cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4153561
title: BugC: C Dataset for Bug Localization

description: The <strong>BuGC </strong>dataset is <strong>a set of 21 C Projects</strong> extracted from GitHub, assorted for research in <strong>Bug Localization</strong>, in the context of open source development. The dataset consists of 36,617 closed issues. Among these, 2462 issues are closed by pull-requests, which gives us the information of <strong>2462 fixed bug reports</strong>, which can be used for bug localization purposes. For each 21 C projects, there are two file formats, i.e., json and xlsx. These files contain information about the issues and pull-requests for the respective projects. Using these files, bug reports data (issues related to a pull-request) can be extracted, which can be used for the Bug Localization purpose.
description: We would like to thank ARiSE Group, Robert Bosch Engineering and Business Solutions Ltd., Bangalore, India for partially funding a part of this work.
DOI: 10.5281/zenodo.4153560
title: BugC: C Dataset for Bug Localization

description: The <strong>BuGC </strong>dataset is <strong>a set of 21 C Projects</strong> extracted from GitHub, assorted for research in <strong>Bug Localization</strong>, in the context of open source development. The dataset consists of 36,617 closed issues. Among these, 2462 issues are closed by pull-requests, which gives us the information of <strong>2462 fixed bug reports</strong>, which can be used for bug localization purposes. For each 21 C projects, there are two file formats, i.e., json and xlsx. These files contain information about the issues and pull-requests for the respective projects. Using these files, bug reports data (issues related to a pull-request) can be extracted, which can be used for the Bug Localization purpose.
description: We would like to thank ARiSE Group, Robert Bosch Engineering and Business Solutions Ltd., Bangalore, India for partially funding a part of this work.
DOI: 10.5281/zenodo.4159017
title: Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

description: 1. Land-use data Meaning of the value in the layers:<br> 11: Paddy field <br> 12: Dry land<br> 21: Forestland<br> 22: Shrubland<br> 23: Sparse woodland<br> 24: Other woodland<br> 31: High coverage grassland<br> 32: Medium coverage grassland<br> 33: Low coverage grassland<br> 41: River canal<br> 42: Lake<br> 43: Reservoir and pond<br> 44: Permanent glacial snow<br> 45: Coastal mud flat <br> 46: Inland tidal flat<br> 51: Urban land<br> 52: Rural residential land<br> 53: Industrial and traffic land<br> 61: Dene<br> 62: Gobi Desert<br> 63: Saline and alkaline land<br> 64: Marshland<br> 65: Bare land<br> 66: Bare rock<br> 67: Other unused land 2. GDP data (Meaning of the value in the layer: yuan/km<sup>2</sup>) 3. Population density data (Meaning of the value in the layer: person/km<sup>2</sup>) 4. Meteorological data temperature data (unit: ℃) perception data(unit:mm) 5. Terrain data including elevation, slope and aspect 6. Vector data including railways, highways, national roads, provincial roads and county roads
DOI: 10.5281/zenodo.4159016
title: Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

description: 1. Land-use data Meaning of the value in the layers:<br> 11: Paddy field <br> 12: Dry land<br> 21: Forestland<br> 22: Shrubland<br> 23: Sparse woodland<br> 24: Other woodland<br> 31: High coverage grassland<br> 32: Medium coverage grassland<br> 33: Low coverage grassland<br> 41: River canal<br> 42: Lake<br> 43: Reservoir and pond<br> 44: Permanent glacial snow<br> 45: Coastal mud flat <br> 46: Inland tidal flat<br> 51: Urban land<br> 52: Rural residential land<br> 53: Industrial and traffic land<br> 61: Dene<br> 62: Gobi Desert<br> 63: Saline and alkaline land<br> 64: Marshland<br> 65: Bare land<br> 66: Bare rock<br> 67: Other unused land 2. GDP data (Meaning of the value in the layer: yuan/km<sup>2</sup>) 3. Population density data (Meaning of the value in the layer: person/km<sup>2</sup>) 4. Meteorological data temperature data (unit: ℃) perception data(unit:mm) 5. Terrain data including elevation, slope and aspect 6. Vector data including railways, highways, national roads, provincial roads and county roads
DOI: 10.6084/m9.figshare.13168112
title: Supplementary Material for: A Case of Bilateral Endogenous <b><i>Candida dubliniensis</i></b> Endophthalmitis Treated with Aggressive Local and Systemic Therapy

