cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24805785
title: Missing reads from Ravi et al. 2019

description: Missing metagenomic reads from Rave et al. 2019 - https://doi.org/10.1099/mgen.0.000293
DOI: 10.6084/m9.figshare.24805785.v1
title: Missing reads from Ravi et al. 2019

description: Missing metagenomic reads from Rave et al. 2019 - https://doi.org/10.1099/mgen.0.000293
DOI: 10.21227/z4hg-bc65
title: Data_of_base_station

description: This is a part of the data map of the distribution of base stations in China. This includes 54,718 entries about base stations. Data mainly contain the MCC, newsun focus, LAC, CELL, LNG, LAT, O_LNG, O_LAT, PRECISION, ADDRESS, DAY, REGION, CITY, COUNTRY this 14 items. LNG and LAT are the longitude and latitude data, respectively, and the location of each base station can be determined according to the data under these two categories. This is a part of the data map of the distribution of base stations in China. This includes 54,718 entries about base stations. Data mainly contain the MCC, newsun focus, LAC, CELL, LNG, LAT, O_LNG, O_LAT, PRECISION, ADDRESS, DAY, REGION, CITY, COUNTRY this 14 items. LNG and LAT are the longitude and latitude data, respectively, and the location of each base station can be determined according to the data under these two categories.
DOI: 10.5281/zenodo.10372264
title: Coordinates of jungle cat vehicle collision locations and background points
DOI: 10.5281/zenodo.10372265
title: Coordinates of jungle cat vehicle collision locations and background points
DOI: 10.25318/3310072401-eng
title: Business or organization expectations over the next three months, fourth quarter of 2023

description: Expectations over the next three months by the business or organization, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.
DOI: 10.34740/kaggle/dsv/7200518
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.10369063
title: Deciphering complex antibiotic resistance patterns in Helicobacter pylori through whole genome sequencing and machine learning

description: Whole Genome Sequencing of Helicobacter pylori (Hp).
DOI: 10.5281/zenodo.10369064
title: Deciphering complex antibiotic resistance patterns in Helicobacter pylori through whole genome sequencing and machine learning

description: Whole Genome Sequencing of Helicobacter pylori (Hp).
DOI: 10.25318/3310072401-fra
title: Attentes des entreprises ou des organismes pour les trois prochains mois, quatrième trimestre de 2023

description: Attentes des entreprises ou des organismes pour les trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2023.
DOI: 10.34740/kaggle/dsv/7200539
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10377131
title: Initial values for distribution function

description: Contains initial conditions for turbulent channel flow simulations using Discrete Unified Gas Kinetic Scheme (DUGKS). Binary representation of distribution function values is stored in a column major format. Data resolution is 19x384x256x256 eight byte floating point (FP64) numbers.
DOI: 10.5281/zenodo.10377132
title: Initial values for distribution function

description: Contains initial conditions for turbulent channel flow simulations using Discrete Unified Gas Kinetic Scheme (DUGKS). Binary representation of distribution function values is stored in a column major format. Data resolution is 19x384x256x256 eight byte floating point (FP64) numbers.
DOI: 10.25318/3310072501-eng
title: Percentage change expected for capital expenditures over the next 12 months, compared with the last 12 months, fourth quarter of 2023

description: Percentage change expected for capital expenditures over the next 12 months, compared with the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.
DOI: 10.6084/m9.figshare.24806174
title: Supplementary_material.zip from Seasonal acoustic presence of marine mammals at the South Orkney Islands, Scotia Sea

