cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4412131
title: Replication Package for the Paper: "Will Data Influence the Experiment Results?: A Replication Study of Automatic Identification of Decisions"

description: This is the replication package for the paper: "Will Data Influence the Experiment Results?: A Replication Study of Automatic Identification of Decisions". It contains the source code and dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package below. <strong>1. main_code folder</strong> <em>automatic_approach.py </em>contains the main source code of the automatic approach for identifying decisions in our experiment, which is conducted on MacOs and Python 3.7.9. <strong>Note that you may get slightly</strong> <strong>different experiment results when conducting the experiments on different environment configurations.</strong> <em>requirement.txt</em> records all the installation packages and their version numbers needed for the current program to run. You can use "<em>pip install -r requirement.txt</em>" to rebuild the project and install all dependencies. <strong>Note that you may get slightly different experiment results when using different packages or versions. </strong> <strong>2. dataset folder</strong> <em>EASE2020 - 650 decisions.xlsx </em>contains 650 decision sentences from our previous work (EASE2020) <em>EASE2020 - 650 non-decisions.xlsx </em>contains 650 non-decision sentences from our previous work (EASE2020) <em>Our 844 relabeled decisions.xlsx</em> contains 844 relabeled decisions in this work. <em>Our 750 assumptions.xlsx</em> contains 750 assumptions from our previous work (APSEC2019) <strong>3. RQ1 folder</strong> <em>experiment_RQ1.py</em> contains the main source code of the experiment for answering RQ1, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em> <strong>4. RQ2 folder</strong> <em>experiment_RQ2.py</em> contains the main source code of the experiment for answering RQ2, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em> <strong>5. RQ3 folder</strong> <em>experiment_RQ3.py</em> contains the main source code of the experiment for answering RQ3, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em>
DOI: 10.6084/m9.figshare.14987166
title: Integral.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic.<br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.6084/m9.figshare.14987163
title: lambda.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic.<br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.6084/m9.figshare.14987163.v1
title: lambda.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic.<br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.6084/m9.figshare.14987169.v1
title: fvcAsymptotics.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic. <br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.6084/m9.figshare.14987166.v1
title: Integral.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic.<br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.6084/m9.figshare.14987169
title: fvcAsymptotics.nc

description: Ecohydrological metrics of vegetation over Africa at 0.0417° resolution. The data are derived from the Fraction of Vegetation Cover (FVC) product estimated by Trigo et al., 2011 using the retrievals of the geostationary satellite Meteosat Second Generation. The data consist 3 files as: (i) asymptotic minimum and maximum FVC, (ii) FVC integral over decay period, and duration of the corresponding period (iii) the decay rate of FVC during dry-down. Files (ii) and (iii) has variation as a quality diagnostic. In addition, (iii) has number of convergences as another quality diagnostic. <br>Dataset Reference: Küçük Ç., Koirala S., Carvalhais N., Miralles D.G., Reichstein M., and Jung M. (2020) Characterising the response of vegetation cover to water limitation in Africa using geostationary satellites.
DOI: 10.5281/zenodo.5105865
title: Laboratory data of measurements conducted on an n-decane saturated limestone sample using the forced-oscillation method

description: This supporting information provides the numerical results of the laboratory experiments conducted on an n-decane saturated limestone sample with varying dead fluid volume. The supporting information includes: (1) the extensional attenuation, Poisson ratio, elastic moduli and strains in the rock measured at 0.1 Hz with the dead volume varying from 2 ml to 260 ml and also with the open fluid line, and (2) the frequency dependences of the attenuation, elastic moduli, Poisson ratio and strains obtained in the frequency range from 0.1 Hz to 120 Hz.
DOI: 10.5281/zenodo.5105864
title: Laboratory data of measurements conducted on an n-decane saturated limestone sample using the forced-oscillation method

description: This supporting information provides the numerical results of the laboratory experiments conducted on an n-decane saturated limestone sample with varying dead fluid volume. The supporting information includes: (1) the extensional attenuation, Poisson ratio, elastic moduli and strains in the rock measured at 0.1 Hz with the dead volume varying from 2 ml to 260 ml and also with the open fluid line, and (2) the frequency dependences of the attenuation, elastic moduli, Poisson ratio and strains obtained in the frequency range from 0.1 Hz to 120 Hz.
DOI: 10.5281/zenodo.5094270
title: Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment

description: This package contains all the code necessary to reproduce figures and tables in Choudhary and Limodio (forthcoming). "Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment" in the Review of Economic Studies. Instructions are also given about accessing the data.
DOI: 10.5281/zenodo.4956632
title: Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment

description: This package contains all the code necessary to reproduce figures and tables in Choudhary and Limodio (forthcoming). "Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment" in the Review of Economic Studies. Instructions are also given about accessing the data.
DOI: 10.6084/m9.figshare.14987133
title: Supplementary Material for: Diagnostic Accuracy of Trichoscopy in Inflammatory Scalp Diseases: A Systematic Review

