cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8196540
title: Raw Data Examples for Close-Range Photogrammetry of Replicative Experiments on Ground Stone Tools

description: The data presented in this study pertains to the experimental collection built to verify the applicability of close-range photogrammetry to ground stone tools (GSTs). GS17 is a sandstone slab collected from the Fiora River in Manciano, Italy, where sandstone of Miocene formation outcrops. This stone is primarily composed of quartz grains embedded in abundant carbonate cement. It was utilized as a GST in replicative experiments, paired with an active tool from the same provenience, and subjected to 2 hours of<em> Rumex crispus</em> achenes grinding. Photogrammetric techniques based on Structure-from-Motion and Multi-View Stereo reconstruction were employed to generate the 3D models of the tool at different stages of the replicative use. We recorded the geometry of the GST before (referred to as T<sub>0</sub>) and after use (T<sub>4</sub>) to later compare and assess the change in object geometry during the transformation of vegetal resources, thereby facilitating our understanding of archaeological tools. This dataset comprises the pictures required for the elaboration of the GS17 models at T<sub>0</sub> and T<sub>4</sub>, as well as the data necessary for calibration.
description: This data are part of G.S. PhD research that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754511.
description: {"references": ["Sorrentino et al. 2023. PLOS ONE, DOI:10.1371/journal.pone.0289807"]}
DOI: 10.5281/zenodo.8200169
title: CELLOIDS: pH-responsive DOPC Giant Unilamellar Vesicles with and without Linoleic Acid

description: As part of the CELLOIDS project, one of our main research focuses is exploring the feasibility of making the microrobot's membrane responsive to a pH gradient. Specifically, we investigated the incorporation of linoleic acid into Giant unilamellar vesicles composed of DOPC (1,2-dioleoyl-sn-glycero-3-phosphocholine). The provided dataset compiles the diameters of liposomes prepared with DOPC (3.18 mM), DOPC:LA (linoleic acid) at a molar ratio of 100:1, and DOPC:LA at a molar ratio of 50:1. These liposomes were placed in buffers at both pH 6 and pH 7, simulating conditions similar to the tumor microenvironment. Our objective was to assess the stability of these liposomes under these conditions. In detail, we carefully prepared liposomes with varying molar ratios of DOPC and linoleic acid to determine the optimal amount of linoleic acid that induces membrane deformation while maintaining the structural integrity of the liposomes in acidic solutions. Subsequently, we subjected the liposomes to testing at the specified concentrations and compared their behavior under two different pH values. Finally, we observed the samples using a phase-contrast microscope immediately after the addition of the solutions and after a one-hour incubation period.
DOI: 10.6084/m9.figshare.22735139
title: Performance_012122.csv

description: Data set in CSV file of the Performance from 01/21/22
DOI: 10.6084/m9.figshare.22735139.v2
title: Performance_012122.csv

description: Data set in CSV file of the Performance from 01/21/22
DOI: 10.6084/m9.figshare.22735139.v1
title: Performance_012122

description: Data set in CSV file of the Performance from 01/21/22
DOI: 10.6084/m9.figshare.22971185
title: Rehearsal_031322.csv

description: Data set in CSV file of the Rehearsal from 03/13/22
DOI: 10.6084/m9.figshare.22971185.v2
title: Rehearsal_031322.csv

description: Data set in CSV file of the Rehearsal from 03/13/22
DOI: 10.6084/m9.figshare.22735106
title: Rehearsal_012022.csv

description: Data set in CSV file of the Rehearsal from 01/20/22
DOI: 10.6084/m9.figshare.22735106.v1
title: Rehearsal_012022

description: Data set in CSV file of the Rehearsal from 01/20/22
DOI: 10.6084/m9.figshare.22734818
title: Rehearsal_032022.csv

description: Data set in CSV file of the Rehearsal from 03/20/22
DOI: 10.6084/m9.figshare.22734818.v2
title: Rehearsal_032022.csv

description: Data set in CSV file of the Rehearsal from 03/20/22
DOI: 10.6084/m9.figshare.22734818.v1
title: Rehearsal_032022

description: Data set in CSV file of the Rehearsal from 03/20/22
DOI: 10.6084/m9.figshare.22734488
title: Rehearsal_040922.csv

description: Data set in CSV file of the Rehearsal from 04/09/22
DOI: 10.6084/m9.figshare.22734488.v2
title: Rehearsal_040922.csv

description: Data set in CSV file of the Rehearsal from 04/09/22
DOI: 10.6084/m9.figshare.22734488.v1
title: Rehearsal_040922

description: Data set in CSV file of the Rehearsal from 04/09/22
DOI: 10.6084/m9.figshare.22734434
title: Rehearsal_032722.csv

description: Data set in CSV file of the Rehearsal from 03/27/22
DOI: 10.6084/m9.figshare.22734434.v2
title: Rehearsal_032722

description: Data set in CSV file of the Rehearsal from 03/27/22
DOI: 10.6084/m9.figshare.22734434.v3
title: Rehearsal_032722.csv

description: Data set in CSV file of the Rehearsal from 03/27/22
DOI: 10.6084/m9.figshare.22734059
title: Rehearsal_011022.csv

description: Data set in CSV file of the Rehearsal from 01/10/22
DOI: 10.6084/m9.figshare.22734059.v2
title: Rehearsal_011022.csv

description: Data set in CSV file of the Rehearsal from 01/10/22
DOI: 10.6084/m9.figshare.22734059.v1
title: Rehearsal_011022

description: Data set in CSV file of the Rehearsal from 01/10/22
DOI: 10.6084/m9.figshare.22704502
title: Rehearsal_011622.csv

description: Data set in CSV file of the Rehearsal from 01/16/22
DOI: 10.6084/m9.figshare.22704502.v1
title: Rehearsal_011622

description: Data set in CSV file of the Rehearsal from 01/16/22
DOI: 10.6084/m9.figshare.22701439
title: Performance_012222.csv

description: Data on csv files from the performance done on 01/22/22.
DOI: 10.6084/m9.figshare.22701439.v1
title: Performance_012222

description: Data on csv files from the performance done on 01/22/22.
DOI: 10.6084/m9.figshare.22693468
title: Performance_041022.csv

description: Data set from the performance done on 04/10/22.
DOI: 10.6084/m9.figshare.22693468.v1
title: Performance_041022

description: Data set from the performance done on 04/10/22.
DOI: 10.6084/m9.figshare.22223284
title: Fine-structure relaxation collisions: Si with H and S with H

description: Using a quantum-mechanical close-coupling method, we calculate cross sections for fine structure excitation and relaxation of Si and S atoms in collisions with atomic hydrogen.Rate coefficients are calculated over a range of temperatures for astrophysical<br>applications.(v3: In lines 14 and 54, the integer representing the collisional partner was corrected to "5" representing the H atom.)
DOI: 10.6084/m9.figshare.22223284.v3
title: Fine-structure relaxation collisions: Si with H and S with H

description: Using a quantum-mechanical close-coupling method, we calculate cross sections for fine structure excitation and relaxation of Si and S atoms in collisions with atomic hydrogen.Rate coefficients are calculated over a range of temperatures for astrophysical<br>applications.(v3: In lines 14 and 54, the integer representing the collisional partner was corrected to "5" representing the H atom.)
DOI: 10.6084/m9.figshare.22223284.v2
title: Fine-structure relaxation collisions: Si with H and S with H

description: Using a quantum-mechanical close-coupling method, we calculate cross sections for fine structure excitation and relaxation of Si and S atoms in collisions with atomic hydrogen. Rate coefficients are calculated over a range of temperatures for astrophysical<br> applications.
DOI: 10.5281/zenodo.8011379
title: Estimated seismicity of Venusian wrinkle ridges based on fault scaling relationships

