cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22008/fk2/ohjwhs/cz25ex
title: G100_Neria_61V1N_Midternæs_61V2N_DescriptiveText.pdf

description: :unav
DOI: 10.22008/fk2/ohjwhs/rjtpma
title: G100_Neria_61V1_N_400dpi.pdf

description: :unav
DOI: 10.5281/zenodo.5785785
title: Dataset for "Numerical methods for the detection of phase defect structures in excitable media"

description: This archive contains the numerical methods presented in the publication "Numerical methods for the detection of phase defect structures in excitable media" as well as the data sets these methods have been applied on. The Python module for Ithildin (py_ithildin.zip) contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (scripts-pdl-detection.zip). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The second variable for the optical data (optical_20200204114234_v.npy) is a delayed version of the first variable. The other files contain simulation results from several finite differences simulations of the mono-domain model. For details, see our paper.
DOI: 10.5281/zenodo.5785939
title: Test and numerical data of a vapour-injection scroll compressor in a heat pump with R1234ze(E)

description: The dataset contains the experimental results of a water-to-water heat pump tested at the lab for different water temperatures. The refrigerant used is the HFO R1234ze(E). The scroll compressor is equipped with an eco port. The numerical results of a validated semi-empirical model are also included for a standard suction pressure drop model and an improved one.
DOI: 10.5281/zenodo.5785938
title: Test and numerical data of a vapour-injection scroll compressor in a heat pump with R1234ze(E)

description: The dataset contains the experimental results of a water-to-water heat pump tested at the lab for different water temperatures. The refrigerant used is the HFO R1234ze(E). The scroll compressor is equipped with an eco port. The numerical results of a validated semi-empirical model are also included for a standard suction pressure drop model and an improved one.
DOI: 10.5281/zenodo.5786045
title: Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y5 & Y6

description: A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2000 (Y5) and 2001 (Y6).
DOI: 10.5281/zenodo.5786044
title: Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y5 & Y6

description: A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 2000 (Y5) and 2001 (Y6).
DOI: 10.14457/cu.the.2013.1989
title: Production of hydrogen and methane from alcohol wastewater using two-stage upflow anaerobic sludge blanket reactors
DOI: 10.14457/cu.the.2013.1990
title: Effects of salinity on microemulsion based monoglyceride oily soil detergency using an extended surfactant
DOI: 10.14457/cu.the.2013.1991
title: Ethylene epoxidation in a low-temperature parallel plate dielectric barrier discharge system with two dielectric layers
DOI: 10.22008/fk2/yznlnh/7c9nga
title: G100_Nerutussoq_62V1_S_400dpi.tif

description: :unav
DOI: 10.5281/zenodo.5784712
title: Ground Penetrating Radar data acquired over Von Postbreen, Svalbard, March 2018.

description: GPR data and diffraction focusing Madagascar code Data authors: Richard Delf and Robert Bingham, University of Edinburgh. Data and code associated with Delf et al. "Reanalysis of polythermal glacier thermal structure using radar diffraction focussing" Ground-Penetrating Radar data was acquired over Von Postbreen, Svalbard, to investigate the internal velocity structure by diffraction focusing. Data were acquired in March 2018 over 2 days, using a PulseEkko Pro 25 MHz system, towed behind a snowscooter in an in-line, common-offset configuration. Data are stored in the SEGY format. Differential GPS was used for positioning; coordinates are included in the SEGY data. <strong>Data Description</strong> Three groups of data are present here within the .zip file. data with no preprocessing: files in ./data/aq_data/18_VP_0_*.SGY SEGY Radar data with pre-processing applied. Significant ringing is observed in the upper regions of the radargrams. Note file names do not correlate with the files in subsequent folders. data with preprocessing: filenames in ./data/raw_data/18_VP_1_*.SGY SEGY Radar data with pre-processing applied to remove ringing and other noise using an SVD filter and bandpass filtering. Radargrams are sorted into shorter lines across and up the glacier. See associated paper for additional details. processed_data: filenames 18_VP_2_*.SGY The same data as above, with diffraction coherence after Schwarz et al (2019) applied. See associated paper for additional details. <strong>Processing files:</strong> SConstruct: Madagascar SConstruct file for processing the above profiles to derive the velocity profiles described in the associated (Delf et al) paper.
DOI: 10.5281/zenodo.5148388
title: Ground Penetrating Radar data acquired over Von Postbreen, Svalbard, March 2018.

