cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23674254
title: Source data for main text and supplementary information

description: The therapeutic efficacy of whole tumor cell vaccines (TCV) is modest, which has delayed their translation into personalized immunotherapies in the clinic. Here, we develop an innovative and highly potent TCV platform based on photothermal nanoparticle-loaded tumor cell, which can be rationally applied to diverse tumor types to achieve on-demand boost of anti-tumor immune responses for effectively suppressing tumor growth. During the fabrication process, mild photothermal heating by near-infrared (NIR) laser irradiation induces the nanoparticle-bearing tumor cells to express heat shock proteins as endogenous adjuvants. After a single vaccination at the back of tumor-bearing mice, non-invasive NIR laser irradiation further induces mild hyperthermia at vaccination site, which promotes the recruitment, activation, and presentation of dendritic cells. Notably, using a new indicator we termed fluctuation of tumor growth rate, we rationally determine appropriate irradiation regimens (including optimized irradiation intervals and times). This innovative TCV platform enables on-demand NIR manipulation of immune responses, and we systematically demonstrate potent therapeutic efficacy against six murine models that mimicked a range of clinical requirements, notably including a sophisticated model based on humanized mice and patient-derived tumor xenografts.
DOI: 10.6075/j0cn72bc
title: Cars Overhead with Context (COWC). In Lawrence Livermore National Laboratory (LLNL) Open Data Initiative

description: The Cars Overhead With Context (COWC) dataset is a large set of annotated cars from overhead. It is useful for training a device such as a deep neural network to learn to detect and/or count cars. The COWC dataset has the following attributes: 1. Data from overhead at 15 cm per pixel resolution at ground (all data is EO). 2. Data from six distinct locations: Toronto Canada, Selwyn New Zealand, Potsdam and Vaihingen Germany, Columbus and Utah United States. 3. 32,716 unique annotated cars. 58,247 unique negative examples. 4. Intentional selection of hard negative examples. 5. Established baseline for detection and counting tasks. 6. Extra testing scenes for use after validation. The data includes wide area imagery with annotations as well as precompiled image sets for training/validation of classification and counting. Examples of the precompiled image sets are provided. A newer subset (COWC-M) also differentiates between four different types of automobiles. a) Sedan b) Pickup c) Other d) Unknown
DOI: 10.6084/m9.figshare.23674269
title: CDR3 high-throughput sequencing data

description: Clone frequencies of CDR3 sequences in the T cells derived from the lymph nodes of mice with indicated treatments.
DOI: 10.6084/m9.figshare.23674269.v1
title: CDR3 high-throughput sequencing data

description: Clone frequencies of CDR3 sequences in the T cells derived from the lymph nodes of mice with indicated treatments.
DOI: 10.6075/j0z31wjg
title: Luxor - Karnak - Obelisks. In CAVEcam Virtual Reality Photography Collection

description: Shown in this CAVEcam is a portion of the Temple of Karnak, on the Luxor side of the Nile. The Obelisk of Tuthmosis is prominent and the Obelisk of Hatshepsut is further back. Greg Wickham is seated with temple guards in the shade.
description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j01v5bw2
title: Luxor - Medinet Habu - Hypostyle. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Temple of Ramesses III at Medinet Habu. This is outside of the columns CAVEcam shot and the Royal Treasure Halls.
description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0f18wn4
title: Luxor - Temple - Night. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Luxor Temple showing the First Court of Ramesses II and the 14th Century Mosque of Abu al-Haggag, at night.
description: Dick Ainsworth used VR rendering with Adobe Lightroom to adjust exposure and extend dynamic range, stitching in PTGui, and final adjustments in Photoshop. Preserving both highlight and shadow detail helped compress the wide dynamic range in this image. Many of the spectators were removed via masking in PTGui and editing in Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j05h7d6g
title: Luxor - Temple - First Court - Night. In CAVEcam Virtual Reality Photography Collection

description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
description: This CAVEcam was shot in the Luxor Temple showing the First Court of Ramesses II and the 14th Century Mosque of Abu al-Haggag, at night.
DOI: 10.6075/j0js9ncj
title: Luxor - Temple - Entrance - Night. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Luxor Temple near the main entrance, at night.
description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0sb43pr
title: Luxor - Medinet Habu - Second Court. In CAVEcam Virtual Reality Photography Collection

