cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/8mzswb
title: Harmonizing OER metadata in ETL processes with SkoHub in the project “WirLernenOnline”

description: The metadata for Open Educational Resources (OER) are often made available in repositories without recourse to uniform value lists and corresponding standards for their attributes. This circumstance complicates data harmonization when OERs from different sources are to be merged in one search environment. With the help of the RDF standard SKOS and the tool SkoHub-Vocabs, the project "WirLernenOnline" has found an innovative, reusable and standards-based solution to this challenge. This involves the creation of SKOS vocabularies that are used during the ETL process to standardize different terms (for example, "math" and "mathematics"). This then forms the basis for providing users with consistent filtering options and a good search experience. The created and open licensed vocabularies can then easily be reused and linked to overcome this challenge in the future.
DOI: 10.25625/8mzswb/abosdd
title: abstract.pdf

description: Abstract to Poster
DOI: 10.17043/martens-2022-arctic-terroc-1
title: Sources and accumulation rates of terrestrial carbon in circum-Arctic shelf sediments
DOI: 10.25574/52750
title: Chandra X-ray Observatory ObsId 52750
DOI: 10.25574/52754
title: Chandra X-ray Observatory ObsId 52754
DOI: 10.25574/52761
title: Chandra X-ray Observatory ObsId 52761
DOI: 10.25574/52766
title: Chandra X-ray Observatory ObsId 52766
DOI: 10.25574/52773
title: Chandra X-ray Observatory ObsId 52773
DOI: 10.25574/52778
title: Chandra X-ray Observatory ObsId 52778
DOI: 10.25574/52783
title: Chandra X-ray Observatory ObsId 52783
DOI: 10.25574/52789
title: Chandra X-ray Observatory ObsId 52789
DOI: 10.25574/52793
title: Chandra X-ray Observatory ObsId 52793
DOI: 10.25574/52798
title: Chandra X-ray Observatory ObsId 52798
DOI: 10.25574/52803
title: Chandra X-ray Observatory ObsId 52803
DOI: 10.25574/52810
title: Chandra X-ray Observatory ObsId 52810
DOI: 10.25574/52816
title: Chandra X-ray Observatory ObsId 52816
DOI: 10.25574/52824
title: Chandra X-ray Observatory ObsId 52824
DOI: 10.25574/52828
title: Chandra X-ray Observatory ObsId 52828
DOI: 10.25574/52833
title: Chandra X-ray Observatory ObsId 52833
DOI: 10.25574/52849
title: Chandra X-ray Observatory ObsId 52849
DOI: 10.25574/52866
title: Chandra X-ray Observatory ObsId 52866
DOI: 10.25574/52872
title: Chandra X-ray Observatory ObsId 52872
DOI: 10.25574/52880
title: Chandra X-ray Observatory ObsId 52880
DOI: 10.25574/52885
title: Chandra X-ray Observatory ObsId 52885
DOI: 10.25574/52892
title: Chandra X-ray Observatory ObsId 52892
DOI: 10.25574/52898
title: Chandra X-ray Observatory ObsId 52898
DOI: 10.25574/52905
title: Chandra X-ray Observatory ObsId 52905
DOI: 10.25574/52908
title: Chandra X-ray Observatory ObsId 52908
DOI: 10.25574/52911
title: Chandra X-ray Observatory ObsId 52911
DOI: 10.25574/52917
title: Chandra X-ray Observatory ObsId 52917
DOI: 10.25574/52926
title: Chandra X-ray Observatory ObsId 52926
DOI: 10.25574/52933
title: Chandra X-ray Observatory ObsId 52933
DOI: 10.25574/52935
title: Chandra X-ray Observatory ObsId 52935
DOI: 10.25574/52940
title: Chandra X-ray Observatory ObsId 52940
DOI: 10.25574/52945
title: Chandra X-ray Observatory ObsId 52945
DOI: 10.25574/52949
title: Chandra X-ray Observatory ObsId 52949
DOI: 10.25574/52955
title: Chandra X-ray Observatory ObsId 52955
DOI: 10.25574/52963
title: Chandra X-ray Observatory ObsId 52963
DOI: 10.25574/52971
title: Chandra X-ray Observatory ObsId 52971
DOI: 10.25574/52984
title: Chandra X-ray Observatory ObsId 52984
DOI: 10.25574/52992
title: Chandra X-ray Observatory ObsId 52992
DOI: 10.25574/52999
title: Chandra X-ray Observatory ObsId 52999
DOI: 10.5281/zenodo.7027693
title: The Power of Petitioning Data

description: First public release of data for 2847 early modern English petitions, including information about archival sources, dates, petition topics, petitioners and administrative responses.
DOI: 10.5281/zenodo.7027692
title: The Power of Petitioning Data

description: First public release of data for 2847 early modern English petitions, including information about archival sources, dates, petition topics, petitioners and administrative responses.
DOI: 10.6084/m9.figshare.20556600.v1
title: Data Set S2.xlsx

description: <strong>Data Set S2</strong> List of proteins differentially regulated in response to 10 mM, 30 mM, 50, mM, and 75 mM NH<sub>4</sub><sup>+</sup>.
DOI: 10.6084/m9.figshare.20556600
title: Data Set S2.xlsx

description: <strong>Data Set S2</strong> List of proteins differentially regulated in response to 10 mM, 30 mM, 50, mM, and 75 mM NH<sub>4</sub><sup>+</sup>.
DOI: 10.6084/m9.figshare.20556633
title: Data Set S3.xlsx

description: <strong>Data Set S3</strong> List of those 95 DRPs that could be functionally annotated with the Kyoto Encyclopedia of Genes and Genomes (KEGG) database at levels 1 to 4.
DOI: 10.6084/m9.figshare.20556651
title: Data Set S4.xlsx

description: <strong>Data Set S4</strong> The 121 proteins information in the final protein-protein interaction (PPI network).
DOI: 10.6084/m9.figshare.20556651.v1
title: Data Set S4.xlsx

description: <strong>Data Set S4</strong> The 121 proteins information in the final protein-protein interaction (PPI network).
DOI: 10.23729/432b6686-0459-4d65-923f-c03daf52eb5b
title: Acceleration data from free grazing locomotion of cattle
title: Kiihtyvyysdataa vapaasti laiduntavan karjan liikkumisesta

description: DATA HEADER Time(s); Xaxis(g); Yaxis(g); Zaxis(g) %% Five consecutive experiments were performed in August and September of 2020 at a dairy farm, Ahlman (Ahlmanin koulun saatio, Tampere, Finland) with: - four-year-old Eastern Finncattle cow Neilikka - FIRST 4 DAYS (11-14.08.2020) - five-year-old Western Finncattle cow Miilu - LAST DAY (15.08.2020) Collar (neck), pendant(bell) and leg locomotion was logged. Data represents 1h of raw acceleration data captured with two Axivity Ax3 and one Ax6 during very active period of free grazing of summer pasture. Sensors were all synchronized in time and configured to log +/- 8g at 800Hz. Exact cow step profiles can be extracted from leg sensor data. %% Exact sensor placement and axis positions can be found from this article (link in identifiers and events tab): https://www.researchgate.net/publication/360948508_A_farm_animal_kinetic_energy_harvesting_device_for_IoT_applications
DOI: 10.6084/m9.figshare.20556672
title: Data Set S6.xlsx

description: <strong>Data Set S6</strong> Expression response of plasmid-borne proteins to increasing NH<sub>4</sub><sup>+</sup> load.
DOI: 10.6084/m9.figshare.20556672.v1
title: Data Set S6.xlsx

description: <strong>Data Set S6</strong> Expression response of plasmid-borne proteins to increasing NH<sub>4</sub><sup>+</sup> load.
DOI: 10.15131/shef.data.20715328.v1
title: Exploring the psychological and sociological factors affecting critical thinking with students of English for Academic Purposes

description: Title: <strong>Exploring the psychological and sociological factors affecting critical thinking with students of English for Academic Purposes</strong> <br> This was a qualitative research project for a Doctorate in Education. Its aim was to ascertain whether students of English for Academic Purposes (EAP) found that exploring certain psychological and sociological factors affecting human thinking helped them with their own critical thinking. I did this with EAP students at the University of Sheffield in a series of workshops. I then interviewed the participants and analysed the resulting data using thematic analysis and code development. The project received ethical approval from the University of Sheffield; the Refernce Number is 023437. See the READ ME document for further details.
DOI: 10.6084/m9.figshare.20747776
title: Supplementary Material for: Efficacy and Safety of Lanreotide Autogel and Temozolomide Combination Therapy in Progressive Thoracic Neuroendocrine Tumors (carcinoid): Results from the Phase 2 ATLANT Study