description: GPR data and diffraction focusing Madagascar code Data authors: Richard Delf and Robert Bingham, University of Edinburgh. Data and code associated with Delf et al. "Reanalysis of polythermal glacier thermal structure using radar diffraction focussing" Ground-Penetrating Radar data was acquired over Von Postbreen, Svalbard, to investigate the internal velocity structure by diffraction focusing. Data were acquired in March 2018 over 2 days, using a PulseEkko Pro 25 MHz system, towed behind a snowscooter in an in-line, common-offset configuration. Data are stored in the SEGY format. Differential GPS was used for positioning; coordinates are included in the SEGY data. <strong>Data Description</strong> Three groups of data are present here within the .zip file. data with no preprocessing: files in ./data/aq_data/18_VP_0_*.SGY SEGY Radar data with pre-processing applied. Significant ringing is observed in the upper regions of the radargrams. Note file names do not correlate with the files in subsequent folders. data with preprocessing: filenames in ./data/raw_data/18_VP_1_*.SGY SEGY Radar data with pre-processing applied to remove ringing and other noise using an SVD filter and bandpass filtering. Radargrams are sorted into shorter lines across and up the glacier. See associated paper for additional details. processed_data: filenames 18_VP_2_*.SGY The same data as above, with diffraction coherence after Schwarz et al (2019) applied. See associated paper for additional details. <strong>Processing files:</strong> SConstruct: Madagascar SConstruct file for processing the above profiles to derive the velocity profiles described in the associated (Delf et al) paper.
DOI: 10.22008/fk2/yznlnh/u8rcwp
title: G100_Nerutussoq_62V1_S_400dpi.pdf

description: :unav
DOI: 10.6084/m9.figshare.17142227
title: Supporting data to "Decadal trend of plankton community change and habitat shoaling in the Arctic gateway recorded by planktonic foraminifera"

description: <b>CTD_IAOOS_HH1400.csv</b><br><b><br></b>Seawater temperature and pressure profiles from stations 1 to 8 from expedition IAOOS (2008) and station HH14/00 from expedition HH14 (2014) in the Fram Strait. CTD data during the IAOOS cruise were collected using a standard SeaBird 911 Plus conductivity-temperature-depth (CTD) profiler on the R/V Jan Mayen. CTD data during the HH14 cruise were measured at regular intervals using a Seabird 911 Plus CTD on the R/V Helmer Hanssen.<br>Variables:cruise_id: Oceanographic expedition identifierstation_id: Sampling Event identifierdepth: water depth relative to the measurementtemperature: temperature in celsius degreespressure: pressure in dbarstation_lon_decimal: longitude in decimal degreesstation_lat_decimal: latitude in decimal degreessampling_day: day of collectionsampling_month: month of collectionsampling_year: year of collection<br><b>Density_profiles_ARKIII3_IAOOS_ARKXXVI1_HH14_ARKXXIX2_1.csv</b><br><b><br></b>Density profiles (concentration per cubic metres) of planktonic foraminifera tests collected with stratified plankton tow hauls in the Fram Strait during cruises ARK III/3 (1985), IAOOS (2008), ARKXXVI/1 (2011), HH14 (2014), ARK-XXIX/2.1(2015).<br>Variables:cruise_id: Oceanographic expedition identifierstation_id: Sampling Event identifierstation_lon_decimal: longitude in decimal degreesstation_lat_decimal: latitude in decimal degreesoriginal_publication: source of count data referencing first publicationdeployment_mesh_size_microns: net mesh size in micronsdeployment_opening_m2: net opening in squared meterssampling_scheme: depth intervals samples in meterssampling_day: day of collectionsampling_month: month of collectionsampling_year: year of collectionsample_depth_min: upper depth interval sampled in meterssample_depth_max: lower depth interval sampled in metersmin_fraction_counted: minimum size fraction considered in micronsmax_fraction_counted: maximum size fraction considered in micronsN. pachyderma: specimens concentration in cubic metersT. quinqueloba: specimens concentration in cubic metersG. bulloides: specimens concentration in cubic metersG. glutinata: specimens concentration in cubic metersG. uvula: specimens concentration in cubic metersN. incompta: specimens concentration in cubic metersO. riedeli: specimens concentration in cubic meterssize_fraction_min: lower size fraction of the counts relative to the sampling eventsize_fraction_max: Upper size fraction of the counts relative to the sampling eventcount_info: details on specimens counted in a sampling event (alive only- cytoplasm bearing- , or total all tests<br>
DOI: 10.6084/m9.figshare.17142227.v1
title: Supporting data to "Decadal trend of plankton community change and habitat shoaling in the Arctic gateway recorded by planktonic foraminifera"

description: <b>CTD_IAOOS_HH1400.csv</b><br><b><br></b>Seawater temperature and pressure profiles from stations 1 to 8 from expedition IAOOS (2008) and station HH14/00 from expedition HH14 (2014) in the Fram Strait. CTD data during the IAOOS cruise were collected using a standard SeaBird 911 Plus conductivity-temperature-depth (CTD) profiler on the R/V Jan Mayen. CTD data during the HH14 cruise were measured at regular intervals using a Seabird 911 Plus CTD on the R/V Helmer Hanssen.<br>Variables:cruise_id: Oceanographic expedition identifierstation_id: Sampling Event identifierdepth: water depth relative to the measurementtemperature: temperature in celsius degreespressure: pressure in dbarstation_lon_decimal: longitude in decimal degreesstation_lat_decimal: latitude in decimal degreessampling_day: day of collectionsampling_month: month of collectionsampling_year: year of collection<br><b>Density_profiles_ARKIII3_IAOOS_ARKXXVI1_HH14_ARKXXIX2_1.csv</b><br><b><br></b>Density profiles (concentration per cubic metres) of planktonic foraminifera tests collected with stratified plankton tow hauls in the Fram Strait during cruises ARK III/3 (1985), IAOOS (2008), ARKXXVI/1 (2011), HH14 (2014), ARK-XXIX/2.1(2015).<br>Variables:cruise_id: Oceanographic expedition identifierstation_id: Sampling Event identifierstation_lon_decimal: longitude in decimal degreesstation_lat_decimal: latitude in decimal degreesoriginal_publication: source of count data referencing first publicationdeployment_mesh_size_microns: net mesh size in micronsdeployment_opening_m2: net opening in squared meterssampling_scheme: depth intervals samples in meterssampling_day: day of collectionsampling_month: month of collectionsampling_year: year of collectionsample_depth_min: upper depth interval sampled in meterssample_depth_max: lower depth interval sampled in metersmin_fraction_counted: minimum size fraction considered in micronsmax_fraction_counted: maximum size fraction considered in micronsN. pachyderma: specimens concentration in cubic metersT. quinqueloba: specimens concentration in cubic metersG. bulloides: specimens concentration in cubic metersG. glutinata: specimens concentration in cubic metersG. uvula: specimens concentration in cubic metersN. incompta: specimens concentration in cubic metersO. riedeli: specimens concentration in cubic meterssize_fraction_min: lower size fraction of the counts relative to the sampling eventsize_fraction_max: Upper size fraction of the counts relative to the sampling eventcount_info: details on specimens counted in a sampling event (alive only- cytoplasm bearing- , or total all tests<br>
DOI: 10.22008/fk2/dhk9y8/bhxzsq
title: G100_Nigerdlikasik_62V2_S_400dpi.tif

description: :unav
DOI: 10.22008/fk2/dhk9y8/lpgzim
title: G100_Nigerdlikasik_62V2_S_400dpi.pdf

description: :unav
DOI: 10.5281/zenodo.5785869
title: Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y3 & Y4

description: A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 1998 (Y3) and 1999 (Y4).
DOI: 10.5281/zenodo.5785868
title: Lagrangian Sequestration Efficiency Trajectories and Extracted Particle Metrics – 1000m Y3 & Y4