description: Increased knowledge about marine mammal seasonal distribution and species assemblage from the South Orkney Islands waters is needed for the development of management regulations of the commercial fishery for Antarctic krill (<i>Euphausia superba</i>) in this region. Passive Acoustic Monitoring (PAM) data were collected during the autumn and winter seasons in two consecutive years (2016, 2017), which represented highly contrasting environmental conditions due to the 2016 El Niño event. We explored differences in seasonal patterns in marine mammal acoustic presence between the two years in context of environmental cues and climate variability. Acoustic signals from five baleen whale species, two pinniped species and odontocete spp. were detected and separated into guilds. Although species diversity remained stable over time, the ice-avoiding and ice-affiliated species dominated before and after the onset of winter, respectively, and thus demonstrating a shift in guild composition related to season. Herein, we provide novel information about local marine mammal species diversity, community structure and residency times in a krill hotspot. Our study also demonstrates the utility of PAM data and its usefulness in providing new insights into the marine mammal habitat use and responses to environmental conditions, which are essential knowledge for the future development of a sustainable fishery management in a changing ecosystem.
DOI: 10.6084/m9.figshare.24806177
title: Supplementary_soundfiles.zip from Seasonal acoustic presence of marine mammals at the South Orkney Islands, Scotia Sea

description: Increased knowledge about marine mammal seasonal distribution and species assemblage from the South Orkney Islands waters is needed for the development of management regulations of the commercial fishery for Antarctic krill (<i>Euphausia superba</i>) in this region. Passive Acoustic Monitoring (PAM) data were collected during the autumn and winter seasons in two consecutive years (2016, 2017), which represented highly contrasting environmental conditions due to the 2016 El Niño event. We explored differences in seasonal patterns in marine mammal acoustic presence between the two years in context of environmental cues and climate variability. Acoustic signals from five baleen whale species, two pinniped species and odontocete spp. were detected and separated into guilds. Although species diversity remained stable over time, the ice-avoiding and ice-affiliated species dominated before and after the onset of winter, respectively, and thus demonstrating a shift in guild composition related to season. Herein, we provide novel information about local marine mammal species diversity, community structure and residency times in a krill hotspot. Our study also demonstrates the utility of PAM data and its usefulness in providing new insights into the marine mammal habitat use and responses to environmental conditions, which are essential knowledge for the future development of a sustainable fishery management in a changing ecosystem.
DOI: 10.6084/m9.figshare.24806177.v1
title: Supplementary_soundfiles.zip from Seasonal acoustic presence of marine mammals at the South Orkney Islands, Scotia Sea

description: Increased knowledge about marine mammal seasonal distribution and species assemblage from the South Orkney Islands waters is needed for the development of management regulations of the commercial fishery for Antarctic krill (<i>Euphausia superba</i>) in this region. Passive Acoustic Monitoring (PAM) data were collected during the autumn and winter seasons in two consecutive years (2016, 2017), which represented highly contrasting environmental conditions due to the 2016 El Niño event. We explored differences in seasonal patterns in marine mammal acoustic presence between the two years in context of environmental cues and climate variability. Acoustic signals from five baleen whale species, two pinniped species and odontocete spp. were detected and separated into guilds. Although species diversity remained stable over time, the ice-avoiding and ice-affiliated species dominated before and after the onset of winter, respectively, and thus demonstrating a shift in guild composition related to season. Herein, we provide novel information about local marine mammal species diversity, community structure and residency times in a krill hotspot. Our study also demonstrates the utility of PAM data and its usefulness in providing new insights into the marine mammal habitat use and responses to environmental conditions, which are essential knowledge for the future development of a sustainable fishery management in a changing ecosystem.
DOI: 10.5281/zenodo.8075919
title: Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Observations and Results

description: This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains observational data and the resulting measurements for the stellar properties of the stars analyzed in the article, along with best fit spectral models and spectral models used to estimate the wind mass loss rate of the stars. Below, we describe the content in more detail:



	
0_ReadMe.txt: A text file where we describe some more details regarding the content.
	
S2_stacked_stellar_spectra.tar.gz (4.6 MB): The spectra we use for obtaining stellar properties for the observed stars.
	
Table2.txt: the apparent AB magnitudes with associated errors for the stars we analyze in the paper.
	
Table3.txt: the stellar properties for the stars we analyze in the paper. These parameters are obtained by spectral fitting.
	