description: Introduction: Lanreotide autogel (LAN) and temozolomide (TMZ) are guidelines-recommended monotherapies for thoracic neuroendocrine tumors (carcinoids; T-NETs) but prospective data for both combined and monotherapies are lacking. ATLANT (NCT02698410) evaluated efficacy and safety of LAN/TMZ in progressive T-NETs. Methods: ATLANT was a 12-month, Italian, phase 2, single-arm, open-label, multicenter pilot study. Eligible patients had unresectable, locally-advanced/metastatic, well-/moderately-differentiated T-NETs with radiological progression. Patients received subcutaneous LAN 120 mg every 28 days and oral TMZ 250 mg/day for 5 consecutive days every 28-day cycle. Main endpoints: disease control rate (DCR) at 9 months (primary; investigator-assessed), median progression-free survival (PFS), biomarkers and safety. Results: Patients: n=40; 60% male. Primary tumor site: lung (90%); thymus (10%). Carcinoid type: typical (20.0%), atypical (52.5%). DCR at 9 months was 35.0% (95% confidence interval [CI] 20.63–51.68) (non-acceptability threshold ≤10%, p&lt;0.0001; not significantly above clinically relevant threshold ≥30%, p=0.2968). DCR between 7.5 and 10.5 months (sensitivity analysis) was 45.0% (95%CI 29.26–61.51) and clinically relevant (p=0.0320 at ≥30% threshold). Median PFS was 37.1 (95%CI 24.1–52.9) weeks. No association was observed between biomarker variations (chromogranin A, neuron-specific enolase, somatostatin receptor type-2, Ki-67, 6-O-methylguanine-DNA-methyl-transferase) and DCR or PFS. Most patients (97.5%) had treatment-emergent adverse events (TEAEs); 72.5% had treatment-related TEAEs. TEAEs were mainly grade 1/2. No unanticipated TEAEs were reported. Conclusions: This study showed that LAN/TMZ combination has promising efficacy in progressive T-NETs, and was well tolerated. Larger studies are warranted to support the clinical benefits of LAN/TMZ in patients with T-NETs.
DOI: 10.6084/m9.figshare.20747776.v1
title: Supplementary Material for: Efficacy and Safety of Lanreotide Autogel and Temozolomide Combination Therapy in Progressive Thoracic Neuroendocrine Tumors (carcinoid): Results from the Phase 2 ATLANT Study

description: Introduction: Lanreotide autogel (LAN) and temozolomide (TMZ) are guidelines-recommended monotherapies for thoracic neuroendocrine tumors (carcinoids; T-NETs) but prospective data for both combined and monotherapies are lacking. ATLANT (NCT02698410) evaluated efficacy and safety of LAN/TMZ in progressive T-NETs. Methods: ATLANT was a 12-month, Italian, phase 2, single-arm, open-label, multicenter pilot study. Eligible patients had unresectable, locally-advanced/metastatic, well-/moderately-differentiated T-NETs with radiological progression. Patients received subcutaneous LAN 120 mg every 28 days and oral TMZ 250 mg/day for 5 consecutive days every 28-day cycle. Main endpoints: disease control rate (DCR) at 9 months (primary; investigator-assessed), median progression-free survival (PFS), biomarkers and safety. Results: Patients: n=40; 60% male. Primary tumor site: lung (90%); thymus (10%). Carcinoid type: typical (20.0%), atypical (52.5%). DCR at 9 months was 35.0% (95% confidence interval [CI] 20.63–51.68) (non-acceptability threshold ≤10%, p&lt;0.0001; not significantly above clinically relevant threshold ≥30%, p=0.2968). DCR between 7.5 and 10.5 months (sensitivity analysis) was 45.0% (95%CI 29.26–61.51) and clinically relevant (p=0.0320 at ≥30% threshold). Median PFS was 37.1 (95%CI 24.1–52.9) weeks. No association was observed between biomarker variations (chromogranin A, neuron-specific enolase, somatostatin receptor type-2, Ki-67, 6-O-methylguanine-DNA-methyl-transferase) and DCR or PFS. Most patients (97.5%) had treatment-emergent adverse events (TEAEs); 72.5% had treatment-related TEAEs. TEAEs were mainly grade 1/2. No unanticipated TEAEs were reported. Conclusions: This study showed that LAN/TMZ combination has promising efficacy in progressive T-NETs, and was well tolerated. Larger studies are warranted to support the clinical benefits of LAN/TMZ in patients with T-NETs.
DOI: 10.5281/zenodo.6787594
title: Hyperspectral X-ray CT datasets for a set of multiply-stained mouse limb specimens

description: <strong>General Data description:</strong> The following are hyperspectral (energy-resolved) X-ray CT datasets for a set of mouse limb specimens, each stained with multiple contrast agents. All scans were acquired with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The following data contains all the files necessary for reconstruction of each dataset. The biological specimens were produced as they each contain multiple contrast agents, with distinct spectral markers. When measured by an energy-sensitive detector, each contrast agent may be identified and segmented individually following spectral analysis. A mouse hindlimb was double-stained with elemental iodine and BaSO<sub>4</sub>. A mouse forelimb was triple-stained with I<sub>2</sub>KI, BaSO<sub>4 </sub>and PTA. <strong>File descriptions:</strong> Contained are two HDF5 (.h5) data files, as well as two (.txt) metadata files and a MATLAB (.mat) file. Hindlimb_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition for the double-stained hindlimb. Forelimb_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition for the triple-stained forelimb. DS_Mouse_hindlimb_sinogram.h5 contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data for the double-stained hindlimb specimen. The 4D array contains the total number of energy channels acquired during scanning, followed by vertical and horizontal pixel number, and finally total projections angles acquired. In addition, a ring artefact reduction filter was applied. TS_Mouse_forelimb_sinogram.h5 contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data for the triple-stained forelimb specimen. The 4D array contains the total number of energy channels acquired during scanning, followed by vertical and horizontal pixel number, and finally total projections angles acquired. In addition, a ring artefact reduction filter was applied. Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning.
DOI: 10.5281/zenodo.6787593
title: Hyperspectral X-ray CT datasets for a set of multiply-stained mouse limb specimens

description: <strong>General Data description:</strong> The following are hyperspectral (energy-resolved) X-ray CT datasets for a set of mouse limb specimens, each stained with multiple contrast agents. All scans were acquired with an energy-sensitive HEXITEC detector in the Henry Moseley X-ray Imaging Facility at The University of Manchester. The following data contains all the files necessary for reconstruction of each dataset. The biological specimens were produced as they each contain multiple contrast agents, with distinct spectral markers. When measured by an energy-sensitive detector, each contrast agent may be identified and segmented individually following spectral analysis. A mouse hindlimb was double-stained with elemental iodine and BaSO<sub>4</sub>. A mouse forelimb was triple-stained with I<sub>2</sub>KI, BaSO<sub>4 </sub>and PTA. <strong>File descriptions:</strong> Contained are two HDF5 (.h5) data files, as well as two (.txt) metadata files and a MATLAB (.mat) file. Hindlimb_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition for the double-stained hindlimb. Forelimb_scan_parameters.txt provides the full sample and detector geometry of the scan acquisition for the triple-stained forelimb. DS_Mouse_hindlimb_sinogram.h5 contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data for the double-stained hindlimb specimen. The 4D array contains the total number of energy channels acquired during scanning, followed by vertical and horizontal pixel number, and finally total projections angles acquired. In addition, a ring artefact reduction filter was applied. TS_Mouse_forelimb_sinogram.h5 contains the full 4D sinogram constructed following flatfield normalisation of the raw projection data for the triple-stained forelimb specimen. The 4D array contains the total number of energy channels acquired during scanning, followed by vertical and horizontal pixel number, and finally total projections angles acquired. In addition, a ring artefact reduction filter was applied. Energy_axis.mat provides a direct conversion between the energy channels, and the energies (in keV) that they correspond to, following a calibration procedure prior to scanning.
DOI: 10.34740/kaggle/dsv/4142915
title: The state of hiring discrimination
DOI: 10.6084/m9.figshare.20559417
title: Table S3.pdf

