cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6581120
title: Ptychographic X-ray speckle tracking (PXST) scan of the Siemens star test sample

description: The PXST scan of the Siemens star test sample measured at P11 beamtime of the PETRA III synchrotron radiation facility. The beam was focused with a pair of MLLs with focal lengths of 1.25 mm and 1.15 mm and numerical apertures of 0.014 and 0.015, in the vertical and horizontal directions, respectively. The X-ray beam photon energy was 17.5 keV.
description: We acknowledge support from DESY (Hamburg, Germany), a member of the Helmholtz Association HGF. Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491245950 and by the Cluster of Excellence 'CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994.
DOI: 10.5281/zenodo.6581119
title: Ptychographic X-ray speckle tracking (PXST) scan of the Siemens star test sample

description: The PXST scan of the Siemens star test sample measured at P11 beamtime of the PETRA III synchrotron radiation facility. The beam was focused with a pair of MLLs with focal lengths of 1.25 mm and 1.15 mm and numerical apertures of 0.014 and 0.015, in the vertical and horizontal directions, respectively. The X-ray beam photon energy was 17.5 keV.
description: We acknowledge support from DESY (Hamburg, Germany), a member of the Helmholtz Association HGF. Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491245950 and by the Cluster of Excellence 'CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994.
DOI: 10.5281/zenodo.6581439
title: Ptychographic X-ray speckle tracking (PXST) scan of the nanoporous gold sample

description: The PXST scan of a 2.5 micron-thick piece of nanoporous gold measured at P11 beamtime of the PETRA III synchrotron radiation facility. The beam was focused with a pair of MLLs with focal lengths of 1.25 mm and 1.15 mm and numerical apertures of 0.014 and 0.015, in the vertical and horizontal directions, respectively. The X-ray beam photon energy was 17.5 keV.
description: We acknowledge support from DESY (Hamburg, Germany), a member of the Helmholtz Association HGF. Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491245950 and by the Cluster of Excellence 'CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994.
DOI: 10.5281/zenodo.6581438
title: Ptychographic X-ray speckle tracking (PXST) scan of the nanoporous gold sample

description: The PXST scan of a 2.5 micron-thick piece of nanoporous gold measured at P11 beamtime of the PETRA III synchrotron radiation facility. The beam was focused with a pair of MLLs with focal lengths of 1.25 mm and 1.15 mm and numerical apertures of 0.014 and 0.015, in the vertical and horizontal directions, respectively. The X-ray beam photon energy was 17.5 keV.
description: We acknowledge support from DESY (Hamburg, Germany), a member of the Helmholtz Association HGF. Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491245950 and by the Cluster of Excellence 'CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994.
DOI: 10.6084/m9.figshare.19875046
title: HiRISE and CTX DEM index

description: Index describing HiRISE and CTX DEMs.
DOI: 10.6084/m9.figshare.19875046.v1
title: HiRISE and CTX DEM index

description: Index describing HiRISE and CTX DEMs.
DOI: 10.6084/m9.figshare.19874794
title: miR-204 enhances the sensitivity of platinum and PARPi by regulating HR repair in EOC

description: Raw Data
DOI: 10.6084/m9.figshare.19874794.v6
title: miR-204 enhances the sensitivity of platinum and PARPi by regulating HR repair in EOC

description: Raw Data
DOI: 10.6084/m9.figshare.19874794.v5
title: miR-204 enhances the sensitivity of platinum and PARPi by regulating HR repair in EOC

description: Raw Data
DOI: 10.25824/redu/ybjqkx
title: GENERAL DATA SHEET - MASTER'S.xlsx
DOI: 10.7294/19852669
title: Land Use and Cover in the Southeastern United States, 1987-2019 (0.25 degree)