S5_spectra_best_fit_models.tar.gz (14 MB): The spectral energy distributions and normalized spectra for the best-fit models, recomputed such that the radius and bolometric luminosity also matches. This tarball contains best-fit spectra for all of the stars in text-files labeled with the format SED_StarX_xxx.txt (~70 MB when inflated). The stellar parameters are presented in Section 5.
	
S5_full_best_fit_models.tar.gz (1.9 GB): The full CMFGEN version of the best-fit models for each individual star. This tarball contains a tarball for each star, which when inflated becomes ~250-550 MB each.  
	
S7_spectra_mdot_models (31 MB): The spectral energy distributions and normalized spectra for the models used in the mass-loss analysis that we present in Section 7.
	
S7_full_mdot_models (3.5 GB): The full CMFGEN version of the spectral models used for the mass-loss rate variation presented in section 7 (excluding the best-fit models, which are provided separately).
DOI: 10.5281/zenodo.8075920
title: Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Observations and Results

description: This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains observational data and the resulting measurements for the stellar properties of the stars analyzed in the article, along with best fit spectral models and spectral models used to estimate the wind mass loss rate of the stars. Below, we describe the content in more detail:



	
0_ReadMe.txt: A text file where we describe some more details regarding the content.
	
S2_stacked_stellar_spectra.tar.gz (4.6 MB): The spectra we use for obtaining stellar properties for the observed stars.
	
Table2.txt: the apparent AB magnitudes with associated errors for the stars we analyze in the paper.
	
Table3.txt: the stellar properties for the stars we analyze in the paper. These parameters are obtained by spectral fitting.
	
S5_spectra_best_fit_models.tar.gz (14 MB): The spectral energy distributions and normalized spectra for the best-fit models, recomputed such that the radius and bolometric luminosity also matches. This tarball contains best-fit spectra for all of the stars in text-files labeled with the format SED_StarX_xxx.txt (~70 MB when inflated). The stellar parameters are presented in Section 5.
	
S5_full_best_fit_models.tar.gz (1.9 GB): The full CMFGEN version of the best-fit models for each individual star. This tarball contains a tarball for each star, which when inflated becomes ~250-550 MB each.  
	
S7_spectra_mdot_models (31 MB): The spectral energy distributions and normalized spectra for the models used in the mass-loss analysis that we present in Section 7.
	
S7_full_mdot_models (3.5 GB): The full CMFGEN version of the spectral models used for the mass-loss rate variation presented in section 7 (excluding the best-fit models, which are provided separately).
DOI: 10.5519/qd.hyi9cdud
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (405 records)
DOI: 10.5519/qd.w72y8rgx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (405 records)
DOI: 10.25318/3310072501-fra
title: Variation en pourcentage prévue pour les dépenses en immobilisations au cours des 12 prochains mois, comparativement aux 12 derniers mois, quatrième trimestre de 2023

description: Variation en pourcentage prévue pour les dépenses en immobilisations au cours des 12 prochains mois, comparativement aux 12 derniers mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2023.
DOI: 10.5519/qd.ntv4e37a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (405 records)
DOI: 10.21335/nmdc-1336748445
title: Estimated salmon lice induced mortality of Atlantic salmon

description: Estimated salmon lice (Lepeophtheirus salmonis) induced mortality of Atlantic salmon (Salmo salar) during post-smolt migration in Norway. The dataset contains river specific annual estimated mortality from 2012. The mortality is estimated using a model approach described in detail in Johnsen et al. (2020). In short, the salmon post-smolts migration from river to the open ocean is simulated and coupled to the salmon lice concentration field provided by Sandvik et al. (2020). Based upon observed level of salmon lice infestation on trawled wild post-smolts the model is calibrated to fit the observed levels. The wild fish, captured by trawl, is genetically assigned to their homing river as described in Harvey et al. (2019). Further, by assuming tolerance to salmon lice in accordance to Taranger et al. (2015) the mortality was estimated from the modelled infestation levels.
DOI: 10.5281/zenodo.8338990
title: IDW interpolation dataset of ash and tephra deposition following the 2021 Tajogaite volcanic eruption on La Palma, Canary Islands, Spain

description: The compiled dataset is the result of a field collection campaign to measure the depth of the ash and tephra layer in the aftermath of the 2021 volcanic eruption (Tajogaite) on the island of La Palma, Canary Islands, Spain.

