cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2951263.v9
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v10
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x (590d57f32fed). See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v11
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v1
title: UNH-RVAT 3-D SST RANS simulation results

description: Data from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v12
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v13
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v2
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v3
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v14
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v4
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v15
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v16
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2875591
title: Data of a science knowledge test: Simulation of item preknowledge

description: Context If test items are known in advance (item preknowledge) the validity of a test is in jeopardy. How can we know if this has happened? Methods In order to simulate how data would look like if some test takers possessed item preknowledge we compromised two original datasets: Responses to a predetermined set of items were set to correct for 10% of test takers, randomly selected. In reruns, the proportion was varied to be 5%, 2.5%, and 1%. Item difficulty, item discrimination, item fit, and local dependence were computed using an IRT 2PL model. Then changes in these item properties from the non-compromised to the compromised dataset were scrutinized for their sensitivity to item preknowledge. Data In each file the responses to a test with 80 items are given (0 = not correct / 1= correct). The compromised datasets (that contain simulated test takers with item preknowledge) are flagged with the suffix _pX, where X desribes the prevalence of item preknowledge.
DOI: 10.6084/m9.figshare.2885308.v5
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v17
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v6
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2868445
title: Diversity and identification of fungi associated with needles of <i>Pinus radiata</i> in Tasmania

description: Needle fungi have been extensively studied in conifers but rarely in <i>Pinus radiata</i>. Previous studies of <i>P. radiata</i> have been based on fungal isolation and not direct PCR detection from needles. This research was a component of a study examining factors linked to spring needle cast (SNC) in Tasmanian <i>P. radiata</i> plantations and aimed to identify as many as possible of the fungal species commonly associated with <i>P. radiata</i> needles in Tasmanian plantations. Needle samples were collected from 13 sites representative of the range of sites in which <i>P. radiata</i> is grown in Tasmania. Fungi were detected by a direct PCR approach and identified using barcode sequences from a reference collection of isolates from Tasmania, mainland Australia and New Zealand as well as sequences from the international nucleotide sequence databases. The total number of molecular operational taxonomic units (MOTUs) was 152, with 127 detected by direct PCR and sequencing, and only 35 operational taxonomic units (OTUs) isolated by culture-based methods. Dothideomycetes was the most diverse class detected in this study, with many MOTUs detected by direct PCR and not isolated. Leotiomycetes was the second-most diverse class and Sordariomycetes third, with several OTUs frequently isolated but rarely or not at all detected by direct PCR. DNA sequence data facilitated the discrimination and identification of OTUs, but some effort was required to avoid confusion caused by poorly identified isolates in public DNA databases. This is the most comprehensive study yet of fungi associated with pine needles in Australia and highlights the hitherto unrecognised diversity of Teratosphaeriaceae in <i>P. radiata</i>.
DOI: 10.6084/m9.figshare.2885308.v7
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v18
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2868445.v1
title: Diversity and identification of fungi associated with needles of <i>Pinus radiata</i> in Tasmania

description: Needle fungi have been extensively studied in conifers but rarely in <i>Pinus radiata</i>. Previous studies of <i>P. radiata</i> have been based on fungal isolation and not direct PCR detection from needles. This research was a component of a study examining factors linked to spring needle cast (SNC) in Tasmanian <i>P. radiata</i> plantations and aimed to identify as many as possible of the fungal species commonly associated with <i>P. radiata</i> needles in Tasmanian plantations. Needle samples were collected from 13 sites representative of the range of sites in which <i>P. radiata</i> is grown in Tasmania. Fungi were detected by a direct PCR approach and identified using barcode sequences from a reference collection of isolates from Tasmania, mainland Australia and New Zealand as well as sequences from the international nucleotide sequence databases. The total number of molecular operational taxonomic units (MOTUs) was 152, with 127 detected by direct PCR and sequencing, and only 35 operational taxonomic units (OTUs) isolated by culture-based methods. Dothideomycetes was the most diverse class detected in this study, with many MOTUs detected by direct PCR and not isolated. Leotiomycetes was the second-most diverse class and Sordariomycetes third, with several OTUs frequently isolated but rarely or not at all detected by direct PCR. DNA sequence data facilitated the discrimination and identification of OTUs, but some effort was required to avoid confusion caused by poorly identified isolates in public DNA databases. This is the most comprehensive study yet of fungi associated with pine needles in Australia and highlights the hitherto unrecognised diversity of Teratosphaeriaceae in <i>P. radiata</i>.
DOI: 10.6084/m9.figshare.2868064
title: Limits and possibilities in the geolocation of humans using multiple isotope ratios (H, O, N, C) of hair from east coast cities of the USA<sup>*</sup>