description: <b><i>Background:</i></b> The common inflammatory scalp diseases, such as psoriasis, seborrheic dermatitis, lichen planopilaris, discoid lupus erythematosus, contact dermatitis, or pemphigus may share similar clinical features. <b><i>Objective:</i></b> To identify and systematically review the available evidence on the accuracy of trichoscopy in inflammatory scalp disorders. <b><i>Methods:</i></b> A systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 58 articles were included in the analysis. <b><i>Results:</i></b> The following trichoscopy features were found to show the highest specificity for the respective diseases: in psoriasis: diffuse scaling, simple and twisted red loops, red dots and globules, and glomerular vessels; in seborrheic dermatitis: atypical vessels, thin arborizing vessels, and structureless red areas; in discoid lupus erythematosus: follicular plugs and erythema encircling follicles; in lichen planopilaris: milky red areas or fibrotic patches; in contact dermatitis: twisted red loops; in pemphigus foliaceus: white polygonal structures and serpentine vessels; in pemphigus vulgaris: red dots with whitish halo and lace-like vessels; and in dermatomyositis: lake-like vascular structures. <b><i>Limitations:</i></b> Different nomenclature and variability in parameters, which were analyzed in different studies. <b><i>Conclusion:</i></b> This systemic analysis indicates that trichoscopy may be used with high accuracy in the differential diagnosis of inflammatory scalp diseases.
DOI: 10.5281/zenodo.5105917
title: Replication Package for the Paper: Characteristics and Challenges of Low-Code Development: The Practitioners' Perspective

description: This is the replication package for the paper: "Characteristics and Challenges of Low-Code Development: The Practitioners’ Perspective". It contains the dataset collected from online developer communities and the data labelling and encoding file of this study. In the meanwhile, we provide a brief description of the files. <strong>1. Dataset folder</strong> includes the posts collected from Stack Overflow and Reddit. <strong>2. Data Labelling & Encoding.mx20</strong> is the results of data labelling and encoding that were analyzed by the MAXQDA tool. We extracted data from the posts, labelled them according to the RQs, and encoded the extracted data using Constant Comparison. The file can be opened by MAXQDA 20 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download.
DOI: 10.5281/zenodo.4772145
title: Replication Package for the Paper: Characteristics and Challenges of Low-Code Development: The Practitioners' Perspective

description: This is the replication package for the paper: "Characteristics and Challenges of Low-Code Development: The Practitioners’ Perspective". It contains the dataset collected from online developer communities and the data labelling and encoding file of this study. In the meanwhile, we provide a brief description of the files. <strong>1. Dataset folder</strong> includes the posts collected from Stack Overflow and Reddit. <strong>2. Data Labelling & Encoding.mx20</strong> is the results of data labelling and encoding that were analyzed by the MAXQDA tool. We extracted data from the posts, labelled them according to the RQs, and encoded the extracted data using Constant Comparison. The file can be opened by MAXQDA 20 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download.
DOI: 10.5519/qd.1kqvol1o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8189 records)
DOI: 10.5281/zenodo.5016845
title: Seismological dataset for 2018 West Bohemia earthquake swarm

description: Dataset used in the study: T. Eulenfeld (2020), Toward source region tomography with inter-source interferometry: Shear wave velocity from 2018 West Bohemia swarm earthquakes, <em>Journal of Geophysical Research: Solid Earth</em>, 125, e2020JB019931, doi: 10.1029/2020JB019931. The dataset includes HYPODD pha file with relocated earthquake catalog HYPODD pha file with relocated earthquake catalog of selected high quality events (Eulenfeld, 2020) Text file with focal mechanisms of 13 largest earthquakes Text file with coordinates of 9 WEBNET stations StationXML file with coordinate and response information of 9 WEBNET stations (prepared from RESP files by T. Eulenfeld) MSEED files of waveforms of earthquakes Citation for waveforms: Institute of Geophysics, Academy of Sciences of the Czech Republic (1991): West Bohemia Local Seismic Network. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. 10.7914/SN/WB Citation for earthquake catalog: Bachura M, Fischer T, Doubravová J, Horálek J, From earthquake swarm to a main shock–aftershocks: the 2018 activity in West Bohemia/Vogtland (2021), <em>Geophysical Journal International</em>, 224 (33): 1835–1848, doi: 10.1093/gji/ggaa523 Citation for focal mechanisms: Plenefisch T and Barth L (2019), The May 2018 earthquake swarm in Vogtland/NW-Bohemia: Spatiotemporal evolution and focal mechanism determinations, in Geophysical Research Abstracts, volume 21, EGU2019–9356 Version 2: Version 1 of the data set included only waveforms for earthquakes with magnitude larger than 1.8, version 2 of the data set includes almost all waveforms for earthquakes listed in the catalog Added StationXML file Added catalog with selected high quality events
DOI: 10.5281/zenodo.5101541
title: Kopaitic Island gentoo penguins (complete synoptic survey dataset)