The dataset consists of two files: a shapefile and a GeoTIFF raster. The shapefile is a point layer file that displays the location of all ash depth measurements (415 points) taken in the field. To improve our sampling near the crater, where safety and time constraints prevented field collection, we manually sampled additional drone-based measurements (66 points). We combined these data into a single dataset ("ash_depth"; 481 total points) that was then used as input for a spatial interpolation using Inverse Distance Weighting (IDW).

The IDW interpolation was performed using the Spatial Analyst toolbox in ArcMap 10.8.1 (Esri, 2021). As an exact deterministic interpolation, IDW estimates pixels values of unknown points by using average distance and a weight between sample points (Watson & Philip, 1985). This is ideal for a dataset that includes many field measurements since IDW interpolates between the minimum and maximum of the collected data. The model parameters were adjusted manually but the best results were yielded using the default settings, with the exception of the output cell size. The output cell size was calibrated to 2 m. The IDW parameters can be viewed in Table 1.

The sample point locations were resampled from the raster file to estimate the Root Square Mean Error (RMSE) and were saved to the shapefile as "ash_idw". The RMSE of the dataset is 0.34 m. For further inquiries please contact Christopher Shatto (email: christopher.shatto@uni-bayreuth.de).

 

Please cite the data paper link to this repository as: 

C. Shatto, F. Weiser and A. Walentowitz et al., Volcanic tephra deposition dataset based on interpolated field measurements following the 2021 Tajogaite Eruption on La Palma, Canary Islands, Spain, Data in Brief, https://doi.org/10.1016/j.dib.2023.109949

 




Power
2


Output cell size
2


Search neighborhood type
Standard (circular)


Major/minor semiaxis
12161.79/12161.79


Max/minimum neighbors
15/10


Sector type
1


Angle
0


Weight field
None
DOI: 10.5281/zenodo.8338991
title: IDW interpolation dataset of ash and tephra deposition following the 2021 Tajogaite volcanic eruption on La Palma, Canary Islands, Spain

description: The compiled dataset is the result of a field collection campaign to measure the depth of the ash and tephra layer in the aftermath of the 2021 volcanic eruption (Tajogaite) on the island of La Palma, Canary Islands, Spain.

The dataset consists of two files: a shapefile and a GeoTIFF raster. The shapefile is a point layer file that displays the location of all ash depth measurements (415 points) taken in the field. To improve our sampling near the crater, where safety and time constraints prevented field collection, we manually sampled additional drone-based measurements (66 points). We combined these data into a single dataset ("ash_depth"; 481 total points) that was then used as input for a spatial interpolation using Inverse Distance Weighting (IDW).

The IDW interpolation was performed using the Spatial Analyst toolbox in ArcMap 10.8.1 (Esri, 2021). As an exact deterministic interpolation, IDW estimates pixels values of unknown points by using average distance and a weight between sample points (Watson & Philip, 1985). This is ideal for a dataset that includes many field measurements since IDW interpolates between the minimum and maximum of the collected data. The model parameters were adjusted manually but the best results were yielded using the default settings, with the exception of the output cell size. The output cell size was calibrated to 2 m. The IDW parameters can be viewed in Table 1.

The sample point locations were resampled from the raster file to estimate the Root Square Mean Error (RMSE) and were saved to the shapefile as "ash_idw". The RMSE of the dataset is 0.34 m. For further inquiries please contact Christopher Shatto (email: christopher.shatto@uni-bayreuth.de).

