cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7302/vqmy-g059
title: Lu-177 DOTATATE Anonymized Patient Datasets: Pre-therapy Diagnostic Images

description: This publication contains anonymized diagnostic imaging scans of two patients.  The images provided are pre-therapy scans used by clinicians for diagnosis and for selecting patients for treatment with Lu-177 DOTATATE.  Multiple imaging modalities are present including diagnostic CT, MRI, and Ga68 PET, depending on the selected patient.  All images are in DICOM format.
description: Diagnostic imaging scans were acquired under standard clinical protocols and correspond to Lu-177 patients who have consented to be on dosimetric research trials in our clinics.  All patient private information is anonymized using commercial software.
DOI: 10.6084/m9.figshare.23600271
title: <strong>YouNDigital PRISMA database </strong>

description: YouNDigital – Young People, News and Digital Citizenship (PTDC/COM-OUT/0243/2021) is a research project based at Lusófona University, CICANT, that aims to understand the connection between young people and news, within the framework of digital citizenship dynamics. Its focus is on interests, needs and socialization processes for news consumption, whether with family, school and peer groups, among others. Funded by the Foundation for Science and Technology (FCT), YouNDigital aims to understand these dynamics by considering the diversity of people and life contexts. In line with the 2030 Agenda, one of the main challenges for YouNDigital is the study of the relationship between gender and news. Anchored in a participatory action-research approach, YouNDigital has three structuring axes: a) Knowledge and identification of trends and gaps in literature since the beginning of the millennium and with a focus on the last 10 years – a period that allows framing and contextualizing the profound digitization of society and social dynamics. b) Robust field work with the aim of deepening how young citizens consume and produce digitally in terms of information by carrying out: i) online questionnaire; ii) semi-structured and diary interviews. c) Creation of a digital newsroom (in Portuguese, English and Spanish) and production of two courses aimed at young people, educators, journalists and decision-makers. The objective is to promote the transfer of scientific knowledge through a perspective of sustainable education and the societal impact on the national and international community.
DOI: 10.34740/kaggle/dsv/6076732
title: AutoXGB
DOI: 10.20372/eiar-rdm/tz1lwx/sply3n
title: Barley-2020.tab

description: :unav
DOI: 10.20372/eiar-rdm/tz1lwx
title: Barley

description: Highland part
DOI: 10.5258/soton/d2298
title: Dataset in support of the journal article 'Phase inverted co-polymer membrane for the enhancement of textile supercapacitors'

description: xlsx files in support of the article Phase inverted co-polymer membrane for the enhancement of textile supercapacitors' published in the journal Polymers
DOI: 10.3886/e192502
title: Mock consultation on intangible impacts

description: Results of a survey mimickingan EU public consultation ran in Belgium, Germany and Romania, to elicit the importance of various tangible and intangible impacts for the respondents.
DOI: 10.3886/e192502v1
title: Mock consultation on intangible impacts

description: Results of a survey mimickingan EU public consultation ran in Belgium, Germany and Romania, to elicit the importance of various tangible and intangible impacts for the respondents.
DOI: 10.6084/m9.figshare.22732190
title: The dataset for the research synthesis of systematic literature reviews in software engineering

description: This dataset is used as a first step in understanding when an SLR in Software Engineering should be<br> conducted. A description of the data is provided in the READMe file.
DOI: 10.6084/m9.figshare.22732190.v8
title: The dataset for the research synthesis of systematic literature reviews in software engineering

description: This dataset is used as a first step in understanding when an SLR in Software Engineering should be<br> conducted. A description of the data is provided in the READMe file.
DOI: 10.6084/m9.figshare.22732190.v7
title: The dataset for the research synthesis of systematic literature reviews in software engineering

description: This dataset is used as a first step in understanding when an SLR in Software Engineering should be<br> conducted. A description of the data is provided in the READMe file.
DOI: 10.20372/eiar-rdm/y24ok7/u0ilaz
title: Garlic data.tab

description: :unav
DOI: 10.20372/eiar-rdm/y24ok7
title: Garlic evaluation for vermicompost

description: Garlic response to vermicompost at Holeta, Wolmera
DOI: 10.5258/soton/d2306
title: Dataset in support of the journal article 'Stable optical frequency comb distribution enabled by hollow-core fibers'