description: A dataset of Lagrangian trajectories used to estimate North Atlantic sequestration efficiency and extracted metrics for the re-entrained and sequestered particles. All variables have long names and units. These files have been used for the analysis in Baker et al. ‘Biological carbon pump sequestration efficiency in the North Atlantic: a leaky or a long-term sink?’ with further information about the methodology available in the paper. Due to the size of the datasets, each DOI only contains two files. This dataset contains the 1000m particles releases for the years 1998 (Y3) and 1999 (Y4).
DOI: 10.5281/zenodo.5785873
title: motazsaad/arwikiExtracts: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/arwikiExtracts/commits/v1.0
DOI: 10.5281/zenodo.5785872
title: motazsaad/arwikiExtracts: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/arwikiExtracts/commits/v1.0
DOI: 10.5281/zenodo.5783903
title: raw NMR dataset + metadata

description: The objective of this study was to use non-invasive fecal metabolomics to evaluate the effects of contrasting sanitary conditions and associated subclinical health status of pigs. We analyzed fecal metabolite profiles using nuclear magnetic resonance (<sup>1</sup>H NMR) from pigs aged 14 and 22 weeks. Pigs kept under low and high sanitary conditions (LSC and HSC, respectively) differed in fecal metabolites related to degradation of dietary starch, metabolism of the intestinal microbiome, and degradation of constituents of animal (host) endogenous origin. The metabolites that differed significantly originated from metabolic processes involved in either maintaining nutrient digestion capacity, including metabolism of purines, energy metabolism, bile acid degradation and recycling, or in immune system metabolism. The results showed that the fecal metabolite profiles reflect sanitary conditions under which the pigs are kept. The fecal metabolic profiles strongly resembled previously published profiles of metabolites found in large intestinal digesta in pigs. Fecal valerate content could potentially be used as a biomarker for the immune status of pigs, and kynurenic acid could be used as a biomarker for the porcine inflammatory status of pigs. The use of such non-invasive fecal biomarkers could provide the basis for targeted dietary interventions to reduce the negative impact of elevated immune status on production performance of pigs.
DOI: 10.5281/zenodo.5783902
title: raw NMR dataset + metadata

description: The objective of this study was to use non-invasive fecal metabolomics to evaluate the effects of contrasting sanitary conditions and associated subclinical health status of pigs. We analyzed fecal metabolite profiles using nuclear magnetic resonance (<sup>1</sup>H NMR) from pigs aged 14 and 22 weeks. Pigs kept under low and high sanitary conditions (LSC and HSC, respectively) differed in fecal metabolites related to degradation of dietary starch, metabolism of the intestinal microbiome, and degradation of constituents of animal (host) endogenous origin. The metabolites that differed significantly originated from metabolic processes involved in either maintaining nutrient digestion capacity, including metabolism of purines, energy metabolism, bile acid degradation and recycling, or in immune system metabolism. The results showed that the fecal metabolite profiles reflect sanitary conditions under which the pigs are kept. The fecal metabolic profiles strongly resembled previously published profiles of metabolites found in large intestinal digesta in pigs. Fecal valerate content could potentially be used as a biomarker for the immune status of pigs, and kynurenic acid could be used as a biomarker for the porcine inflammatory status of pigs. The use of such non-invasive fecal biomarkers could provide the basis for targeted dietary interventions to reduce the negative impact of elevated immune status on production performance of pigs.
DOI: 10.5281/zenodo.5785891
title: motazsaad/comparableWikiCoprus: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/comparableWikiCoprus/commits/v1.0
DOI: 10.5281/zenodo.5785890
title: motazsaad/comparableWikiCoprus: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/comparableWikiCoprus/commits/v1.0
DOI: 10.22008/fk2/3vmjiu/pu3dci
title: G100_Nanortalik_60V1_S_400dpi.tif

description: :unav
DOI: 10.22008/fk2/3vmjiu/bnt1oh
title: G100_Nanortalik_60V1_S_400dpi.pdf

description: :unav
DOI: 10.5281/zenodo.5785871
title: motazsaad/arzWikiExtracts: v1.1

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/arzWikiExtracts/compare/v0.1...v1.1
DOI: 10.5281/zenodo.5785870
title: motazsaad/arzWikiExtracts: v1.1