description: These are quarter degree datasets that contain the percent of nine land use classes in each quarter degree cell covering the Southeastern United States. Classes are designed to be compatible with the classes in the Land-Use Harmonization 2 dataset (LUH2) (Chini et al. 2021). This dataset includes a new 'actively-managed forest' class that represents pine plantations that are being actively managed, using forest thinning as a proxy for active management. Thins are identified based on the Landsat analysis outlined in Thomas et al. (2021), but applied in Google Earth Engine to the entire Southeastern U.S. in three year increments from 1987-2019. Note that the aggregate area of active management should be interpreted as the total number of pixels within a 0.25 degree cell that were identified as active management at some point during the time period, but may not have been actively managed the entire time period. The other 8 LUH-compatible classes were generated by aggregating the 2016 release of the National Land Cover Dataset (NLCD) (Homer et al. 2020, Jin et al. 2019) for the most recent corresponding year, based on the reclassification scheme described in the readme file.
DOI: 10.25824/redu/3asnrx
title: READING ELISA -Anaerobes.xlsx
DOI: 10.7294/19852669.v1
title: Land Use and Cover in the Southeastern United States, 1987-2019 (0.25 degree)

description: These are quarter degree datasets that contain the percent of nine land use classes in each quarter degree cell covering the Southeastern United States. Classes are designed to be compatible with the classes in the Land-Use Harmonization 2 dataset (LUH2) (Chini et al. 2021). This dataset includes a new 'actively-managed forest' class that represents pine plantations that are being actively managed, using forest thinning as a proxy for active management. Thins are identified based on the Landsat analysis outlined in Thomas et al. (2021), but applied in Google Earth Engine to the entire Southeastern U.S. in three year increments from 1987-2019. Note that the aggregate area of active management should be interpreted as the total number of pixels within a 0.25 degree cell that were identified as active management at some point during the time period, but may not have been actively managed the entire time period. The other 8 LUH-compatible classes were generated by aggregating the 2016 release of the National Land Cover Dataset (NLCD) (Homer et al. 2020, Jin et al. 2019) for the most recent corresponding year, based on the reclassification scheme described in the readme file.
DOI: 10.25824/redu/fsjniz
title: READING ELISA - STREPTOCOCOS.tab
DOI: 10.25824/redu/zhompf
title: Antimicrobial activity of statins against bacteria of the oral microbiota

description: Objectives: to investigate the antimicrobial activity of atorvastatin, pravastatin, rosuvastatin, and simvastatin against oral bacteria, and the interaction of SMV with standard antimicrobials (amoxicillin and metronidazole). Methods: Minimal inhibitory concentration assays were performed with Porphyromonas gingivalis, Prevotella intermedia, Fusobacterium nucleatum, Actinomyces odontolyticus, Streptococcus oralis, Streptococcus mitis, Streptococcus salivarius, Streptococcus sanguinis, and Streptococcus gordonii; checkerboard microdilution assays between simvastatin and standard antimicrobials; monospecies and multispecies biofilms. Results: simvastatin showed the best antimicrobial activity against most species (MIC range from 3.12 to 25 µg/mL), highlighting the sensitivity of P. gingivalis. In the checkerboard assay, synergistic interaction was found between simvastatin and amoxicillin against S. oralis and S. sanguinis. P. gingivalis biofilm was inhibited by simvastatin at 10 and 50x Minimal inhibitory concentration, with similar effects to metronidazole. For multispecies biofilm, SMV reduced the biofilm metabolic activity (79%) and total counts (87%), comparable to amoxicillin. simvastatin also reduced bacterial counts of Veilonnella parvula, P. gingivalis, Streptococcus mutans, Actinomyces naeslundii, P. intermedia, and Capnocytophaga ochracea in the multispecies biofilm. Conclusions: Simvastatin showed antimicrobial and antibiofilm activity against oral bacteria and may contribute to the control of dysbiosis, and may be considered in clinical studies as an adjuvant in the treatment of periodontitis.
DOI: 10.6073/pasta/314354448545342e6228ea8d2a3d3269
title: Daily measurement summaries from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2021, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains daily measurement summaries derived from 15-minute data generated by the Friis Hills Meteorological Station (FRSM), located in Taylor Valley (Latitude: -77.7474, Longitude: 161.5162, Elevation: 1,591 meters above sea level).
DOI: 10.7294/19852828
title: Virginia Forest Harvest Points, 2014-2017

description: This dataset includes: 1) forest harvest records for Virginia for dates within April 1, 2014 and June 29, 2017 and 2) non-harvested pine and deciduous forest locations. Harvest records were extracted from the Virginia Department of Forestry Harvest Inspection Records, which are maintained with the Integrated Forest Resource Information System. Each point was manually interpreted using high resolution in Google Earth to adjust the location of the point from the landing (i.e., the location on the road where the logs are loaded onto the truck) to the harvested stand, within a 64 m radius buffer. This facilitates linkage to Landsat or other satellite pixels. Harvest types include total harvest, thinning, partial cut (including thinning), commercial selection, clear cut, biomass removal, shelterwood deferment, seed tree, and group selection. Non-harvested pines (Persistent Pine) and deciduous forests (Persistent Deciduous) are also included, but were compiled from areas within the National Land Cover Database evergreen and deciduous classes that were not reported as a harvest in the Virginia Harvest Inspection Records (for any date). ESRI’s random points algorithm (ESRI ArcMap 10.6) was used to generate points that were cross-checked Google Earth historic imagery for evidence of any harvest. Points which had any evidence of harvest were removed. The remaining points were considered to be non-harvested pines or deciduous forest. <br> Much of this dataset was first described in Thomas et al. 2021. Differences include: 1) non-harvested deciduous forests were added, 2) some harvested deciduous points were removed if they were too close together, 3) this dataset contains the original harvest mechanism description provided by the Virginia Department of Forestry, while Thomas et al (2021) reclassified the harvest types for simplification.
DOI: 10.7294/19852828.v1
title: Virginia Forest Harvest Points, 2014-2017

description: This dataset includes: 1) forest harvest records for Virginia for dates within April 1, 2014 and June 29, 2017 and 2) non-harvested pine and deciduous forest locations. Harvest records were extracted from the Virginia Department of Forestry Harvest Inspection Records, which are maintained with the Integrated Forest Resource Information System. Each point was manually interpreted using high resolution in Google Earth to adjust the location of the point from the landing (i.e., the location on the road where the logs are loaded onto the truck) to the harvested stand, within a 64 m radius buffer. This facilitates linkage to Landsat or other satellite pixels. Harvest types include total harvest, thinning, partial cut (including thinning), commercial selection, clear cut, biomass removal, shelterwood deferment, seed tree, and group selection. Non-harvested pines (Persistent Pine) and deciduous forests (Persistent Deciduous) are also included, but were compiled from areas within the National Land Cover Database evergreen and deciduous classes that were not reported as a harvest in the Virginia Harvest Inspection Records (for any date). ESRI’s random points algorithm (ESRI ArcMap 10.6) was used to generate points that were cross-checked Google Earth historic imagery for evidence of any harvest. Points which had any evidence of harvest were removed. The remaining points were considered to be non-harvested pines or deciduous forest. <br> Much of this dataset was first described in Thomas et al. 2021. Differences include: 1) non-harvested deciduous forests were added, 2) some harvested deciduous points were removed if they were too close together, 3) this dataset contains the original harvest mechanism description provided by the Virginia Department of Forestry, while Thomas et al (2021) reclassified the harvest types for simplification.
DOI: 10.6073/pasta/8e6ae6e26aa72a906952b03ec508b6cb
title: Monthly measurement summaries from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2021, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains monthly measurement summaries derived from 15-minute data generated by the Friis Hills Meteorological Station (FRSM), located in Taylor Valley (Latitude: -77.7474, Longitude: 161.5162, Elevation: 1,591 meters above sea level).
DOI: 10.5281/zenodo.6581459
title: Supplementary Material

description: This Folder contains the raw data of both executed studies, the results, the main text files and figures, as well as the depictions of each virtual object.
DOI: 10.5281/zenodo.6581458
title: Supplementary Material

