248 273 EPSG:4326:9 83 119 497 546 EPSG:4326:10 166 238 995 1093 EPSG:4326:11 332 477 1991 2187 EPSG:4326:12 665 954 3983 4374 EPSG:4326:13 1331 1909 7966 8749 EPSG:4326:14 2662 3818 15933 17499 EPSG:4326:15 5324 7636 31866 34998 EPSG:4326:16 10649 15273 63733 69996 EPSG:4326:17 21299 30547 127467 139992 EPSG:4326:18 42598 61094 254935 279984 EPSG:4326:19 85196 122188 509870 559968 EPSG:4326:20 170393 244376 1019740 1119937 EPSG:4326:21 340787 488752 2039480 2239874 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 1 1 1 2 EPSG:900913:3 2 2 3 4 EPSG:900913:4 4 5 7 8 EPSG:900913:5 9 11 15 17 EPSG:900913:6 18 22 31 34 EPSG:900913:7 36 44 62 68 EPSG:900913:8 73 88 124 136 EPSG:900913:9 146 177 248 273 EPSG:900913:10 293 355 497 546 EPSG:900913:11 586 711 995 1093 EPSG:900913:12 1172 1422 1991 2187 EPSG:900913:13 2344 2845 3983 4374 EPSG:900913:14 4688 5691 7966 8749 EPSG:900913:15 9377 11383 15933 17499 EPSG:900913:16 18755 22767 31866 34998 EPSG:900913:17 37510 45535 63733 69996 EPSG:900913:18 75021 91070 127467 139992 EPSG:900913:19 150043 182141 254935 279984 EPSG:900913:20 300086 364282 509870 559968 EPSG:900913:21 600173 728564 1019740 1119937 EPSG:900913:22 1200346 1457129 2039480 2239874 EPSG:900913:23 2400692 2914259 4078960 4479749 EPSG:900913:24 4801385 5828518 8157921 8959499 EPSG:900913:25 9602771 11657036 16315842 17918998 EPSG:900913:26 19205542 23314072 32631685 35837997 EPSG:900913:27 38411085 46628144 65263370 71675995 EPSG:900913:28 76822171 93256289 130526740 143351990 EPSG:900913:29 153644343 186512578 261053480 286703980 EPSG:900913:30 307288686 373025156 522106961 573407960 EMODnet OOPS errors Shapefile containing the error values of the spatial modelling tool DIVA used to calculate the gridded abundance maps of the six most abundant Copepod species from the CPR for different time windows (seasonal, annual) using geospatial modelling. -4.95 48.05 11.95 62.05 OOPS_errors image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 1 EPSG:4326:1 0 0 1 2 EPSG:4326:2 0 0 3 4 EPSG:4326:3 1 1 7 8 EPSG:4326:4 2 3 15 17 EPSG:4326:5 4 7 31 34 EPSG:4326:6 9 14 62 68 EPSG:4326:7 19 29 124 136 EPSG:4326:8 39 59 248 272 EPSG:4326:9 79 119 497 545 EPSG:4326:10 159 238 995 1091 EPSG:4326:11 318 477 1991 2183 EPSG:4326:12 636 954 3983 4367 EPSG:4326:13 1272 1909 7966 8735 EPSG:4326:14 2544 3818 15933 17471 EPSG:4326:15 5088 7636 31866 34943 EPSG:4326:16 10176 15273 63733 69886 EPSG:4326:17 20352 30547 127467 139773 EPSG:4326:18 40705 61094 254935 279547 EPSG:4326:19 81410 122188 509870 559094 EPSG:4326:20 162820 244376 1019740 1118189 EPSG:4326:21 325641 488752 2039480 2236379 EPSG:900913 EPSG:900913:0 0 0 0 0 EPSG:900913:1 0 0 0 1 EPSG:900913:2 1 1 1 2 EPSG:900913:3 2 2 3 4 EPSG:900913:4 4 5 7 8 EPSG:900913:5 8 11 15 17 EPSG:900913:6 17 22 31 34 EPSG:900913:7 35 44 62 68 EPSG:900913:8 71 88 124 136 EPSG:900913:9 142 177 248 272 EPSG:900913:10 285 355 497 545 EPSG:900913:11 570 711 995 1091 EPSG:900913:12 1141 1422 1991 2183 EPSG:900913:13 2282 2845 3983 4367 EPSG:900913:14 4565 5691 7966 8735 EPSG:900913:15 9130 11383 15933 17471 EPSG:900913:16 18260 22767 31866 34943 EPSG:900913:17 36521 45535 63733 69886 EPSG:900913:18 73043 91070 127467 139773 EPSG:900913:19 146087 182141 254935 279547 EPSG:900913:20 292175 364282 509870 559094 EPSG:900913:21 584350 728564 1019740 1118189 EPSG:900913:22 1168700 1457129 2039480 2236379 EPSG:900913:23 2337401 2914259 4078960 4472759 EPSG:900913:24 4674802 5828518 8157921 8945518 EPSG:900913:25 9349604 11657036 16315842 17891036 EPSG:900913:26 18699209 23314072 32631685 35782073 EPSG:900913:27 37398418 46628144 65263370 71564146 EPSG:900913:28 74796837 93256289 130526740 143128293 EPSG:900913:29 149593675 186512578 261053480 286256587 EPSG:900913:30 299187350 373025156 522106961 572513175 Grey Seal Distribution Polygons These grid data were derived from National Parks and Wildlife Service cetacean surveys within the Irish MSFD area and the EEA-10km GRID. The grid shows the current distribution of Grey seal (Halichoreus grypus) in Irish coastal and marine waters. The data were collected for the purposes of 2019 reporting under Article 17 of the EU Habitats Directive. -10.782374382019 51.3417510986328 -5.83586025238037 55.5402717590332 grey_seal image/png image/jpeg text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml text/html application/json EPSG:4326 EPSG:4326:0 0 0 0 0 EPSG:4326:1 0 0 1 1 EPSG:4326:2 0 0 3 3 EPSG:4326:3 1 1 7 7 EPSG:4326:4 3 3 15 15 EPSG:4326:5 6 6 30 30 EPSG:4326:6 12 13 60 61 EPSG:4326:7 24 27 120 123 EPSG:4326:8 49 54 240 247 EPSG:4326:9 98 109 481 495 EPSG:4326:10 196 219 962 990 EPSG:4326:11 392 439 1925 1981 EPSG:4326:12 784 879 3850 3963 EPSG:4326:13 1568 1759 7701 7926 EPSG:4326:14 3136 3518 15402 15852 EPSG:4326:15 6273 7037 30805 31705 EPSG:4326:16 12546 14075 61610 63411 EPSG:4326:17 25092 28150 123220 126822 EPSG:4326:18 50185 56300 246441 253644 EPSG:4326:19 100371 112600 492882 507289 EPSG:4326:20 200742 225200 985764 1014579 EPSG:4326:21 401484 450401 1971528 2029159 EPSG:900913 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