description: These files contain all lengths of wrinkle ridges from Bilotti & Suppe (1999), and the code I used to calculate scalar moment release from these faults. We apply segmentation and apply a maximum vertical slip extent. We calculate a moment release rate, or annual moment release, by summing the scalar moments and dividing by a deformation time. The fault lengths are in the last (3rd) column of the Excel file (wrinkleridges_midXY_frank.xlsx) in meters. Please see this reference for more information:<br> Sabbeth, L., Smrekar, S.E., and Stock, J.M. "Estimated seismicity of Venusian wrinkle ridges based on fault scaling<br> relationships." <em>Earth and Planetary Science Letters</em>, 619 (2023): 118308. https://doi.org/10.1016/j.epsl.2023.118308. We develop the method in this paper: https://doi.org/10.1029/2022JE007686
DOI: 10.5281/zenodo.8011378
title: Estimated seismicity of Venusian wrinkle ridges based on fault scaling relationships

description: These files contain all lengths of wrinkle ridges from Bilotti & Suppe (1999), and the code I used to calculate scalar moment release from these faults. We apply segmentation and apply a maximum vertical slip extent. We calculate a moment release rate, or annual moment release, by summing the scalar moments and dividing by a deformation time. The fault lengths are in the last (3rd) column of the Excel file (wrinkleridges_midXY_frank.xlsx) in meters. Please see this reference for more information:<br> Sabbeth, L., Smrekar, S.E., and Stock, J.M. "Estimated seismicity of Venusian wrinkle ridges based on fault scaling<br> relationships." <em>Earth and Planetary Science Letters</em>, 619 (2023): 118308. https://doi.org/10.1016/j.epsl.2023.118308. We develop the method in this paper: https://doi.org/10.1029/2022JE007686
DOI: 10.6084/m9.figshare.21256365
title: Fine-structure relaxation

description: Collisional relaxation rates for N+ and H and O2+ and H. Data presented in LAMDA format.<br>(in v2: in lines 11-13 and 26-28, the order of the "Up" and "Low" indices was corrected.)
DOI: 10.6084/m9.figshare.21256365.v3
title: Fine-structure relaxation

description: Collisional relaxation rates for N+ and H and O2+ and H. Data presented in LAMDA format.<br>(in v2: in lines 11-13 and 26-28, the order of the "Up" and "Low" indices was corrected.)
DOI: 10.6084/m9.figshare.21256365.v2
title: Fine-structure relaxation

description: Collisional relaxation rates for N+ and H and O2+ and H. Data presented in LAMDA format.
DOI: 10.48366/r603707
title: Lidar Data for semantic segmentation

description: Lidar (Light Detection and Ranging) data is a valuable source of information for semantic segmentation tasks, especially in areas like autonomous driving, robotics, and urban planning. Lidar sensors use laser pulses to measure distances to objects, creating 3D point cloud data that represents the surrounding environment. Semantic segmentation is the task of classifying each point or voxel in the point cloud into specific object classes or semantic categories. This comparison provides the publicly available 3d Lidar datasets
DOI: 10.6084/m9.figshare.23808960
title: PRINCIPLES OF TRAFFIC ORGANIZATION IN ANT TRANSPORTATIONNETWORKS

description: Includes raw data and analysis routines for extracting organizational information from videos of foraging ants
DOI: 10.6075/j09p2zt7
title: California Local Tax Ballot Measures, 1986 to 2012. In California Local Tax Ballot Measures

description: California local tax measure archive, 1986 to 2012. The files included in this archive are public records associated with local tax measures that were put before California voters in the years 1986 through 2012. Most of them were collected during the years 2014 to 2016 as part of a research project “Direct Democracy and the Significance of the Framing of Proposals” funded by the National Science Foundation (award number 1421993). Most were acquired by addressing public records requests to relevant county officials, some by making public records requests of city officials, and still others were downloaded from local government web sites or retrieved from public libraries. Rod Kiewiet of the California Institute of Technology also kindly provided our research team with many primary source documents, associated with school district parcel tax measures, which he had acquired by public records requests. The documents included in the archive include extracts from the official sample ballot and voter information guide, often including the ballot question, impartial summaries, and arguments for and against a given measure; the full text of the proposed ordinance where it was available; and very occasionally other public primary source documents (e.g., city council resolutions, city staff reports) that were provided to us above and beyond what we requested. The coverage of the archive is incomplete. We have included all such documents from every local government tax measure presented to voters in the state of which we were aware and that we could acquire. We worked from lists published by the California Election Data Archive (beginning in 1995) and the California Debt and Investment Advisory Commission (covering the whole period, but with limited coverage of special elections and elections in odd-numbered years), supplemented by information from local contacts. In some cases, we had reason to believe of the existence of tax measures of which we were unable to locate a surviving documentary record. In other cases, particularly for special elections and elections in odd-numbered years prior to 1995, the archive may omit measures because we were unable to learn of their existence
DOI: 10.6075/j03j3d57
title: California Local Tax Ballot Measures, 2013-2016. In California Local Tax Ballot Measures

description: California local tax measure archive, 2013 to 2016. The files included in this archive are public records associated with local tax measures that were put before California voters in the years 2013 through 2016. Most of them were collected during the years 2018 to 2020 as part of a research project “Social Context and Revenue Measures” funded by the National Science Foundation (award number 1823821). Most were downloaded from public agencies' websites and by addressing public records requests to relevant county officials. The documents included in the archive include extracts from the official sample ballot and voter information guide, often including the ballot question, impartial summaries, and arguments for and against a given measure; and the full text of the proposed ordinance where it was available. The coverage of the archive is incomplete. We have included all such documents from every local government tax measure presented to voters in the state of which we were aware and that we could acquire. We worked from lists published by the California Election Data Archive and the California Debt and Investment Advisory Commission (covering the whole period, but with limited coverage of special elections and elections in odd-numbered years).
DOI: 10.5281/zenodo.8194060
title: ER5reanalysis_data

description: General ER5 reanalysis data for model training
DOI: 10.5281/zenodo.8194059
title: ER5reanalysis_data

description: General ER5 reanalysis data for model training
DOI: 10.6084/m9.figshare.23802390.v2
title: Prosthetic Stiffness and Added Mass Affect Metabolic Power and Asymmetry in Female Runners with a Leg Amputation: Statistics and Corresponding Data

description: Data set including symmetry index values and individual leg values for biomechanical variables in female runners with a lower limb amputation, using a running-specific prosthesis. Variables include metabolic power, leg stiffness, contact time, stance-average and peak vertical ground reaction forces; collected while running at 2.5 meters per second. Includes statistical models used in the analysis.
DOI: 10.6084/m9.figshare.23810631
title: Impedance.csv

description: Impedance file in .csv format
DOI: 10.6084/m9.figshare.23802390
title: Prosthetic Stiffness and Added Mass Affect Metabolic Power and Asymmetry in Female Runners with a Leg Amputation: Statistics and Corresponding Data

description: Data set including symmetry index values and individual leg values for biomechanical variables in female runners with a lower limb amputation, using a running-specific prosthesis. Variables include metabolic power, leg stiffness, contact time, stance-average and peak vertical ground reaction forces; collected while running at 2.5 meters per second. Includes statistical models used in the analysis.
DOI: 10.6084/m9.figshare.23802390.v3
title: Prosthetic Stiffness and Added Mass Affect Metabolic Power and Asymmetry in Female Runners with a Leg Amputation: Statistics and Corresponding Data

description: Data set including symmetry index values and individual leg values for biomechanical variables in female runners with a lower limb amputation, using a running-specific prosthesis. Variables include metabolic power, leg stiffness, contact time, stance-average and peak vertical ground reaction forces; collected while running at 2.5 meters per second. Includes statistical models used in the analysis.
DOI: 10.6084/m9.figshare.23810616
title: Data for the surface parameters for paper M E Dokukin <i>et al</i> 2015 <i>New J. Phys.</i> <b>17</b> 033019<b>DOI</b> 10.1088/1367-2630/17/3/033019

description: Data of the surface parameters for paper: "Emergence of fractal geometry on the surface of human cervical epithelial cells during progression towards cancer" by M E Dokukin, N V Guz, C D Woodworth and I Sokolov*Published 10 March 2015 • © 2015 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft<br>New Journal of Physics, Volume 17, March 2015 <br><b>Citation</b> M E Dokukin <i>et al</i> 2015 <i>New J. Phys.</i> <b>17</b> 033019<b>DOI</b> 10.1088/1367-2630/17/3/033019
DOI: 10.5281/zenodo.8200523
title: Themes describing the Ocean Modeling Domain

description: The archive contains themes dreived from interviews using Thematic Analysis. For each theme, we provide a separate markdown file containing the theme title, its categories and codes. Subsequently, for each code its title is given and all text sequences from the interviews which have been assigned the specific code. As it helped us to see the context of the text sequence, the text before and after the codified section are also included.
DOI: 10.5281/zenodo.8200522
title: Themes describing the Ocean Modeling Domain

description: The archive contains themes dreived from interviews using Thematic Analysis. For each theme, we provide a separate markdown file containing the theme title, its categories and codes. Subsequently, for each code its title is given and all text sequences from the interviews which have been assigned the specific code. As it helped us to see the context of the text sequence, the text before and after the codified section are also included.
DOI: 10.6084/m9.figshare.21440472
title: Rehearsal_011022.mat

description: Data from the reherarsal done on 01/10/22.
DOI: 10.6084/m9.figshare.21440472.v1
title: Rehearsal_011022.mat

description: Data from the reherarsal done on 01/10/22.
DOI: 10.6084/m9.figshare.21440490
title: Rehearsal_032722.mat

description: Data from the reherarsal done on 03/27/22
DOI: 10.6084/m9.figshare.21440490.v1
title: Rehearsal_032722.mat

description: Data from the reherarsal done on 03/27/22
DOI: 10.6084/m9.figshare.21440487
title: Rehearsal_040922.mat

description: Data from the reherarsal done on 04/09/22.
DOI: 10.6084/m9.figshare.21440487.v1
title: Rehearsal_040922.mat

description: Data from the reherarsal done on 04/09/22.
DOI: 10.6084/m9.figshare.21440475.v1
title: Rehearsal_032022.mat

description: Data from the reherarsal done on 03/20/22.
DOI: 10.6084/m9.figshare.21440475
title: Rehearsal_032022.mat

description: Data from the reherarsal done on 03/20/22.
DOI: 10.6084/m9.figshare.21440475.v2
title: Rehearsal_032022.mat

description: Data from the reherarsal done on 03/20/22.
DOI: 10.6084/m9.figshare.21440478
title: Rehearsal_012022.mat

description: Data from the reherarsal done on 01/20/22.
DOI: 10.6084/m9.figshare.21440478.v2
title: Rehearsal_012022.mat

description: Data from the reherarsal done on 01/20/22.
DOI: 10.6084/m9.figshare.21440478.v1
title: Rehearsal_012022.mat

description: Data from the reherarsal done on 01/20/22.
DOI: 10.6084/m9.figshare.21440481
title: Performance_012122.mat

description: Data from the performance done on 01/21/22.
DOI: 10.6084/m9.figshare.21440481.v1
title: Performance_012122.mat

description: Data from the performance done on 01/21/22.
DOI: 10.6084/m9.figshare.21440484
title: Rehearsal_031322.mat

description: Data from the reherarsal done on 03/13/22.
DOI: 10.6084/m9.figshare.21440484.v2
title: Rehearsal_031322.mat

description: Data from the reherarsal done on 03/13/22.
DOI: 10.6084/m9.figshare.21440466
title: Rehearsal_011622.mat

description: Data from the reherarsal done on 01/16/22.
DOI: 10.6084/m9.figshare.21440466.v1
title: Rehearsal_011622.mat

description: Data from the reherarsal done on 01/16/22.
DOI: 10.6084/m9.figshare.21440463
title: Performance_012222.mat

description: Data from the performance done on 01/22/22.
DOI: 10.6084/m9.figshare.21440463.v1
title: Performance_012222.mat