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/arzWikiExtracts/compare/v0.1...v1.1
DOI: 10.5281/zenodo.5785830
title: motazsaad/Arabic-Stories-Corpus: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/Arabic-Stories-Corpus/commits/v1.0
DOI: 10.5281/zenodo.5785829
title: motazsaad/Arabic-Stories-Corpus: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/Arabic-Stories-Corpus/commits/v1.0
DOI: 10.25345/c5js1s
title: MassIVE MSV000088571 - Oligosarcomas, IDH-mutant are distinct and aggressive
title: Oligodendrogliomas are defined by IDH-mutations and codeletions of chromosomal arms 1p and 19q. In the past, case reports and small studies described gliomas with sarcomatous features arising from oligodendrogliomas, so called oligosarcomas. Here, we report a series of 23 IDH-mutant oligosarcomas forming a distinct methylation class. The tumors were recurrences from prior oligodendrogliomas or developed de novo. Precursor tumors of 11 oligosarcomas were histologically and molecularly indistinguishable from conventional oligodendrogliomas. Oligosarcoma tumor cells were embedded in a dens network of reticulin fibers, frequently showing p53 accumulation, positivity for SMA, and gain of H3K27 trimethylation (H3K27me3) as compared to primary lesions. In 5 oligosarcomas no 1p/19q codeletion was detectable, although it was present in the primary lesions. Oligosarcomas harbored an increased chromosomal copy number variation load with frequent CDKN2A/B deletions. Proteomic profiling demonstrated oligosarcomas to be highly distinct from conventional grade 3 oligodendrogliomas with consistent evidence for a smooth muscle differentiation. Expression of several tumor suppressors was reduced with NF1 being lost frequently. In contrast, oncogenic YAP1 was aberrantly overexpressed in oligosarcomas. Panel sequencing revealed mutations in NF1 and TP53 along with IDH1/2 and TERT promoter mutations. Survival of patients was significantly poorer for oligosarcomas than for grade 3 oligodendrogliomas and comparable to that of grade 4 IDH-mutant astrocytomas. These results establish oligosarcoma as a distinct type of IDH-mutant glioma differing from conventional oligodendrogliomas on the histologic, epigenetic, proteomic, molecular and clinical level. Diagnosis can be based on the characteristic DNA methylation profile or the combined evidence of sarcomatous histology, IDH-mutation and an oligodendroglioma-typical molecular alteration as TERT promoter mutation and/or 1p/19q codeletion.
DOI: 10.5281/zenodo.5785731
title: motazsaad/Arabic-News: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/Arabic-News/commits/v1.0
DOI: 10.5281/zenodo.5785730
title: motazsaad/Arabic-News: v1.0

description: <strong>Full Changelog</strong>: https://github.com/motazsaad/Arabic-News/commits/v1.0
DOI: 10.5281/zenodo.4788216
title: Molecular Dynamics simulations suggest possible activation and deactivation pathways in hERG channel

description: equil_gating_4_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 4 equilibration trajectory equil_gating_6_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 6 equilibration trajectory equil_gating_8_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 8 equilibration trajectory equil_gating_4.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 4 equil_gating_6.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 6 equil_gating_8.dcd: 100 ns NPT trajectory of the hERG closed state with gating charge 8 equil_open_assembly_xleap.prmtop: file topology of the hERG open state equilibration trajectory equil_open.dcd: 100 ns NPT trajectory of the hERG open state herg_closed_gating_4.pdb: PDB file of hERG closed state with gating charge 4 after Steered MD simulations herg_closed_gating_6.pdb: PDB file of hERG closed state with gating charge 6 after Steered MD simulations herg_closed_gating_8.pdb: PDB file of hERG closed state with gating charge 8 after Steered MD simulations TMD_O-C_closed_gating_8_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 8 TMD trajectory TMD_O-C_closed_gating_6_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 6 TMD trajectory TMD_O-C_closed_gating_4_assembly_xleap.prmtop: file topology of the hERG closed state with gating charge 4 TMD trajectory TMD_O-C_closed_gating_8.dcd: TMD trajectory of the hERG closed state with gating charge 8 TMD_O-C_closed_gating_6.dcd: TMD trajectory of the hERG closed state with gating charge 6 TMD_O-C_closed_gating_4.dcd: TMD trajectory of the hERG closed state with gating charge 4 MD trajectories (equilibration and Targeted MD trajectories) in dcd format can be visualized using visualization tools such as VMD or PyMol after uploading the topology file.