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8,547 results for “Characterization”

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zenodo40/100

FIG. 16 in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves

FIG. 16. — Archaeological shells with use-wear traces on the edge (Cuccuru s'Arriu, Cabras, Italy). A, valve with use-wear traces (B, C, D) related to contact with a mineral matter, clay; E, Valve with use-wear traces (F, G, H) related to the contact with indeterminate mineral matter. Scale bars: 100 µm.

opencc-by-4.0Dec 2016View details →
zenodo40/100

FIG. 7. — A, B in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves

FIG. 7. — A, B, experimental shell surface used to process clay with the dorsal face of valves (smoothing; 15 minutes); C, D, experimental shell surface used to process clay with the edge of valves (smoothing; 15 minutes); E-G, experimental shell surface used to process clay with the dorsal face of valves (smoothing; 1 month). Scale bars: 100 µm.

opencc-by-4.0Dec 2016View details →
zenodo40/100

AWARE characterization factor samples

<p>Files contain 5000 samples of AWARE characterization factors, as well as sampled independent data used in their calculations and selected intermediate results.</p> <p>AWARE is a consensus-based method development to assess water use in LCA. It was developed by the&nbsp;<a href="http://www.wulca-waterlca.org/index.html">WULCA UNEP/SETAC working group</a>. Its characterization factors represent the relative Available WAter REmaining per area in a watershed, after the demand of humans and aquatic ecosystems has been met. It assesses the potential of water deprivation, to either humans or ecosystems, building on the assumption that the less water remaining available per area, the more likely another user will be deprived.</p> <p>The code used to generate the samples can be found here:&nbsp;<a href="https://github.com/PascalLesage/aware_cf_calculator/">https://github.com/PascalLesage/aware_cf_calculator/</a></p> <p>Samples were updated from v1.0 in 2020 to include model uncertainty associated with the choice of&nbsp;WaterGap as the global hydrological model (GHM).</p> <p>The following datasets are supplied:</p> <p><strong>1) AWARE_characterization_factor_samples.zip</strong></p> <p>Actual characterization factors resulting from the Monte Carlo Simulation. Contains 4 zip files:</p> <p>&nbsp; &nbsp; *&nbsp;monthly_cf.zip: contains 116,484 arrays of 5000 monthly characterization factor samples for each of 9707 watershed and for each month, in csv format. Names are cf_&lt;BAS34S_ID&gt;_&lt;MONTH&gt;.csv, where &lt;BAS34S_ID&gt; is the watershed id and &lt;MONTH&gt; is the first three letters of the month (&#39;jan&#39;, &#39;feb&#39;, etc.).</p> <p>&nbsp; &nbsp; *&nbsp;average_agri_cf.zip: contains 9707&nbsp;arrays of 5000 annual average, agricultural use,&nbsp;characterization factor samples for each watershed, in csv format. Names are cf_average_agri_&lt;BAS34S_ID&gt;.csv.</p> <p>&nbsp; &nbsp; *&nbsp;average_non_agri_cf.zip: contains 9707&nbsp;arrays of 5000 annual average, non-agricultural use,&nbsp;characterization factor samples for each watershed, in csv format. Names are cf_average_non_agri_&lt;BAS34S_ID&gt;.csv.</p> <p>&nbsp; &nbsp; *&nbsp;average_unknown_cf.zip: contains 9707&nbsp;arrays of 5000 annual average, unspecified&nbsp;use,&nbsp;characterization factor samples for each watershed, in csv format. Names are cf_average_unknown_&lt;BAS34S_ID&gt;.csv..</p> <p><strong>2) AWARE_base_data.xlsx</strong>&nbsp;</p> <p>Excel file with the deterministic data, per watershed and per month, for each of the independent variables used in the calculation of AWARE characterization factors. Specifically, it includes:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; Monthly irrigation<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: irrigation water, per month, per basin<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: m3/month<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: Irrigation<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: irrigation.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: (11050, 12)</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; Non-irrigation hwc: electricity, domestic, livestock, manufacturing<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: non-irrigation uses of water<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: m3/year<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: hwc_non_irrigation<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: electricity.pickle, domestic.pickle,<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; livestock.pickle, manufacturing.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: 3 x (11050,)</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; avail_delta<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: Difference between &quot;pristine&quot; natural availability<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; reported in PastorXNatAvail and natural availability calculated<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; from &quot;Actual availability as received from WaterGap - after<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; human consumption&quot; (Avail!W:AH) plus HWC.<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; This should be added to calculated water availability to<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; get the water availability used for the calculation of EWR<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: m3/month<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: avail_delta<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: avail_delta.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: (11050, 12)</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; avail_net<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: Actual availability as received from WaterGap - after human consumption<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: m3/month<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: avail_net<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: avail_net.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: (11050, 12)</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; pastor<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: fraction of PRISTINE water availability that should be reserved for environment<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: unitless<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: pastor<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: pastor.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: (11050, 12)</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; area<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Description: area<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unit: m2<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location in Excel doc: area<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; File name once imported: area.pickle<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; table shape: (11050,)<br> It also includes:</p> <p>* information (k values) on the distributions used for each variable (uncertainty tab)</p> <p>* information (k values) on the model uncertainty (model uncertainty tab)</p> <p>* two filters used to exclude watersheds that are either in Greenland (polar filter) or without data from the Pastor et al. (2014) method (122 cells), representing small coastal cells with no direct overlap (pastor filter). (filters tab)</p> <p><strong>3) independent_variable_samples.zip</strong></p> <p>Samples for each of the independent variables used in the calculation of characterization factors. Only random variables are contained. For all watershed or watershed-months without samples, the Monte Carlo simulation used the deterministic values found in the&nbsp;AWARE_base_data.xlsx file.&nbsp;</p> <p>The files are in csv format. The first column contains the watershed id (BAS34S_ID) if the data is annual or the (BAS34S_ID, month) for data with a monthly resolution. the other 5000 columns contain the sampled data.</p> <p>The names of the files are &lt;variable_name.csv&gt;.</p> <p><strong>4) intermediate_variables.zip</strong></p> <p>Contains results of intermediate calculations, used in the calculation of characterization factors. The zip file contains 3&nbsp;zip files:</p> <p>&nbsp; &nbsp; * AMD_world_over_AMD_i.zip: contains&nbsp;116,484 arrays (for each watershed-month) of 5000 calculated values of the ratio&nbsp;between the AMD (Availability Minus Demand) for the watershed-month and AMD_glo, the world weighted AMD average. Format is csv.<br> &nbsp; &nbsp; * AMD_world.zip: contains one array of 5000 calculated values of the world average AMD. Format is csv.</p> <p>&nbsp; &nbsp; * HWC.zip:&nbsp;&nbsp;contains&nbsp;116,484 arrays (for each watershed-month) of 5000 calculated values of the total Human Water Consumption. Format is csv.</p> <p><strong>5) watershedBAS34S_ID.zip</strong></p> <p>Contains the GIS files to link the watershed ids (BAS34S_ID) to actual spatial data.&nbsp;</p>

opencc-by-4.0Sep 2019View details →
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Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea

<p>This data submission is connected to a scientific paper submitted to<br> &nbsp;Atmospheric Chemistry and Physics (&quot;Measurement report: Characterization of uncertainties of fluxes and fuel sulfur content from ship emissions at the Baltic Sea&quot; by Walden et al.). It consists of measurement results conducted beside the ship routs at the Baltic Sea near Helsinki, Finland. The gaseous and particle concentrations were measured along with the meteorological parameters, and the fluxes were calculated by the micrometeorological methods. The content of sulfur in the marine fuel, FSC, used by the passing ships was also calculated. We paid attention to calculate the uncertainties of the measurement results, both for the fluxes and for the FSC.</p> <p>The released data of:<br> &nbsp;1. Gases, particles and met data (SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles) as minute values. &nbsp;&nbsp;</p> <p>Data_ACP_Fig4_acbd.xlsx.</p> <p>&nbsp;<br> &nbsp;2. Size distribution of nanoparticles (number concentration of nanoparticles at size class). Data_ACP_Fig6.xlsx</p> <p>&nbsp;<br> &nbsp;3. Profiles of 30 min averages of gases, nanoparticles and meteorological parameters &nbsp;(SO<sub>2</sub>, NO, NO<sub>2</sub>, O<sub>3</sub>, CO<sub>2</sub>, and N<sub>tot</sub> (number concentration of nanoparticles), wind direction and wind speed, friction velocity, stability parameter and Monin-Obukhov length. Calculated values of atmospheric turbulence parameters and calculated fluxes of CO2 and nanoparticles by gradient and/or eddy covariance method.</p> <p>Data_ACP_Fig8_abcd_Fig9_abcd.xlsx<br> &nbsp;<br> &nbsp;4. CO2 fluxes by Eddy covariance method from land based and sea based measurements. Concentration of CO2 in seawater and in air.</p> <p>Data_ACP_Fig10_ab.xlsxEngl</p>

opencc-by-4.0Jan 2021View details →
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FIG. 6 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 6. — Non-osmophoric papillae in genera of Onoserideae: A, sinus between two lobes of the central corolla in Aphyllocladus denticulatus Hieron., showing papillae with negative reaction for starch test (IKI); B, two lobes of the central corolla in Gypothamnium pinifolium Phil., with apical and marginal papillae, several of them secreting drops (arrow) and negatively reacting for starch test (IKI); C, lobe of the central corolla in Lycoseris trinervis (D. Don) S.F. Blake, note the papillae with lipophilic content (ORO); D, tooth margin of the marginal corolla in Onoseris hastata Wedd., note the papillae with lipophilic content (ORO); E, lobe apex of the central corolla in Urmenetea atacamensis Phil., note the short, rounded papillae with striate cuticle (NR). A, Ricardi 3674 (LP); B, Roig Juñent 22 (LP); C, Sagástegui 6867 (LP); D, Fabris 6157 (LP); E, Cabrera et al. 22543 (LP). Scale bars: A, 100 µm; B, 250 µm; C-E, 50 µm.

opencc-by-4.0Sep 2020View details →
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FIG. 4 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 4. — Osmophoric glands in Famatinanthus and Plazia: A, B, Famatinanthus decussatus (Hieron.) Ariza &amp; S.E. Freire; A, central corolla showing osmophores at the apex of the lobes (stereomicroscopic image); B, apex of one lobe of the central corolla showing the reddish osmophore (Safranin); C, D, Plazia daphnoides Wedd.; C, apex of the 3-dentate outer lip of the marginal corolla showing the osmophores with a strong positive reaction for NR (stereomicroscopic image); D, apex of one lobe of the central corolla showing the osmophore (Safranin); E, longitudinal section of one lobe of the central corolla of Famatinanthus decussatus, showing the apical gland and the tissues (Safranin-Fast Green); F-H, Plazia daphnoides; F, longitudinal section of one lobe of the central corolla, showing part of the apical gland, note the vascular tissue mainly constituted by xylem vessels and some phloem elements (arrow) (Nile blue); G, transection at the apex of the outer lip of the marginal corolla, note the three osmophoric glands protruding on the surface (Safranin- Astra Blue); H, longitudinal section of one lobe apex of the central corolla, showing the vascular tissue of the osmophoric gland (Safranin); I, J, Famatinanthus decussatus; I, transection of the osmophoric gland, note the reddish color of the papillae and the parenchyma showing the secretory function of both tissues (TIOFH3); J, detail of the previous figure (TIOFH3), note the red content of the cells and the vascular tissue.Abbreviations: OS, osmophore; PP, papillose epidermis; SP, secreting parenchyma; VT, vascular tissue. A, B, E, I, J, Funk &amp; Bonifacino 13233 (LP); C, G, Ruthsatz s.n. (LP s.n.); D, Cabrera 8331 (LP); F, H, Rauh P423 (LP). Scale bars: A, C, 500 µm; B, E, I, J, 120 µm; D, 0.25 mm; F, 50 µm; G, 250 µm; H, 110 µm; J, 60 µm.

opencc-by-4.0Sep 2020View details →
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FIG. 2 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 2. — Diagrams showing the location of osmophores and non-osmophoric papillae in marginal, bilabiate corollas (A, C, E, G, I, K, M, P), in the central tubular corollas (B, D, F, H, J, L, N, Q), and in all tubular corollas (O) (only two of the five lobes are shown) of Famatinantheae and selected Onoserideae: A-D, osmophores; A, B, Famatinanthus decussatus (Hieron.) Ariza &amp; S.E. Freire; C, D, Plazia daphnoides Wedd.; E-Q, non-osmophoric papillae; E, F, Aphyllocladus spartioides Wedd.; G, H, Gypothamnium pinifolium Phil.; I, J, Lycoseris trinervis (D. Don) S.F. Blake; K, L, Onoseris gnaphalioides Muschl.; M, N, Onoseris drakeana André; O, Onoseris onoseroides (Kunth) B.L. Robinson; P, Q, Urmenetea atacamensis Phil. Dotted line, area of corolla incision; Red, osmophores; blue, starch; yellow, non-osmophoric papillae.

opencc-by-4.0Sep 2020View details →
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FIG. 5 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 5. — Osmophore elements in Famatinanthus and Plazia: A, two teeth of the marginal corolla showing the venation in Plazia daphnoides Wedd., note the two veins at each tooth margin joining at the apex (Safranin); B, sinus between the outer and the inner lips of the marginal corolla in Famatinanthus decussatus (Hieron.) Ariza &amp; S.E. Freire showing starch grains (IKI);C, D, Plazia daphnoides; C, transection of the marginal corolla showing stomata with large substomatal chambers (Safranin-Astra Blue); D, abaxial surface view of one sinus of the central corolla, showing numerous stomata (arrows) near the osmophoric area (Safranin); E, apex of one lobe of the central corolla in Famatinanthus decusssatus, showing one large stomata and a cluster of starch grains below (TIOFH3); F, G, Plazia daphnoides; F, detail of one corolla stoma at the sinus area (Safranin); G, detail of one corolla stoma showing starch content as dark dots (IKI).Abbreviations:SM, starch mass;ST, stomata;VE, vein.A, D, F, Ruthsatz s.n. (LP s.n.); B, E, Funk &amp; Bonifacino 13233 (LP); C, Rauh P423 (LP);G, Zöllner 4902 (LP). Scale bars: A, 750 µm; B, 150 µm; C, E, 125 µm; D, 200 µm; F, 23 µm; G, 50 µm.

opencc-by-4.0Sep 2020View details →
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FIG. 1 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 1. — Corolla parts mentioned in this contribution: A, opened bilabiate, marginal, corolla; B, opened, tubular, central corolla.

opencc-by-4.0Sep 2020View details →
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FIG. 3 in Structural and histochemical characterization of the osmophores in corollas of Asteraceae (tribes Onoserideae and Famatinantheae)

FIG. 3. — Osmophoric epidermis in Famatinanthus and Plazia: A, sinus between the outer and inner lips of the marginal corolla of Famatinanthus decussatus (Hieron.) Ariza &amp; S.E. Freire, note the strong positive reaction for NR; B-F, Plazia daphnoides Wedd.; B, sinus between two lobes of the central corolla showing numerous stomata (arrows) (TIOFH3); C, sinus between two lobes of the central corolla showing the reddish cluster of osmophoric papillae (ORO); D, abaxial view of one tooth of the marginal corolla showing the osmophore and two stomata (Safranin); E, papilla in the margin of one lobe of the central corolla, note the reddish secreting drop under the cuticle (ORO); F, papillae in the margin of a central corolla lobe, showing starch content as dark dots (IKI); G, lobe margin in the central corolla of Famatinanthus decussatus (Hieron.) Ariza &amp; S.E. Freire, showing a cluster of starch grains below the epidermis (TIOFH3); H, I, Plazia daphnoides Wedd.; H, papillae at the lobe apex of the central corolla, note the lipophilic content (ORO); I, papillae at the lobe margin of the central corolla, note the thick cell wall and the striate cuticle (ORO). Abbreviations: OS, osmophore; SM, starch mass; ST, stoma. A, G, Funk &amp; Bonifacino 13233 (LP); B, Ruthsatz s.n. (LP s.n.); C, Hunziker &amp; Caso 6154 (LP); D, Cabrera 8331 (LP); E, I, Rauh P423 (LP); F, H, Zöllner 4902 (LP). Scale bars: A, 150 µm; B, F, G, 100 µm; C, E, H, I, 50 µm; D, 380 µm.

opencc-by-4.0Sep 2020View details →
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Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers (Data)

<p>Auxiliary materials for ICPE 2016 paper titled:<br /> &quot;Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers&quot;.</p> <p>&nbsp;</p>

opencc-by-sa-4.0Feb 2016View details →
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Data and results for manuscript "Multi-frequency electrical impedance tomography as a non-invasive tool to characterize and monitor crop root systems "

<p>Root systems are essential in nutrient uptake and translocation, but are difficult to characterize non-invasively with existing methods. We propose electrical impedance tomography (EIT) as a new tool for the imaging and monitoring of crop root systems. In a laboratory experiment we demonstrate the capability of the method to capture physiological responses of root systems with high spatial and temporal resolution. We conclude that EIT is a promising functional imaging technique for crop roots.</p> <p>This package contains measured raw EIT data, electrical imaging results, spectral results from the Debye decomposition, and the Python scripts used to generate the plots in the manuscript.</p>

opencc-by-4.0Jan 2017View details →
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PdZn/ZrO2+SAPO-34 bifunctional catalyst for CO2 conversion: Further insights by spectroscopic characterization

<p>Supplementary material: &nbsp;atomic concentrations calculated from XPS, XPS spectra</p>

opencc-by-4.0Feb 2023View details →
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Fig. 2 in Characterization of leaf-rollers attacking forest and fruit trees in Azerbaijan (Lepidoptera: Tortricidae)

Fig. 2: Distribution of Tortrix viridana, Archips rosanus and Archips xylosteanus in different regions of Azerbaijan.

opencc-by-4.0May 2011View details →
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Fig. 17 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 17. Retouched artefacts from the Holocene levels of Puritjarra rock shelter. All are from units 1a and 1b except M10/11-1 (unit 1c). Steep-edged scrapers: N11/9-2, N6/5-3, N10/5-3. Notched implements: N9/4-3, QR9/1-9, N10/4-8. Endscraper: M10/11-1.

opencc-by-4.0Nov 2006View details →
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Fig. 18. Group 2 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 18. Group 2 retouched artefacts from the Holocene levels of Puritjarra rock shelter. All are from units 1a and 1b. Geometric microliths: top row (1–8). Thumbnail scrapers: QR9/3-4, N10/3-1, Z10/2-1, N9/3-11, M9/2-14. Tula adze slugs: M10/1-4, M9/2-3, N5/4-1. (M10/1-4 is the largest tula in this assemblage). Burren adze slug: Z9/9-2. Endscrapers: N6/3-2, Z9/5-2. (Z9/5-2 has usepolish and rounding on the distal end, and fine overhang removal scars along the platform edge).

opencc-by-4.0Nov 2006View details →
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Fig. 16 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 16. Large flake implements from late Pleistocene levels of Puritjarra rock shelter. All are from unit 2a, except N13/20-1 (unit 2b). Steep-edged scrapers: N11/19-1, N11/22-2, QR9/8-11, N12/14-3. Amorphous retouched artefacts: N5/15-12, M11/18-1, N11/19-3. Notched implements: N13/20-1, N11/21-2. Saws: N10/9-1, N5/19-1.

opencc-by-4.0Nov 2006View details →
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Fig. 15 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 15. Large flake implements from late Pleistocene levels of Puritjarra rock shelter. All are from unit 2a. Steep-edged scrapers: QR9/8-2, N5/15-11. Amorphous retouched implement: M10/22-2. QR9/8-1 is a large formal implement with extensive shallow invasive flaking and a thin convex working edge.

opencc-by-4.0Nov 2006View details →
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Fig. 13 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 13. Artefacts from the palaeosurface at c. 32,000 B.P. N13/24-1 is a large sandstone flake typical of the larger component of the flake assemblage. N13/25-3 shows a sandstone flake detached from a rotated core. Bottom two rows show small finely-made silcrete flakes. N12/26-1, M11/ 27-5 and M11/27-6 are made on exotic silcrete. M11/27-2 (2) is a chalcedony flake with a short length of retouch or edge damage. M11/27-4 (4) is a trimming flake detached from the retouched edge of a chalcedony implement.

opencc-by-4.0Nov 2006View details →
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Fig. 2 in Characterizing Late Pleistocene and Holocene Stone Artefact Assemblages from Puritjarra Rock Shelter: A Long Sequence from the Australian Desert

Fig. 2. Plan of Puritjarra rock shelter showing layout of excavation trenches. Also shown are spot heights (m below

opencc-by-4.0Nov 2006View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record