description: Uploaded Archive (ZIP) includes 10 data files that are Excel format (.xlsx) The figures are as follows: Fig. 4: Fig.4_chromatic dispersion.xlxs Chromatic dispersion of the HCF and SMF measured over the C+L bands. Fig. 5b: Fig.5.b_fiber path delay.xlsx Fiber path delay change of 7.7 km HCF and 7.5 km of SMF over time when subject to a periodic room temperature variation of 2.25 K. Fig.6: Fig.6_optical spectrum.xlsx 20-dBm OFC optical spectrum transmitted through 7.7 km of HCF and 7.5 km of SMF. 15-dBm OFC transmitted through SMF. Fig. 8: Fig.8a_phase noise.xlsx Measured phase noise of 40th harmonic (10 GHz) of the fundamental frequency spacing at the user end. Fig.8b_allan deviation.xlsx Measured fractional frequency stability of 40th harmonic (10 GHz) of the fundamental frequency spacing at the user end. Fig. 9: Fig.9a_phase noise.xlsx Measured phase noise of 1555-1557 nm optical mode at the user end. Fig.9b_allan deviation.xlsx Measured fractional frequency stability of 1555-1557 nm optical mode at the user end. Fig. 11: Fig.11a_fiber path delay.xlsx Fiber path delay time change of 7.7 km HCF and 7.5 km of SMF with the temperature change of 1.85 K. Fig.11b_allan deviation.xlsx Comparison of the frequency stability of 40th harmonic (10 GHz microwave signal) of the fundamental frequency spacing as affected by the chromatic dispersion thermal sensitivity of HCF and SMF for various levels of BW. Fig. 12: Fig.12_allan deviation.xlsx Comparison of the optical frequency stability of HCF and SMF for various levels of BW.
DOI: 10.6084/m9.figshare.23618853
title: Croatian Voters and the Eurozone 2021 Survey Data

description: This dataset was created as part of the “Integration and Disintegration of the European Union: Dynamics of Europeanism and Euroscepticism” project supported by the Croatian Science Foundation under Grant UIP-2019-04-2979. <br> This dataset was derived from a national field survey conducted in the fall of 2021 in Croatia. The survey coveres voter behavior regarding European integration, European politics, as well as a range of socio-economic control variables.
DOI: 10.5281/zenodo.7187571
title: White Hole Observation experiment

description: This set of data is the results from the white hole observation series in parallel to the multispectral data analysis. The <strong>12 - M87 Experiment</strong> with quantum deflection effect have not yet been thoroughly studied nor analyzed.
DOI: 10.5281/zenodo.7187570
title: White Hole Observation experiment

description: This set of data is the results from the white hole observation series in parallel to the multispectral data analysis. The <strong>12 - M87 Experiment</strong> with quantum deflection effect have not yet been thoroughly studied nor analyzed.
DOI: 10.5281/zenodo.7115842
title: Revisiting the Milky Way — White Hole Binary with Energy Backlash and White Hole Seed Signature

description: The observation made on Sep 25, 2022 on Harvard-Smithsonian MicroObservatory detected a white hole binary with white hole seed signatures in the collision momentum. A wide area of tree-shaped energy backlash were detected due to the high energy phenomenon with the angular momentum of the observation. The scattering of miniature black holes and miniature white holes was the main composition of the observation data, and contributed to the overall interference patterns in the observational result. The cluster formation in the observation mainly originated from between 948 and 999 Kelvins, and the energy backlash to the lower thermodynamic regime. The resonance signatures on the star systems above ~1360 Kelvins were observed, with lower surface threshold located between 1143 and 1263 Kelvins. The observation is consistent with the observation made on the Ring Nebula M57 on Jun 12, 2022, with silhouettes of the white hole seed and black hole seed collision momentum between 0 and 73.7 Kelvins. The observations confirmed the geodesics of ring singularity of black hole studies to be the collision momenta of black hole and white hole seeds.
description: {"references": ["Volonteri, M., Lodato G., and Natarajan, P. (2007).\tThe evolution of massive black hole seeds. Monthly Notices of the Royal Astronomical Society, 383(3): 1079--1088. https://doi.org/10.1111/j.1365-2966.2007.12589.x", "Pachankis, Y. I. (2021). Research on the Kerr-Newman Black Hole in M82 Confirms Black Hole and White Hole Thermonuclear Binding. Academia Letters. https://doi.org/10.20935/AL3199"]}
DOI: 10.5281/zenodo.7115841
title: Revisiting the Milky Way — White Hole Binary with Energy Backlash and White Hole Seed Signature

