cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ieglsl
title: 0000100547.tif
DOI: 10.57745/4vildz
title: 0000100548.tif
DOI: 10.57745/2gfrxi
title: 0000100549.tif
DOI: 10.57745/veslgm
title: 0000100550.tif
DOI: 10.57745/ypidnw
title: 0000100551.tif
DOI: 10.57745/zqbzmc
title: 0000100552.tif
DOI: 10.57745/uy6adi
title: 0000100553.tif
DOI: 10.57745/7cx9tl
title: 0000100554.tif
DOI: 10.57745/tibweo
title: 0000100555.tif
DOI: 10.57745/kv3iep
title: 0000100556.tif
DOI: 10.57745/ap0976
title: 0000100557.tif
DOI: 10.57745/dsd8m4
title: 0000100558.tif
DOI: 10.57745/4si8jk
title: 0000100559.tif
DOI: 10.57745/rnhcio
title: 0000100560.tif
DOI: 10.57745/8xucnk
title: 0000100561.tif
DOI: 10.57745/mqdds1
title: 0000100562.tif
DOI: 10.57745/sooi6o
title: 0000100563.tif
DOI: 10.57745/0tot2z
title: 0000100564.tif
DOI: 10.57745/j7w2fi
title: 0000100565.tif
DOI: 10.57745/3o7xuz
title: 0000100566.tif
DOI: 10.57745/qi5u3r
title: 0000100567.tif
DOI: 10.57745/cdv87u
title: 0000100568.tif
DOI: 10.57745/eczczq
title: 0000100569.tif
DOI: 10.57745/zcuzjd
title: 0000100570.tif
DOI: 10.57745/mkw7ly
title: 0000100571.tif
DOI: 10.57745/3mwec7
title: 0000100572.tif
DOI: 10.57745/0m8g1n
title: 0000100573.tif
DOI: 10.57745/wavprx
title: 0000100574.tif
DOI: 10.57745/pdqgtu
title: 0000100575.tif
DOI: 10.57745/az5mmo
title: 0000100576.tif
DOI: 10.57745/i02ebq
title: 0000100577.tif
DOI: 10.57745/8wg3vz
title: 0000100578.tif
DOI: 10.57745/4zdzms
title: 0000100579.tif
DOI: 10.57745/efiuhi
title: 0000100580.tif
DOI: 10.57745/xnwg9o
title: 0000100581.tif
DOI: 10.57745/gecf6b
title: 0000100582.tif
DOI: 10.57745/virmmd
title: 0000100583.tif
DOI: 10.57745/wraanq
title: 0000100584.tif
DOI: 10.57745/csrqdj
title: 0000100585.tif
DOI: 10.57745/sf49pj
title: 0000100586.tif
DOI: 10.57745/gmdisg
title: 0000100587.tif
DOI: 10.57745/7kouux
title: 0000100588.tif
DOI: 10.57745/vke3jk
title: 0000100589.tif
DOI: 10.57745/80up6w
title: 0000100590.tif
DOI: 10.57745/i32nxl
title: 0000100591.tif
DOI: 10.57745/mllbh2
title: 0000100592.tif
DOI: 10.5519/qd.b2iijlx4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5258/soton/d2336
title: Post-traumatic growth in addiction recovery - quantitative dataset in support of the Southampton Doctoral Thesis 'Exploring and measuring psychological growth in addiction recovery'

description: Quantitative data collected from online cross-sectional survey using the Qualtrics platform. Data stored as an SPSS file (using SPSS v.28 software).
DOI: 10.5281/zenodo.7090953
title: metadata [IO Islamic 3126] گلشن هند

