cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7504180
title: IODP Expedition 376 Laser height profile (section half)

description: Height profile data were measured on the Section Half Multisensor Logger (SHMSL) by a rangefinding laser and recorded in uncorrected height units in millimeters in CSV files.
DOI: 10.15787/vtt1/jj3lhx
title: TOSCo Benefits Assessment Data Logs

description: The TOSCo system uses wireless data communications from roadside units (RSUs) to connected vehicles to optimize mobility, fuel economy and emissions while traveling along urban corridors of equipped signalized intersections. The application, located in a vehicle, collects enhanced signal phase and timing (SPaT) including green window information, MAP messages, and Radio Technical Commission for Maritime services (RTCM) Correction Messages defined in SAE standard J2735 using Vehicle-to-Infrastructure (V2I) communications. TOSCo vehicles form strings operating under Cooperative Adaptive Cruise Control using data from nearby vehicles obtained by means of Vehicle-to-Vehicle (V2V) communications. Upon receiving enhanced SPaT and MAP messages, the vehicle application performs calculations to determine the vehicle’s optimal speed to pass the next traffic signal on a green light or to decelerate to a stop in an eco-friendly manner. This information is then sent to longitudinal vehicle control capabilities in the host vehicle. Phase 2 - System Build and Test of the TOSCo project implemented, verified, and deployed the system defined during Phase 1 - Modeling and Analysis along FM1960 in Houston, TX, estimated potential benefits and refined the system design. Work in Phase 2 is split into two sequential segments. Phase 2a addressed system implementation and verification under controlled conditions. Phase 2b deployed the system on a real-world traffic corridor and verified intended functionality. Further project detail can be found in the Traffic Optimization for Signalized Corridors (TOSCo) Phase 2 Project Final Report, June 30, 2022, FHWA-JPO-22-956, www.its.dot.gov Data for 79 corridor crossings (13 intersections either East or West bound) by individual TOSCo vehicles on FM 1960 in Houston, Texas used in the analysis of benefits: Vehicle Data Logs and HMI video files for each vehicle Infrastructure Data Logs Metadata explaining: Operating Mode Descriptions Corridor Description Test Scenario Description Verification Data File Structure Infrastructure Data Log Description Vehicle HMI Layout
DOI: 10.5281/zenodo.7504171
title: Landscape classes of combinations of elevation, slope angle, and aspect, for the Ilirney Lake System Region, Chukotka, Russia

description: The elevation was accessed for the area of interest in 90 m spatial resolution from the TanDEM-X 90 m digital elevation model (DEM) product (Krieger et al, 2013). Prior to spatial topographical parameters extraction, the DEM was resampled from the 90-m cell spacing to a 30-m resolution. The result was classified into 589 different possible combinations of elevation, slope angle, aspect. For the classification we used the possible combinations of elevation, slope, and aspect which were grouped into the following categories: Elevation: 0-400 m 400-450m 450-500m 500-600m 600-650m 650-700m 700-1000m 1000-1500m Slope: 0-2° 2-4° 4-6° 6-8° 8-10° 10-12° 12-16° 16-18° 18-20° 20-25° 25-50° Aspect: 0-45° 45-90° 90-135° 135-180° 180-225° 225-270° 270-315° 315-360° Format: Geotiff; projection UTM58N and 30x30 m tiles; extent: 642010.1, 654910.1, 7462218, 7492908 m (xmin, xmax, ymin, ymax)
description: This work has been supported by the German Federal Ministry of Education and Research (BMBF), which enabled the Russian-German research programme "Kohlenstoff im Permafrost KoPf" (grant no. 03F0764A), by the Initiative and Networking Fund of the Helmholtz Association and by the ERC consolidator grant Glacial Legacy of Ulrike Herzschuh (grant no. 772852).
description: {"references": ["Krieger G, Zink M, Bachmann M, Br\u00e4utigam B, Schulze D, Martone M, Rizzoli P, Steinbrecher U, Antony JW, De Zan F, Hajnsek I, Papathanassiou K, Kugler F, Rodriguez Cassola M, Younis M, Baumgartner S, L\u00f3pez-Dekker P, Prats P, Moreira A: TanDEM-X: a radar interferometer with two formation-flying satellites. Acta Astronautica, 89, 83\u201398, https://doi.org/10.1016/j.actaastro.2013.03.008, 2013."]}
DOI: 10.5281/zenodo.7504184
title: IODP Expedition 376 X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.5281/zenodo.7504183
title: IODP Expedition 376 X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.15787/vtt1/hdyjbu
title: TOSCo Corridor Verification Data Logs