description: Data from the reherarsal done on 01/22/22.
DOI: 10.20350/digitalcsic/729
title: Anillo cilíndrico - CR0011_AR
DOI: 10.20350/digitalcsic/731
title: Torques de plata (1) de alambres torsionados y extremos en hojal - DSCN5485
DOI: 10.20350/digitalcsic/732
title: Hebilla en Omega - DSCN1678
DOI: 10.20350/digitalcsic/735
title: Cuenta de perfil curvo-convexo con zona central preparada para pasta vítrea, que no se ha conservado - DCRO0012_AR
DOI: 10.20350/digitalcsic/738
title: Torques de plata (2) de alambres torsionados y extremos en hojal - IVDJ_T2_0003
DOI: 10.20350/digitalcsic/739
title: Fragmento con apéndices cónicos con ganchos perteneciente a un colgante reloj de arena muy fragmentado, reverso - VDJAu0201
DOI: 10.20350/digitalcsic/741
title: Colgante reloj de arena con ganchos y cadenas. Colgante semicircular incompleto. Reverso - ast_cc_0018_ar
DOI: 10.20350/digitalcsic/744
title: Plato argénteo nº 38.204.Base anverso - ABE0219_AR
DOI: 10.20350/digitalcsic/748
title: Plato argénteo nº 38.204. Grafitti geométrico en el borde - ABE0217_AR
DOI: 10.20350/digitalcsic/749
title: Brazalete ciíndrico abierto, de plata. Detalle de la ornamentación geométrica - DSCN5540
DOI: 10.20350/digitalcsic/750
title: Unión del cuerpo doble de uno de los pendientes fusiformes - DCRO0005_AR
DOI: 10.20350/digitalcsic/752
title: Plato argénteo nº 38.213 .Graffiti con guerrero en la base - ABE0116_AR
DOI: 10.20350/digitalcsic/755
title: Plato argénteo nº 38.214. Inscripción circular en el umbo - ABE0205_AR
DOI: 10.20350/digitalcsic/757
title: Torques con extremos en doble escocia y alambre enrollado en el aro. Detalle de la ornamentación del aro - TLAN0014
DOI: 10.20350/digitalcsic/758
title: Brazalete ciíndrico abierto, de plata - DSCN5535
DOI: 10.20350/digitalcsic/762
title: Cuenta de perfil curvo-convexo y régulo (botón de fundición) - DCRO0025_AR
DOI: 10.20350/digitalcsic/763
title: Plato argénteo nº 38.204.Base reverso - ABE0223_AR
DOI: 10.20350/digitalcsic/764
title: Torques de plata (2) de alambres torsionados y extremos en hojal. Detalle de los extremos - DSCN5505
DOI: 10.20350/digitalcsic/765
title: Plato argénteo nº 38.218. Anverso - ABE0180_AR
DOI: 10.20350/digitalcsic/767
title: Plato argénteo nº 38.213 .Figura de guerrero - ABE0115_AR
DOI: 10.20350/digitalcsic/769
title: Colgante reloj de arena con decoración de moscas, anverso - DSCN1271
DOI: 10.20350/digitalcsic/772
title: Cuenco con decoración radial y borde exento - VILLE0092_AR
DOI: 10.20350/digitalcsic/773
title: Colgante semicircular incompleto, detalle de la ornamentación - DSCN1323
DOI: 10.20350/digitalcsic/775
title: Plato argénteo nº 38.218. Reverso - ABE0006_AR
DOI: 10.20350/digitalcsic/776
title: Plato argénteo nº 38.202 . Detalle del pie - ABE0070_AR
DOI: 10.20350/digitalcsic/778
title: Plato argénteo nº 38.213 .Figura zoomorfa, ciervo - ABE0119_AR
DOI: 10.20350/digitalcsic/780
title: Plato argénteo nº 38.202 . Detalle del borde, reverso - ABE0071_AR
DOI: 10.20350/digitalcsic/782
title: Torques con extremos en doble escocia y alambre enrollado en el aro. Detalle de la ornamentación del aro - TLAN0021
DOI: 10.20350/digitalcsic/783
title: Arracada fusiforme con apéndice cónico. Detalle del apéndice - VDJAu0336