Literature DB >> 26396743

High-resolution computed tomography reconstructions of invertebrate burrow systems.

Rachel Hale1, Richard Boardman2, Mark N Mavrogordato2, Ian Sinclair2, Trevor J Tolhurst3, Martin Solan1.   

Abstract

The architecture of biogenic structures can be highly influential in determining species contributions to major soil and sediment processes, but detailed 3-D characterisations are rare and descriptors of form and complexity are lacking. Here we provide replicate high-resolution micro-focus computed tomography (μ-CT) data for the complete burrow systems of three co-occurring, but functionally contrasting, sediment-dwelling inter-tidal invertebrates assembled alone, and in combination, in representative model aquaria. These data (≤ 2,000 raw image slices aquarium(-1), isotropic voxel resolution, 81 μm) provide reference models that can be used for the development of novel structural analysis routines that will be of value within the fields of ecology, pedology, geomorphology, palaeobiology, ichnology and mechanical engineering. We also envisage opportunity for those investigating transport networks, vascular systems, plant rooting systems, neuron connectivity patterns, or those developing image analysis or statistics related to pattern or shape recognition. The dataset will allow investigators to develop or test novel methodology and ideas without the need to generate a complete three-dimensional computation of exemplar architecture.

Entities:  

Mesh:

Year:  2015        PMID: 26396743      PMCID: PMC4576671          DOI: 10.1038/sdata.2015.52

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


Background & Summary

Soils and sediments provide habitat for a wide range of organisms and the vertical exploitation of this ecospace has been important in mediating major ecosystem properties and the diversification of life over geological timescales[1-3]. Insights about organism-sediment relations, however, have largely been restricted to two dimensions[4,5], although important inferences about burrowing mechanics[6] and three dimensional architecture[7] have been made from burrow castings[8] and the use of optically transparent sediment analogues[9]. Relatively few studies apply non-invasive interrogation of intact sedimentary media[10-13], despite significant advances in optical and clinical imaging technology[14]. High-resolution micro-focus computed tomography (μ-CT) offers a way of not only imaging the organisms themselves[15,16] but also visualising the structure of a whole sediment core in three dimensions to allow quantitative examination of organismal burrowing[17]. Experimental details are given in Hale et al.[18]. Briefly, surficial sediment (less than 3 cm depth; mean particle size, 54.80 μm; mud content, 55.93%) and three co-occurring functionally contrasting inter-tidal invertebrates (the polychaete Hediste diversicolor, the gastropod Hydrobia ulvae and mud shrimp Corophium volutator) were collected from the mid-shore at Breydon water, Great Yarmouth, UK (N52° 37.030′, E01° 41.390′) and returned to the Biodiversity and Ecosystem Futures Facility at the University of Southampton to acclimatise to laboratory conditions (5 days). Sediment was sieved (500 μm mesh) in a seawater (sand filtered, UV sterilized and salinity 33 practical salinity units) bath to remove macrofauna and allowed to settle for 48 h to retain the fine fraction (less than 63 μm). Circular aquaria (internal diameter=10 cm, 15 cm tall, n=20) were filled to a depth of 8 cm with sediment homogenate overlain by 4 cm of seawater. Overlying seawater was replaced after 24 h to remove excess nutrients associated with assembly. Aquaria were aerated and maintained at 12±0.1 °C under a 12:12 h light (Aqualine T5 Reef White 10 K fluorescent light tubes, Aqua Medic) cycle. Fauna were not added until the lower regions of the sediment cores showed evidence of reducing conditions (visible anoxic microniche formation). Replicate (n=5) invertebrate communities (1 g wet weight aquaria−1; ~127 g m−2) were assembled in monoculture (Hediste diversicolor, HD; Hydrobia ulvae, HU; or Corophium volutator, CV) and in equal mixture (Mix). These μ-CT sediment scans can provide reference models which may be of use in a range of connected fields, such as for the development of novel structural analysis routines and computer models in ecology[17,19], pedology[20], geomorphology, ichnology[21], palaeobiology, and mechanical engineering[22]. We envisage those investigating transport networks[23], vascular systems, plant rooting systems[24], neuron connectivity patterns[25,26], or developing image analysis or statistics related to pattern or shape recognition will find these data of interest. We have made this dataset available to allow investigators to develop or test novel methodology and ideas without the need to generate a complete three-dimensional computation of exemplar architecture.