description: The observation made on Sep 25, 2022 on Harvard-Smithsonian MicroObservatory detected a white hole binary with white hole seed signatures in the collision momentum. A wide area of tree-shaped energy backlash were detected due to the high energy phenomenon with the angular momentum of the observation. The scattering of miniature black holes and miniature white holes was the main composition of the observation data, and contributed to the overall interference patterns in the observational result. The cluster formation in the observation mainly originated from between 948 and 999 Kelvins, and the energy backlash to the lower thermodynamic regime. The resonance signatures on the star systems above ~1360 Kelvins were observed, with lower surface threshold located between 1143 and 1263 Kelvins. The observation is consistent with the observation made on the Ring Nebula M57 on Jun 12, 2022, with silhouettes of the white hole seed and black hole seed collision momentum between 0 and 73.7 Kelvins. The observations confirmed the geodesics of ring singularity of black hole studies to be the collision momenta of black hole and white hole seeds.
description: {"references": ["Volonteri, M., Lodato G., and Natarajan, P. (2007).\tThe evolution of massive black hole seeds. Monthly Notices of the Royal Astronomical Society, 383(3): 1079--1088. https://doi.org/10.1111/j.1365-2966.2007.12589.x", "Pachankis, Y. I. (2021). Research on the Kerr-Newman Black Hole in M82 Confirms Black Hole and White Hole Thermonuclear Binding. Academia Letters. https://doi.org/10.20935/AL3199"]}
DOI: 10.5519/qd.2xwx40us
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6668133
title: Thermal Burst on the Ring Nebula M57

description: The observation on Ring Nebula (M57) mainly studied its circumnuclear structure. The signal noise process is identified to be in the range of 8.2 - 36.9 K. The thermonuclear reaction caused a globular shockwave in the observation, and similar structure of black & white hole seed collision is observed as the ring (singularity). However, even with the polarized ring, exotic metal-insulator creation is not expected without the black hole being charged. With the circumnuclear spin of the ring, the black hole type therein is identified as a Kerr. The thermal process of reionization from around -10 K to positive temperature with eruption noises suggest minor collision could have occurred around the temperature of 0 K. The effect of the ring from the eruption is implies that lower temperatures persist in the undetected region of the structure.
DOI: 10.5281/zenodo.6668071
title: Thermal Burst on the Ring Nebula M57

description: The observation on Ring Nebula (M57) mainly studied its circumnuclear structure. The signal noise process is identified to be in the range of 8.2 - 36.9 K. The thermonuclear reaction caused a globular shockwave in the observation, and similar structure of black & white hole seed collision is observed as the ring (singularity). However, even with the polarized ring, exotic metal-insulator creation is not expected without the black hole being charged. With the circumnuclear spin of the ring, the black hole type therein is identified as a Kerr. The thermal process of reionization from around -10 K to positive temperature with eruption noises suggest minor collision could have occurred around the temperature of 0 K. The effect of the ring from the eruption is implies that lower temperatures persist in the undetected region of the structure.
DOI: 10.5281/zenodo.6683799
title: Black Hole on Carina Nebula

description: The observation was made during the 2022 NASA Data Challenge. The black hole was observed on Carina Nebula and the radiation activity was processed.
DOI: 10.5281/zenodo.6683800
title: Black Hole on Carina Nebula

description: The observation was made during the 2022 NASA Data Challenge. The black hole was observed on Carina Nebula and the radiation activity was processed.
DOI: 10.5281/zenodo.6990533
title: VirgoA M87 Heat Transfer

description: The research continued from the white hole observation experiment with data analysis. The math- ematical method derived before the observation is supplemented with the heat transfer method. The research took an empirical boundary approach on heat flux for the heat transfer between a black hole and white hole, without considering the Big Bang theory. The heat transfer in the system material boundary is seen as a gravitational indicator from asymptotic decay. Albeit the numerical results are instrumentation specific, the conceptualization of the method can be applied to other data imaging apparatus. However, this method is material dependent, and the estimation of the imaginary time di- mension depends on the chemical components of incident light and detection plate. It puts the cosmic microwave background to the account of instrumentation noise, and conceptualized cosmic background radiation for asymptotic safety. The convergence and divergence can be further corrected by different bias factors.
DOI: 10.5281/zenodo.6990532
title: VirgoA M87 Heat Transfer

description: The research continued from the white hole observation experiment with data analysis. The math- ematical method derived before the observation is supplemented with the heat transfer method. The research took an empirical boundary approach on heat flux for the heat transfer between a black hole and white hole, without considering the Big Bang theory. The heat transfer in the system material boundary is seen as a gravitational indicator from asymptotic decay. Albeit the numerical results are instrumentation specific, the conceptualization of the method can be applied to other data imaging apparatus. However, this method is material dependent, and the estimation of the imaginary time di- mension depends on the chemical components of incident light and detection plate. It puts the cosmic microwave background to the account of instrumentation noise, and conceptualized cosmic background radiation for asymptotic safety. The convergence and divergence can be further corrected by different bias factors.
DOI: 10.6084/m9.figshare.22138331
title: The characteristics of the Yangtze flooding during 1998 and 2020 based on atmospheric water tracing