description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
description: This CAVEcam was shot in the Temple of Ramsesses III at Medinet Habu. It is the Second Court.
DOI: 10.6075/j0x34vd3
title: Luxor - Medinet Habu - Royal Treasure 2. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Temple of Ramsesses III at Medinet Habu. This is inside one of the two Royal Treasure Halls. The particularly brilliant colors were captured by time exposures (about 2 sec. at f/16).
description: Dick Ainsworth rendered the images using VR rendering with Adobe Lightroom to adjust exposure and extend dynamic range, stitching in PTGui, and final adjustments in Photoshop. Multiple techniques were used in creating this final image. HDR recovery in Lightroom provided additional detail in both highlight and shadow areas. The image of the man in the doorway was from a secondary shot, spliced into the original panorama. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0pk0d3t
title: Luxor - Medinet Habu - Royal Treasure 1. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Temple of Ramsesses III at Medinet Habu. This is inside one of the Royal Treasure Halls. The particularly brilliant colors were captured by time exposures (about 2 sec. at f/16).
description: Dick Ainsworth -- VR rendering with Adobe Lightroom to adjust exposure and extend dynamic range, stitching in PTGui, and final adjustments in Photoshop. The exposure successfully captured the important shadow detail, but at the expense of highlights around the open door. I isolated the overexposed portion of the image and decreased exposure by two stops. This change, along with highlight recovery in Lightroom, recovered some highlights without changing detail or color saturation in the rest of the image. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0tb14t4
title: Luxor - Medinet Habu - First Court. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Temple of Ramsesses III at Medinet Habu. This is the First Court.
description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j09884xs
title: Luxor - Medinet Habu - Columns - Blue Ceiling. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Temple of Ramesses III at Medinet Habu. Of particular interest is the existing colors on the columns and ceilings, and the clear graffiti from 1817 and 1818. The overexposed portions of the image were, of course, due to the bright sunlight, and inspired subsequent taking of multiple exposures to attempt high-dynamic range (HDR) captures of scenes like this.
description: Dick Ainsworth -- VR rendering with Adobe Lightroom to adjust exposure and extend dynamic range, stitching in PTGui, and final adjustments in Photoshop. Several HDR techniques were used to literally construct this final image from multiple exposures. Image cloning between left and right channels was necessary to provide matching images of people in highlight areas, as well as building detail in the far background. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0d21vh9
title: Luxor - Thebes - Ramesseum. In CAVEcam Virtual Reality Photography Collection

description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
description: This CAVEcam was shot in the Ramsesseum in Thebes.
DOI: 10.6075/j0ht2m7q
title: Luxor - Temple - Outside - Columns. In CAVEcam Virtual Reality Photography Collection

description: This CAVEcam was shot in the Luxor Temple on the Nile side of the Great Collonade at dusk.
description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
DOI: 10.6075/j0nk3bz1
title: Luxor - Temple - Chapel. In CAVEcam Virtual Reality Photography Collection

description: Dick Ainsworth rendered images using PTGui and Photoshop. The geographic location displayed on this page is approximate.
description: This CAVEcam was shot in the Temple of Luxor, in one of the Chapels.
DOI: 10.6075/j0h12zxw
title: Women's Healthy Eating and Living (WHEL) Study

description: The Women's Healthy Eating & Living (WHEL) Study was an NIH-supported clinical trial. In compliance with the terms and conditions of NIH's Data Sharing Policy as well as to promote the concept of data sharing, these data are being made publicly available. Also in accordance with NIH policy, the datasets include only de-identified data and documentation. All personally identifiable health information such as dates or study sites has been removed in accordance with the HIPAA privacy rule. The Women's Healthy Eating and Living (WHEL) Study was a multisite randomized controlled trial of the effectiveness of a high-vegetable, low-fat diet, aimed at markedly raising circulating carotenoid concentrations from food sources, in reducing additional breast cancer events and early death in women with early-stage invasive breast cancer (within 4 years of diagnosis).
description: The study randomly assigned 3088 such women to an intensive diet intervention or to a comparison group between 1995 and 2000 and followed them through 2006. Two thirds of these women were under 55 years of age at randomization. This research study had a coordinating center and seven clinical sites. Randomization was stratified by age, stage of tumor and clinical site. A comprehensive intervention program that included intensive telephone counseling, cooking classes and print materials helped shift the dietary pattern of women in the intervention. Through an innovative telephone counseling program, dietary counselors encouraged women in the intervention group to meet the following daily behavioral targets: five vegetable servings, 16 ounces of vegetable juice, three fruit servings, 30 g of fiber and 15-20% energy from fat. Adherence assessments occurred at baseline, 6, 12, 24 or 36, 48 and 72 months. These assessments can include dietary intake (repeated 24-hour dietary recalls and food frequency questionnaire), circulating carotenoid concentrations, physical measures and questionnaires about health symptoms, quality of life, personal habits and lifestyle patterns. Outcome assessments were completed by telephone interview every 6 months with medical record verification. We assessed evidence of effectiveness by the length of the breast cancer event-free interval, as well as by overall survival separately in all the women in the study as well as specifically in women under and over the age of 55 years.
DOI: 10.6075/j06h4fbv
title: Data from: Who’s Asking? Interviewer Coethnicity Effects in African Survey Data. In Data from: Who's Asking? Interviewer Coethnicity Effects in African Survey Data