Methods

Reconstruction of biogenic structures in the aquaria was achieved using a 225/450 kVp Nikon/Metris custom designed micro-focus computed tomography scanner housed within the μ-VIS X-ray Imaging Centre, University of Southampton. As the system used to acquire the scan data requires the cores to be held vertically batches of 5 aquaria were stacked and secured in a custom-made holding brace to ensure stability and prevent sediment or seawater leakage during rotation and scanning (Fig. 1). During each acquisition, the aquaria were rotated through 360° whilst collecting 3,142 projections averaging over 8 frames per 250 ms projection (for a total of 2 s per projection, ca. 105 min per acquisition). Ring artifact reduction was enabled. X-ray conditions were set to 300 kVp and 326 μA with a 3 mm Cu filter, and an XRD 1621 CN3 H5 PerkinElmer flat panel detector (CsI scintillator) was used to collect the images. In the resulting reconstructed images, levels of grey scale reflect the level of X-ray attenuation caused by variation in bulk density[3]. Hence, brighter pixels represent denser material (sediment) and darker pixels represent less dense material (burrow voids). Raw image slices (n=2,000 aquarium−1, voxel resolution=81 μm) were processed as follows: First, the projection data was reconstructed using CTPro3D (v. XT 2.2 service pack 10, Nikon Metrology, UK) and CTAgent (v. XT 2.2 service pack 10, Nikon Metrology, UK). The reconstructed volumes were converted to 8 bit format using FIJI[27] (Version 1.49a) to reduce file sizes and computational loading. Finally, these images were opened as a 3D project in VGStudio Max (v. 2.1 Volume Graphics GmbH, Germany) and an edge-preserving 3D 5 pixel non-linear digital median filter was applied to reduce noise in the images.
Figure 1

Five aquaria stacked in the holding brace in the micro-focus computed tomography scanner housed within the μ-VIS X-ray Imaging Centre, University of Southampton.

Three types of images were produced. Whole core scans of 16-bit quality (Core_Volume_01_16bit to Core_Volume_20_16bit: Data Citation 1), processed image whole core scans of 8-bit quality with a 3D 5 pixel non-linear digital median filter applied (Core_Volume_01 to Core_Volume_20: Data Citation 1), an example slice of which is shown in Fig. 2, and processed burrow images (Burrow_Volume_01 to Burrow_Volume_20: Data Citation 1). To produce the burrow images the three-dimensional image captured of the aquaria and the holding brace was discarded to leave the central sediment core volume. Within the sediment core, regions of interest, the low density burrows, were segmented using a threshold based seed point growing algorithm that identified three-dimensional areas of similar low densities to produce a three-dimensional image of the burrow network (Fig. 3) called the burrow volume.
Figure 2

A representative transverse core slice from the Core Volumes image set showing distinct low density burrows (dark grey) through the (light grey) higher density sediment.

A Core Volume image set consists of number images that are sequentially stacked to create the three-dimensional core volume image. The central sediment core is 10 cm in diameter.

Figure 3

Representative example reconstructed three-dimensional burrow models for (a) Hediste diversicolor, (b) Hydrobia ulvae, (c) Corophium volutator, and (d) the three species in mixture created from the stacked Burrow Volumes images in VG Studio.

The sediment cores containing the burrows are 10 cm in diameter.

Data Records

All data records listed in this section are available at the Harvard Dataverse (Data Citation 1). Details of supplementary experimental procedures and additional materials, including videos of the three dimensional burrow structures are available from Hale et al.[18]. Computed tomography three-dimensional files have been converted to stacked tagged image file format (TIFF) images with associated dimension data (image width, image breadth, stack height) to enable access by multiple processing programs. There are three sets of images (n=20). Sediment core volume images for each replicate in 16- bit (Core_Volume_01_16bit to Core_Volume_20_16bit) and 8- bit (Core_Volume_01 to Core_Volume_20) and burrow volume images for each replicate (Burrow_Volume_01 to Burrow_Volume_20).

Technical Validation

The system geometry at the μ-VIS X-ray Imaging Centre, University of Southampton, is checked and validated periodically using a 3 ruby sphere reference object that has been measured using optical profilometry (Xyris 4000 CL Surface Profiler, Taicaan technologies Europe). The centroid distances (threshold independent) of these ruby spheres when measured using CT are in agreement with the optical profilometry measurements to within 0.2%. For the presented scans, measurement validation was carried out post-scan by ensuring reference distances were accurately represented in the final images (within 1%).

Usage Notes

The TIFF images provided should be imported as a three dimensional image sequence. The starting image is 0. The number of images and dimensions of each stack for each sediment core or burrow volume is provided in Tables 1,2,3 (available online only). When importing, image names should be sorted numerically.
Table 1

Stacked image data for the 16-bit quality unfiltered sediment core volumes (n=20)

Core_IDScan_IDReplicate_IDSpecies_IDdimension_Xdimension_ydimension_Znumber_of_imagesspecies_id_folderstack_folderimagestack_fileprefixfirst_imagelast_image
341Rep_01Corophium volutator2000200020002000Species_CorophiumCore_Volume_01_CV01_16bitCore_Volume_01_CV01_16bit_2000_2000_2000_Core_Volume_01_CV01_16bit_2000_2000_2000_0000.tifCore_Volume_01_CV01_16bit_2000_2000_2000_1999.tif
242Rep_01Hediste diversicolor2000200020002000Species_HedisteCore_Volume_02_HD01_16bitCore_Volume_02_HD01_16bit_2000_2000_2000_Core_Volume_02_HD01_16bit_2000_2000_2000_0000.tifCore_Volume_02_HD01_16bit_2000_2000_2000_1999.tif
393Rep_01Mixed species2000200020002000Species_MixedCore_Volume_03_Mx01_16bitCore_Volume_03_Mx01_16bit_2000_2000_2000_Core_Volume_03_Mx01_16bit_2000_2000_2000_0000.tifCore_Volume_03_Mx01_16bit_2000_2000_2000_1999.tif
294Rep_01Hydrobia ulvae2000200020002000Species_HydrobiaCore_Volume_04_HU01_16bitCore_Volume_04_HU01_16bit_2000_2000_2000_Core_Volume_04_HU01_16bit_2000_2000_2000_0000.tifCore_Volume_04_HU01_16bit_2000_2000_2000_1999.tif
405Rep_02Mixed species2000200020002000Species_MixedCore_Volume_05_Mx02_16bitCore_Volume_05_Mx02_16bit_2000_2000_2000_Core_Volume_05_Mx02_16bit_2000_2000_2000_0000.tifCore_Volume_05_Mx02_16bit_2000_2000_2000_1999.tif
236Rep_02Hediste diversicolor2000200020002000Species_HedisteCore_Volume_06_HD02_16bitCore_Volume_06_HD02_16bit_2000_2000_2000_Core_Volume_06_HD02_16bit_2000_2000_2000_0000.tifCore_Volume_06_HD02_16bit_2000_2000_2000_1999.tif
367Rep_03Mixed species2000200020002000Species_MixedCore_Volume_07_Mx03_16bitCore_Volume_07_Mx03_16bit_2000_2000_2000_Core_Volume_07_Mx03_16bit_2000_2000_2000_0000.tifCore_Volume_07_Mx03_16bit_2000_2000_2000_1999.tif
318Rep_02Corophium volutator2000200020002000Species_CorophiumCore_Volume_08_CV02_16bitCore_Volume_08_CV02_16bit_2000_2000_2000_Core_Volume_08_CV02_16bit_2000_2000_2000_0000.tifCore_Volume_08_CV02_16bit_2000_2000_2000_1999.tif
309Rep_02Hydrobia ulvae2000200020002000Species_HydrobiaCore_Volume_09_HU02_16bitCore_Volume_09_HU02_16bit_2000_2000_2000_Core_Volume_09_HU02_16bit_2000_2000_2000_0000.tifCore_Volume_09_HU02_16bit_2000_2000_2000_1999.tif