description: <i>Candida dubliniensis</i> is an emerging pathogen implicated in a variety of infections in immunocompromised hosts. A 79-year-old male with autoimmune pancytopenia on chronic oral steroid therapy was admitted for suspected sepsis and started on empirical antibiotics and micafungin. He developed floaters and decreased vision while on this regimen and was diagnosed with bilateral candida endophthalmitis. Blood cultures grew <i>C.</i> <i>dubliniensis.</i>Intravenous therapy was switched to voriconazole and amphotericin B. He also received aggressive intravitreal antifungal therapy consisting of 100 μg/0.1 mL voriconazole (4 OD, 3 OS) and 5 μg/0.1 mL amphotericin B (3 OD, 1 OS) over 2 weeks that resulted in local control of infection. The right eye developed a retinal detachment 1 month after initial presentation that was repaired by 25-gauge pars plana vitrectomy, scleral buckle, laser and silicone oil. At the 15-month follow-up exam, subsequent to silicone oil removal, membrane peel and cataract surgery, OD visual acuity had improved to 20/80. OS was phakic and 20/25. Aggressive intravitreal antifungal therapy combined with intravenous therapy may control endophthalmitis and avoid the risks associated with pars plana vitrectomy during acute infection.
DOI: 10.6084/m9.figshare.23740692.v1
title: Additional file 7 of Small extracellular vesicles-transported lncRNA TDRKH-AS1 derived from AOPPs-treated trophoblasts initiates endothelial cells pyroptosis through PDIA4/DDIT4 axis in preeclampsia

description: Additional file 7: Table S6. Inflammatory and pyroptosis associated genes collected from Gene Ontology (GO), MSigDB and genecards databases.
DOI: 10.6084/m9.figshare.21117923
title: Additional file 5 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 5: Supplementary material 5. Table S5. The domain information discovered in MBF1 protein sequences.
DOI: 10.14469/hpc/13812
title: Compound S2. (P,S,S) 13C Data

description: NMR Data
DOI: 10.6084/m9.figshare.10034207
title: Additional file 2: of Whole genomes and transcriptomes reveal adaptation and domestication of pistachio

description: Tables S1-S24. Supplementary tables supporting the manuscript. (XLSX 281 kb)
DOI: 10.6084/m9.figshare.21117920.v1
title: Additional file 4 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 4: Supplementary material 4. Table S4. The motifs information discovered in MBF1 protein sequences.
DOI: 10.6084/m9.figshare.10034207.v1
title: Additional file 2: of Whole genomes and transcriptomes reveal adaptation and domestication of pistachio

description: Tables S1-S24. Supplementary tables supporting the manuscript. (XLSX 281 kb)
DOI: 10.6084/m9.figshare.21117932.v1
title: Additional file 8 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 8: Supplementary material 8. Table S7. The number of functional element regions detected in MBF1 promoter of various speices.
DOI: 10.6084/m9.figshare.23740538.v1
title: Additional file 4 of Identification and characterization of circRNAs in peri-implantation endometrium between Yorkshire and Erhualian pigs

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.14302740.v1
title: Additional file 10 of Opportunistic bacteria with reduced genomes are effective competitors for organic nitrogen compounds in coastal dinoflagellate blooms

description: Additional file 9: Table S8. Uptake of the components of DOM via FT-ICR-MS.
DOI: 10.6084/m9.figshare.14826253
title: Additional file 3 of Genome-wide expression and network analyses of mutants in key brassinosteroid signaling genes

description: Additional file 3. GO enrichment for genes exclusively differentially expressed in each suppressor.
DOI: 10.6084/m9.figshare.14826247.v1
title: Additional file 1 of Genome-wide expression and network analyses of mutants in key brassinosteroid signaling genes