description: This Folder contains the raw data of both executed studies, the results, the main text files and figures, as well as the depictions of each virtual object.
DOI: 10.7284/146388
title: Multiplexed data collected during research cruise WS21212 using a Miami VIDS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146385
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise WS21212 using a Hawaii UHDAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146389
title: Anemometer data collected during research cruise WS21212 using a RM Young 05106 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146387
title: Fluorometer data collected during research cruise WS21212 using a Turner Cyclops-7 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146364
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS21212 using a Raytheon 300 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146375
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS21212 using a Raytheon 320 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146376
title: Gyrocompass data collected during research cruise WS21212 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146391
title: Hygrometer data collected during research cruise WS21212 using a RM Young 41372 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146379
title: INS (Inertial Navigation System) data collected during research cruise WS21212 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146384
title: Singlebeam Echosounder data collected during research cruise WS21212 using a Knudsen 3260 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146377
title: Water Temperature data collected during research cruise WS21212 using a Sea-Bird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146378
title: TSG (Thermosalinograph) data collected during research cruise WS21212 using a Sea-Bird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.16862647
title: Improved group sequential Holm procedures for testing multiple correlated hypotheses over time

description: Clinical trials can typically feature two different types of multiple inference: testing of more than one null hypothesis and testing at multiple time points. These modes of multiplicity are closely related mathematically but distinct statistically and philosophically. Regulatory agencies require strong control of the family-wise error rate (FWER), the risk of falsely rejecting any null hypothesis at any analysis. The correlations between test statistics at interim analyses and the final analysis are therefore routinely used in group sequential designs to achieve less conservative critical values. However, the same type of correlations between different comparisons, endpoints or sub-populations are less commonly used. As a result, FWER is in practice often controlled conservatively for commonly applied procedures. Repeated testing of the same null hypothesis may give changing results, when the hypothesis is rejected at an interim but accepted at the final analysis. The mathematically correct overall rejection is at odds with an inference theoretic approach and with common sense. We discuss these two issues, of incorporating correlations and how to interpret time-changing conclusions, and provide case studies where power can be increased while adhering to sound statistical principles.
DOI: 10.6084/m9.figshare.17014471
title: Inclusion of unexposed subjects improves the precision and power of self-controlled case series method

description: The self-controlled case series is an important method in the studies of the safety of biopharmaceutical products. It uses the conditional Poisson model to make comparison within persons. In models without adjustment for age (or other time-varying covariates), cases who are never exposed to the product do not contribute any information to the estimation. We provide analytic proof and simulation results that the inclusion of unexposed cases in the conditional Poisson model with age adjustment reduces the asymptotic variance of the estimator of the exposure effect and increases power. We re-analysed a vaccine safety dataset to illustrate.
DOI: 10.6084/m9.figshare.17014471.v1
title: Inclusion of unexposed subjects improves the precision and power of self-controlled case series method

description: The self-controlled case series is an important method in the studies of the safety of biopharmaceutical products. It uses the conditional Poisson model to make comparison within persons. In models without adjustment for age (or other time-varying covariates), cases who are never exposed to the product do not contribute any information to the estimation. We provide analytic proof and simulation results that the inclusion of unexposed cases in the conditional Poisson model with age adjustment reduces the asymptotic variance of the estimator of the exposure effect and increases power. We re-analysed a vaccine safety dataset to illustrate.
DOI: 10.5281/zenodo.6581345
title: Neosilurus hyrtlii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6581344
title: Neosilurus hyrtlii decontaminated FSCR

description: .
DOI: 10.48370/ofd/nam7cj
title: Sorex minutus - 17676, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1957-01-03, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/lgg7d2
title: Sorex minutus - 128463, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1978-07-07, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/e6mekf
title: Sorex minutus - 3925, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1953-11-16, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/4hjhtq
title: Sorex minutus - 138407, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1981-02-12, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/34qbtu
title: Sorex minutus - 19518, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1957-12-19, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/gakpvn
title: Sorex minutus - 6523, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1954-09-04, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/gftjts
title: Sorex minutus - 25444, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1961-08-04, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/iwbbzf
title: Sorex minutus - 3680, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1953-09-13, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/0x5kia
title: Sorex minutus - 138710, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1981-06-04, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/8pm7xe
title: Sorex minutus - 63253, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1967-06-09, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/kiefeh
title: Sorex minutus - 13098, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1955-08-28, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/c53k0e
title: Sorex minutus - 104583, Zoological collection of the Mammal Research Institute, PAS

description: Sorex minutus (Eurasian pygmy shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1972-05-04, in: Białowieża National Park, Poland. Material type: