cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5bb75f867973f
title: Parkes observations for project P737 semester 2018APRS_17

description: Pulsar observations using the Parkes radio telescope have led to some of the most exciting astronomical results in the last few years.  The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. High precision pulsar timing experiments require cross-coupling in the feed to be measured.  This can only be done using observations of PSR J0437-4715 from rise-to-set.  We propose to undertake such observations and make the results available for any users of the telescope.  We will also use P737 to commission new receivers such as the UWB.
DOI: 10.21227/6k0r-7c46
title: Data for analysis of transparent PET preforms with a constant actual color

description: The data set contains 360 instances of images of transparent PET preforms with a constant actual color. The measured color is varring because of illumination conditions. The measured color variation factor is described as color value correction coeficient.
DOI: 10.5281/zenodo.1446488
title: Nqrs Raw Data To 10.1103/Physrevx.8.021076 Table Vii

description: These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. T1 and T2 measurements were performed using the sequences explained in APPENDIX B. Fitting models (B1), (B2) and (B3) have been applied.

The best-fit parameters for T1, T2 and FWHM can be found in APPENDIX C, TABLE VI.

The names of the files follow the labelling: sampleNr_transitionNr_temperture_sequence type.txt

the organization of the txt-files is as follows:

<strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. inversion time, or echo time)

<strong>Data set</strong>: records stacke on top of each other:

<strong>     real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong>

the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer

<strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the "Obeserve Freq" of the spectrometer during the sequence, (excitiation and detection frequency)

also: filter bandwidth, dwell time, delay time, pulse length ....

the paramter "step size" of the sweep parameter (echo time or inversion time, respectively) is available on request: christian.goesweiner@tugraz.at
DOI: 10.5281/zenodo.1446489
title: Nqrs Raw Data To 10.1103/Physrevx.8.021076 Table Vii

description: These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. T1 and T2 measurements were performed using the sequences explained in APPENDIX B. Fitting models (B1), (B2) and (B3) have been applied.

The best-fit parameters for T1, T2 and FWHM can be found in APPENDIX C, TABLE VI.

The names of the files follow the labelling: sampleNr_transitionNr_temperture_sequence type.txt

the organization of the txt-files is as follows:

<strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. inversion time, or echo time)

<strong>Data set</strong>: records stacke on top of each other:

<strong>     real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong>

the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer

<strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the "Obeserve Freq" of the spectrometer during the sequence, (excitiation and detection frequency)

also: filter bandwidth, dwell time, delay time, pulse length ....

the paramter "step size" of the sweep parameter (echo time or inversion time, respectively) is available on request: christian.goesweiner@tugraz.at
DOI: 10.25919/5bb76350d9ec8
title: Parkes observations for project P456 semester 2018APRS_15

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.17632/9fnhvbm6vw.1
title: Data for: Extended Measurements and an Experimental Accuracy Effective Hamiltonian Model for the 32 and 4+2 States of Ammonia

description: SPFIT input and output files
DOI: 10.5281/zenodo.1445756
title: Widen Field Test Pressure Data - P02 Experiment

description: Hydraulic tomography data from the crosswell pressure test P02.

The data are referenced in the paper:

Vasco, D. W., J. Doetsch, and R. Brauchler (2018).  An extended trajectory-mechanics approach for calculating the path of a pressure transient: Hydraulic tomographic imaging, Water Resources Research, (submitted)

and in

Lochbuhler, T., J. Doetsch, R. Brauchler, and N. Linde (2013).  Structure-coupled joint inversion of geophysical and hydrological data, Geophysics, 78, ID1-ID14, doi: 10.1190/GEO2012-0460.1
DOI: 10.5281/zenodo.1445755
title: Widen Field Test Pressure Data - P02 Experiment

description: Hydraulic tomography data from the crosswell pressure test P02.