description: Additional file 1. List of differentially expressed genes as compared to WS2 in each line and group membership. (XLSM 104 kb)
DOI: 10.6084/m9.figshare.21117929
title: Additional file 7 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 7: Supplementary material 7. Table S6. The detailed information of cis-elements detected in the MBF1 family of various species.
DOI: 10.6084/m9.figshare.20070790
title: Additional file 1 of Matched comparative study of trifocal bone transport versus induced membrane followed by trifocal bone transport in the treatment of segmental tibial defects caused by posttraumatic osteomyelitis

description: Additional file 1.
DOI: 10.5281/zenodo.10640338
title: Cardiomyocyte Emulator Training Data

description: The data presented in this repository is the training data (data set #1) used in our work Neural network emulation of the human ventricular cardiomyocyte action potential: A tool for more efficient computation in pharmacological studies, available at https://doi.org/10.7554/eLife.91911. The data set was generated by computing 40,000 cardiomyocyte simulations using the ToR-ORd ionic model by Tomek et al. (ToR-ORd-dynCl: an update of the ToR-ORd model of human ventricular cardiomyocyte with dynamic intracellular chloride). It contains both the used maximum conductances and corresponding action potentials (APs).

Usage

The data was created to be easily read into python or matlab based scripts. The file aps.npz and aps.mat contain the two arrays t of shape [T] and aps of shape [N, T]. A python demo script to load the data is given below, and another one for matlab can be found in the README.

Python

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

#Loading the data
max_conds_df = pd.read_csv("max_conds.csv").drop("db_index", axis=1) #Ignore the db index
with np.load("aps.npz") as f:
    t, aps = f["t"], f["aps"]

#Selecting a random AP
nr_aps = max_conds_df.shape[0]
ap_i = np.random.choice(nr_aps)

#Plotting/printing the random AP and its maximum conductances
print("Visualizing the simulated AP for the maximum conductances:")
print(max_conds_df.iloc[ap_i])
plt.figure()
plt.plot(t, aps[ap_i])
plt.show()

Citation

If you use these data in your research, please cite the publication from which the data originated:

Grandits, T., Augustin, C. M., Haase, G., Jost, N., Mirams, G. R., Niederer, S. A., Plank, G., Varró, A., Virág, L., & Jung, A. (2023). Neural network emulation of the human ventricular cardiomyocyte action potential: A tool for more efficient computation in pharmacological studies. eLife, 12. https://doi.org/10.7554/eLife.91911



@article{grandits_neural_2023,    title = {Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies},    volume = {12},    shorttitle = {Neural network emulation of the human ventricular cardiomyocyte action potential},    url = {https://elifesciences.org/reviewed-preprints/91911},    doi = {10.7554/eLife.91911},    language = {en},    journal = {eLife},    author = {Grandits, Thomas and Augustin, Christoph M. and Haase, Gundolf and Jost, Norbert and Mirams, Gary R. and Niederer, Steven A. and Plank, Gernot and Varró, András and Virág, László and Jung, Alexander},    month = dec,    year = {2023}}
DOI: 10.5281/zenodo.10640339
title: Cardiomyocyte Emulator Training Data

description: The data presented in this repository is the training data (data set #1) used in our work Neural network emulation of the human ventricular cardiomyocyte action potential: A tool for more efficient computation in pharmacological studies, available at https://doi.org/10.7554/eLife.91911. The data set was generated by computing 40,000 cardiomyocyte simulations using the ToR-ORd ionic model by Tomek et al. (ToR-ORd-dynCl: an update of the ToR-ORd model of human ventricular cardiomyocyte with dynamic intracellular chloride). It contains both the used maximum conductances and corresponding action potentials (APs).

Usage

The data was created to be easily read into python or matlab based scripts. The file aps.npz and aps.mat contain the two arrays t of shape [T] and aps of shape [N, T]. A python demo script to load the data is given below, and another one for matlab can be found in the README.

