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301 results for “law”
Data for "Simpson's Law and Spectral Cancellation of Climate Feedbacks"
<p>Line-by-line output from the Reference Forward Model (Dudhia 2016) and plotting scripts for the paper "Simpson's Law and Spectral Cancellation of Climate Feedbacks" published in Geophysical Research Letters. </p>
Towards Compliance Checking between Business Process Models and Lawful States of Objects
<p>Dataset from publication http://ceur-ws.org/Vol-1230/paper-03.pdf </p>
Data for Cumulative hydrological impacts of forest disturbance follow the Law of Diminishing Returns
<p>This dataset supports the analysis of the manuscript, entitled "<span lang="EN-US">Long-term Cumulative Hydrological Effects of Forest Disturbances Follow the Law of Diminishing Returns in British Columbia, Canada</span>". It includes forest disturbance history, i.e., cumulative equivalent clear-cut area (CECA), hydrological sensitivities in the post-threshold period in the study watersheds, and the estiamted CECA at the upper limit and environmental variables. </p>
D.O. Bezzubov, S.I. Moskalenko Legal Aspects of the Renewal by Administrative Courts of the Missed Procedure Term under the Conditions of Martial Law
<p>This article discloses topical issues of legal aspects of the renewal by administrative courts of the missed procedural period in the conditions of martial law.</p><p>The opinion expressed is that the resolution of the issue regarding the renewal of the missed procedural term is an evaluative one, and its resolution rests on the discretion of the court, that is, it is within the discretionary powers of the court.</p><p>The applicant's compliance with the above-mentioned conditions regarding the substantiation of the "significance of the reasons for missing" the procedural terms does not oblige the administrative court to make a decision on the renewal of the missed procedural term.</p><p>Analyzing the content of part 1 of Article 121 of the Criminal Procedure Code and its interpretation by the administrative courts of Ukraine, we can come to the conclusion that the introduction of martial law on the territory of Ukraine without reference to objectively insurmountable circumstances, in the presence of significant obstacles or difficulties that made it impossible or difficult to timely apply to the administrative to the court within the period specified by law, is not an unconditional basis for renewing the missed procedural period.</p><p>It is worth noting that although some administrative courts require applicants to provide the most complete justification of the reasons for missing the procedural deadline, this does not limit the administrative court at its own discretion to evaluate the arguments and evidence of the applicant for the renewal of the missed deadline, which may cause a dispute with the opponent in in connection with the groundless renewal of procedural terms by the court.</p><p>In order to achieve legal certainty in public-legal relations, Article 118 of the Civil Code of Ukraine provides for the determination of terms in the administrative process, which is the basis for the conscientious attitude of the participants in the judicial process to the performance of their duties</p><p>The administrative court's satisfaction of an unmotivated application for the renewal of the missed term may lead to a discriminatory situation in relation to other subjects of the appeal and violate the principle of equality of parties in administrative proceedings.</p><p>Supplementing the procedural law with norms that would clearly define the mandatory grounds for renewing the missed procedural term, including in connection with the consequences of military aggression on the territory of Ukraine, would eliminate legal uncertainty regarding the limits of the application of discretionary powers by the administrative court and would eliminate any assumptions of the participants in the court process regarding the violation of the principle of equality of the parties.</p><p><strong>Keywords: </strong>administrative proceedings, procedural term, missing the procedural term, Code of Administrative Proceedings of Ukraine, seriousness of reasons for skipping, martial law.</p>
Bibliographic Data [Updated]: Mapping Global Research on Canon Law since 1896
<p>Updated Dataset studied in <br>Koutsoupias D., Kokovidou M. (2023). Mapping Global Research on Canon Law since 1896-Extracted-2023-04-23, Presented at the 11th Conference of the Greek Data Analysis Society, Univ of W Macedonia, GREECE</p>
Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology
<p>Dataset for <strong>Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology</strong></p>
City of no Laws Shoe
Old shoe found in a shoe factory in the city of no laws in Spain Created with Polycam Source: Objaverse 1.0 / Sketchfab
Stone 2mtr from Burn Betwixt the Laws Stone
This stone lies 2 mtrs from the Burn Betwixt the Laws Stone which was thought to have neolithic cup marks but on further examination it was determined the cup marks were natural geological anomalies. This smalller stone exhibited similar anomalies. NT 59450 59656 Canmore 342844 Shot with Huawei Mate Pro 10 mobile phone by Douglas Ledingham Source: Objaverse 1.0 / Sketchfab
UNDERSTANDING HOOKE´S LAW: ELASTICITY OF PASTA
<p>Dataset for estimating the Young's modulus of spaghetti and their Yield Stress. Each column is labeled with the parameter measured and their units. The column highlighted in blue contains the Yield Stress data, as depicted in Figure 2b of the article. The columns highlighted in green represent the Young's modulus estimation for various cooking times, as depicted in Figure 2a of the article.</p>
Data from: A generalized distribution interpolated between the exponential and power law distributions and applied to pill bug (Armadillidium vulgare) walking data
<p>The walking pattern of an organism is typically designated as either a Lévy walk or a Brownian walk based on whether the frequency distribution of its linear step lengths follows a power law distribution or an exponential distribution. However, there are many cases where actual data cannot be classified into either of these categories. In this paper, we propose a general distribution that includes the power law and exponential distributions as special cases. This distribution has two parameters: one parameter represents the exponent, similar to the power law and exponential distributions, and the other is a shape parameter representing the shape of the distribution. By introducing this distribution, an intermediate distribution model can be interpolated between the power law and exponential distributions. In this study, the proposed distribution was fitted to the frequency distribution of the step length calculated from the walking data of pill bugs. The autocorrelation coefficients were also calculated from the time-series data of the step length, and the relationship between the shape parameter and time dependency was investigated. The results indicate that individuals whose step length frequency distributions are closer to the power law distribution have stronger time dependence.</p> <p>C++ program for parameter estimation of generalized distributions and source code for statistical analysis using R.</p>
Data from: Validity, applicability and universality of fractal scaling laws for natural lakes
<p><span>We conducted a systematic investigation on the validity, applicability and universality of the fractal scaling relationships for natural lakes within China. Hydro-climatic zones from the Hydrological regionalization of China were taken as the statistical units for all the analyses. Lake size and hydrological parameters used in the analyses are from the HydroLAKES database. To test the validity of the fractal scaling relationships between lake properties, power law functions were fitted to these properties. To examine the effects of topographical relief on the power law size distribution, regional degree of topographical relief was calculated for each zone based on ASTER GDEM2. To explore the potential impacts of human activities on the applicability of power law size distribution, Human modification index data was jointly analyzed with the power law distribution of lake size.</span></p>
Metadata for Law Journals in the Scopus/Scimago Database as of 2022
<p>This file documents the raw data and manual codings (as of July 2022) of 46 journals listed in the <a href="https://web.archive.org/20220725073013/www.scimagojr.com/journalrank.php?category=3308&country=DE">Scimago Journal & Country Rank for the search criteria "Subject category: Law", "Region/Country: Germany", and "Year: 2021"</a>. These data are the basis of the blog post <em>Hamann/Emmelheinz</em>, "Scopus/Scimago: Useless for Studying Legal Research! An Empirical Assessment of Misclassification Rates in a Popular Scientometric Data Source", Legal|Empirics blog 25 July 2022, DOI <a href="http://www.doi.org/10.25527/re.2022.02">10.25527/re.2022.02</a>.</p>
Data sheets - Compliance SSI SystemProperty Set to Laws, Regulations, and Technical Standards
<p>Data sheets generated as a result of the development of the proposed property set. These data are an addendum to a journal article submitted.</p>
Replication package for "Welfare Cuts and Crime: Evidence from the New Poor Law"
<p>Replication package for: Melander, E. and Miotto, M., "Welfare Cuts and Crime: Evidence from the New Poor Law", The Economic Journal.</p>
Graffiti on Maiden Stone, Traprain Law
Graffitti on the east side of the passage through the Maiden Stone on the summit of Traprain Law, East Lothian. It is marked with graffiti letters and date - JL AW 1854 . The Maiden Stone is a block of phonolite, split from the exposed bedrock to its NE leaving a narrow gap in between. It measures 4.2m in length from NW to SE by 0.65m in breadth and up to 1.4m in height. The rock, which bears graffiti on its NE face, is depicted on the 1st edition of the OS 6-inch map (Haddingtonshire Sheet 10, 1855) and the OS surveyors noted that 'A traditional story is told and believed by the country people that no woman except the[y] be a virgin can pass between these rocks...' (OS Name Book No. 42, p17, see also p64). Canmore ID 356169 Site Number NT57SE 173 NGR NT 58307 74748 Datum OSGB36 - NGR Permalink http://canmore.org.uk/site/356169 Source: Objaverse 1.0 / Sketchfab
data and codes for paper "Understanding power-law photoluminescence decays and bimolecular recombination in lead-halide perovskites"
<p>These are the data and Matlab codes used in the paper "Understanding power-law photoluminescence decays and bimolecular recombination in lead-halide perovskites".</p>
Data (2) with paper "Size Laws and Division Ring Dynamics in Filamentous Escherichia coli cells"
<p>See also: https://zenodo.org/records/11401115</p> <p><strong><span>Data files related to manuscript:</span></strong></p> <p><span>Wehrens M, Ershov D, Rozendaal R, Walker N, Schultz D, Kishony R, Levin PA, Tans SJ (2018). “Size Laws and Division Ring Dynamics in Filamentous Escherichia coli cells”. Current Biology. </span></p> <p><span><a href="https://doi.org/10.1016/j.cub.2018.02.006">https://doi.org/10.1016/j.cub.2018.02.006</a></span></p> <p><strong><span> </span></strong></p> <p><strong><span>Scripts are available at:</span></strong></p> <p><a href="https://github.com/TansLab/Tans_filamentation"><span>https://github.com/TansLab/Tans_filamentation</span></a></p> <p><span> </span></p> <p><span>And you will also need the additional scripts from the repositories:</span></p> <p><a href="https://github.com/TansLab/Common_libraries"><span>https://github.com/TansLab/Common_libraries</span></a></p> <p><a href="https://github.com/TansLab/Tans_Schnitzcells"><span>https://github.com/TansLab/Tans_Schnitzcells</span></a></p> <p><span> </span></p> <p><strong><span>Script that generates figures:</span></strong></p> <p><a href="https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m"><span>https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m</span></a></p> <p><span> </span></p> <p><em><span>And more specifically, data is loaded, (partially analyzed,) and plotted here:</span></em></p> <p><a href="https://github.com/TansLab/Tans_filamentation/blob/master/script20160429_filamentRecoveryDivisionRatioss.m"><span>https://github.com/TansLab/Tans_filamentation/blob/master/script20160429_filamentRecoveryDivisionRatioss.m</span></a></p> <p> </p> <p><strong><span>Figure 3</span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>See also</span></strong></p> <p><span><a href="https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m">https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m</a></span></p> <p><span><a href="https://github.com/TansLab/Tans_filamentation/blob/master/script20160422_filamentRecoveryFtslabelLocations.m">https://github.com/TansLab/Tans_filamentation/blob/master/script20160422_filamentRecoveryFtslabelLocations.m</a></span></p> <p><span> </span></p> <p><span>Related files:</span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files for cell morphology properties</span></strong></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos2crop/data/pos2crop-skeletonData.mat</span></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos3crop/data/pos3crop-skeletonData.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files with fluorescence data</span></strong></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos2crop/analysis/straightenedCells/2016-04-07pos2crop_straightFluorData.mat</span></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos3crop/analysis/straightenedCells/2016-04-07pos3crop_straightFluorData.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files with division and lineage data (also supplied above)</span></strong></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos2crop/data/pos2crop-Schnitz.mat</span></p> </td> </tr> <tr> <td> <p><span>2016-04-07_FilaRecovery_asc777/pos3crop/data/pos3crop-Schnitz.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <p><strong><span>Supplemental figure with nucleoid data</span></strong></p> <p><strong><span> </span></strong></p> <p><strong><span>See also</span></strong></p> <p><span><a href="https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m">https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m</a></span></p> <p><span><a href="https://github.com/TansLab/Tans_filamentation/blob/master/script20160422_filamentRecoveryFtslabelLocations.m">https://github.com/TansLab/Tans_filamentation/blob/master/script20160422_filamentRecoveryFtslabelLocations.m</a></span></p> <p><strong><span> </span></strong></p> <p><span>Related files:<br></span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files for cell morphology properties</span></strong></p> </td> </tr> <tr> <td> <p><span>2017-11-08_FilaRecovery_asc1106_hupA-mCherry/pos1cropd/data/pos1cropd-skeletonData.mat</span></p> </td> </tr> <tr> <td> <p><span>2017-10-12_FilaRecovery_hupA-mRuby2/pos1cropa2/data/pos1cropa2-skeletonData.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files with fluorescence data</span></strong></p> </td> </tr> <tr> <td> <p><span>2017-11-08_FilaRecovery_asc1106_hupA-mCherry/pos1cropd/analysis/straightenedCells/2017-11-08pos1cropd_straightFluorData.mat</span></p> </td> </tr> <tr> <td> <p><span>2017-10-12_FilaRecovery_hupA-mRuby2/pos1cropa2/analysis/straightenedCells/2017-10-12pos1cropa2_straightFluorData.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <table> <tbody> <tr> <td> <p><strong><span>Data files with division and lineage data (also supplied above)</span></strong></p> </td> </tr> <tr> <td> <p><span>2017-11-08_FilaRecovery_asc1106_hupA-mCherry/pos1cropd/data/pos1cropd-Schnitz.mat</span></p> </td> </tr> <tr> <td> <p><span>2017-10-12_FilaRecovery_hupA-mRuby2/pos1cropa2/data/pos1cropa2-Schnitz.mat</span></p> </td> </tr> </tbody> </table> <p><span> </span></p> <p><span>Lookup data file: 2017-11-08_FilaRecovery_asc1106_hupA-mCherry/pos1cropd/data/slookup.mat</span></p>
Data with paper "Size Laws and Division Ring Dynamics in Filamentous Escherichia coli cells"
<p>See also the other Zenodo record: https://zenodo.org/records/11401470</p> <p> </p> <p><strong>Data files related to manuscript:</strong></p> <p>Wehrens M, Ershov D, Rozendaal R, Walker N, Schultz D, Kishony R, Levin PA, Tans SJ (2018). “Size Laws and Division Ring Dynamics in Filamentous Escherichia coli cells”. Current Biology.</p> <p><a href="https://doi.org/10.1016/j.cub.2018.02.006">https://doi.org/10.1016/j.cub.2018.02.006</a></p> <p> </p> <p>Currently, single cell experimental time trace data for figures 1, 2 and 4 is added. Additional data will follow.</p> <p><strong> </strong></p> <p><strong>Scripts are available at:</strong></p> <p><a href="https://github.com/TansLab/Tans_filamentation">https://github.com/TansLab/Tans_filamentation</a></p> <p> </p> <p>And you will also need the additional scripts from the repositories:</p> <p><a href="https://github.com/TansLab/Common_libraries">https://github.com/TansLab/Common_libraries</a></p> <p><a href="https://github.com/TansLab/Tans_Schnitzcells">https://github.com/TansLab/Tans_Schnitzcells</a></p> <p> </p> <p><strong>Script that generates figures:</strong></p> <p><a href="https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m">https://github.com/TansLab/Tans_filamentation/blob/master/ershovwehrensallfigures.m</a></p> <p> </p> <p><em>And more specifically, data is loaded, (partially analyzed,) and plotted here:</em></p> <p><a href="https://github.com/TansLab/Tans_filamentation/blob/master/script20160429_filamentRecoveryDivisionRatioss.m">https://github.com/TansLab/Tans_filamentation/blob/master/script20160429_filamentRecoveryDivisionRatioss.m</a></p> <p> </p> <p><strong>Description of the .mat files</strong></p> <p> </p> <p>These .mat files contain the lineage information, which were used to generate figures 1 and 2.</p> <p> </p> <p>Each row corresponds to a cell from birth to division.</p> <p> </p> <p>Most important fields are:</p> <p>P is its parent cell (number referring to the row of the table).</p> <p>E is the daughter cell after this cell divides</p> <p>D is the other daughter cell after this cell divides</p> <p>frame_nrs is in which frame this cell lived</p> <p>areapx is its area in pixels</p> <p> </p> <p>Different methods were used to determine the bacterias length. For the tetracycline experiments, often the field “length_fitNew” was used, which is a higher order polynomial fitted through the bacterium. For the other stress conditions, mostly the field “length_skeleton” was used, which is the length of the skeleton of the bacteria, extrapolated until it reaches the bacterial edge (this was done because in those experiments, these bacteria often had weird shapes that couldn’t be fitted by polynomials).</p> <p> </p> <p>The growth rate of the bacteria is determined by fitting an exponential curve through length information of multiple frames. Given the fluctuation of growth rates, sometimes bacteria grow relatively slow over a certain amount of frames, or relatively fast. Therefor, sometimes the fit is done using more or less frames. The growth rate information can be found in e.g. the parameters 'muP15_fitNew_all','muP9_skeleton_all','muP5_skeleton_all', where mu refers to growth rate, PX indicates X frames around the frame of interest were used for the fit, and fitNew_all or skeleton_all refers respectively to which length parameter was used for the fit.</p> <p> </p> <p>Note that birth sizes and interdivision times, as wel as added length, can be calculated from the above parameters using the data structure. (See also applicable scripts.)</p> <p> </p> <p>The data also contains more fields with information about length and size, and also fields for fluorescence data. The latter is not really applicable here. </p> <p> </p> <p>See also the methods section of the paper for more information.</p> <p> </p> <p><strong>INFORMATION ABOUT THE DATA</strong></p> <p> </p> <p><strong>Files for the SulA condition:</strong></p> <table> <tbody> <tr> <td> <p><strong>Data file</strong></p> </td> <td> <p><strong>Switch time from stress to stress-free condition (min)</strong></p> </td> </tr> <tr> <td> <p>\2016-04-08_FilaRecovery_sulA_recovery_200uM_IPTG\pos1crop\data\pos1crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>\2016-04-08_FilaRecovery_sulA_recovery_200uM_IPTG\pos2crop\data\pos2crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>\2016-04-08_FilaRecovery_sulA_recovery_200uM_IPTG\pos3crop\data\pos3crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>\2016-04-08_FilaRecovery_sulA_recovery_200uM_IPTG\pos4crop\data\pos4crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>\2016-04-08_FilaRecovery_sulA_recovery_200uM_IPTG\pos7crop\data\pos7crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> <p><em>If switch time is zero, recording started at the switch time.</em></p> <p> </p> <p><strong>For the temperature condition</strong></p> <table> <tbody> <tr> <td> <p><strong>Data file</strong></p> </td> <td> <p><strong>Switch time from stress to stress-free condition (min)</strong></p> </td> </tr> <tr> <td> <p>2016-03-23_FilaRecovery_asc777_42C\pos4crop\data\pos4crop-Schnitz.mat</p> </td> <td> <p>450</p> </td> </tr> <tr> <td> <p>2016-04-07_FilaRecovery_asc777\pos2crop\data\pos2crop-Schnitz.mat</p> </td> <td> <p>329</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Delta min tetracycline condition</strong></p> <table> <tbody> <tr> <td> <p><strong>Data file</strong></p> </td> <td> <p><strong>Switch time from stress to stress-free condition (min)</strong></p> </td> </tr> <tr> <td> <p>2017-09-22_FilaRecovery_asc1035_DeltaMinCDE\pos1cropb\data\pos1cropb-Schnitz.mat</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>2017-09-22_FilaRecovery_asc1035_DeltaMinCDE\pos2cropa\data\pos2cropa-Schnitz.mat</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>2017-09-22_FilaRecovery_asc1035_DeltaMinCDE\pos2cropb\data\pos2cropb-Schnitz.mat</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>2017-09-22_FilaRecovery_asc1035_DeltaMinCDE\pos2cropc\data\pos2cropc-Schnitz.mat</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>2017-09-22_FilaRecovery_asc1035_DeltaMinCDE\pos3cropa\data\pos3cropa-Schnitz.mat</p> </td> <td> <p>5</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Tetracycline data</strong></p> <p><em>Only data sets 1 to 5 where used here</em></p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Data file</strong></p> </td> <td> <p><strong>Switch time from stress to stress-free condition (min)</strong></p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\1uM_pos3_long.mat</p> </td> <td> <p>890.9800 </p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\1uM_pos4.mat</p> </td> <td> <p>404.7500 </p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\1uM_pos4_long.mat</p> </td> <td> <p>0 </p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\1uM_pos5.mat</p> </td> <td> <p>529.7600 </p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\1uM_pos5_long.mat</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\2uM_pos2.mat</p> </td> <td> <p>NA</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\2uM_pos4.mat</p> </td> <td> <p>NA</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\2uM_pos6.mat</p> </td> <td> <p>NA</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\10uM_pos1.mat</p> </td> <td> <p>NA</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\10uM_pos3.mat</p> </td> <td> <p>NA</p> </td> </tr> <tr> <td> <p>F schijf AmolfBackup_3april2014\USE_DIV\10uM_pos6_long.mat</p> </td> <td> <p>NA</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Tetracycline data 2 (redundant with above)</strong></p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Data file</strong></p> </td> <td> <p><strong>Switch time from stress to stress-free condition (min)</strong></p> </td> </tr> <tr> <td> <p>2013-12-09\pos3crop\data\pos3crop-Schnitz.mat</p> </td> <td> <p>890.9800 </p> </td> </tr> <tr> <td> <p>2013-09-24\pos4crop\data\pos4crop-Schnitz.mat</p> </td> <td> <p>404.7500 </p> </td> </tr> <tr> <td> <p>2013-12-16\pos4crop\data\pos4crop-Schnitz.mat</p> </td> <td> <p>0 </p> </td> </tr> <tr> <td> <p>2013-09-24\pos5crop\data\pos5crop-Schnitz.mat</p> </td> <td> <p>529.7600 </p> </td> </tr> <tr> <td> <p>2013-12-16\pos5crop\data\pos5crop-Schnitz.mat</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Dataset: Probabilistic work extraction on a classical oscillator beyond the second law
<p>Data set for the article "Probabilistic work extraction on a classical oscillator beyond the second law" , currently published as a preprint on arXiv, and accepted in Physical Review Letters.</p> <p>The preprint and SM have been uploaded for convenience.</p> <p>Inside the compressed file, you will find several folders</p> <p>It contains:</p> <p> </p> <ol> <li><strong>/Exemple trajectories/</strong> <ul> <li> 10 folders named Protocol 0 , Protocol 1 .... each containing the raw data of the 100 first experiments for each protocol. Each protocol was repeated 3000 time to increase the statistics for the article. We provide a representative subset.</li> <li>The Python analysis code "readexperimentalfile.py" . It reads the data in the aforementioned files, and computes the initial potential, the final potential, and the work associated to each protocols. Optionnaly, it saves trajectories used create Fig3 and Fig 4.</li> </ul> </li> <li><strong>/Figures/</strong> <ul> <li>Fig 1 : The pdf file for Fig1. (stochastic2.pdf) as presented in the article. Other formats can be provided on demand.</li> <li>Fig 2: The pdf file for Fig2, Setup.pdf</li> <li>Fig 3: The python code used to create Fig3 , named "plotpotentiel.py". To use it, one need the parameters tuning the initial potential used in the fifth protocol 'fitdepart5.npy', the final potential 'fitfin5.npy' as well as the set of trajectories "zfin5.npy" and "zinit5.npy". All those files were created using the provided python code "readexperimentalfile.py" , and are already provided in the same folder.</li> <li>Fig4: The python code used to create Fig4, named "plottrajex.py". "ztotsubset5.npy" and "lambdasubset5.npy" are provided to directly plot z(t) and lambda(t) during the protocol. "fitdepart5.npy" and 'fitfin5.npy", also created using "readexperimentalfile.py", are needed. </li> <li>Fig5: a) Everything needed to plot the first part of Fig 5. using the python file "workdpdf.py". All the datas of the other experiments are provided, and one can also choose to plot the work probability density function for other protocols (by changing the 5 t o another number. b) "mainfig.py" creates the bottom part of Fig5.</li> </ul> </li> </ol>
Chinese Policy on the Rule of Law and Its Implementation WP3 - list of analysed sources
<p>The Excel file contains a list of resources studied for the WP3 Chinese Policy on the Rule of Law of the project Chinese Conceptualisation of the Rule of Law (CLAW): Challenges for the International Legal Order, funded by the OP JAC Project "MSCA Fellowships at Palacký University II." CZ.02.01.01/00/22_010/0006945 at Palacký University Olomouc, Czech Republic. The list includes original titles, approximate English translations, publication dates, and URLs. The zip file consists of the Zotero snapshots of the documents and the option to export the collection (Zotero RDF). In total, 364 documents in Mandarin Chinese discussing the concept of the rule of law published between 2012 and 2022 were selected. They were freely available on official Chinese websites, e.g., the Communist Party of China, the National People's Congress, and the State Council Information Office. </p> <p> </p> <p>The content analysis of listed resources will be used as a base to generate new open-access content.</p>
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