Oct 20, 2022
Version 2
The role of artificial contact materials in experimental use-wear studies - "artificial vs. natural experiment" V.2
- 1TraCEr, Laboratory for Traceology and Controlled Experiments at MONREPOS Archaeological Research Centre and Museum for Human Behavioural Evolution, RGZM, Neuwied, Germany;
- 2Imaging Lab, LEIZA;
- 3Institute for Prehistoric and Protohistoric Archaeology, Johannes Gutenberg University, Mainz, Germany;
- 4ICArEHB, Interdisciplinary Center for Archaeology and Evolution Human Behaviour, University of Algarve, Faro, Portugal
Protocol Citation: Lisa Schunk, Walter Gneisinger, Ivan Calandra, Joao Marreiros 2022. The role of artificial contact materials in experimental use-wear studies - "artificial vs. natural experiment" . protocols.io https://dx.doi.org/10.17504/protocols.io.eq2lyn91pvx9/v2Version created by Lisa Schunk
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: September 27, 2022
Last Modified: May 22, 2023
Protocol Integer ID: 70550
Keywords: controlled experiments, surface texture analysis, traceology, contact material, variable control, standardisation, edge angle
Abstract
The sequential "artificial vs. natural experiment" described here aimed at investigating use-wear formation on two different raw materials when unidirectional cutting movements were performed on hard as well as on soft contact materials. Simultaneously, artificial contact materials were tested as a controlled proxy within the experimental design
To limit the number of confounding factors, the samples are standardised and the experiment was performed with a mechanical device.
Protocol materials
AccuTrans AB, brown ColteneCatalog #3700
Step 5
Acetone ≥99.5 %Carl RothCatalog #5025.6
In 2 steps
aloe vera sensitive detergent Frosch (R)Catalog #-
Step 5
Isopropanol 70% Carl RothCatalog #CN09.4
Step 5
Hydrogen peroxide solution 3%Otto Fischar GmbH & Co. Kg
Step 5
Technovit Provil Light regularKulzer GmbHCatalog #66009333
Step 5
Plurafac LF 901BTC Europe GmbH, Rheinpromenade 1, D-40789 MonheimCatalog #-
In 2 steps
Modified bone-like polyurethane coated with rubber skinSYNBONE®Catalog #PR0114.G
Step 2.2
soft tissue pad with matrix SYNBONE®Catalog #PR1043.10
Step 2.2
Sample preparation
Sample preparation
10m
10m
Standardised tools
12 x 60 ° Baltic flint sample
12 x 60 ° silicified schist sample
Raw material
Baltic flint:
Southern Sweden (secondary deposit):
Silicified schist:
Balver Höhle (secondary deposit)
Buhlen (secondary deposit)
Blanks
Raw material nodules (step #1.1) were first cut into rectangular blanks of the following dimensions:
10 mm thickness
25 mm width
60 mm minimum length
Equipment
Goliath 450
NAME
Lapidary rock saw
TYPE
Steinschleifmaschinen & Lapidary tools Ltd.
BRAND
-
SKU
LINK
-
SPECIFICATIONS
a) cut 10 mm slices
Cutting slice (here: flint).
Cutting slice, with protective cover lifted for photo (here: flint).
First cut to provide level surface, photo with protective cover lifted (here: flint).
Slice, side view (here: flint).
Slice, top view (here: flint).
b) cut slices into blanks
Blank, top view (here: flint).
Blank, lateral view (here: flint).
Hardness measurement
The hardness of the blanks (step #1.2) was measured with a Leeb rebound hardness tester.
Equipment
Equotip 550
NAME
Portable hardness tester
TYPE
Proceq
BRAND
-
SKU
LINK
Leeb C probe
SPECIFICATIONS
The blanks were placed on a stable base (here a flat rock slab of about 20 kg ). Since the samples did not fulfill the requirements for minimum sample size and weight, an additional coupling paste was used to connect the sample with the base. Each blank was measured ten times to insure and test intra-blank variability.
Setup for measuring Leeb rebound hardness with the devices/components labeled.
Measuring Leeb rebound hardness.
Edge angle
One end of the blanks (step #1.2) was cut to produce tools with a 60 ° edge angle , with the following dimensions:
10 mm thickness
25 mm width
30 mm minimum length
Equipment
310 CP
NAME
Diamond band saw
TYPE
Exact
BRAND
-
SKU
LINK
Cutting edge angle.
Positioning blank, close-up (here: flint).