description: <strong>Gulshan-i-Hind.</strong> <strong>This manuscript is now IO Islamic 703 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 3126 here with notations and hyperlinks].</strong> 703 Gulshan-i-Hind ( گلشن هند ) . A tadhkirah of the most famous Rekhta poets, written in Hindûstânî by Mirzâ Luṭf, A.H. 1215 (A.D. 1800, 1801), at the request of Mr. [John] Gilchrist (see fol.2<sup>a</sup>, l. 4 ab infra, and fol. 2<sup>b</sup>, l. 12). Beginning: رعنائى اور زيبائى دلبران سخن لو اس زينت آفرين كى حمد سى حاصل هى الخ The first poet of this alphabetical tadhkirah is <em>Âftâb</em>, on fol. 4<sup>a</sup>; the last, Yakrang, on fol. 195<sup>a</sup>. No date. On the inner side of the binding is an entry from A.H. 1265 (A.D. 1849). Comp. A. Sprenger, Catal., p. 184. No. 3126, ff. 196, ll. 17; the larger portion is written in Shikasta; ff. 42-79 and 81-104 in large and stiff Nasta’lîḳ; fol. 76<sup>b</sup> and parts of fol. 133 left blank; a few pages in diagonal lines; size, 11<sup>1/8</sup> in. by 6<sup>1/4</sup> in.
DOI: 10.5281/zenodo.7090952
title: metadata [IO Islamic 3126] گلشن هند

description: <strong>Gulshan-i-Hind.</strong> <strong>This manuscript is now IO Islamic 703 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 3126 here with notations and hyperlinks].</strong> 703 Gulshan-i-Hind ( گلشن هند ) . A tadhkirah of the most famous Rekhta poets, written in Hindûstânî by Mirzâ Luṭf, A.H. 1215 (A.D. 1800, 1801), at the request of Mr. [John] Gilchrist (see fol.2<sup>a</sup>, l. 4 ab infra, and fol. 2<sup>b</sup>, l. 12). Beginning: رعنائى اور زيبائى دلبران سخن لو اس زينت آفرين كى حمد سى حاصل هى الخ The first poet of this alphabetical tadhkirah is <em>Âftâb</em>, on fol. 4<sup>a</sup>; the last, Yakrang, on fol. 195<sup>a</sup>. No date. On the inner side of the binding is an entry from A.H. 1265 (A.D. 1849). Comp. A. Sprenger, Catal., p. 184. No. 3126, ff. 196, ll. 17; the larger portion is written in Shikasta; ff. 42-79 and 81-104 in large and stiff Nasta’lîḳ; fol. 76<sup>b</sup> and parts of fol. 133 left blank; a few pages in diagonal lines; size, 11<sup>1/8</sup> in. by 6<sup>1/4</sup> in.
DOI: 10.5281/zenodo.5734893
title: Spectroscopic ellipsometry mapping of PAAO (AJ-5-04-27 sample)

description: Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 57 seconds. The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-5-04-27 Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 50°, 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm<sup>2</sup> at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method after being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.7118686
description: The research was carried out under postdoctoral project "Patterned hybrid multilayer films for optical sensors", No. 1.1.1.2/VIAA/4/20/615.
DOI: 10.5281/zenodo.5734894
title: Spectroscopic ellipsometry mapping of PAAO (AJ-5-04-27 sample)

description: Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO). The sample was made by anodization of aluminum monocrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 57 seconds. The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-5-04-27 Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 50°, 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm<sup>2</sup> at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method after being covered with gold nanoparticles. The data can be found here: https://doi.org/10.5281/zenodo.7118686
description: The research was carried out under postdoctoral project "Patterned hybrid multilayer films for optical sensors", No. 1.1.1.2/VIAA/4/20/615.
DOI: 10.5281/zenodo.7006160
title: Data for "Pressure-induced non-radiative losses in halide perovskite light-emitting diodes"

description: The crystal structure files for the optimised pristine and defective MAPbBr3 in 2x2x2 supercell.
DOI: 10.5281/zenodo.7006159
title: Data for "Pressure-induced non-radiative losses in halide perovskite light-emitting diodes"

description: The crystal structure files for the optimised pristine and defective MAPbBr3 in 2x2x2 supercell.
DOI: 10.14278/rodare.1649
title: Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory"