description: The TOSCo system uses wireless data communications from roadside units (RSUs) to connected vehicles to optimize mobility, fuel economy and emissions while traveling along urban corridors of equipped signalized intersections. The application, located in a vehicle, collects enhanced signal phase and timing (SPaT) including green window information, MAP messages, and Radio Technical Commission for Maritime services (RTCM) Correction Messages defined in SAE standard J2735 using Vehicle-to-Infrastructure (V2I) communications. TOSCo vehicles form strings operating under Cooperative Adaptive Cruise Control using data from nearby vehicles obtained by means of Vehicle-to-Vehicle (V2V) communications. Upon receiving enhanced SPaT and MAP messages, the vehicle application performs calculations to determine the vehicle’s optimal speed to pass the next traffic signal on a green light or to decelerate to a stop in an eco-friendly manner. This information is then sent to longitudinal vehicle control capabilities in the host vehicle. Phase 2 - System Build and Test of the TOSCo project implemented, verified, and deployed the system defined during Phase 1 - Modeling and Analysis along FM1960 in Houston, TX, estimated potential benefits and refined the system design. Work in Phase 2 is split into two sequential segments. Phase 2a addressed system implementation and verification under controlled conditions. Phase 2b deployed the system on a real-world traffic corridor and verified intended functionality. Further project detail can be found in the Traffic Optimization for Signalized Corridors (TOSCo) Phase 2 Project Final Report, June 30, 2022, FHWA-JPO-22-956, www.its.dot.gov Data for 5 corridor crossings (13 intersections either East or West bound) verifying intended operation of the TOSCo vehicle string on FM 1960 in Houston, Texas: Vehicle Data Logs and HMI video files for each vehicle Infrastructure Data Logs Metadata explaining: Operating Mode Descriptions Corridor Description Test Scenario Description Verification Data File Structure Infrastructure Data Log Description Vehicle Data Log Description Vehicle HMI Layout
DOI: 10.15787/vtt1/v4c79f
title: TOSCo Closed Course Verification Data Logs

description: The TOSCo system uses wireless data communications from roadside units (RSUs) to connected vehicles to optimize mobility, fuel economy and emissions while traveling along urban corridors of equipped signalized intersections. The application, located in a vehicle, collects enhanced signal phase and timing (SPaT) including green window information, MAP messages, and Radio Technical Commission for Maritime services (RTCM) Correction Messages defined in SAE standard J2735 using Vehicle-to-Infrastructure (V2I) communications. TOSCo vehicles form strings operating under Cooperative Adaptive Cruise Control using data from nearby vehicles obtained by means of Vehicle-to-Vehicle (V2V) communications. Upon receiving enhanced SPaT and MAP messages, the vehicle application performs calculations to determine the vehicle’s optimal speed to pass the next traffic signal on a green light or to decelerate to a stop in an eco-friendly manner. This information is then sent to longitudinal vehicle control capabilities in the host vehicle. Phase 2 - System Build and Test of the TOSCo project implemented, verified, and deployed the system defined during Phase 1 - Modeling and Analysis along FM1960 in Houston, TX, estimated potential benefits and refined the system design. Work in Phase 2 is split into two sequential segments. Phase 2a addressed system implementation and verification under controlled conditions. Phase 2b deployed the system on a real-world traffic corridor and verified intended functionality. Further project detail can be found in the Traffic Optimization for Signalized Corridors (TOSCo) Phase 2 Project Final Report, June 30, 2022, FHWA-JPO-22-956, www.its.dot.gov Data for 16 single intersection approaches verifying intended operation of primary TOSCo modes in 5 scenarios (4 vehicle string) performed at TTI’s RELLIS campus: Vehicle Data Logs and HMI video files for each vehicle Infrastructure Data Logs String video (external) illustrating each scenario Metadata explaining: Operating Mode Descriptions Verification Test Scenario Descriptions Verification Run Selection Verification Data File Structure Infrastructure Data Log Description Vehicle Data Log Description Vehicle HMI Layout
DOI: 10.5066/p9xk3867
title: Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022)