The data are referenced in the paper:

Vasco, D. W., J. Doetsch, and R. Brauchler (2018).  An extended trajectory-mechanics approach for calculating the path of a pressure transient: Hydraulic tomographic imaging, Water Resources Research, (submitted)

and in

Lochbuhler, T., J. Doetsch, R. Brauchler, and N. Linde (2013).  Structure-coupled joint inversion of geophysical and hydrological data, Geophysics, 78, ID1-ID14, doi: 10.1190/GEO2012-0460.1
DOI: 10.25919/5bb89ac4617fe
title: Parkes pulsar observations with undefined project IDs for 2018_BPSR_13

description: Parkes pulsar observations with undefined project IDs for 2018.

This collection contains observations from project P955.
DOI: 10.5281/zenodo.1445865
title: ANN development + final testing datasets

description: <strong>File name definitions:</strong>

'...v_50_175_250_300...'  - dataset for velocity ranges [50, 175] + [250, 300] m/s

'...v_175_250...'  - dataset for velocity range [175, 250] m/s

'ANNdevelop...'  - used to perform 9 parametric sub-analyses where, in each one, many ANNs are developed (trained, validated and tested) and the one yielding the best results is selected

'ANNtest...'  - used to test the best ANN from each aforementioned parametric sub-analysis, aiming to find the best ANN model; this dataset includes the 'ANNdevelop...' counterpart

 

<strong>Where to find the input (independent) and target (dependent) variable values for each dataset/excel ?</strong>

input values in 'IN' sheet 

target values in 'TARGET' sheet

 

<strong>Where to find the results from the best ANN model (for each target/output variable and each velocity range)?</strong>

open the corresponding excel file and the expected (target) vs ANN (output) results are written in 'TARGET vs OUTPUT' sheet

 

 

<strong>Check reference below</strong> (to be added when the paper is published)

https://www.researchgate.net/publication/328849817_11_Neural_Networks_-_Max_Disp_-_Railway_Beams
DOI: 10.5281/zenodo.1445866
title: Ann Development + Final Testing Datasets

description: <strong>see version 2</strong>
DOI: 10.17603/ds2nx12
title: Simulation of Typhoon Haiyan in the Philippines and Similar Synthetic Storms

description: This project contains files for running the PADCIRC storm surge model using data for Typhoon Haiyan (https://en.wikipedia.org/wiki/Typhoon_Haiyan), one of the strongest typhoons ever recorded.  The project contains PADCIRC models for the Pacific Ocean around the Philippines Islands, a nodal attributes file, and a parameter file (fort.15).  A wind file for Typhoon Haiyan was obtained from forecast data.  In addition, similar hurricanes with different tracks were created to determine the impacts from similar storms on other parts of the Philippines.
DOI: 10.7912/d2/12
title: Resident Assistants: Secondary trauma and burnout
DOI: 10.18430/m36dlk
title: X-ray diffraction data for the crystal structure of DNA polymerase III subunit beta from Rickettsia rickettsii (6DLK)
DOI: 10.18430/m36mjn
title: X-ray diffraction data for the crystal structure of an organic hydroperoxide resistance protein OsmC, predicted redox protein, regulator of sulfide bond formation from Legionella pneumophila (6MJN)
DOI: 10.18430/m36mke
title: X-ray diffraction data for the crystal Structure of Peptidylprolyl Isomerase from Naegleria fowleri with bound FK506 (6MKE)
DOI: 10.17632/7b9mb2dpy2.1
title: Data for: Design, synthesis, and systematic evaluation of 4-arylpiperazine aryl ether and 4-benzylpiperidine aryl ether derivatives as inhibitors of monoamine neurotransmitters reuptake
DOI: 10.5281/zenodo.1447199
title: Global Landform And Lithology Class At 250 M Based On The Usgs Global Ecosystem Map

description: Layers include: lithology (16) and landform (7) indicator maps (0-100%). Derived from the USGS Global Ecosystem Map (https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/) i.e. the EcoTapestry map with water bodies masked out. Antartica is not included.

All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:


	dtm = theme: digital terrain models / relief and soil,
	lithology = variable: lithological class,
	usgs.ecotapestry = determination method: USGS Global Ecosystem Map,
	p = probability 0-100%,
	250m = spatial resolution / block support: 1 km,
	s0..0cm = vertical reference: land surface,
	2014 = time reference: year 2014,
	v1.0 = version number: 1.0,
description: {"references": ["Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D.Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. D\u00fcrr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer, 2014, A New Map of Global Ecological Land Units \u2013 An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages.", "Hartmann, J., & Moosdorf, N. (2012). The new global lithological map database GLiM: A representation of rock properties at the Earth surface. Geochemistry, Geophysics, Geosystems, 13(12)."]}
DOI: 10.17632/pyf599cdz9.1
title: Data for: Design, synthesis, and systematic evaluation of 4-arylpiperazine aryl ether and 4-benzylpiperidine aryl ether derivatives as inhibitors of monoamine neurotransmitters reuptake

description: NMR, MS and other spectroscopy of compounds. Table & Figure
DOI: 10.5281/zenodo.1445912
title: ANN development + final testing datasets

description: <strong>File name definitions:</strong>

'...v_50_175_250_300...'  - dataset for velocity ranges [50, 175] + [250, 300] m/s

'...v_175_250...'  - dataset for velocity range [175, 250] m/s

'ANNdevelop...'  - used to perform 9 parametric sub-analyses where, in each one, many ANNs are developed (trained, validated and tested) and the one yielding the best results is selected

'ANNtest...'  - used to test the best ANN from each aforementioned parametric sub-analysis, aiming to find the best ANN model; this dataset includes the 'ANNdevelop...' counterpart

 

<strong>Where to find the input (independent) and target (dependent) variable values for each dataset/excel ?</strong>

input values in 'IN' sheet 

target values in 'TARGET' sheet

 

<strong>Where to find the results from the best ANN model (for each target/output variable and each velocity range)?</strong>

open the corresponding excel file and the expected (target) vs ANN (output) results are written in 'TARGET vs OUTPUT' sheet

 

 

<strong>Check reference below</strong> (to be added when the paper is published)

https://www.researchgate.net/publication/328849817_11_Neural_Networks_-_Max_Disp_-_Railway_Beams
DOI: 10.7910/dvn/s7y4kz/jmqlgh
title: Xyla .jpg
DOI: 10.7910/dvn/s7y4kz/po2873
title: Prot.jpg
DOI: 10.18119/n98c7q
title: Epithelial Mesenchymal Transition
DOI: 10.3886/e105383v1-8646
title: China, Europe & Great Divergence

description: This is the replication package for  "China, Europe and the Great Divergence: A Study in Historical national Accounting". As a result of recent
advances in historical national accounting, estimates of GDP per capita are now
available for a number of European economies back to the medieval period,
including Britain, the Netherlands, Italy and Spain. The approach has also been
extended to Asian economies, including India and Japan. So far, however, China,
which has been at the center of the Great Divergence debate, has been absent
from this approach. This paper adds China to the picture and shows that the Great Divergence began earlier than originally
suggested by the California School, but later than implied by older Eurocentric
writers.
description: Total population and economic activity in China, Great Britain and Western Europe
DOI: 10.7910/dvn/s7y4kz
title: Replication Data for: Screening of protease, cellulase, amylase and xylanase from the salt-tolerant and thermostable marine Bacillus subtilis strain SR60
DOI: 10.7910/dvn/s7y4kz/dadppc
title: Amy.jpg
DOI: 10.7910/dvn/s7y4kz/jwih0o
title: Filogenia.PNG
DOI: 10.7910/dvn/s7y4kz/usckwz
title: Cell.jpg
DOI: 10.5281/zenodo.1445994
title: Probing Rényi Entanglement Entropies via Randomized Measurements

description: The data contained here is for the four figures in the main text of the manuscript Probing Rényi Entanglement Entropies via Randomized Measurements, which is available on the arXiv:<em>1806.05747. </em> The data is contained in tab delimited .csv files.
DOI: 10.5281/zenodo.1445995
title: Probing Rényi Entanglement Entropies Via Randomized Measurements

description: The data contained here is for the four figures in the main text of the manuscript Probing Rényi Entanglement Entropies via Randomized Measurements, which is available on the arXiv:<em>1806.05747. </em> The data is contained in tab delimited .csv files.
DOI: 10.17632/8jnrnkz8dw.1
title: Data for: Dynamics of Monetary Policy Spillover: The Role of Exchange Rate Regimes

description: The R code in the dataset estimates the spillover index (Diebold & Yilmaz, 2009) for short-term interest rates in the AEs and the EMEs . The file Replication.xlsx contains the interest rates in first differenced format. The file Controls.xlsx contains the exogenous variables to be used as a part of estimation. The code can be used to replicate Table 1, Figure 3 and Figure 4 of the study. The estimation of spillover index has been done using the package "fastSOM", provided by Stefan Kloessner with contributions by Sven Wagner. Please refer to Kloessner, S., Wagner, S. (2013). fastSOM. R package version 1.0.0.
DOI: 10.5281/zenodo.1445516
title: Practica_1_Vcf

description: Master en Biologia Computacional

Course: Genomics Data Analysis and Visualization

Lesson1: Read mapping and variant calling
DOI: 10.17632/65thc93rkw.1
title: Data for: Disciplinary, Institutional, and Individual Factors Affecting Researchers’ Depositing Articles in Institutional Repository: An Empirical Analysis

description: The online survey was initially conducted along with another study focusing on researchers’ article sharing through scholarly social media, from late November, 2016 to mid-February, 2017. A total of 2,532 potential survey participants were asked whether they are aware of IRs and/or scholarly social media (i.e., ResearchGate), and those who were aware of IRs in their academic institutions were led to take the survey for this research. A total of 122 initial responses were received for this research (compared to 303 initial responses for the other survey), and only 109 out of 122 initial responses were considered valid because participants completed more than 80% of the survey questionnaire and responded to the items inquiring about article depositing behaviors through IRs as an outcome variable. In order to secure more responses for this research, we made the same online survey available from mid-October to late December, 2017. A total of 927 potential survey participants were invited to take the IR survey; rather than excluding anyone who was unaware of IRs like at the administration of the survey the first time, we provided some explanations about IRs at the beginning of the survey during the second administration of this survey. As a result, all the potential participants were able to take the IR survey. We received a total of 135 partial and full responses from the 2nd time the survey was administered, but only 112 responses were found to be valid for data analysis (i.e., more than 80% of questions including the question about article depositing behavior were answered). From administering the survey on two separate occasions, we received a total of 221 valid responses (109 responses from the 1st time the survey was administered and 112 responses from the 2nd time the survey was administered), and those 221 responses were used for final data analysis.
DOI: 10.5281/zenodo.1442707
title: Cross-Modal (Text And Figures) Analysis Of A Scientific Corpus From Semantic Scholar - Images

description: In this notebook we show the application of cross-modal techniques to improve the categorization of scientific papers through content related to figures, using both the textual part (captions) and the visual part (figures, diagrams, images) jointly. To this purpose, we use several CNN models and execute some experiments, illustrating our approach. This deposit contains high quality versions of the images used in the analysis.
DOI: 10.5281/zenodo.1442708
title: Cross-Modal (Text And Figures) Analysis Of A Scientific Corpus From Semantic Scholar - Images

description: In this notebook we show the application of cross-modal techniques to improve the categorization of scientific papers through content related to figures, using both the textual part (captions) and the visual part (figures, diagrams, images) jointly. To this purpose, we use several CNN models and execute some experiments, illustrating our approach. This deposit contains high quality versions of the images used in the analysis.
DOI: 10.15129/7cdfd277-2091-4b50-b073-0b039d1b83f1
title: Data for: "Broadband 1-3 Piezoelectric Composite Transducer Design using Sierpinski Gasket Fractal Geometry"

description: The simulated and experimental Matlab data sets (.mat) of: The transmit voltage response (TVR), correlated to Fig.8 and Fig.15;  open circuit response (OCV), correlated to Fig.9 and Fig.16; Pulse Echo response,correlated to Fig.10 and Fig.18 and impedance response, correlated to Fig.14.
DOI: 10.17632/wxtbwyjnfd.1
title: DATASET: Adaptation and psychometrics proprieties of the Italian version of Pro-Environmental Behaviours Scale (PEBS)

description: CFA_I-PEBS: dataset for confirmatory factor analysis and reliability of Italian version of Pro-Environmental-Behaviour Scale testRetest_convergent_VALIDITY_I-PEBS: dataset for test-Retest and convergent validity of the I-PEBS
DOI: 10.17632/wxtbwyjnfd.2
title: DATASET: Adaptation and psychometrics proprieties of the Italian version of Pro-Environmental Behaviours Scale (PEBS)

description: CFA_I-PEBS: dataset for confirmatory factor analysis and reliability of Italian version of Pro-Environmental-Behaviour Scale testRetest_convergent_VALIDITY_I-PEBS: dataset for test-Retest and convergent validity of the I-PEBS
DOI: 10.3886/e105721v2
title: Survey of Direct-to-Consumer Genetics Testing Customers and Third-party Interpretation Tools

description: Direct-to-consumer (DTC) genetic testing customers were recruited from various social media venues (see README.html for details) and surveyed about their access and use of their raw genetic data in third-party interpretation tools.
description: web-based survey~~
description: Convenience sample
DOI: 10.17632/88567wjhn3.1
title: Data for: When Do Retail Investors Pay Attention to Precious Commodities?

description: Full Data of the various empirical tests (XLS+ZIP)
DOI: 10.17632/8mm9c8wgy8.1
title: DSM4/6/8 data

description: Sample discovery and fragmentation files, pLink and pLabel out put
DOI: 10.17632/fky6dkhmb3.1
title: Data S1: Technical drawings of adaptive light-sheet microscope, computational tools for image analysis, and dynamic cellular atlas of mouse development

description: This data file contains the following resources: 1) A complete blueprint of the adaptive multi-view light-sheet microscope for mouse imaging, including technical drawings of the microscope’s 77 types of custom mechanical components, assembly illustrations for the microscope’s 28 types of multi-part assemblies, and parts list of all custom and commercial mechanical microscope components. 2) Computational tools for image analysis, including software modules for KLB image compression, block-matching multi-view/time-lapse image registration, multi-view image deconvolution, division detection with a convolutional neural network, TGMM 2.0 cell tracking with a machine-learning module, statistical vector flow (SVF) analysis, interactive 4D visualization of SVF databases, spatiotemporal registration of multiple embryos with TARDIS, and average embryo database query using external label masks. 3) Dynamic cellular atlas of mouse development, including databases of cell tracks with tissue annotations for four embryos (TARDIS embryos A-D), an interactive visualization of annotated cell tracks for TARDIS embryo A, database of cell divisions for TARDIS embryo A, landmark annotations in the average embryo, TARDIS statistical fate map (statistical integration of four embryos), the average embryo (statistical integration of four embryos), database of tissue morphodynamics for TARDIS embryo A, and the TARDIS database of tissue morphodynamics (statistical integration of four embryos).
DOI: 10.17632/jktyjvy9hg.1
title: The Chromatin Reader ZMYND8 Regulates Igh Enhancers to Promote Immunoglobulin Class Switch Recombination. Delgado-Benito & Rosen et al

description: Original imaging and western blot data used to generate panels in figures 1, S1, S2, and S3.
DOI: 10.17632/tt69xggsy2.1
title: Biochemical reactions from KEGG

description: KEGG metabolic pathway parsed in a biochemichal reaction matrix.
DOI: 10.1285/i22808949a7n1p1
title: Saggi / Essays