Python

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

#Loading the data
max_conds_df = pd.read_csv("max_conds.csv").drop("db_index", axis=1) #Ignore the db index
with np.load("aps.npz") as f:
    t, aps = f["t"], f["aps"]

#Selecting a random AP
nr_aps = max_conds_df.shape[0]
ap_i = np.random.choice(nr_aps)

#Plotting/printing the random AP and its maximum conductances
print("Visualizing the simulated AP for the maximum conductances:")
print(max_conds_df.iloc[ap_i])
plt.figure()
plt.plot(t, aps[ap_i])
plt.show()

Citation

If you use these data in your research, please cite the publication from which the data originated:

Grandits, T., Augustin, C. M., Haase, G., Jost, N., Mirams, G. R., Niederer, S. A., Plank, G., Varró, A., Virág, L., & Jung, A. (2023). Neural network emulation of the human ventricular cardiomyocyte action potential: A tool for more efficient computation in pharmacological studies. eLife, 12. https://doi.org/10.7554/eLife.91911



@article{grandits_neural_2023,    title = {Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies},    volume = {12},    shorttitle = {Neural network emulation of the human ventricular cardiomyocyte action potential},    url = {https://elifesciences.org/reviewed-preprints/91911},    doi = {10.7554/eLife.91911},    language = {en},    journal = {eLife},    author = {Grandits, Thomas and Augustin, Christoph M. and Haase, Gundolf and Jost, Norbert and Mirams, Gary R. and Niederer, Steven A. and Plank, Gernot and Varró, András and Virág, László and Jung, Alexander},    month = dec,    year = {2023}}
DOI: 10.6084/m9.figshare.14826253.v1
title: Additional file 3 of Genome-wide expression and network analyses of mutants in key brassinosteroid signaling genes

description: Additional file 3. GO enrichment for genes exclusively differentially expressed in each suppressor.
DOI: 10.6084/m9.figshare.21117905.v1
title: Additional file 11 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 11: Supplementary material 11. Table S10. The expression abundance of ZaMBF1 family in various tissues. The Genome means the data was analyzed using the public data in Z. armatum, the Transcriptome means the data was obtained from our previous transcriptome database. The detailed information was illustruated in Material and methods of our manuscript.
DOI: 10.6084/m9.figshare.21117911.v1
title: Additional file 1 of Genome-wide characterization of the MBF1 gene family and its expression pattern in different tissues and stresses in Zanthoxylum armatum

description: Additional file 1: Supplementary material 1. Table S1. The information of MBF1 family detected in different plants.
DOI: 10.15468/dl.rnadcj
title: Occurrence Download

description: A dataset containing 1883 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phleum subulatum (Savi) Asch. & Graebn."
 ]
}

 The dataset includes 1883 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073608-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbbmzq
title: Occurrence Download

description: A dataset containing 3338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalaris brachystachys Link"
 ]
}

 The dataset includes 3338 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073609-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxq96m
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosella lamprocantabrica Mateo & Egido"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073612-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g68db9
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus luciliae M.Schmid"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073611-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jekcw5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlogacanthus abbreviatus (Craib) Benoist"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073613-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cwj3w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus lunifolius Gilbert & Thulin"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073614-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw6pxz
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosella lamprocoma (Nägeli & Peter) Schljakov"
 ]
}

 The dataset includes 99 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073615-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jh23p
title: Occurrence Download

description: A dataset containing 19764 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalaris canariensis L."
 ]
}

 The dataset includes 19764 records from 670 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073616-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dyfrm
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlogacanthus annamensis Benoist"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073617-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdczpb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus macgregorii C.B.Rob."
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073618-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ejx9k
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosella lamprogaliciana Mateo & Egido"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073619-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvz5vq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlogacanthus brevis C.B.Clarke"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073620-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3egch
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus macraei Müll.Arg."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073622-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdh938
title: Occurrence Download

description: A dataset containing 5318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalaris coerulescens Desf."
 ]
}

 The dataset includes 5318 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073621-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgavpd
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilosella lathraea (Peter) Soják"
 ]
}

 The dataset includes 61 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073623-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuw4f8
title: Occurrence Download

description: A dataset containing 88134 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is Handroanthus Mattos"
 ]
}

 The dataset includes 88134 records from 591 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073610-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/9zbw-9m63
title: LDDsite727 ostracode surface sample dataset

description: Raw data for the LDDsite727 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ss66-n432
title: LDDsite3193 ostracode surface sample dataset

description: Raw data for the LDDsite3193 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.