description: These data are simulated results from the CAM5.1 model with the the Eulerian atmospheric water tracer method.
DOI: 10.6084/m9.figshare.22138331.v2
title: The characteristics of the Yangtze flooding during 1998 and 2020 based on atmospheric water tracing

description: These data are simulated results from the CAM5.1 model with the the Eulerian atmospheric water tracer method.
DOI: 10.6084/m9.figshare.22138331.v3
title: The characteristics of the Yangtze flooding during 1998 and 2020 based on atmospheric water tracing

description: These data are simulated results from the CAM5.1 model with the the Eulerian atmospheric water tracer method.
DOI: 10.5281/zenodo.6426887
title: White Hole on the Trifid Nebula

description: This is the complete data series on the white hole observation experiment. It immediately followed the multiple-slit experiment and went parallel to the authoring processes. The observation got the same results with the multiple-slit experiment on the thermonuclear structures on NGC 3034 with exotic metal-insulator. The compact type of the white hole is Kerr-Newman black hole. The data consists of high-frequency shift, and the video may cause uncomfortable visual experiences. The warm dark matter as exotic thermal resister is key to the data noise. The below absolute zero environment is thus presupposed in all white holes, as a conclusion for both the observation experiment and space telescope data research.
DOI: 10.5281/zenodo.4925436
title: White Hole on the Trifid Nebula

description: This is the complete data series on the white hole observation experiment. It immediately followed the multiple-slit experiment and went parallel to the authoring processes. The observation got the same results with the multiple-slit experiment on the thermonuclear structures on NGC 3034 with exotic metal-insulator. The compact type of the white hole is Kerr-Newman black hole. The data consists of high-frequency shift, and the video may cause uncomfortable visual experiences. The warm dark matter as exotic thermal resister is key to the data noise. The below absolute zero environment is thus presupposed in all white holes, as a conclusion for both the observation experiment and space telescope data research.
DOI: 10.15151/esrf-dc-1274141182
title: Multi-Bragg CDI measurements of the core-shell volume transition in a Ni3Fe nanoparticle

description: The structural evolution of a single 350 nm Ni3Fe nanoparticle (morphology, deformation field) has been followed by applying multi-Bragg CDI. It was possible to observe a volume transition inside the particle at 600C.
DOI: 10.6084/m9.figshare.23622981
title: Data Set S1 for the paper titled "Could the expanded desert increase dust supply for loess?"

description: The dataset consists of the detrizal zircon U-Pb data for different layers of the Minle Loess Section, a last deglaciation-Holocene loess section in the NE Tibetan Plateau, and the U-Pb data of the fluvial sediments of two rivers near the Minle Loess Section.
DOI: 10.6084/m9.figshare.23622981.v1
title: Data Set S1 for the paper titled "Could the expanded desert increase dust supply for loess?"

description: The dataset consists of the detrizal zircon U-Pb data for different layers of the Minle Loess Section, a last deglaciation-Holocene loess section in the NE Tibetan Plateau, and the U-Pb data of the fluvial sediments of two rivers near the Minle Loess Section.
DOI: 10.26050/wdcc/coastdatstormtides1825v2
title: coastDat historical severe storm tides in the German Bight Year 1825 (Version 2)

description: Project: coastDat Storm Tides (German Coast) - The idea of coastDat (coastdat.de) is to use numerical model-systems to simulate the meteo-marine environment in data sparse regions. For example, the design water level of coastal protection is based, among others, on past observations from gauges. For historical severe storm tides ensemble calculations are done. Summary: Method description see https://doi.org/10.26050/WDCC/CoastdatStormTides In Version 2 the e (sea_surface_height_above_sea_level variable is corrected for the year 1825. u10 (x_wind), v10 (y_wind) variables correspond to the old version.
DOI: 10.11588/data/c56quv/vdtv5o
title: modeling_t5.py

description: :unav
DOI: 10.11588/data/c56quv/mwbrxz
title: modeling_ctrl.py

description: :unav
DOI: 10.11588/data/c56quv/fr89u3
title: compute_conceptnet_novelty.py

description: :unav
DOI: 10.11588/data/c56quv/yhxluz
title: tokenization_ctrl.py

description: :unav
DOI: 10.11588/data/c56quv/bxydyb
title: evaluator.py

description: :unav
DOI: 10.11588/data/c56quv/150w1z
title: conceptnet_evaluate.py

description: :unav
DOI: 10.11588/data/c56quv/krz86z
title: results_mhka.png

description: :unav
DOI: 10.11588/data/c56quv/bmim0b
title: optimization.py

description: :unav
DOI: 10.11588/data/c56quv/x5e8v5
title: test.csv

description: :unav
DOI: 10.11588/data/c56quv/mw7q56
title: extract_path.py

description: :unav
DOI: 10.11588/data/c56quv/xbpycm
title: models.py

description: :unav
DOI: 10.11588/data/c56quv/8psmiv
title: atomic_train.py

description: :unav
DOI: 10.11588/data/c56quv/qbwv9n
title: train.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/wvx5q6
title: atomic_generate.py

description: :unav
DOI: 10.11588/data/c56quv/m50qwg
title: convert_conceptnet_generations_to_text.py

description: :unav
DOI: 10.11588/data/c56quv/3fnstq
title: opt.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/kgakx4
title: batch.cpython-36.pyc

description: :unav
DOI: 10.11588/data/c56quv/5xhv36
title: Readme.md

description: :unav
DOI: 10.11588/data/c56quv/xxeqxc
title: modeling_transfo_xl.py

description: :unav
DOI: 10.11588/data/c56quv/vkti63
title: generate.py

description: :unav
DOI: 10.11588/data/c56quv/cqda37
title: utils.py

description: :unav
DOI: 10.11588/data/c56quv/fcv9o7
title: sampler.py

description: :unav
DOI: 10.11588/data/c56quv/hdhu8g
title: utils.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/zmsfg3
title: configuration_openai.cpython-38.pyc

description: :unav
DOI: 10.11588/data/c56quv/alw5lq
title: atomic_train.py

description: :unav
DOI: 10.11588/data/c56quv/0griba
title: Readme.md

description: :unav
DOI: 10.11588/data/c56quv/m9yxzd
title: generate_atomic_beam_search.py

description: :unav
DOI: 10.11588/data/c56quv/kq1kr4
title: convert_xlnet_original_tf_checkpoint_to_pytorch.py

description: :unav
DOI: 10.11588/data/c56quv/g9wihf
title: conceptnet_train.cpython-36.pyc

description: :unav
DOI: 10.11588/data/c56quv/mqe9ty
title: Readme.md

description: :unav
DOI: 10.11588/data/c56quv/rznzkq
title: atomic_evaluate.cpython-36.pyc

description: :unav
DOI: 10.11588/data/c56quv/ofykrp
title: classify_conceptnet_generations.py

description: :unav
DOI: 10.11588/data/c56quv/dmvgnr
title: configuration_openai.py

description: :unav
DOI: 10.11588/data/c56quv/1ssbt5
title: tokenization_openai.py

description: :unav
DOI: 10.11588/data/c56quv/whdysh
title: Readme.md

description: :unav
DOI: 10.11588/data/c56quv/shf0z4
title: modeling_tf_ctrl.py

description: :unav
DOI: 10.11588/data/c56quv/vmvzos
title: pipelines.py

description: :unav
DOI: 10.11588/data/c56quv/zqlcqi
title: sampler.cpython-38.pyc

description: :unav
DOI: 10.11588/data/c56quv/s3tkfs
title: modeling_gpt2.py

description: :unav
DOI: 10.11588/data/c56quv/mqipox
title: generate.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/efawug
title: generate.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/lbel54
title: default.json

description: :unav
DOI: 10.11588/data/c56quv/zasnkz
title: modeling_mmbt.py

description: :unav
DOI: 10.11588/data/c56quv/3thzzs
title: main.py

description: :unav
DOI: 10.11588/data/c56quv/irfzbl
title: configuration_utils.cpython-38.pyc

description: :unav
DOI: 10.11588/data/c56quv/1eoff9
title: modeling_utils.cpython-38.pyc

description: :unav
DOI: 10.11588/data/c56quv/26hjkl
title: test-labels.lst

description: :unav
DOI: 10.11588/data/c56quv/zu45r5
title: modeling_albert.py

description: :unav
DOI: 10.11588/data/c56quv/bo0te9
title: run_neural.sh

description: :unav
DOI: 10.11588/data/c56quv/hzscsw
title: evaluate.cpython-38.pyc

description: :unav
DOI: 10.11588/data/c56quv/te5yr3
title: evaluate.cpython-35.pyc

description: :unav
DOI: 10.11588/data/c56quv/flclmd
title: gpt.cpython-36.pyc

description: :unav
DOI: 10.11588/data/c56quv/osqt6r
title: conceptnet_single_example.py

description: :unav
DOI: 10.11588/data/c56quv/jradnu
title: opt_knowledge.py

description: :unav
DOI: 10.11588/data/c56quv/p6eow4
title: utils.cpython-38.pyc

description: :unav