description: STUDY ABSTRACT: Face-to-face interviews constitute a social interaction between interviewer and respondent, and in the African context, social interactions are strongly shaped by ethnicity. Yet research using African survey data typically fails to account for the effect of shared ethnicity on survey responses. We find that respondents give systematically different answers to coethnic and noncoethnic interviewers across surveys in 14 African countries, but with significant variation in the degree of bias across question types and types of noncoethnic dyads, with the largest effects occurring where both the respondent and interviewer are members of ethnic groups with a history of political competition and conflict, and where the respondent or interviewer shares an ethnicity with the head of state. Our findings have practical implications for consumers of African survey data and underscore the context dependence of the social interaction that constitutes the survey experience.
description: Code and data formatted for Stata 13.
DOI: 10.6075/j0s180tq
title: Data from: Validation of geodetic seafloor benchmark stability using structure-from-motion and seafloor pressure data

description: The data were used to validate structure-from-motion underwater as a potential geodetic site imaging tool by confirming 3D modeled measurements with well-constrained heights determined from pressure measurements.
DOI: 10.6075/j0639n12
title: Data from: Moored Observations of Transport in the Solomon Sea. In Solomon Sea SPICE Mooring Data

description: This repository contains the gridded along and across channel velocities for each channel in addition to vertically interpolated temperature, salinity, and density observations for the 2012-2014 Solomon Sea SPICE moorings. Gridded observations are organized by channel with each channel repository containing an individual file for each combination of the tested interpolation schemes as described in: Alberty, M., J. Sprintall, J. MacKinnon, C. Germineaud, S. Cravatte, & A. Ganachaud. Moored Observations of Transport in the Solomon Sea. https://doi.org/10.1029/2019JC015143 All files are given in both .mat and NETCDF formats. A summary of the interpolation methods and file contents is given in the README.
description: The gridding and interpolation methods are described in detail in: Alberty, M., J. Sprintall, J. MacKinnon, C. Germineaud, S. Cravatte, & A. Ganachaud. Moored Observations of Transport in the Solomon Sea. https://doi.org/10.1029/2019JC015143 Mooring locations: 153° 06.024’E, 4° 57.48’S; 153° 16.864’E, 5° 09.853’S; 153° 19.937’E, 5° 09.448’S; 154° 17.975’E, 5° 08.283’S; 152° 33.86’E, 4° 06.17’S; 152° 31.116’E, 4° 06.82’S; 147° 50.05’E, 5° 54.96’S; 147° 46.68’E, 5° 56.64’S; 147° 39.96’E, 5° 58.69’S
DOI: 10.6075/j0bp0153
title: SBE 39plus Temperature (P) Recorder Product Manual. In Solomon Sea SPICE Mooring Data

description: Instrumentation manual for the SBE 39plus Temperature (pressure optional) Recorder with RS-232 Interface.
DOI: 10.6075/j02b8wbs
title: Solomon Sea SPICE Mooring Data 2012-2014. In Solomon Sea SPICE Mooring Data

description: The quality control procedure is described in the data report: Alberty, M. S, Germineaud, C., Sprintall, J., Ganachaud, A., & Cravatte, S. (2017). SPICE Mooring Data Report: Description and Quality Control. UC San Diego: Scripps Institution of Oceanography. Retrieved from https://escholarship.org/uc/item/6xd149s8 Mooring locations: 153° 06.024’E, 4° 57.48’S; 153° 16.864’E, 5° 09.853’S; 153° 19.937’E, 5° 09.448’S; 154° 17.975’E, 5° 08.283’S; 152° 33.86’E, 4° 06.17’S; 152° 31.116’E, 4° 06.82’S; 147° 50.05’E, 5° 54.96’S; 147° 46.68’E, 5° 56.64’S; 147° 39.96’E, 5° 58.69’S
description: This dataset contains raw and quality controlled (QC'ed) instrument data from moorings deployed in the Solomon Sea in July 2012 until March 2014 as a part of the Southwest Pacific Circulation and Climate Experiment (SPICE). The data include temperature, salinity, velocity and pressure measurements from instruments deployed across eight locations on nine moorings. A detailed description of each mooring's instrument configuration, data recovery, and quality control procedure is detailed in the SPICE Mooring Data Report (https://escholarship.org/uc/item/6xd149s8). Raw data for each mooring is organized by instrument type with all data and metadata files, mooring diagrams, and magnetic declinations provided. Additionally, instrument manuals and MATLAB scripts for reading in the raw data are included to facilitate the use of the raw data files. Please refer to the Raw Data README for additional information. Individual MATLAB MAT-files (.mat) are provided for each quality controlled instrument and organized by mooring using the following filename convention: Mooring_InstrumentType_SerialNumber_PlannedDepthInMeters_QualityControlLevel.mat Quality control levels will either be 0 or 1, with 0 indicating basic quality control and 1 indicates a higher level of quality control from the use of pre- and post-deployment calibration. Refer to the SPICE Mooring Data Report for the full discussion of the QC process and the QC Data README for an outline of the file contents. These data are provided as-is. We do our best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data themselves or the algorithms used in the generation of derived parameters. It is the user's responsibility to ensure that the data meets the user's needs. However, please report any observed discrepancies in the data to the contact listed below and we will do our best to fix them.
DOI: 10.6075/j0m32t4j
title: Recording Current Meter Model 7 & 8 (RCM 7 & 8) Operation Manual. In Solomon Sea SPICE Mooring Data

description: This manual describes the Vector Averaging Recording Current Meter, RCM7. The use of this instrument for measuring ocean currents requires practical insight into several fields including mooring, deployment and recovery of instruments, operation and maintenance, sensor calibration, data processing and interpretation.
DOI: 10.6075/j06w98ft
title: SBE 56 Temperature Logger Product Manual. In Solomon Sea SPICE Mooring Data

description: Instrumentation manual for the SBE 56 Temperature Logger.
DOI: 10.6075/j0gf0rvk
title: SBE 37-SM MicroCAT C-T-(P) Recorder Product Manual. In Solomon Sea SPICE Mooring Data

description: Instrumentation manual for the SBE 37-SM MicroCAT Conductivity and Temperature (pressure optional) Recorder with RS-232 interface.
DOI: 10.5281/zenodo.8141386
title: Dataset for the paper titled "The Fast X-ray Transient XRT 210423 and its Host Galaxy"

description: This package is the dataset for the paper titled "The Fast X-ray Transient XRT 210423 and its Host Galaxy".<br> <br> Instructions for analysis and to reproduce the figures: Note: These are minimalistic instructions. Please get in touch with me (deepakeappachen5@gmail.com) for more details. <br> 1a) We used ESO reflex, la cosmic and IRAF for cleaning, cosmic ray removal, astrometric correction and stacking - the wcs corrected, cosmic ray removed FORS images for XRT 210423 are given as xrt210423_astrometrycorrec.fits. <br> 1b) We used the HiPERCAM pipeline to reduce the images. We used the la cosmic and IRAF for astrometric corrections, cosmic removal and stacking. The ugriz fits files are attached. 2) We found the zero point by comparing it with the PanSTARRS Catalogue (zp.py is the script used, for FORS R band, we converted the PanSTARRS mags to R band using the transformation_eqn_to_R_band.py) 3) For the artificial star experiment and PSF photometry, we used IRAF/Pyraf (python version 2.7). We modelled the PSF from the FORS and HiPERCAM images. (phot_pyraf_new.py was used for the artificial star experiment)<br> - the PSF images: <br> R: Rfors.fits.psf.1.fits<br> u: u.fits.psf.1.fits<br> g: g.fits.psf.1.fits<br> r: r.fits.psf.1.fits<br> i: i.fits.psf.1.fits<br> z: z.fits.psf.1.fits 5) For the photometry, we used the SExtractor. 6) For spectroscopy, we use XSHOOTER pipeline to obtain the cleaned 2D spectrum.<br> TOO_hard-hostXRT210423_SCI_SLIT_FLUX_MERGE2D_NIR.fits<br> TOO_hard-hostXRT210423_SCI_SLIT_FLUX_MERGE2D_VIS.fits 7) For SED fitting we used BAGPIPES. <br> The code used for SED fiiting: photz_bagpipes_n.py Note: We used the stantard filter profiles from http://svo2.cab.inta-csic.es/svo/theory/fps3/index.php?mode=browse&gname=GTC&gname2=HIPERCAM&asttype=astro The codes and the necessary files required for reproducing the Figures are given. Figure 1: plot_abell.py<br> plot_n.py <br> Figure 2:<br> XRT_210423.ipynb<br> XRT_210423_pow.txt<br> XRT_210423_HR.txt<br> XRT_210423_model.txt<br> <br> Figure 3: 2dspec_plot_O3.py Figure 4: Obtained by running the BAGPIPES code. Figure 5: offset.py<br> usING: comparison_offset_data.txt<br> fong+22_deepak.txt and sfr_mass.py<br> usING: SNII.dat<br> SNIc.dat<br> SNIb.dat<br> SGRBs_host_properties_fong.txt<br> Schulze_host_properties.txt <br> Figure 6:<br> OL_lightcurves.py<br> using: kilonova.csv<br> SGRB_AG.dat<br> SN_2008D.dat
DOI: 10.5281/zenodo.8141385
title: Dataset for the paper titled "The Fast X-ray Transient XRT 210423 and its Host Galaxy"