description: This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices (ASD) FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscripts referenced below. Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties. Item 14 includes spectra added to version 1.1 of this data release which correspond to a closely related 2022 research effort and publication. The data provided here, and the processes used to calculate and analyze them, are further discussed in Hively, W.D., Lamb, B.T., Daughtry, C.S.T., Serbin, G., Dennison, P., Kokaly, R.F., Wu, Z., and Masek, J., 2021. Evaluation of SWIR recommended crop residue bands for the Landsat Next mission. Remote Sensing, 13, 18, 3718. https://doi.org/10.3390/rs13183718. Additional spectra processing techniques for item 14 are discussed in an additional publication by Lamb, B.T., Dennison, P., Hively, W.D., Kokaly, R.F., Serbin, G., Wu, Z., Dabney, P., Masek, J.G., Campbell, M., Daughtry, C.S.T. 2022. Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization. Remote Sensing (in press). Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties. The data provided here, and the processes used to calculate and analyze them, are further discussed in Hively, W.D., Lamb, B.T., Daughtry, C.S.T., Serbin, G., Dennison, P., Kokaly, R.F., Wu, Z., and Masek, J., 2021. Evaluation of SWIR recommended crop residue bands for the Landsat Next mission. Remote Sensing, 13, x. https://doi.org/10.3390/xxxxx Contents 1 ASD spectra for agricultural targets.csv 2 Gaussian spectra for agricultural targets.csv 3 Gaussian atm spectra for agricultural targets.csv 4 Boxcar spectra for agricultural targets.csv 5 Crop residue spectra.csv 6 Soil spectra.csv 7 MODTRAN mean reflectance and calculated radiance.csv 8 Gaussian spectra for shrubs and grassland targets.csv 9 Gaussian atm spectra for shrubs and grassland targets.csv 10 Index gaussian correlation output for agricultural targets.csv 11 Index boxcar correlation output for agricultural targets.csv 12 Index correlation output for shrubs and grassland targets.csv 13 Sensor radiometric properties.csv
DOI: 10.6073/pasta/0f81d6d9c2b0f6ee9e7151db57733aec
title: High frequency measurements from Lake Fryxell Meteorological Station (FRLM), McMurdo Dry Valleys, Antarctica (1993-2021, 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 15-minute data from the Lake Fryxell Meteorological Station (FRLM), located in Taylor Valley. BOYM was established in 1993, during the 93/94 field season.
DOI: 10.5281/zenodo.7504219
title: Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"

description: Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"
DOI: 10.5281/zenodo.7504218
title: Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"

description: Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"
DOI: 10.5281/zenodo.7503128
title: Bitcointalk.org Bounties(Altcoins) Dataset

description: Bounties (Altcoins) is a popular subtopic in forum Bitcointalk.org. The dataset contains all information produced in the subtopic since it became active for the first time in 2014. It also contains processed data from threads that have been categorised as Bounty hunter events.
DOI: 10.5281/zenodo.7503127
title: Bitcointalk.org Bounties(Altcoins) Dataset

description: Bounties (Altcoins) is a popular subtopic in forum Bitcointalk.org. The dataset contains all information produced in the subtopic since it became active for the first time in 2014. It also contains processed data from threads that have been categorised as Bounty hunter events.
DOI: 10.5281/zenodo.7387244
title: Mice infected with Low shedder S. mansoni parasites from cross A - cage 1 - Liver histopathology data.