description: Table S3. NO<sub>2</sub><sup>-</sup> production by Methylocystis sp. strain SC2 in response to increasing NH<sub>4</sub>+ concentrations. Note: SC2 cells were incubated in 120-ml serum bottles under a headspace CH<sub>4</sub>:air mixing ratio of 20:80 (v/v) at 25 ℃, with shaking at 130 rpm. Samples (1 ml) for measurement of NO<sub>2</sub><sup>-</sup> were collected at 5 (30 mM, 50 mM NH<sub>4</sub><sup>+</sup>) or 6 (1 mM, 10 mM, and 75 mM NH<sub>4</sub><sup>+</sup>) time points. NO2- was measured by the Griess Reagent System (Promega Corporation, Madison, WI). Significant difference between comparison groups were calculated using one-way ANOVA Bonferroni t-test: *<em>p</em>-value≤0.05, **<em>p</em>-value≤0.01, ***<em>p</em>-value≤0.001 [comparing the same incubation time point across the increasing NH<sub>4</sub><sup>+</sup> concentrations (10 mM, 30 mM, 50 mM, 75 mM NH<sub>4</sub><sup>+</sup>) relative to the control treatment (1 mM NH<sub>4</sub><sup>+</sup>)]; and<sup> ǂ</sup><em>p</em>-value≤0.05, <sup>ǂǂ</sup><em>p</em>-value≤0.01, <sup>ǂǂǂ</sup><em>p</em>-value≤0.001 [comparing the same NH<sub>4</sub><sup>+</sup> treatment over incubation time in relation to time point 1]. See Fig. 5 for the graphical presentation of NO<sub>2</sub><sup>-</sup> production over the whole incubation period.
DOI: 10.6084/m9.figshare.20559417.v1
title: Table S3.pdf

description: Table S3. NO<sub>2</sub><sup>-</sup> production by Methylocystis sp. strain SC2 in response to increasing NH<sub>4</sub>+ concentrations. Note: SC2 cells were incubated in 120-ml serum bottles under a headspace CH<sub>4</sub>:air mixing ratio of 20:80 (v/v) at 25 ℃, with shaking at 130 rpm. Samples (1 ml) for measurement of NO<sub>2</sub><sup>-</sup> were collected at 5 (30 mM, 50 mM NH<sub>4</sub><sup>+</sup>) or 6 (1 mM, 10 mM, and 75 mM NH<sub>4</sub><sup>+</sup>) time points. NO2- was measured by the Griess Reagent System (Promega Corporation, Madison, WI). Significant difference between comparison groups were calculated using one-way ANOVA Bonferroni t-test: *<em>p</em>-value≤0.05, **<em>p</em>-value≤0.01, ***<em>p</em>-value≤0.001 [comparing the same incubation time point across the increasing NH<sub>4</sub><sup>+</sup> concentrations (10 mM, 30 mM, 50 mM, 75 mM NH<sub>4</sub><sup>+</sup>) relative to the control treatment (1 mM NH<sub>4</sub><sup>+</sup>)]; and<sup> ǂ</sup><em>p</em>-value≤0.05, <sup>ǂǂ</sup><em>p</em>-value≤0.01, <sup>ǂǂǂ</sup><em>p</em>-value≤0.001 [comparing the same NH<sub>4</sub><sup>+</sup> treatment over incubation time in relation to time point 1]. See Fig. 5 for the graphical presentation of NO<sub>2</sub><sup>-</sup> production over the whole incubation period.
DOI: 10.6084/m9.figshare.20589000.v1
title: Table S4.pdf

description: Table S4. N<sub>2</sub>O production by Methylocystis sp. strain SC2 in response to increasing NH<sub>4</sub><sup>+</sup> concentrations. Note: SC2 cells were incubated in 120-ml serum bottles under a headspace CH<sub>4</sub>:air mixing ratio of 20:80 (v/v) at 25 ℃, with shaking at 130 rpm. Using an N<sub>2</sub>O microsensor with piercing-needle (Unisens A/S, Denmark), the production of N<sub>2</sub>O in the headspace was regularly monitored during the whole incubation time period (14 days). Significant difference between comparison groups was calculated using one-way ANOVA Bonferroni t-test: *<em>p</em>-value≤0.05, **<em>p</em>-value≤0.01, ***<em>p</em>-value≤0.001 [comparing the same incubation time point across the increasing NH<sub>4</sub><sup>+</sup> concentrations (10 mM, 30 mM, 50 mM, 75 mM NH<sub>4</sub><sup>+</sup>) relative to the control treatment (1 mM NH<sub>4</sub><sup>+</sup>)]; and <sup>ǂ</sup><em>p</em>-value≤0.05, <sup>ǂǂ</sup><em>p</em>-value≤0.01, <sup>ǂǂǂ</sup><em>p</em>-value≤0.001 [comparing the same NH<sub>4</sub><sup>+</sup> treatment over incubation time relative to the early_log phase]. See Fig. 5 for the graphical presentation of N<sub>2</sub>O production over the whole incubation period.
DOI: 10.6084/m9.figshare.20589000
title: Table S4.pdf

description: Table S4. N<sub>2</sub>O production by Methylocystis sp. strain SC2 in response to increasing NH<sub>4</sub><sup>+</sup> concentrations. Note: SC2 cells were incubated in 120-ml serum bottles under a headspace CH<sub>4</sub>:air mixing ratio of 20:80 (v/v) at 25 ℃, with shaking at 130 rpm. Using an N<sub>2</sub>O microsensor with piercing-needle (Unisens A/S, Denmark), the production of N<sub>2</sub>O in the headspace was regularly monitored during the whole incubation time period (14 days). Significant difference between comparison groups was calculated using one-way ANOVA Bonferroni t-test: *<em>p</em>-value≤0.05, **<em>p</em>-value≤0.01, ***<em>p</em>-value≤0.001 [comparing the same incubation time point across the increasing NH<sub>4</sub><sup>+</sup> concentrations (10 mM, 30 mM, 50 mM, 75 mM NH<sub>4</sub><sup>+</sup>) relative to the control treatment (1 mM NH<sub>4</sub><sup>+</sup>)]; and <sup>ǂ</sup><em>p</em>-value≤0.05, <sup>ǂǂ</sup><em>p</em>-value≤0.01, <sup>ǂǂǂ</sup><em>p</em>-value≤0.001 [comparing the same NH<sub>4</sub><sup>+</sup> treatment over incubation time relative to the early_log phase]. See Fig. 5 for the graphical presentation of N<sub>2</sub>O production over the whole incubation period.
DOI: 10.5281/zenodo.6307350
title: Supplementary data for Plutniak, S. 2022. "What makes the identity of a scientific method? A history of the 'Structural and analytical typology' in the growth of evolutionary and digital archaeology in southwestern Europe (1950s–2000s)", Journal of Paleolithic Archaeology, vol. 5, 10.

description: Supplementary data for Plutniak, S. 2022. “What makes the Identity of a Scientific Method? A History of the ‘Structural and analytical typology’ in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s–2000s)”, <em>Journal of Paleolithic Archaeology</em>. vol 5, 10. DOI: 10.1007/s41982-022-00119-7.
description: {"references": ["Plutniak, S. 2022. \"What Makes the Identity of a Scientific Method? A History of the \"Structural and Analytical Typology\" in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s\u20132000s)\", Journal of Paleolithic Archaeology, DOI: 10.1007/s41982-022-00119-7."]}
DOI: 10.5281/zenodo.6307349
title: Supplementary data for Plutniak, S. 2022. "What makes the identity of a scientific method? A history of the 'Structural and analytical typology' in the growth of evolutionary and digital archaeology in southwestern Europe (1950s–2000s)", Journal of Paleolithic Archaeology, vol. 5, 10.

description: Supplementary data for Plutniak, S. 2022. “What makes the Identity of a Scientific Method? A History of the ‘Structural and analytical typology’ in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s–2000s)”, <em>Journal of Paleolithic Archaeology</em>. vol 5, 10. DOI: 10.1007/s41982-022-00119-7.
description: {"references": ["Plutniak, S. 2022. \"What Makes the Identity of a Scientific Method? A History of the \"Structural and Analytical Typology\" in the Growth of Evolutionary and Digital Archaeology in Southwestern Europe (1950s\u20132000s)\", Journal of Paleolithic Archaeology, DOI: 10.1007/s41982-022-00119-7."]}