 

Please cite the data paper link to this repository as: 

C. Shatto, F. Weiser and A. Walentowitz et al., Volcanic tephra deposition dataset based on interpolated field measurements following the 2021 Tajogaite Eruption on La Palma, Canary Islands, Spain, Data in Brief, https://doi.org/10.1016/j.dib.2023.109949

 




Power
2


Output cell size
2


Search neighborhood type
Standard (circular)


Major/minor semiaxis
12161.79/12161.79


Max/minimum neighbors
15/10


Sector type
1


Angle
0


Weight field
None
DOI: 10.25345/c5959cj81
title: MassIVE MSV000093668 - ANKRD55 interacts with an IFT-B-like complex in microglia
title: An intronic SNP associated with risk for multiple sclerosis (MS) is known to colocalize with a ciseQTL regulating expression of ankyrin repeat domain protein 55 (ANKRD55). The function of ANKRD55 is not well understood. A role for ANKRD55 in ciliar transport in multiciliated cells has been reported. To gain deeper insight how ANKRD55 may modulate neuroinflammatory parameters, we identified the ANKRD55 interactomes from human neuroblastoma, (SHSY5Y), astrocytic (IMhuA), microglial (IMhuM) and monocytic (THP1) cell lines by affinity purification coupled to mass spectrometry (APMS). Shared among the interactomes were the 1433 isoforms YWHAH and YWHAB, conserved regulatory proteins mainly interacting with phophomotifs in their client proteins. Unique to the microglial interactome were eight proteins belonging to the intraflagellar transport complex B (IFTB), IFT74, IFT22, IFT81, IFT52, IFT70A, IFT56, IFT46, and IFT27. This complex is mainly known to mediate anterograde protein trafficking from the base to the tip of cilia. Through the use of a visible immunoprecipitation assay we demonstrate that the minimum entity of IFTB needed to support interaction with ANKRD55 is the dimer pair IFT46 _ IFT56. Invidual IFTB components did not bind ANKRD55. Together this implies that the eight IFTB components were retained via AP as a complex with tagged ANKRD55. To verify whether ANKRD55 is a ciliar transport protein, we induced ciliogenesis by serum starvation. Primary ARL13B+ cilia could be induced in the astrocytic and neuroblastoma, but not microglial, cell lines. By confocal microscopy, ANKRD55 was not detected in these cilia but was enriched in the basal body. In the microglial cell line, ANKRD55 and IFTB components were enriched in the centrosome. In two human primary myeloid cell models, monocytederived microglia (MoMG) and monocytederived dendritic cells (MoDC) we were able to recapitulate the colocalization of ANKRD55 and IFT81 at the centrosome. Our work suggests that ANKRD55 can hijack an IFTBlike complex for a transport function in nonciliated cells centered on the centrosome.
DOI: 10.21335/nmdc-1152703816
title: Estimated salmon lice induced mortality of Atlantic salmon

description: Estimated salmon lice (Lepeophtheirus salmonis) induced mortality of Atlantic salmon (Salmo salar) during post-smolt migration in Norway. The dataset contains river specific annual estimated mortality from 2019. The mortality is estimated using a model approach described in detail in Johnsen et al. (2020). In short, the salmon post-smolts migration from river to the open ocean is simulated and coupled to the salmon lice concentration field provided by Sandvik et al. (2020). Based upon observed level of salmon lice infestation on trawled wild post-smolts the model is calibrated to fit the observed levels. The wild fish, captured by trawl, is genetically assigned to their homing river as described in Harvey et al. (2019). Further, by assuming tolerance to salmon lice in accordance to Taranger et al. (2015) the mortality was estimated from the modelled infestation levels. The mortality was also estimated for fish with assumed migration 10 days earlier and later, and for fish with assumed higher and lower tolerance to lice infestation levels. From the model described in Johnsen et al (2020) the model is updated due to development of the hydrodynamic model system. Further information can be found in Lien et al (2022) and Albretsen et al (2022).