Cutting edge angle, close-up (here: flint).
Sample, view of side A (corresponding to the 'dorsal' side of bifacial lithic artefact; here: flint).
Sample, view of side D (corresponding to the 'lateral' side of bifacial lithic artefact; here: flint).
Chamfered edge
To avoid catastrophic breakage of the edge during experiments, the leading edge of the samples (step #1.4) was chamfered at 45 ° edge angle .
Equipment
310 CP
NAME
Diamond band saw
TYPE
Exact
BRAND
-
SKU
LINK
Cutting chamfered edge (here: flint).
The cut with the band saw left a small burr between the two adjacent surfaces at the edge of the chamfered surface and the lateral side D. This burr was manually removed with a mini diamond drill bit.
Not all 24 experimental standard samples were produced immediately. After the experiment was conducted with half of the samples, the length of the sample was reduced by removing a ~1 cm slice along the 60° leading edge to reveal a fresh, unused surface for a new cutting edge by repeating step 1.4 - 1.5. This way, 12 new samples could be produced without increasing raw material intra-variability.
Hatched line in red shows cutting plane to reveal new cutting edge and to preserve the previously used one, including coordinate beads on either side.
Coordinate system
3 ceramic beads were adhered onto each side of the cutting edge to produce a coordinate system on either side.
Final sample with beads, view of side A (corresponding to the 'dorsal' side of bifacial lithic artefact; here: flint).
Final sample with beads, view of side C (corresponding to the 'ventral' side of bifacial lithic artefact; here: flint).
For details, see:
CITATION
Cleaning
100 mL Cleaning solution
1 Mass / % volume
Plurafac LF 901ZeissCatalog #-
Equipment
Sonorex Digitec DT255H
NAME
Heated ultrasonic bath
TYPE
Bandelin
BRAND
-
SKU
LINK
4.5 L
SPECIFICATIONS
45 °C
00:10:00
10m
Contact materials
Contact materials
10m
10m
Hard and soft contact material
Four different contact material were used: two natural and two artificial contact materials.
Natural contact material
Cow scapula (Bos primigenius) was provided by a butcher in a fresh state. The periosteum and small pieces of flesh were still attached to the bone. The cutting experiment was carried out in a laboratory under ambient room temperature conditions. During the course of the experiment, the bone started to dry out but apart from desiccation no other degradation processes were visible. The bone was used as hard contact material.
Cow scapula horizontally fixed with three screws on the table.
Fresh pig skin (Sus scrofa domesticus) provided by a butcher by separating the skin from the flesh below. Experiments on the skin were conducted at room temperature. Overnight storage was executed in a refrigerator. Two pieces of skin were needed during the course of the experiment. The skin was used as soft contact material.
Pig skin fixed with metal strips on the table.
Artificial contact material
Synthetic bone plate with a rubber skin layer (imitating periosteum) Modified bone-like polyurethane coated with rubber skinZeissCatalog #PR0114.G with the following dimensions:
250 mm length
250 mm width
6 mm thickness
Shore hardness (D): 78 ± 5 %
Bone plate coated with rubber skin.
Artificial skin soft tissue pad with matrix ZeissCatalog #PR1043.10 made of silicone ecoflex. The skin pad has the following dimensions:
140 mm length
130 mm width
4.2 mm thickness
Shore hardness (A): 0-3
Soft tissue pad.
Experimental setup
Experimental setup
10m
10m
General settings
Linear unidirectional cutting movements: 2000 strokes split in 4 cycles .
The cycles are defined by the follwing number of strokes:
1 strokes to 50 strokes
51 strokes to 250 strokes
251 strokes to 1000 strokes
1001 strokes to 2000 strokes
Note: the stroke movement length on the soft contact material (and for some samples on the fresh cow scapula) was half the length compared to the stroke movement length on the hard contact material. In thoses cases, the number of strokes was doubled.
Experimental setup
Equipment
SMARTTESTER
NAME
Modular material tester
TYPE
Inotec AP
BRAND
-
SKU
LINK
recorded values with the time stamps:
- for each drive: position, speed, acceleration, force (as measured through the drive's current usage)
- penetration depth with extra sensor
- apllied force with extra sensor
- friction with extra sensor
SPECIFICATIONS
Linear movement from start point to end point:
2 kg dead weights (soft contatct material) / 6 kg dead weights (hard contact materials)
100 mm movement length (soft contact materials) / 200 mm movement length (hard contact materials)
600 mm/s movement speed
4000 mm/s2 movement acceleration
10 Hz reading frequency (for each data channel)
Experimental design.