description: <pre><em># </em>Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory" This dataset contains data and calculation scripts for the publication "Boosting first-principles molecular dynamics with orbital-free density functional theory". Its goal is to enable interested parties to reproduce the experiments we have carried out. <em>## </em>Prerequesites The following software versions are needed for the python scripts: <em>- </em>`python`: 3.8.x <em>- </em>`mala`: 1.1.0 (with `dftpy` installed) Further, make sure you have a working `Quantum ESPRESSO` and `VASP` installation and have downloaded additional data such as local pseudopotentials and ML models (for references, see publication). <em>## </em>Contents <em>- </em>`scripts/`: Example scripts for the three principal python tasks associated with out work: ML inference, trajectory analysis and OF-DFT-MD runs (via DFTPy). The scripts are general blueprints for these experiments and can be adjusted to perform all of the calculations given in the publication. <em>- </em>`data/`: Contains raw calculation data for the three investigated systems (hydrogen, beryllium and aluminium). Since the main goal of this work is to compare OF-DFT-MD initialized and ideal crystal structure initialized trajectories and inferences, each of the three system-folders contains a `MD_ideal_crystal_structure` and `MD_ofdft_init` folder, with ideal crystal structure and OF-DFT-MD initialized data, respectively. Therein, contents may differ; e.g. aluminium contains DFT calculation data, for beryllium data is divided by system size and Nosé mass, while for hydrogen data for different temperatures is given. </pre>
DOI: 10.17045/sthlmuni.19173965.v2
title: Supplementary information: Anthropogenic organic contaminants analysed in human blood and combined risk

description: The number of chemicals in the anthroposphere is increasing and some of them end up in humans. A literature search was made to assess which anthropogenic organic contaminants (OCs) that have been analysed in blood from the general population. The reviewed articles were used to create a database of studies (Human Blood Database [HBDB], containing 559 OCs) reporting blood analyses made worldwide. All studies analysing blood from the Swedish population were compiled into a second database (Swedish Exposure Database [SEDB], containing 166 OCs) listing blood concentrations of OCs. Data from the SEDB showed decreasing levels of regulated chemicals in blood over time, indicating that regulation had made an impact. The Hazard Index (HI) approach was used as a qualitative mixture risk assessment of the OCs with established human biomonitoring guidance values (HBM-GVs) and blood levels in the SEDB. Nine HBM-GVs were found and the HI of the corresponding OCs/groups of OCs showed that a risk of adverse effects in the general population could not be excluded, which is a cause for concern considering that only 6% of the analysed OCs in the SEDB were included. This study presents the OCs identified in human blood and concentration time trends. The study highlights the lack of HBM-GVs needed for mixture risk assessments to assess the combined risk of chemical exposure to the general population. <br> Online Resource 1 is a spreadsheet containing the two compiled databases HBDB and SEDB. Online Resource 2 provides additional concentration trends and tables not present in the article itself.
DOI: 10.17045/sthlmuni.19173965
title: Supplementary information: Anthropogenic organic contaminants analysed in human blood and combined risk

description: The number of chemicals in the anthroposphere is increasing and some of them end up in humans. A literature search was made to assess which anthropogenic organic contaminants (OCs) that have been analysed in blood from the general population. The reviewed articles were used to create a database of studies (Human Blood Database [HBDB], containing 559 OCs) reporting blood analyses made worldwide. All studies analysing blood from the Swedish population were compiled into a second database (Swedish Exposure Database [SEDB], containing 166 OCs) listing blood concentrations of OCs. Data from the SEDB showed decreasing levels of regulated chemicals in blood over time, indicating that regulation had made an impact. The Hazard Index (HI) approach was used as a qualitative mixture risk assessment of the OCs with established human biomonitoring guidance values (HBM-GVs) and blood levels in the SEDB. Nine HBM-GVs were found and the HI of the corresponding OCs/groups of OCs showed that a risk of adverse effects in the general population could not be excluded, which is a cause for concern considering that only 6% of the analysed OCs in the SEDB were included. This study presents the OCs identified in human blood and concentration time trends. The study highlights the lack of HBM-GVs needed for mixture risk assessments to assess the combined risk of chemical exposure to the general population. <br> Online Resource 1 is a spreadsheet containing the two compiled databases HBDB and SEDB. Online Resource 2 provides additional concentration trends and tables not present in the article itself.
DOI: 10.17045/sthlmuni.19173965.v1
title: Supplementary information: Anthropogenic organic contaminants analysed in human blood and combined risk

description: The number of chemicals in the anthroposphere is increasing and some of them end up in humans. A literature search was made to assess which anthropogenic organic contaminants (OCs) that have been analysed in blood from the general population. The reviewed articles were used to create a database of studies (Human Blood Database [HBDB], containing 559 OCs) reporting blood analyses made worldwide. All studies analysing blood from the Swedish population were compiled into a second database (Swedish Exposure Database [SEDB], containing 166 OCs) listing blood concentrations of OCs. Data from the SEDB showed decreasing levels of regulated chemicals in blood over time, indicating that regulation had made an impact. The Hazard Index (HI) approach was used as a qualitative mixture risk assessment of the OCs with established human biomonitoring guidance values (HBM-GVs) and blood levels in the SEDB. Nine HBM-GVs were found and the HI of the corresponding OCs/groups of OCs showed that a risk of adverse effects in the general population could not be excluded, which is a cause for concern considering that only 6% of the analysed OCs in the SEDB were included. This study presents the OCs identified in human blood and concentration time trends. The study highlights the lack of HBM-GVs needed for mixture risk assessments to assess the combined risk of chemical exposure to the general population. <br> Online Resource 1 is a spreadsheet containing the two compiled databases HBDB and SEDB. Online Resource 2 provides additional concentration trends and tables not present in the article itself.
DOI: 10.6084/m9.figshare.21229829
title: SPSS file for Visual Impairment, Hawassa, Ethiopia.sav

description: # Title of Dataset: - [ ] Spss file for visual impairment among DM, Hawassa, Ethiopia ## Description of the Data and file structure - [ ] a spss data for visual impairment among adult diabites mellitus, Hawassa, ethiopa were collected through direct interview and chart review with accourdance of ethical rules and regulation. ## Sharing/access Information - [ ] All future access of the data set will be with the consent of the autor.and, all data were orginally collected from the study partcipants.
DOI: 10.5281/zenodo.7108216
title: Applying Sensor Fusion to Augment Hyperspectral Data with Depth Information

description: The research data for the paper "Applying Sensor Fusion to Augment Hyperspectral Data with Depth Information"<br> <br> Data in the archive "hyperdepth.tar.gz" includes: <br> <strong>calibration_images/</strong><br> includes preprocessed images for calibrating both cameras <strong>pointclouds/</strong><br> Includes individual hyperspectral point clouds for each view (front, rightmost, right, leftmost, left with postfixes correspondingly: edesta, oikea, oikea2, vasen, vasen2)<br> <br> <strong>raw_images/</strong><br> Two directories "day5" and "day6" which include the raw hyperspectral images and kinect images<br> <br> Some extra images are included which were not used in the research paper. <strong>2022-03-11_112336_stereocalibration.json</strong> includes calibration results (mainly the intrinsic camera matrix and extrinsic parameters) for the setup.
DOI: 10.5281/zenodo.7108215
title: Applying Sensor Fusion to Augment Hyperspectral Data with Depth Information

description: The research data for the paper "Applying Sensor Fusion to Augment Hyperspectral Data with Depth Information"<br> <br> Data in the archive "hyperdepth.tar.gz" includes: <br> <strong>calibration_images/</strong><br> includes preprocessed images for calibrating both cameras <strong>pointclouds/</strong><br> Includes individual hyperspectral point clouds for each view (front, rightmost, right, leftmost, left with postfixes correspondingly: edesta, oikea, oikea2, vasen, vasen2)<br> <br> <strong>raw_images/</strong><br> Two directories "day5" and "day6" which include the raw hyperspectral images and kinect images<br> <br> Some extra images are included which were not used in the research paper. <strong>2022-03-11_112336_stereocalibration.json</strong> includes calibration results (mainly the intrinsic camera matrix and extrinsic parameters) for the setup.
DOI: 10.6084/m9.figshare.14753052
title: Anonymized DICOM-RT dose-volume histogram, clinical, and serial DIGEST data from the MD Anderson Head and neck Cancer Symptom Working Group (Kamal et al., PMCID: PMC6595477)

description: Anonymized public clinical, dose-volume, and DIGEST outcome data, as detailed in Kamal et al. (PMID: 29961581; PMCID: PMC6595477).<br>Data consists of 3 txt files encoded as csv files: 1 detailing clinical variables and serial DIGEST objective swallowing assessments ("Anonymized clinical data.txt"); 1 detailing dose-volume histograms parameters in 1-Gy bins for labeled swallowing muscle organs at risk [OARs]("Anonymized OAR dose-summary .txt"); and 1 detailing summary statistics (mean and maximum dose) for all listed OARs ("Anonymized OAR dose-summary .txt"). Patient cases are labeled using a random-number-generated hex as an anonymized patient "AnonID" across all .txt files.<br>Data labels are generally self-explanatory; please email MKJomaa [AT] mdanderson.org with queries re: syntax.As these are fully anonymized data, we are unable to link them to internal datasets or provide additional case-specific information outside that contained herein.
DOI: 10.6084/m9.figshare.21229955
title: Simulated image data for measuring the influence of phase error on SIM reconstruction quality

description: Simulated image data for measuring the influence of phase error on SIM reconstruction quality
DOI: 10.6084/m9.figshare.21229955.v1
title: Simulated image data for measuring the influence of phase error on SIM reconstruction quality

description: Simulated image data for measuring the influence of phase error on SIM reconstruction quality
DOI: 10.6084/m9.figshare.21230138
title: Images used for measuring resolution increase

description: Raw MAI-SIM image data used to calculated resolution increase. Pixel size is 86nm.
DOI: 10.6084/m9.figshare.21230138.v1
title: Images used for measuring resolution increase

description: Raw MAI-SIM image data used to calculated resolution increase. Pixel size is 86nm.
DOI: 10.34740/kaggle/dsv/4263742
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.23728/b2share.78cdc99c8d454d8894c086a01f561627
title: A Quantile Regression Forests approach for sedigraph-reconstruction and sediment yield calculation

description: Data set accompanying the publication "Reconstructing five decades of sediment export from two glaciated high-alpine catchments in Tyrol, Austria, using nonparametric regression". The data set contains 1. the code of the quantile regression forest model applied in the above mentioned manuscript to reconstruct suspended sediment concentrations and yields for the past five decades at the two nested gauges Vernagt (VF) and Vent (V) in the Upper Ötztal, Austria, 2. the preprocessed input data (discharge, precipitation, air temperature and suspended sediment concentrations derived from turbidity measurements) for both gauges, and 3. the model results.
description: 1. The model code is a modified version of this code: https://github.com/TillF/ssc_prediction (Jan 18th 2022) Modifications: - extended preprocessing steps in different temporal resolutions - includes tuning of aggregation factors, which determine the time span of antecedent hydroclimatic (discharge, temperature, precipitation) conditions included in the calculations 2. The input data are preprocessed versions of the original data which have been provided by the Hydrographic Service of Tyrol, Austria, and the Bavarian Academy of Sciences and Humanity, Munich, Germany, or are already available online (see table A1 in the appendix of the above mentioned manuscript for details): - gaps have been filled as far as possible, which includes combining and converting data from different stations, and - the data have been aggregated or disaggregated to achieve consistent temporal resolutions. 3. The model results can be found in the folder *GAUGE_NAME*/reconstruction_model/5_model_application/MC_01 - in the temporal resolution of the model (i.e. daily or hourly) as one table per year (e.g. flood_periods_quantForest_*GAUGE_NAME*_hist1.txt) - aggregated to annual suspended sediment yields (flood_periods_quantForest_*GAUGE_NAME*.txt)
DOI: 10.5281/zenodo.7124859
title: cyanoliseus_patagonus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7124858
title: cyanoliseus_patagonus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7124876
title: Heliostat and receiver efficiency calculated with DLR's software HFLCAL

description: The heliostat field and the receiver design efficiency was estimated for the design point by optimizing for lowest LCOE. The datasets could help other people design a heliostat field. For detailed analysis, please refer to Deliverable 1.2 (Process Parameters of Solar Particle Cycle) to be downloaded at: https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf
DOI: 10.5281/zenodo.7124875
title: Heliostat and receiver efficiency calculated with DLR's software HFLCAL

description: The heliostat field and the receiver design efficiency was estimated for the design point by optimizing for lowest LCOE. The datasets could help other people design a heliostat field. For detailed analysis, please refer to Deliverable 1.2 (Process Parameters of Solar Particle Cycle) to be downloaded at: https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf
DOI: 10.5281/zenodo.7124854
title: Heliostat field positions after optimization with DLR's software HFLCAL

description: The dataset provides the design of the heliostat field layout, in terms of number and positions. The filed layout is optimized by minimizing the estimated LCOE of the system, using the DLR tool Visual HFLCAL software The datasets could help other people design a heliostat field. For detailed analysis, please refer to Deliverable 1.2 (Process Parameters of Solar Particle Cycle) to be downloaded at: https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf