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opencc-by-4.0Jun 2022View details →

Information related to diatom rDNA 18SV4 ASVs for SOMLIT-Astan and LTER-MC

This repository contains the distribution, taxonomy and sequences of diatom rDNA 18SV4 ASVs from SOMLIT-Astan and LTER-MC.

Supporting Information for "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021". Data Set S1. Extended dataset of all the analyses

This compressed folder contains supporting information related to the Figures in the manuscript: "Data analysis of the unsteadily accelerating GPS and seismic records at Campi Flegrei caldera from 2000 to 2021". Files and folders labeled with G1…n are related to the GPS data, those labeled with H1…n are related to the seismic data. In particular:      Subfolder 1_DATA supports Figure 3 – the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the logarithmic plots of all seismic events and of their energy. It also shows the complete plot leveling data from 1905 to 2010 (modified from del Gaudio et al., 2010). It also includes Figure 2 and Figure 6a-c. Subfolder 2_AnnualRate supports Figure 4 - the annual rate of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the annual rate of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results. It also supports Figure 5 with similar data concerning 2018-2020. Subfolder 3_InverseRate supports Figure S3 - the inverse rate of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; the inverse rate of all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average results, including detailed plots of 2018-2020. Subfolder 4_RateChange supports Figure S2 - the daily rate change of the vertical and horizontal moduli of ground displacement at all analyzed GPS stations; the daily rate change of all seismic events and of their energy. These detail the 2-year, the 6-month, and the 30-day average results, including detailed plots of 2018-2020. Subfolder 5_FourierCoef supports Figure 6 - the Fourier spectrum of the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations. These detail the 2-year, 6-month, and 30-day average results obtained in 2000-2020, 2011-2020, 2018-2020. Also, additional plots that detail other combinations of time domain and part of the Fourier spectrum, thus testing the sensitivity of the main harmonics on the time domain selected. Subfolder 6_ FFM_WaitTime supports Figure 11 – waiting time examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regressions. Subfolder 7_FFM_FailTime also supports Figure 11 – all the results expressed in terms of the failure time tf instead of in terms of the waiting time [tf(t) - t]. Subfolder 8_pFFM_Regression supports Figure 9 - the pFFM examples based on the vertical and the horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events and of their energy. These detail the 2-year, 6-month, and 30-day average rate results, and the 10-year, 5-year and 3-year regression. Subfolder 9_pFFM_Probability supports Figure S4 - pFFM examples based on vertical and horizontal moduli of ground displacement at all analyzed GPS stations; all seismic events, and their energy. These detail the 2-year, 6-month, and 30-day average rates, and the 10-year, 5-year and 3-year regressions. Subfolder 10_BarplotProb supports Figure S5 - results expressed in terms of the mean failure time probability at 2, 5, 10, and 25 years.It also supports Figure S6 - examples based on 6-month, and 30-day average rate results. Subfolder 11_BarplotWaitTime supports Figure S6 - all the results expressed in terms of the waiting time (tf – t) barplot. It also includes Figure S5.

Supporting Information for "Geochemical evidence for diachronous uplift and synchronous collapse of the high elevation Variscan hinterland"

Supplemental data for GLR manuscript submission.

Supporting Information for "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Sets S1-S7.

This compressed folder contains supporting information related to the manuscript: "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Set S1. Catalog of flank eruptions Historical catalog of flank eruptions of Mt. Etna from 1600 to 2018. Data Set S2. Catalog of major earthquakes Macroseismic catalog of Etnean earthquakes from 1800 to 2018. Data Set S3. GIS dataset of Eruptive fissures GIS shapefiles of eruptive fissures at Mt. Etna from 1800 to 2018. UTM WGS84, Zone 33 N. Data Set S4. Tests with ±2 months maximum inter-event time          Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±2 months. Pie charts of the positive values (dark colors), negative values in [-2.5, 0] days (light colors), and lower than -2.5 days (white) are reported. Data Set S5. Tests with dt = 5 days moving window     Conditional rates of major earthquakes less than ±4 months from flank eruptions, obtained assuming dt = 5 days instead of dt = 10 days. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S6. Tests on the eruptions end, including earthquakes in ±2.5 days from the onset Conditional rates of major earthquakes less than ±4 months from flank eruptions end, obtained without excluding the earthquakes occurred in ±2.5 days from the onset. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S7. Summary of inter-event time histograms              Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±4 months, also decomposed according to spatial groups E1-E4 and fault systems F1-F4. Light-colored bars highlight the eruptions > 2850 m.a.s.l.

Raw Data to 'Experimental verification of the area law of mutual information in quantum field theory', arXiv:2206.10563

Absorption images representing the raw data for arXiv:2206.10563 'scan5722.zip' contains the raw data for figures 2 and 3. 'scan5831.zip' and 'scan9617.zip' contain the raw data for figure 5, right and left, respectively. All three datasets, 9617, 5722, and 5831, are used to obtain the data points in figure 4, from low to high temperatures.   Scans 5722 & 5831 The absorption images are numbered consecutively. The first image for scans 5722 and 5831 is taken along the axial (longitudinal) direction with our 'longitudinal' imaging system after 10 ms time of flight (TOF) to measure the atom number balance between the two wells. The measurement is performed before ramping up the DW barrier. Two images are taken in each cycle: One shot with atoms ('1-atomcloud.tif') and a second image to record the intensity of the imaging beam without atoms ('1-withoutatoms.tif'). These two pictures are used to extract the atomic density (see the Matlab script). The second image for scans 5722 and 5831 is taken in the direction of the double-well (DW) separation with our 'transverse' imaging system. The measurement is performed before ramping up the DW barrier. The image is taken after 11.2 ms TOF. The subsequent images record the interference fringes for the different evolution times (again, always pairs '-atomcloud.tif' and '-withoutatoms.tif'). They are taken with our 'vertical' imaging system after 15.6 ms TOF. The imaging direction is perpendicular to the weakly confined direction of the clouds and the DW separation. The recorded evolution times for scan 5722 are -1.9 ms (right before ramping up the DW barrier), 0 ms (right after the DW barrier is ramped up), and then in steps of 2.5 ms until 65 ms. This means that '3-atomcloud.tif' corresponds to -1.9 ms, and '30-atomcloud.tif' corresponds to 65 ms. This completes the 'first repeat'. The next two shots, '31-atomcloud.tif' and '32-atomcloud.tif', belong to the 'second repeat' and are again taken with the 'longitudinal' & 'transverse' imaging systems, respectively. The picture '33-atomcloud.tif' is again taken with the 'vertical' imaging and corresponds to -1.9 ms. And so forth. In the same way, the pictures scan 5831 are ordered. The evolution times (in ms) for these two scans are: scan 5722: -1.9 from 0 to 65 (in steps of 2.5) scan 5831: -1.8, from 0 to 65 (in steps of 2.5) The first time always corresponds to the instant right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up.   Scan 9617 This scan only contains images with the 'vertical' imaging system with 15.6 ms TOF. The evolution times (in ms) are as follows: scan 9617: -2.8, from 0 to 15 (in steps of 1.5),  22, 25, 28 The first time always corresponds to the instant right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up. This means, that '1-atomcloud.tif', '16-atomcloud.tif',  '31-atomcloud.tif' and so on correspond to -2.8 ms, and '15-atomcloud.tif', '30-atomcloud.tif', '45-atomcloud.tif' and so on correspond to 28 ms.   Matlab script In addition to the data, a Matlab script (calc_atomic_density.m) illustrates how to extract the two-dimensional atomic density from the absorption images. It contains all relevant parameters of the imaging systems.

Machine learning methods detect arm movement impairments in a patient with parieto-occipital lesion using only early kinematic information.

This depository contains the data and codes of the paper:  Bosco, A., Bertini C., Filippini M., Foglino C., Fattori P (2022). Machine learning methods detect arm movement impairments in a patient with parieto-occipital lesion using only early kinematic information. Journal of Vision, in press.  Data are provided in mat-file, codes is provided in m-files (Matlab).

Data for The genetics monopolistic industry, as expected, is missing information two inches beyond their nose: in this case, transcripts

De novo transcriptome assembly is one of the many fundamental pieces of new research in genomics. It is, for example, the preferred method for studying non-model organisms, since it is easier and cheaper than building a genome, and reference methods are not possible without an existing genome. The transcriptomes of these organisms can thus reveal novel proteins and their isoforms that are implicated in such unique biological phenomena. This technique is also useful in cancer research as it makes possible to detect potentially significant chimeric transcripts in cancer and normal somatic tissues. Given that the genetics industry is organized in the form of a monopoly controlled by hidden lobbies who also control Academia, all the available software for de novo transcriptome assembly is being developed by academic researchers under the open-source paradigm. We report here, that as anyone could have very easily deduced from past experiences in other industries, this unethical form of organization in the industry is resulting in incompetence whose effects include missing a significant portion of the available information that could be obtained from some genomics studies. In this case, missing transcripts in transcriptome studies. We won't deep in on the consequences, but these could include overpricing, over costs, and failing to achieve the goals of some studies.

Information Extraction in Handwritten Historical Logbooks

Contains the datasets with tables used in the following paper: Information Extraction in Handwritten Historical Logbooks. The pages starting with "vol003" correspond to the Jeannette corpus, while the ones starting with "Albatross" correspond to the Albatross corpus.

Supporting information for 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'

These tables contain data for the manuscript 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'

Electronic Supplementary Information: Impact of a suspension drop onto a hot substrate: diminution of splash and prevention of film boiling

This database includes Electronic Supplementary Information for Soft Matter manuscript: Impact of a suspension drop onto a hot substrate: diminution of splash and prevention of film boiling.   The supplementary videos to Fig. 4:  <ul> <li>supplementary_video_fig_4_a-d.mp4</li> <li>supplementary_video_fig_4_e-h.mp4</li> <li>supplementary_video_fig_4_i-l.mp4</li> </ul>   and the supplementary videos to Fig. 12 (please do not regard to the file name) <ul> <li>supplementary_video_fig_11_a-d.mp4</li> <li>supplementary_video_fig_11_e-h.mp4</li> <li>supplementary_video_fig_11_i-l.mp4</li> </ul>

Description of the Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft & JITA Classification System of Library and Information Science

The two excel files contain data about the collection of the <a href="https://pages.cms.hu-berlin.de/ibi/BHR/">Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft</a> (date of scraping data: March 20, 2021) and the collection of the <a href="http://eprints.rclis.org/view/subjects/"> JITA Classification System of Library and Information Science</a> (date of scraping data: March 20, 2021).

Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition

This file accompanies "A method for estimating thermal energy loads in Canada’s remote and northern communities" by Ian Maynard and Ahmed Abdulla. This supporting information contains: <ul> <li>Calculations and thermal loads of 40 communities discussed in the above paper</li> <li>Heating Degree Hour (HDH) distribution calculations</li> <li>Diagnostics and dataset used for developing a model for predicting annual and monthly thermal loads using ordinary least squares regression</li> </ul>

Supporting Information - Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities

This file accompanies "Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities" by Ian Maynard and Ahmed Abdulla. This supporting information contains: <ul> <li>Nomenclature</li> <li>Data inputs</li> <li>Cost ratios used in cost calculations</li> <li>References</li> <li>Optimization results of 40 communities discussed in the paper above</li> </ul>

Supporting Information: Mapping conduits in two-dimensional heterogeneous karst aquifers using hydraulic tomography

This file contains the supplementary data for a article submitted to Journal of Hydrology.

Supplementary Material for "Joint Inversion Based on Variation of Information - A Crustal Model of Wilkes Land, East Antarctica"

Inversion_Results_Cluster.nc - contains geographical and vertical information of clusters Inversion_Results_RealData_Run1.nc - contains inverted susceptibilities and densities after the first inversion run with high coupling Inversion_Results_RealData_Run2.nc - contains inverted susceptibilities and densities after the second continuous inversion run with low coupling Plot.ipynb - python script for visualization

opencc-zeroAug 2022View details →

INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions

Data, model checkpoints and output files for the paper INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions

Supplemental information data from: "Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars"

This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.

opencc-by-4.0Dec 2021View details →

Ecore version of the meta-model for information dashboards (v3)

The dashboard metamodel is a M2-model instantiated from Ecore, a M3-model in the four-layer metamodel architecture of OMG. This version includes the some modifications to better support the definition of dashboards.

opencc-by-4.0Sep 2022View details →

Supplementary materials for ""Who makes corporates tell more about CSR?"-Research on the influencing factors of environmental information disclosure"

These are supplementary materials and primary data for article“Who makes corporates tell more about CSR?”-Research on the influencing factors of environmental  information disclosure.