description: The present dataset contains all the histopathology images used to quantify fibrotic areas, parasite egg counts and to quantify granuloma areas in liver of mice infected with <em>S. mansoni</em> Low shedder line. These data are presented in the manuscript entitled "No evidence for schistosome parasite fitness trade-offs in the intermediate and definitive host" (dataset # 4/11).<br> Each folder corresponds to one mouse sample and contain, along with a readme file, all the files used to quantify fibrotic area and egg counts (_TRICH.czi), to quantify granuloma area (_HE.czi), and the annotation file (.annotations) containing all the annotated granuloma areas.
description: We generated and used 11 datasets for this manuscript. - 1 dataset containing all the phenotype data collected and R scripts used for data analysis, and to generated the figures (Figures 2 to 5) present in the manuscript. - 10 larger datasets containing all the histopathology images of infected and control mice. These datasets have been uploaded separately, due to their size, and numbered 2-11/11.
DOI: 10.5281/zenodo.7387243
title: Mice infected with Low shedder S. mansoni parasites from cross A - cage 1 - Liver histopathology data.

description: The present dataset contains all the histopathology images used to quantify fibrotic areas, parasite egg counts and to quantify granuloma areas in liver of mice infected with <em>S. mansoni</em> Low shedder line. These data are presented in the manuscript entitled "No evidence for schistosome parasite fitness trade-offs in the intermediate and definitive host" (dataset # 4/11).<br> Each folder corresponds to one mouse sample and contain, along with a readme file, all the files used to quantify fibrotic area and egg counts (_TRICH.czi), to quantify granuloma area (_HE.czi), and the annotation file (.annotations) containing all the annotated granuloma areas.
description: We generated and used 11 datasets for this manuscript. - 1 dataset containing all the phenotype data collected and R scripts used for data analysis, and to generated the figures (Figures 2 to 5) present in the manuscript. - 10 larger datasets containing all the histopathology images of infected and control mice. These datasets have been uploaded separately, due to their size, and numbered 2-11/11.
DOI: 10.5281/zenodo.7504254
title: Brown Dwarfs are Violet: Python Tools for the Estimation of Human-eye Colors of Stars and Substellar Objects

description: The accompanying files include a Python Jupyter notebook (and associated data files read in by the Python code) that carry out the calculations described by Cranmer (2023), talk 246.05 presented at the 241st Meeting of the American Astronomical Society (AAS) in Seattle, Washington. The abstract of the talk is provided here: There has always been interest in the perceived colors of the stars. They were key to the development of the H-R diagram, and they are also used widely in educational and public-outreach imagery. Thus, it is useful to develop software tools to compute these colors, as accurately as possible, from spectral energy distributions. This presentation follows up on an RNAAS paper (Cranmer 2021) that presented a collection of objective (CIE coordinate) and subjective (RGB triple) colors for main-sequence stars and brown dwarfs. A new empirical method of converting from CIE to RGB values is described, and results for various stellar spectra are presented. Although brown dwarfs over a wide range of effective temperatures (400 to 2000 K) emit most of their flux in the infrared, their visible spectra often exhibit a local maximum around a strong dip in the Na I cross section at 0.4-0.5 microns. Thus, they may appear purple to human eyes. Also, the hottest (O-type) main-sequence stars may appear even "bluer than the blue sky" because of Paschen continuum absorption. This presentation will update earlier stellar and brown-dwarf color estimates using more recently published synthetic spectra, and it will also investigate the effects of atmospheric absorption, over a range of air-mass values, on these perceived colors. Python Jupyter notebooks that carry out these calculations will be uploaded to the Zenodo repository for open-access distribution. <strong>NOTE 1: </strong>The algorithms described here, for computing RGB triples, ought to be considered as preliminary results in ongoing research; i.e., they need additional testing and validation by comparing to the results of other more established ways of converting astronomical spectra to perceived colors. <strong>NOTE 2:</strong> These files follow on from those provided in another Zenodo upload associated with the 2021 RNAAS paper: https://doi.org/10.5281/zenodo.5293307
DOI: 10.5281/zenodo.7504253
title: Brown Dwarfs are Violet: Python Tools for the Estimation of Human-eye Colors of Stars and Substellar Objects

description: The accompanying files include a Python Jupyter notebook (and associated data files read in by the Python code) that carry out the calculations described by Cranmer (2023), talk 246.05 presented at the 241st Meeting of the American Astronomical Society (AAS) in Seattle, Washington. The abstract of the talk is provided here: There has always been interest in the perceived colors of the stars. They were key to the development of the H-R diagram, and they are also used widely in educational and public-outreach imagery. Thus, it is useful to develop software tools to compute these colors, as accurately as possible, from spectral energy distributions. This presentation follows up on an RNAAS paper (Cranmer 2021) that presented a collection of objective (CIE coordinate) and subjective (RGB triple) colors for main-sequence stars and brown dwarfs. A new empirical method of converting from CIE to RGB values is described, and results for various stellar spectra are presented. Although brown dwarfs over a wide range of effective temperatures (400 to 2000 K) emit most of their flux in the infrared, their visible spectra often exhibit a local maximum around a strong dip in the Na I cross section at 0.4-0.5 microns. Thus, they may appear purple to human eyes. Also, the hottest (O-type) main-sequence stars may appear even "bluer than the blue sky" because of Paschen continuum absorption. This presentation will update earlier stellar and brown-dwarf color estimates using more recently published synthetic spectra, and it will also investigate the effects of atmospheric absorption, over a range of air-mass values, on these perceived colors. Python Jupyter notebooks that carry out these calculations will be uploaded to the Zenodo repository for open-access distribution. <strong>NOTE 1: </strong>The algorithms described here, for computing RGB triples, ought to be considered as preliminary results in ongoing research; i.e., they need additional testing and validation by comparing to the results of other more established ways of converting astronomical spectra to perceived colors. <strong>NOTE 2:</strong> These files follow on from those provided in another Zenodo upload associated with the 2021 RNAAS paper: https://doi.org/10.5281/zenodo.5293307
DOI: 10.5519/qd.fe1b6n27
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (416 records)
DOI: 10.34740/kaggle/dsv/4808571
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7467033
title: Padeřov-Bible-handwriting-ground-truth: Initial release

description: This is ground truth based on the Padeřov Bible (Vienna, Austrian National Library, shelfmark Cod. 1175, 1432–1435), the bible of the third redaction of the Old Czech Bible translation. The transcription rules were based on semi-diplomatic transcription rules set by PERO OCR and <em>Směrnice pro vydávání starších českých textů </em>by Jiří Daňhelka (https://vokabular.ujc.cas.cz/moduly/edicnipoznamka.aspx?id=DanhelkaSmernice). Abbreviations were tagged and expanded. Ground truth was created specifically by Anna Michalcová (Czech Academy of Sciences, Czech Language Institute, final check of the transcribed text with the use of her model trained on the Cistercian Bible, New York, The Morgan Library & Museum, shelfmark MS M.752, a.michalcova@ujc.cas.cz), Kamil Bazelides (Comenius University in Bratislava, Faculty of Arts, 4r–8v), Jan Hajič (Czech Academy of Sciences, Masaryk Institute and Archives, 194v–199r), Eliška Pěnkavová (the University of South Bohemia in České Budějovice, Faculty of Arts, 199v–204r), Laura Maniaková (Masaryk University in Brno, Faculty of Arts, 204v–209r), Hana Kreisingerová (Czech Academy of Sciences, Czech Language Institute, 227v–229r), Jitka Filipová (Czech Academy of Sciences, Czech Language Institute, 355r–359v), Chi-hung Lu (Eötvös Loránd University, Faculty of Humanities, 366r–370v) and Martina Dvořáková (Moravian library in Brno, 373r–373v). Produced within the HTR Winter School 2022.