description: This package is the dataset for the paper titled "The Fast X-ray Transient XRT 210423 and its Host Galaxy".<br> <br> Instructions for analysis and to reproduce the figures: Note: These are minimalistic instructions. Please get in touch with me (deepakeappachen5@gmail.com) for more details. <br> 1a) We used ESO reflex, la cosmic and IRAF for cleaning, cosmic ray removal, astrometric correction and stacking - the wcs corrected, cosmic ray removed FORS images for XRT 210423 are given as xrt210423_astrometrycorrec.fits. <br> 1b) We used the HiPERCAM pipeline to reduce the images. We used the la cosmic and IRAF for astrometric corrections, cosmic removal and stacking. The ugriz fits files are attached. 2) We found the zero point by comparing it with the PanSTARRS Catalogue (zp.py is the script used, for FORS R band, we converted the PanSTARRS mags to R band using the transformation_eqn_to_R_band.py) 3) For the artificial star experiment and PSF photometry, we used IRAF/Pyraf (python version 2.7). We modelled the PSF from the FORS and HiPERCAM images. (phot_pyraf_new.py was used for the artificial star experiment)<br> - the PSF images: <br> R: Rfors.fits.psf.1.fits<br> u: u.fits.psf.1.fits<br> g: g.fits.psf.1.fits<br> r: r.fits.psf.1.fits<br> i: i.fits.psf.1.fits<br> z: z.fits.psf.1.fits 5) For the photometry, we used the SExtractor. 6) For spectroscopy, we use XSHOOTER pipeline to obtain the cleaned 2D spectrum.<br> TOO_hard-hostXRT210423_SCI_SLIT_FLUX_MERGE2D_NIR.fits<br> TOO_hard-hostXRT210423_SCI_SLIT_FLUX_MERGE2D_VIS.fits 7) For SED fitting we used BAGPIPES. <br> The code used for SED fiiting: photz_bagpipes_n.py Note: We used the stantard filter profiles from http://svo2.cab.inta-csic.es/svo/theory/fps3/index.php?mode=browse&gname=GTC&gname2=HIPERCAM&asttype=astro The codes and the necessary files required for reproducing the Figures are given. Figure 1: plot_abell.py<br> plot_n.py <br> Figure 2:<br> XRT_210423.ipynb<br> XRT_210423_pow.txt<br> XRT_210423_HR.txt<br> XRT_210423_model.txt<br> <br> Figure 3: 2dspec_plot_O3.py Figure 4: Obtained by running the BAGPIPES code. Figure 5: offset.py<br> usING: comparison_offset_data.txt<br> fong+22_deepak.txt and sfr_mass.py<br> usING: SNII.dat<br> SNIc.dat<br> SNIb.dat<br> SGRBs_host_properties_fong.txt<br> Schulze_host_properties.txt <br> Figure 6:<br> OL_lightcurves.py<br> using: kilonova.csv<br> SGRB_AG.dat<br> SN_2008D.dat