2510Rep_03Hediste diversicolor2000200020002000Species_HedisteCore_Volume_10_HD03_16bitCore_Volume_10_HD03_16bit_2000_2000_2000_Core_Volume_10_HD03_16bit_2000_2000_2000_0000.tifCore_Volume_10_HD03_16bit_2000_2000_2000_1999.tif
2811Rep_03Hydrobia ulvae2000200020002000Species_HydrobiaCore_Volume_11_HU03_16bitCore_Volume_11_HU03_16bit_2000_2000_2000_Core_Volume_11_HU03_16bit_2000_2000_2000_0000.tifCore_Volume_11_HU03_16bit_2000_2000_2000_1999.tif
3812Rep_04Mixed species2000200020002000Species_MixedCore_Volume_12_Mx04_16bitCore_Volume_12_Mx04_16bit_2000_2000_2000_Core_Volume_12_Mx04_16bit_2000_2000_2000_0000.tifCore_Volume_12_Mx04_16bit_2000_2000_2000_1999.tif
2213Rep_04Hediste diversicolor2000200020002000Species_HedisteCore_Volume_13_HD04_16bitCore_Volume_13_HD04_16bit_2000_2000_2000_Core_Volume_13_HD04_16bit_2000_2000_2000_0000.tifCore_Volume_13_HD04_16bit_2000_2000_2000_1999.tif
2714Rep_04Hydrobia ulvae2000200020002000Species_HydrobiaCore_Volume_14_HU04_16bitCore_Volume_14_HU04_16bit_2000_2000_2000_Core_Volume_14_HU04_16bit_2000_2000_2000_0000.tifCore_Volume_14_HU04_16bit_2000_2000_2000_1999.tif
3515Rep_03Corophium volutator2000200020002000Species_CorophiumCore_Volume_15_CV03_16bitCore_Volume_15_CV03_16bit_2000_2000_2000_Core_Volume_15_CV03_16bit_2000_2000_2000_0000.tifCore_Volume_15_CV03_16bit_2000_2000_2000_1999.tif
3216Rep_04Corophium volutator2000200020002000Species_CorophiumCore_Volume_16_CV04_16bitCore_Volume_16_CV04_16bit_2000_2000_2000_Core_Volume_16_CV04_16bit_2000_2000_2000_0000.tifCore_Volume_16_CV04_16bit_2000_2000_2000_1999.tif
3717Rep_05Mixed species2000200020002000Species_MixedCore_Volume_17_Mx05_16bitCore_Volume_17_Mx05_16bit_2000_2000_2000_Core_Volume_17_Mx05_16bit_2000_2000_2000_0000.tifCore_Volume_17_Mx05_16bit_2000_2000_2000_1999.tif
3318Rep_05Corophium volutator2000200020002000Species_CorophiumCore_Volume_18_CV05_16bitCore_Volume_18_CV05_16bit_2000_2000_2000_Core_Volume_18_CV05_16bit_2000_2000_2000_0000.tifCore_Volume_18_CV05_16bit_2000_2000_2000_1999.tif
2619Rep_05Hydrobia ulvae2000200020002000Species_HydrobiaCore_Volume_19_HU05_16bitCore_Volume_19_HU05_16bit_2000_2000_2000_Core_Volume_19_HU05_16bit_2000_2000_2000_0000.tifCore_Volume_19_HU05_16bit_2000_2000_2000_1999.tif
2120Rep_05Hediste diversicolor2000200020002000Species_HedisteCore_Volume_20_HD05_16bitCore_Volume_20_HD05_16bit_2000_2000_2000_Core_Volume_20_HD05_16bit_2000_2000_2000_0000.tifCore_Volume_20_HD05_16bit_2000_2000_2000_1999.tif
Table 2

Stacked image data for the 8-bit quality sediment core volumes with 3D 5 pixel non-linear digital median filtered applied (n=20)

Core_IDScan_IDReplicate_IDSpecies_IDdimension_Xdimension_ydimension_Znumber_of_imagesspecies_id_folderstack_folderimagestack_fileprefixfirst_imagelast_image
341Rep_01Corophium volutator12301230700700Species_CorophiumCore_Volume_01_CV01Core_Volume_01_CV01_1230_1230_700_Core_Volume_01_CV01_1230_1230_700_0000.tifCore_Volume_01_CV01_1230_1230_700_0699.tif
242Rep_01Hediste diversicolor17011401928928Species_HedisteCore_Volume_02_HD01Core_Volume_02_HD01_1701_1401_928_Core_Volume_02_HD01_1701_1401_928_0000.tifCore_Volume_02_HD01_1701_1401_928_0927.tif
393Rep_01Mixed species14011401892892Species_MixedCore_Volume_03_Mx01Core_Volume_03_Mx01_1401_1401_892_Core_Volume_03_Mx01_1401_1401_892_0000.tifCore_Volume_03_Mx01_1401_1401_829_0828.tif
294Rep_01Hydrobia ulvae1501150112011201Species_HydrobiaCore_Volume_04_HU01Core_Volume_04_HU01_1501_1501_1201_Core_Volume_04_HU01_1501_1501_1201_0000.tifCore_Volume_04_HU01_1501_1501_1201_1200.tif
405Rep_02Mixed species12071217923923Species_MixedCore_Volume_05_Mx02Core_Volume_05_Mx02_1207_1217_923_Core_Volume_05_Mx02_1207_1217_923_0000.tifCore_Volume_05_Mx02_1207_1217_923_0922.tif
236Rep_02Hediste diversicolor1601160114011401Species_HedisteCore_Volume_06_HD02Core_Volume_06_HD02_1601_1601_1401_Core_Volume_06_HD02_1601_1601_1401_0000.tifCore_Volume_06_HD02_1601_1601_1401_1400.tif
367Rep_03Mixed species1501150111011101Species_MixedCore_Volume_07_Mx03Core_Volume_07_Mx03_1501_1501_1101_Core_Volume_07_Mx03_1501_1501_1101_0000.tifCore_Volume_07_Mx03_1501_1501_1101_1100.tif
318Rep_02Corophium volutator1501150114011401Species_CorophiumCore_Volume_08_CV02Core_Volume_08_CV02_1501_1501_1401_Core_Volume_08_CV02_1501_1501_1401_0000.tifCore_Volume_08_CV02_1501_1501_1401_1400.tif
309Rep_02Hydrobia ulvae15011501801801Species_HydrobiaCore_Volume_09_HU02Core_Volume_09_HU02_1501_1501_801_Core_Volume_09_HU02_1501_1501_801_0000.tifCore_Volume_09_HU02_1501_1501_801_0800.tif
2510Rep_03Hediste diversicolor2000200020002000Species_HedisteCore_Volume_10_HD03Core_Volume_10_HD03_2000_2000_2000_Core_Volume_10_HD03_2000_2000_2000_0000.tifCore_Volume_10_HD03_2000_2000_2000_1999.tif
2811Rep_03Hydrobia ulvae1501150110011001Species_HydrobiaCore_Volume_11_HU03Core_Volume_11_HU03_1501_1501_1001_Core_Volume_11_HU03_1501_1501_1001_0000.tifCore_Volume_11_HU03_1501_1501_1001_1000.tif
3812Rep_04Mixed species1601160113011301Species_MixedCore_Volume_12_Mx04Core_Volume_12_Mx04_1601_1601_1301_Core_Volume_12_Mx04_1601_1601_1301_0000.tifCore_Volume_12_Mx04_1601_1601_1301_1300.tif
2213Rep_04Hediste diversicolor1601160113011301Species_HedisteCore_Volume_13_HD04Core_Volume_13_HD04_1601_1601_1301_Core_Volume_13_HD04_1601_1601_1301_0000.tifCore_Volume_13_HD04_1601_1601_1301_1300.tif
2714Rep_04Hydrobia ulvae16011601951951Species_HydrobiaCore_Volume_14_HU04Core_Volume_14_HU04_1601_1601_951_Core_Volume_14_HU04_1601_1601_951_0000.tifCore_Volume_14_HU04_1601_1601_951_0950.tif
3515Rep_03Corophium volutator1601160112011201Species_CorophiumCore_Volume_15_CV03Core_Volume_15_CV03_1601_1601_1201_Core_Volume_15_CV03_1601_1601_1201_0000.tifCore_Volume_15_CV03_1601_1601_1201_1200.tif
3216Rep_04Corophium volutator1601160110011001Species_CorophiumCore_Volume_16_CV04Core_Volume_16_CV04_1601_1601_1001_Core_Volume_16_CV04_1601_1601_1001_0000.tifCore_Volume_16_CV04_1601_1601_1001_1000.tif
3717Rep_05Mixed species1601160115011501Species_MixedCore_Volume_17_Mx05Core_Volume_17_Mx05_1601_1601_1501_Core_Volume_17_Mx05_1601_1601_1501_0000.tifCore_Volume_17_Mx05_1601_1601_1501_1500.tif
3318Rep_05Corophium volutator1601160112011201Species_CorophiumCore_Volume_18_CV05Core_Volume_18_CV05_1601_1601_1201_Core_Volume_18_CV05_1601_1601_1201_0000.tifCore_Volume_18_CV05_1601_1601_1201_1200.tif
2619Rep_05Hydrobia ulvae1601160111011101Species_HydrobiaCore_Volume_19_HU05Core_Volume_19_HU05_1601_1601_1101_Core_Volume_19_HU05_1601_1601_1101_0000.tifCore_Volume_19_HU05_1601_1601_1101_1100.tif
2120Rep_05Hediste diversicolor1601160114011401Species_HedisteCore_Volume_20_HD05Core_Volume_20_HD05_1601_1601_1401_Core_Volume_20_HD05_1601_1601_1401_0000.tifCore_Volume_20_HD05_1601_1601_1401_1400.tif
Table 3

Stacked image data for the burrow volumes (n=20)

Core_IDScan_IDReplicate_IDSpecies_IDdimension_Xdimension_ydimension_Znumber_of_imagesspecies_id_folderstack_folderimagestack_fileprefixfirst_imagelast_image
341Rep_01Corophium volutator12291184265265Species_CorophiumBurrow_Volume_01_CV01Burrow_Volume_01_CV01_1229_1184_265_Burrow_Volume_01_CV01_1229_1184_265_000.tifBurrow_Volume_01_CV01_1229_1184_265_264.tif
242Rep_01Hediste diversicolor12071219909909Species_HedisteBurrow_Volume_02_HD01Burrow_Volume_02_HD01_1207_1219_909_Burrow_Volume_02_HD01_1207_1219_909_000.tifBurrow_Volume_02_HD01_1207_1219_909_908.tif
393Rep_01Mixed species12191236872872Species_MixedBurrow_Volume_03_Mx01Burrow_Volume_03_Mx01_1219_1236_872_Burrow_Volume_03_Mx01_1219_1236_872_000.tifBurrow_Volume_03_Mx01_1219_1236_872_871.tif
294Rep_01Hydrobia ulvae12201133411411Species_HydrobiaBurrow_Volume_04_HU01Burrow_Volume_04_HU01_1220_1133_411_Burrow_Volume_04_HU01_1220_1133_411_000.tifBurrow_Volume_04_HU01_1220_1133_411_410.tif
405Rep_02Mixed species12051215900900Species_MixedBurrow_Volume_05_Mx02Burrow_Volume_05_Mx02_1205_1215_900_Burrow_Volume_05_Mx02_1205_1215_900_000.tifBurrow_Volume_05_Mx02_1205_1215_900_899.tif
236Rep_02Hediste diversicolor12281224906906Species_HedisteBurrow_Volume_06_HD02Burrow_Volume_06_HD02_1228_1224_906_Burrow_Volume_06_HD02_1228_1224_906_000.tifBurrow_Volume_06_HD02_1228_1224_906_905.tif
367Rep_03Mixed species12281223898898Species_MixedBurrow_Volume_07_Mx03Burrow_Volume_07_Mx03_1228_1223_898_Burrow_Volume_07_Mx03_1228_1223_898_000.tifBurrow_Volume_07_Mx03_1228_1223_898_897.tif
318Rep_02Corophium volutator11231121220220Species_CorophiumBurrow_Volume_08_CV02Burrow_Volume_08_CV02_1123_1121_220_Burrow_Volume_08_CV02_1123_1121_220_000.tifBurrow_Volume_08_CV02_1123_1121_220_219.tif
309Rep_02Hydrobia ulvae9001212313313Species_HydrobiaBurrow_Volume_09_HU02Burrow_Volume_09_HU02_900_1212_313_Burrow_Volume_09_HU02_900_1212_313_000.tifBurrow_Volume_09_HU02_900_1212_313_312.tif
2510Rep_03Hediste diversicolor12201235854854Species_HedisteBurrow_Volume_10_HD03Burrow_Volume_10_HD03_1220_1235_854_Burrow_Volume_10_HD03_1220_1235_854_000.tifBurrow_Volume_10_HD03_1220_1235_854_853.tif
2811Rep_03Hydrobia ulvae11291188332332Species_HydrobiaBurrow_Volume_11_HU03Burrow_Volume_11_HU03_1129_1188_332_Burrow_Volume_11_HU03_1129_1188_332_000.tifBurrow_Volume_11_HU03_1129_1188_332_331.tif
3812Rep_04Mixed species12281223879879Species_MixedBurrow_Volume_12_Mx04Burrow_Volume_12_Mx04_1228_1223_879_Burrow_Volume_12_Mx04_1228_1223_879_000.tifBurrow_Volume_12_Mx04_1228_1223_879_878.tif
2213Rep_04Hediste diversicolor12361222943943Species_HedisteBurrow_Volume_13_HD04Burrow_Volume_13_HD04_1236_1222_943_Burrow_Volume_13_HD04_1236_1222_943_000.tifBurrow_Volume_13_HD04_1236_1222_943_942.tif
2714Rep_04Hydrobia ulvae12041151305305Species_HydrobiaBurrow_Volume_14_HU04Burrow_Volume_14_HU04_1204_1151_305_Burrow_Volume_14_HU04_1204_1151_305_000.tifBurrow_Volume_14_HU04_1204_1151_305_304.tif
3515Rep_03Corophium volutator12041191252252Species_CorophiumBurrow_Volume_15_CV03Burrow_Volume_15_CV03_1204_1191_252_Burrow_Volume_15_CV03_1204_1191_252_000.tifBurrow_Volume_15_CV03_1204_1191_252_251.tif
3216Rep_04Corophium volutator12011168274274Species_CorophiumBurrow_Volume_16_CV04Burrow_Volume_16_CV04_1201_1168_274_Burrow_Volume_16_CV04_1201_1168_274_000.tifBurrow_Volume_16_CV04_1201_1168_274_273.tif
3717Rep_05Mixed species12281244981981Species_MixedBurrow_Volume_17_Mx05Burrow_Volume_17_Mx05_1228_1244_981_Burrow_Volume_17_Mx05_1228_1244_981_000.tifBurrow_Volume_17_Mx05_1228_1244_981_980.tif
3318Rep_05Corophium volutator11791195332332Species_CorophiumBurrow_Volume_18_CV05Burrow_Volume_18_CV05_1179_1195_332_Burrow_Volume_18_CV05_1179_1195_332_000.tifBurrow_Volume_18_CV05_1179_1195_332_331.tif
2619Rep_05Hydrobia ulvae12071140335335Species_HydrobiaBurrow_Volume_19_HU05Burrow_Volume_19_HU05_1207_1140_335_Burrow_Volume_19_HU05_1207_1140_335_000.tifBurrow_Volume_19_HU05_1207_1140_335_334.tif
2120Rep_05Hediste diversicolor12351218859859Species_HedisteBurrow_Volume_20_HD05Burrow_Volume_20_HD05_1235_1218_859_Burrow_Volume_20_HD05_1235_1218_859_000.tifBurrow_Volume_20_HD05_1235_1218_859_858.tif
There are no limitations on data use.

Additional Information

Tables 1,2,3 are only available in the online version of this paper. How to cite this article: Hale, R. et al. High-resolution computed tomography reconstructions of invertebrate burrow systems. Sci. Data 2:150052 doi: 10.1038/sdata.2015.52 (2015).
  11 in total

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Journal:  Biol Psychiatry       Date:  2004-11-01       Impact factor: 13.382

2.  Burrowing mechanics: burrow extension by crack propagation.

Authors:  Kelly M Dorgan; Peter A Jumars; Bruce Johnson; B P Boudreau; Eric Landis
Journal:  Nature       Date:  2005-02-03       Impact factor: 49.962

3.  Deformational mass transport and invasive processes in soil evolution.

Authors:  G H Brimhall; O A Chadwick; C J Lewis; W Compston; I S Williams; K J Danti; W E Dietrich; M E Power; D Hendricks; J Bratt
Journal:  Science       Date:  1992-02-07       Impact factor: 47.728

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Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

Review 5.  Imaging in the era of molecular oncology.

Authors:  Ralph Weissleder; Mikael J Pittet
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

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Journal:  Nat Rev Neurosci       Date:  2009-02-04       Impact factor: 34.870

7.  Biological solutions to transport network design.

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10.  Characterizations of how species mediate ecosystem properties require more comprehensive functional effect descriptors.

Authors:  R Hale; M N Mavrogordato; T J Tolhurst; M Solan
Journal:  Sci Rep       Date:  2014-09-24       Impact factor: 4.379

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2.  Ecosystem engineers drive differing microbial community composition in intertidal estuarine sediments.

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