Setup sample holder
The length of the spring on the sample holder was adjusted to compensate for the weight of the sample holder itself (without dead weights and sample).
Adjust the position of the spring attachment on the rail, so that:
- the sample holder almost touches the frame, and
- at the same time, there should be no pull from the spring against the sample holder frame.
Zeroing sample holder.
Setup sample
The sample (step #1) was clamped in the sample holder (SMARTTESTER) and manually orientated (i.e. angles corrected and standardised) in all directions.
The cutting edge was parallel to the plane of the contact material (90 ° cutting angle )
Sample positioned for the experiment to begin.
Setup contact material
The contact materials were fixed onto the table in different ways. Each method guaranteed that the contact material could not move during the experiment. Additionally, after removing the contact material for scanning or overnight storage, repeated identical positioning was possible. The materials were aligned with the X-axis.
a) cow scapula
The cow scapula was aligned horizontally and fixed with three bolts on a wooden base (see images in steps #2.1 and #4.2). The wood itself was fixed with screw clamps to the table.
b) pig skin
The pig skin was fixed with two perforated metal strips on a wooden base (see image in step #2.1), which was fixed with screw clamps to the table.
c) bone plate
The bone plate (step #2) was clamped around the edges in a custom-made sample holder and fixed with a screw in the middle of the bone plate.
d) soft tissue pad
The soft tissue pad was attached with a double-sided adhesive tape to a plastic cutting board. The board itself was fixed with screw clamps to the table.
Bone plate with the sample holder (wooden frame).
Soft tissue pad clued to the cutting board.
Program cutting movement
For each sample, a new template was created (named with the sample ID and the stroke number).
a) Move down in Z-direction to start position
The z-value of the starting point was defined as follows: the z-drive was moved down slowly until the edge of the tool was in contact with the contact material. A few extra mm (e.g. 5 mm for the bone plate) were added to the position of the z-drive in order to give the tool the possibility to penetrate into the contact material without cutting through it.
b) Move forward in X-direction 100 mm / 200 mm (linear movement)
c) Move up in Z-direction approx. 20 mm (above bone plate; no contact between contact material and tool)
d) Move backward in X-direction to starting point
e) Loop 50 times over steps #4.1a-4.1d and export data to CSV
f) Loop 200 times over steps #4.1a-4.1d and export data to CSV
g) Loop 750 times over steps #4.1a-4.1d and export data to CSV
h) Loop 1000 times over steps #4.1a-4.1d and export data to CSV
The experiment was planned as a sequential experiment. The 2000 strokes were therefore split into four sequences (steps #4.1e-h). The tools were documented after each sequence (step #5).
For each sequence, five CSV files were exported, one for each recorded data channel:
- Sample penetration depth into contact material as measured by the distance sensor in the sample holder.
- Force applied (Z-direction) as measured by the force sensor in the sample holder with affixed dead weights.
- Friction as measured by the force sensor in x-direction between the stage and the fixed stage frame (between mounted contact material and sample).
- Position of the X-drive (travel range).
- Velocity of the X-drive.
Program as seen in the GUI. Blue = sensors, red = actuators (drives) and green = control flow elements.
cutting_template.Smart Run program
- Each sample was used over a duration of ~ 07:00:00 (= running time SMARTTESTER)
The following samples were used for the experiment:
a) cow scapula
FLT4-6
FLT4-14
FLT4-15
LYDIT4-5
LYDIT4-7
LYDIT4-12
b) pig skin
FLT4-4
FLT4-12
FLT4-13
LYDIT4-1
LYDIT4-4
LYDIT4-6
c) bone plate
FLT4-10
FLT4-7
FLT4-5
LYDIT4-2
LYDIT4-3
LYDIT4-8
d) soft tissue pad
FLT4-11
FLT4-12
FLT4-13
LYDIT4-9
LYDIT4-10
LYDIT4-11
Sample documentation
Sample documentation
10m
10m
Sample documentation
Before the experiment, as well as after each cycle, all 24 samples were documented in an identical way following these steps:
- cleaning with tap water and comercial washing up liquid
- weight measurement (threefold repetition)
Equipment
Kern PCB 3500.2
NAME
weighing scale
TYPE
Kern
BRAND
-
SKU
LINK
accuracy of 0.1g
SPECIFICATIONS
- 3D scanning (identical settings for all scans)
Equipment
smartScan-HE R8
NAME
3D structured light scanner
TYPE
AICON
BRAND
-
SKU
LINK
S-150 FOV, resolution of 33 µm
SPECIFICATIONS
- cleaning with tap water and comercial washing up liquid
- optical documentation of three of the four surfaces per sample (one lateral and the two main surfaces)
Equipment
Smartzoom 5
NAME
digital microscope
TYPE
ZEISS
BRAND
-
SKU
LINK
1.6x objective; EDF-stitching images
SPECIFICATIONS
- cleaning the area of interest with a cotton stick with Isopropanol 70% ZeissCatalog #CN09.4
- cleaning the area of interest with a cotton stick withAcetone ≥99.5 %ZeissCatalog #5025.6
Note
The cleaning protocol differed for samples used on fresh natural bone. The presumed presence of
lipids and collagen in addition to abraded mineral particulates was considered to act as a binder with adhesive properties. Therefore the use of a cleaning agent containing enzymes such as lipase and protease was considered instead of harsher treatments such as alkalies or acid hydrolysis.
Additional cleaning for the samples used on natural bone only:
- 100 mL Cleaning solution
1 Mass / % volume
Plurafac LF 901ZeissCatalog #-
Equipment
Sonorex Digitec DT255H
NAME
Heated ultrasonic bath
TYPE
Bandelin
BRAND
-
SKU
LINK
4.5 L
SPECIFICATIONS
45 °C
00:15:00
- 3x 100 µL tap water to rinse
- 1x 100 µL destilled water to rinse
- air-drying using compressed air from oil-free compressor
- localised brushing (soft bristle brush) withAcetone ≥99.5 %ZeissCatalog #5025.6
- localised brushing with Hydrogen peroxide solution 3%Zeiss
- 14.5 g aloe vera sensitive detergent ZeissCatalog #- (This was a readily available commercial substitute for more difficult to obtain enzymes and should not serve as a general product recommendation as it contains other ingredients tailored to general household applications)
Equipment
Sonorex Digitec DT255H
NAME
Heated ultrasonic bath
TYPE
Bandelin
BRAND
-
SKU
LINK
4.5 L
SPECIFICATIONS
45 °C
00:30:00
- 3x 100 µL tap water to rinse
- 1x 100 µL destilled water to rinse
- air-drying using compressed air from oil-free compressor
It should be noted that this cleaning procedure was used as an alternative to a more extreme procedure (e.g., use of acid), since the effects of certain chemical on the micro surface texture are not fully known yet (especially not for silicified schist).
To verify that no residues were attached to the sample surface anymore, selected samples used on natural bone were analysed with an SEM/EDX for elemental composition.
Equipment
SEM ZEISS EVO 25 + Bruker Quantax XFlash 6|30M
NAME
scanning electron microscope + EDX detector
TYPE
ZEISS
BRAND
-
SKU
LINK
Per sample and spot, several measurements covering the different phases were acquired with the EDX detector where use-wear was visible, using the Objects workspace in the Bruker Esprit 2.3 software.
The images were acquired with the following settings:
- Detector: HDBSD (back-scattered electron detector).
- High vacuum.
- Magnification: 100 or 150×, as shown on the image. The value is relative to the Polaroid 545 reference.
- Accelerating voltage (EHT): 10 kV, as shown on the image.
- Working distance: 7.8-8 mm, as shown on the image.
- Image size: 1200 × 900 pixels.
- Pixel size: 0.97 µm.
- Dwell time: 8 µs.
- Beam current (I Probe): 200 pA.
BSD image of sample FLT4-14. Locations of the individual EDX measurements are indicated in orange.
EDS spectra were acquired with the following settings:
- EDS calibration was first checked on a piece of copper tape. Deviation was less than +/- 5 eV.
- Rectangular objects were drawn at the regions of interest on the BSD image.
- Duration: the Precise setting was used, i.e. each location was measured until at least 250,000 counts were measured.
- The input count rate was around and pulse throughput was set at 60 kcps (the lowest available), resulting in dead time ≤ 3 % and live time 45-60 s.
- Maximum energy was set to 20 keV.
Results of the EDX analysis of sample FLT4-14 measurement 1. Neither calcium nor phosphorus have been detected on the surface, indicating that the surface is not contaminated with bone residues.
EDS spectra were quantified with the following procedure:
- An automatic identification of the peaks was performed.
- Background fit regions were automatically selected.
- The X and Y axes were expanded to check if unidentified peaks are still present, starting from the highest accelerating voltage. If yes, the region around the peak is selected and the element finder is used to identify the peak. The fit is visually examined to check if the identified element correspond to the peak.
- Background fit regions were automatically selected.
- Background fit was visually examined to check that it fits the spectrum.
EDS spectra were quantified with the following settings:
- Carbon and oxygen were used for peak deconvolution only, i.e. their concentrations are not included in the final quantitative elementar compositions.
- Background fit model: physical (SEM).
- Deconvolution settings: Series fit, i.e. the line intensity ratios within a line family based on physical properties are used for the deconvolution.
- Quantification model: P/B-ZAF.
- No charging was observed: counts were measured across the whole range of accelerating voltage (this was checked visually using the logarithmic scaling of the spectra).
Exemplarily, the results of the quantification of sample FLT4-14.
After cleaning, all samples were documented with moulding material:
- moulding of the two main sample surfaces
Technovit Provil Light regularZeissCatalog #66009333 ; on some occasions,
AccuTrans AB, brown ZeissCatalog #3700 was used additionally
Moulding of one of the two surfaces (here: flint).
45m
Data acquisition
Data acquisition
10m
10m
Data acquisition: edge angle
The 3D models (samples + contact material) were imported as STL files into GOM and existing mesh holes were closed. Based on the closed models, the volume could be calculated.
Software
GOM Inspect
NAME
Hotfix 2, Rev. 111729, build 2018-08-22
OS
GOM
DEVELOPER
Additionally, the edge angles of the samples were calculated by means of GOM.
- the edge of each sample was defined by a digital line
- the "2-lines" procedure of the edge angle calculation method was applied
CITATION
Data acquisition: qualitative use-wear analysis
a) data acquisition on all 24 samples
All samples were checked for use-wear on both sample sides (A and C; see section #1.7), respectively. First, each sample exposed to 2000 strokes was checked to localise areas of wear, then the corresponding areas on the sample in the state before the experiment was conducted.
b) data acquisition on eight selected samples
In a second step, four flint and four silicified schist samples were selected. Each of the four samples per raw material was tested on a different contact material: bone cow scapula, bone plate, pig skin and skin pad. This time the samples were analysed before and after each cycle.
Acquisition settings
The qualitative use-wear analysis was done in a high-power approach by means of an upright light microscope (ZEISS Axio Scope.A1 MAT). The samples were studied using EC-Epiplan 5x/0.13, 10x/0.25 and 20x/0.40 objectives. Traces were documented as an EDF black and white image.
Equipment
Axio Scope.A1 MAT
NAME
Upright light microscope RL
TYPE
ZEISS
BRAND
-
SKU
LINK
Data acquisition: quantitative use-wear analysis
a) data acquisition on all 24 samples
First, the last state of the samples (after 2000 cutting strokes) was analysed. The samples were analysed for use-wear and within the use-wear, 3D surface data was acquired. Those exact three spots were analysed then also on the samples from before the first cycle (0 strokes), respectively.
Per sample, three surfaces per tool were acquired on the same use-wear area, but on non identical areas. Here, "surface" refers to the result of the acquisition, i.e. a 2.5 D image. The thee surfaces per sample are called "spot A", "spot B" and "spot C".
All surfaces were acquired on the flat side of the tools, i.e. side C (see section #1.7).
3 surfaces per tool +
× 24 tools
x 2 cycles (before + 2000 strokes)
= 144 surfaces acquired
b) data acquisition on eight selected samples
In a second step, the same eight samples as described in step #7 b) were quantitatively analysed. The data acquisition was identical to #a). However, this time the samples were analysed before and after each cycle.
3 surfaces per tool +
× 8 tools
x 5 cycles (before + 50 + 250 + 1000 + 2000 strokes)
= 120 surfaces acquired
The majority of samples was studied as moulds (see step #5).
Acquisition settings
Equipment
LSM 800 MAT
NAME
Confocal microscope
TYPE
Carl Zeiss Microscopy
BRAND
-
SKU
LINK
Mounted on an Axio Imager.Z2 Vario
SPECIFICATIONS
AU = Airy Unit, NA = numerical aperture, WD = working distance
Acquisition workflow
For each sample:
a) Calibrate coordinate system with 10× objective in WF mode, see:
CITATION
b) Find location using 10× and 20× objectives in WF mode.
c) Acquire z-stack for topography with the 50×/0.95 objective in LSM mode (alternative: 20×/0.75 objective). Process z-stack for topography without noise cut. Save the result as a SUR surface (= "Spot A").
d) Repeat steps b) and c) two more times to measure non-identical spots within the same use-wear trace on the sample (= "Spot B" and "Spot C").
d) Acquire z-stack for black and white image at the same location with the same objective in WF mode and defining a 2×2 tile region (because the field of view is smaller in WF than in LSM mode, due to the 0.5× zoom). Process z-stack into EDF image and stitch it. Save the result as a PNG image.
e) Acquire z-stack for black and white image of the same location (entire use-wear) with the 10× objective and 20× in WF mode and defining a 2×2 / 2×1 tile region. Process z-stack into EDF image and stitch it. Save the result as a PNG image.
Processing for step #8.2d/e has been done in batch with a macro in ZEN blue.
Data analysis
Data analysis
10m
10m
Processing workflow quantitative use-wear analysis
The data acquired with the confocal microscope was processed in batch with templates in ConfoMap. For the analysed samples described in step #8a) the templates desribes as a), b) and d) have been used; for the samples described in step #8b) the templates a), b) c) and d) have been used instead.
Software
ConfoMap (MountainsMap Imaging Tophography)
NAME
Digital Surf, Besançon, France
DEVELOPER
a) "mirroring template"
For the data acquired on moulds, an intital template was needed. Moulds always just display a mirrored version of the original surfaces. Therefore, the acquired surfaces needed to be mirrored in order to match the original surface again.
mirroring_FLT4-7.pdf b) “aligning template”
A series of surfaces was built using the module "4D series" for ConfoMap. The coordinate system using the three beads (see step #1.7) repositioned the sample after each experimental cycle in order to acquire the same surface; nevertheless, this repositioning is not exact. This template allowed an exact repositioning and perfectly complements the coordinate system: the alignment in ConfoMap works only if the surfaces are similar enough and the more similar, the better. This way, the surfaces from identical samples measured after varying cycles within the experiment were compiled and aligned as precisely as possible.
aligning_FLT4-7.pdf c) “resampling template”
A resampling in x and y on all 144 + 120 surfaces was performed, leading to an identical spacing. The template was necessary due to the different objectives used during data acquisition. After applying this template, all surfaces had the same size of 254.0 x 253.9 µm and 1198 x 1198 pixels.
resampling_FLT4-7.pdf d) “processing template”
In a final step, the data was processed. The following procedure was performed:
I. Levelling (least squares method by subtraction)
II. Form removal (polynomial of degree3)
III. Outliers removal (maximum slope of 80°)
IV. Thresholding the surface between 0.1 and 99.9 % material ratio to remove the aberrant positive and negative
spikes
V. Applying a robust Gaussian low-pass S-filter (S1 nesting index = 0.425 µm, corresponding to about 5 pixels, end
effects managed) to remove noise
VI. Filling-in the non-measured points (NMP), VII.) Analysis: Calculation of 21 ISO 25178-2:2012 (International
Organization for Standardization, 2012) parameters, 3 furrow parameters, 3 texture direction parameters, 1
texture isotropy parameter and the scale-sensitive fractal analysis (SSFA) parameters epLsar, NewEplsar, Asfc,
Smfc, HAsfc9 and HAsfc81
processing _FLT4-7.pdf The ConfoMap templates for each surface in MNT and PDF formats are available on Zenodo (10.5281/zenodo.6642970). This also includes all original and processed surfaces, as well as the results.
Data analysis
The processed data was statistically analysed with R.
Software
R Studio Desktop
NAME
The R Studio, Inc.
DEVELOPER
The analysis was separated into the two datasets:
a) all 24 samples from before and after 2000 strokes (called "analysis_before.after")
b) selected eight samples from all cycles (called "analysis_all.cylces")
Available in open access on Zenodo: 10.5281/zenodo.7229814
Citations
Step 1.7
Calandra I, Schunk L, Rodriguez A, Gneisinger W, Pedergnana A, Paixao E, Pereira T, Iovita R & Marreiros J. Back to the edge: relative coordinate system for use-wear analysis
https://doi.org/10.1007/s12520-019-00801-yStep 6
Schunk et al., in prep.. A new semi-automated 3D digital method to quantify stone tool edge angle and design
Step 8.2
Calandra I, Schunk L, Rodriguez A, Gneisinger W, Pedergnana A, Paixao E, Pereira T, Iovita R & Marreiros J. Back to the edge: relative coordinate system for use-wear analysis
https://doi.org/10.1007/s12520-019-00801-y