description: We examined multiple natural abundance isotope ratios of human hair to assess biological variability within and between geographic locations and, further, to determine how well these isotope values predict location of origin. Sampling locations feature differing seasonality and mobile populations as a robust test of the method. Serially-sampled hair from Cambridge, MA, USA, shows lower δ<sup>2</sup>H and δ<sup>18</sup>O variability over a one-year time course than model-predicted precipitation isotope ratios, but exhibits considerable differences between individuals. Along a ∼13° north-south transect in the eastern USA (Brookline, MA, 42.3 ° N, College Park, MD, 39.0 ° N, and Gainesville, FL, 29.7 ° N) δ<sup>18</sup>O in human hair shows relatively greater differences and tracks changes in drinking water isotope ratios more sensitively than δ<sup>2</sup>H. Determining the domicile of humans using isotope ratios of hair can be confounded by differing variability in hair δ<sup>18</sup>O and δ<sup>2</sup>H between locations, differential incorporation of H and O into this protein and, in some cases, by tap water δ<sup>18</sup>O and δ<sup>2</sup>H that differ significantly from predicted precipitation values. With these caveats, randomly chosen people in Florida are separated from those in the two more northerly sites on the basis of the natural abundance isotopes of carbon, nitrogen, hydrogen, and oxygen.
DOI: 10.6084/m9.figshare.2951263.v19
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v8
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2868064.v2
title: Limits and possibilities in the geolocation of humans using multiple isotope ratios (H, O, N, C) of hair from east coast cities of the USA<sup>*</sup>

description: We examined multiple natural abundance isotope ratios of human hair to assess biological variability within and between geographic locations and, further, to determine how well these isotope values predict location of origin. Sampling locations feature differing seasonality and mobile populations as a robust test of the method. Serially-sampled hair from Cambridge, MA, USA, shows lower δ<sup>2</sup>H and δ<sup>18</sup>O variability over a one-year time course than model-predicted precipitation isotope ratios, but exhibits considerable differences between individuals. Along a ∼13° north-south transect in the eastern USA (Brookline, MA, 42.3 ° N, College Park, MD, 39.0 ° N, and Gainesville, FL, 29.7 ° N) δ<sup>18</sup>O in human hair shows relatively greater differences and tracks changes in drinking water isotope ratios more sensitively than δ<sup>2</sup>H. Determining the domicile of humans using isotope ratios of hair can be confounded by differing variability in hair δ<sup>18</sup>O and δ<sup>2</sup>H between locations, differential incorporation of H and O into this protein and, in some cases, by tap water δ<sup>18</sup>O and δ<sup>2</sup>H that differ significantly from predicted precipitation values. With these caveats, randomly chosen people in Florida are separated from those in the two more northerly sites on the basis of the natural abundance isotopes of carbon, nitrogen, hydrogen, and oxygen.
DOI: 10.6084/m9.figshare.2951263.v20
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2868064.v1
title: Limits and possibilities in the geolocation of humans using multiple isotope ratios (H, O, N, C) of hair from east coast cities of the USA

description: We examined multiple natural abundance isotope ratios of human hair to assess biological variability within and between geographic locations and, further, to determine how well these isotope values predict location of origin. Sampling locations feature differing seasonality and mobile populations as a robust test of the method. Serially-sampled hair from Cambridge, MA, USA, shows lower δ<sup>2</sup>H and δ<sup>18</sup>O variability over a one-year time course than model-predicted precipitation isotope ratios, but exhibits considerable differences between individuals. Along a ∼13° north-south transect in the eastern USA (Brookline, MA, 42.3 ° N, College Park, MD, 39.0 ° N, and Gainesville, FL, 29.7 ° N) δ<sup>18</sup>O in human hair shows relatively greater differences and tracks changes in drinking water isotope ratios more sensitively than δ<sup>2</sup>H. Determining the domicile of humans using isotope ratios of hair can be confounded by differing variability in hair δ<sup>18</sup>O and δ<sup>2</sup>H between locations, differential incorporation of H and O into this protein and, in some cases, by tap water δ<sup>18</sup>O and δ<sup>2</sup>H that differ significantly from predicted precipitation values. With these caveats, randomly chosen people in Florida are separated from those in the two more northerly sites on the basis of the natural abundance isotopes of carbon, nitrogen, hydrogen, and oxygen.
DOI: 10.6084/m9.figshare.2885308.v9
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v21
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v22
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v10
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v11
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v23
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v12
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v24
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v13
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v25
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v14
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2844502
title: BBSD_DATASET_PONE-D-15-16554R2

description: four datasets of social network
DOI: 10.6084/m9.figshare.2951263.v26
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2834056
title: Targeted Doxorubicin Delivery to Brain Tumors via Minicells: Proof of Principle Using Dogs With Spontaneously Occurring Tumors as a Model.

description: To evaluate the safety and efficacy of EGFR targeted, doxorubicin loaded minicells to deliver doxorubicin to spontaneous brain tumors in 17 companion dogs; a comparative oncology model of human brain cancers. <sup>EGFR</sup>minicells<sub>Dox</sub> were administered weekly via intravenous injection to 17 dogs with late-stage brain cancers. Biodistribution was assessed using PET and MRI. Anti-tumor response was determined using MRI, and blood samples were subject to toxicology (hematology, biochemistry) and inflammatory marker analysis. Targeted, doxorubicin-loaded minicells rapidly localized to the core of brain tumors. Complete resolution or marked tumor regression (&gt;90% reduction in tumor volume) were observed in 23.53% of the cohort, with lasting anti-tumor responses characterized by remission in three dogs for more than two years. The median overall survival was 264 days (range 49 to 973). No adverse clinical, hematological or biochemical effects were observed with repeated administration of <sup>EGFR</sup>minicells<sub>Dox</sub> (30 to 98 doses administered in 10 of the 17 dogs).
DOI: 10.6084/m9.figshare.2885308.v15
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.