description: These represent the unprocessed, "fresh out the instrument" datasets for Gentoo penguins instrumented at Kopaitic Island, northwestern Antarctic Peninsula during the austral summer 2018-2019. Instrumentation was using Technosmart Axy-trek and AGM devices, with proprietary X-Manager software used to extract and save the data.
DOI: 10.5281/zenodo.5101540
title: Kopaitic Island gentoo penguins (complete synoptic survey dataset)

description: These represent the unprocessed, "fresh out the instrument" datasets for Gentoo penguins instrumented at Kopaitic Island, northwestern Antarctic Peninsula during the austral summer 2018-2019. Instrumentation was using Technosmart Axy-trek and AGM devices, with proprietary X-Manager software used to extract and save the data.
DOI: 10.5281/zenodo.5105719
title: ACORBA: Automated workflow to measure Arabidopsis thaliana root tip angle dynamic

description: Raw data linked to the research article "ACORBA: Automated workflow to measure Arabidopsis thaliana root tip angle dynamic"
DOI: 10.5281/zenodo.5105718
title: ACORBA: Automated workflow to measure Arabidopsis thaliana root tip angle dynamic

description: Raw data linked to the research article "ACORBA: Automated workflow to measure Arabidopsis thaliana root tip angle dynamic"
DOI: 10.25646/8806
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5519/qd.dg80iwjz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8189 records)
DOI: 10.17632/jd6pygvcsm.2
title: Distribution and Transport of Microplastic and Fine Particulate Organic Matter in Urban Streams

description: Dataset to accompany research article Vincent and Hoellein in Ecological Applications. A century of museum specimens reveal increasing microplastic concentrations in freshwater fish. Analysis of microplastics and fine particulate organic matter movement in urban streams suggests rivers are less retentive of microplastics than FPOM, but both particles are retained in similar locations. Due to slow degradation, individual plastic particles can be transported longer distances prior to mineralization than FPOM, making it likely that microplastic particles will encounter larger bodies of water and interact with various aquatic biota in the process.
DOI: 10.6084/m9.figshare.14987175.v1
title: Data for "A case of cooperative breeding in the European Starling, Sturnus vulgaris"

description: Two datasets used in the natural history note "A case of cooperative breeding in the European Starling, <i>Sturnus vulgaris</i>", one is a record of the observations themselves, the other is the dataset used for the ancestral state estimation of cooperative breeding in starlings (the phylogeny and R code used is also included here).
DOI: 10.6084/m9.figshare.14987175
title: Data for "A case of cooperative breeding in the European Starling, Sturnus vulgaris"

description: Two datasets used in the natural history note "A case of cooperative breeding in the European Starling, <i>Sturnus vulgaris</i>", one is a record of the observations themselves, the other is the dataset used for the ancestral state estimation of cooperative breeding in starlings (the phylogeny and R code used is also included here).
DOI: 10.18716/nmrshiftdb2/76798
title: NMR data for [2-(benzenesulfonyl)-4-bromopyrazol-3-yl]-trimethylsilane
DOI: 10.5281/zenodo.5105874
title: Source Data for "Imaging biological tissue with high-throughput single-pixel compressive holography"

description: This file contains five subfolders, which are archived with relevant data that are necessary for reconstructing the holographic images of biological samples and resolution targets, respectively. <br> Here we introduce in order:<br> 1. 'dataset 1' is prepared for holographic reconstruction of stained tissue from mouse tails;<br> 2. 'dataset 2' is provided for holographic reconstruction of 80-um unstained tissue from mouse brains.<br> 3. 'dataset 3' is provided for verification of amplitude resolution in large-FOV mode;<br> 4. 'dataset 4' is provided for verification of amplitude resolution in high-resolution mode;<br> 5. 'dataset 5' is provided for verification of phase resolution in high-resolution mode;<br> 6. 'additional dataset 1' is prepared for additional holographic reconstruction of another stained tissue from mouse tails;<br> 7. 'additional dataset 2' is prepared for additional holographic reconstruction of 100-um unstained tissue from mouse brains;<br> 8. 'additional dataset 3' is prepared for additional holographic reconstruction of 120-um unstained tissue from mouse brains;<br> 9. 'additional dataset 4' is prepared for additional holographic reconstruction of 10-um unstained tissue from mouse brains; Both subfolders have the same structures, including the MATLAB data and raw data collected from the data acquisition card, which are necessary for holographic imaging reconstruction.<br> Here we introduce in order:<br> *) biological_sample.mat: The raw data of imaging biological sample. The format of the data has been converted from .tdms to .mat file. *) target_sample.mat: The raw data of imaging resolution target. The format of the data has been converted from .tdms to .mat file. *) background_curvature.mat: The raw data used to correct for phase contaminations from system aberrations. The format of the data has been converted from .tdms to .mat file. *) biological_sample_rawdata.tdms: The raw data of imaging biological sample. The data was collected through DAC and was in the format of TDMS. *) target_sample_rawdata.tdms: The raw data of imaging resolution target. The data was collected through DAC and was in the format of TDMS. *) background_curvature_rawdata.tdms: The raw data used to correct for phase contaminations from system aberrations. The data was collected through DAC and was in the format of TDMS.<br>