cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21335/nmdc-675177809-kvit7
title: CTD data from Nansen Legacy Cruise - JC3 Winter gaps cruise Station: Kvit7

description: The Nansen Legacy JC3 cruise (19.02.-11.03.2022) aimed to fill gaps after the earlier NL cruises, in particular during the winter-to-spring transition and in the northern part of the NL transect to the Nansen Basin. Joint physical, chemical, and biological sampling and experiments for new technology addressed aims of RF1, RF2, RF3 and RA-C. Sampling started in the Atlantic domain with a process station at P1. Afterwards, the cruise focused on the northern Barents Sea around and north of Kvit?ya covering process stations at P5, P7 and between Nord Austlandet and Kvit?ya. They lasted from 29 to 68 hours to enable observation of at least one daily cycle in the under-ice water layer. Ice conditions varied but consisted mostly of extensive but thin first-year ice, often as small floes that were frozen together. In the northernmost region, the floes were larger, but the ice remained thin. Despite a fair amount of daylight available, the biological sampling seemed to indicate that the ecosystem was still in winter mode. In addition to the process stations, the northern part of the NL transect was covered from the shelf north of Kvit?ya into the deeper Nansen Basin. This included mainly hydrographic measurements and chemical sampling along the entire transect, biological sampling at P6, and benthic sampling at selected depths from shelf over slope to deep. In the entire region, warm Atlantic water was prominent and close to the surface, potentially explaining the lack of thick sea ice and late ice formation. Before and after the main cruise program, several gliders were recovered. One mooring was pinged but could not be located. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-675177809). The values have not be changed.
DOI: 10.21335/nmdc-675177809-sice_kvitoyrenna
title: CTD data from Nansen Legacy Cruise - JC3 Winter gaps cruise Station: SIce_Kvitøyrenna

description: The Nansen Legacy JC3 cruise (19.02.-11.03.2022) aimed to fill gaps after the earlier NL cruises, in particular during the winter-to-spring transition and in the northern part of the NL transect to the Nansen Basin. Joint physical, chemical, and biological sampling and experiments for new technology addressed aims of RF1, RF2, RF3 and RA-C. Sampling started in the Atlantic domain with a process station at P1. Afterwards, the cruise focused on the northern Barents Sea around and north of Kvit?ya covering process stations at P5, P7 and between Nord Austlandet and Kvit?ya. They lasted from 29 to 68 hours to enable observation of at least one daily cycle in the under-ice water layer. Ice conditions varied but consisted mostly of extensive but thin first-year ice, often as small floes that were frozen together. In the northernmost region, the floes were larger, but the ice remained thin. Despite a fair amount of daylight available, the biological sampling seemed to indicate that the ecosystem was still in winter mode. In addition to the process stations, the northern part of the NL transect was covered from the shelf north of Kvit?ya into the deeper Nansen Basin. This included mainly hydrographic measurements and chemical sampling along the entire transect, biological sampling at P6, and benthic sampling at selected depths from shelf over slope to deep. In the entire region, warm Atlantic water was prominent and close to the surface, potentially explaining the lack of thick sea ice and late ice formation. Before and after the main cruise program, several gliders were recovered. One mooring was pinged but could not be located. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-675177809). The values have not be changed.
DOI: 10.21335/nmdc-675177809-28
title: CTD data from Nansen Legacy Cruise - JC3 Winter gaps cruise Station: 28

description: The Nansen Legacy JC3 cruise (19.02.-11.03.2022) aimed to fill gaps after the earlier NL cruises, in particular during the winter-to-spring transition and in the northern part of the NL transect to the Nansen Basin. Joint physical, chemical, and biological sampling and experiments for new technology addressed aims of RF1, RF2, RF3 and RA-C. Sampling started in the Atlantic domain with a process station at P1. Afterwards, the cruise focused on the northern Barents Sea around and north of Kvit?ya covering process stations at P5, P7 and between Nord Austlandet and Kvit?ya. They lasted from 29 to 68 hours to enable observation of at least one daily cycle in the under-ice water layer. Ice conditions varied but consisted mostly of extensive but thin first-year ice, often as small floes that were frozen together. In the northernmost region, the floes were larger, but the ice remained thin. Despite a fair amount of daylight available, the biological sampling seemed to indicate that the ecosystem was still in winter mode. In addition to the process stations, the northern part of the NL transect was covered from the shelf north of Kvit?ya into the deeper Nansen Basin. This included mainly hydrographic measurements and chemical sampling along the entire transect, biological sampling at P6, and benthic sampling at selected depths from shelf over slope to deep. In the entire region, warm Atlantic water was prominent and close to the surface, potentially explaining the lack of thick sea ice and late ice formation. Before and after the main cruise program, several gliders were recovered. One mooring was pinged but could not be located. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-675177809). The values have not be changed.
DOI: 10.21335/nmdc-675177809-extra
title: CTD data from Nansen Legacy Cruise - JC3 Winter gaps cruise Station: extra

description: The Nansen Legacy JC3 cruise (19.02.-11.03.2022) aimed to fill gaps after the earlier NL cruises, in particular during the winter-to-spring transition and in the northern part of the NL transect to the Nansen Basin. Joint physical, chemical, and biological sampling and experiments for new technology addressed aims of RF1, RF2, RF3 and RA-C. Sampling started in the Atlantic domain with a process station at P1. Afterwards, the cruise focused on the northern Barents Sea around and north of Kvit?ya covering process stations at P5, P7 and between Nord Austlandet and Kvit?ya. They lasted from 29 to 68 hours to enable observation of at least one daily cycle in the under-ice water layer. Ice conditions varied but consisted mostly of extensive but thin first-year ice, often as small floes that were frozen together. In the northernmost region, the floes were larger, but the ice remained thin. Despite a fair amount of daylight available, the biological sampling seemed to indicate that the ecosystem was still in winter mode. In addition to the process stations, the northern part of the NL transect was covered from the shelf north of Kvit?ya into the deeper Nansen Basin. This included mainly hydrographic measurements and chemical sampling along the entire transect, biological sampling at P6, and benthic sampling at selected depths from shelf over slope to deep. In the entire region, warm Atlantic water was prominent and close to the surface, potentially explaining the lack of thick sea ice and late ice formation. Before and after the main cruise program, several gliders were recovered. One mooring was pinged but could not be located. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-675177809). The values have not be changed.
DOI: 10.21415/t5fs5x
title: CHILDES Croatian Kovacevic Corpus
DOI: 10.4121/14540823
title: Matlab code and dataset for light scattering by gold NPs in fused silica

description: The light scattering by 1 nm - 400 nm gold NPs are generated in the dataset. The refractive indices, the cross-sections, etc. of gold NPs in the size range are in this dataset.
DOI: 10.5281/zenodo.4557180
title: European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2018/2019

description: All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2019: - Campylobacter - E. coli - MRSA - Salmonella - ESBL Annexes A to H are also included.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.5847462
title: Processed data for KP-Tracer Tumors from study "Lineage Recording Reveals the Phylodynamics, Plasticity and Paths of Tumor Evolution"

description: This repository contains processed data associated with the manuscript "Lineage Recording Reveals the Phylodynamics, Plasticity, and Paths of Tumor Evolution" (Yang*, Jones*, et al <em>bioRxiv</em> 2021). In this study, single-cell lineage tracing was performed in the <em>KP</em> autochthonous mouse model of non-small-cell lung cancer. Tumors were initiated with <em>Cre</em> recombinase (and optionally an additional gRNA targeting the other well-studied tumor suppressors) and allowed to grow for approximately 4-6 months at which point mice were sacrificed and tumors harvested. After purifying cancer cells by fluorescent markers, cells were profiled with the 10X chromium platform and four libraries were collected: a single-cell transcriptome library, a single-cell lineage tracing library, a single-cell multiplexing library, and a single-cell lenti-barcode library (used for confirming the clonality of tumors). Data was processed using the 10X Cellranger suite and custom pipelines as described in the manuscript above. Data here represents the derived processed data from our analysis. The specific contents are described in a README contained within the repository. Briefly, however, we have provided here processed AnnData objects for the KP data (sgNT) and the integrated data across three genotypes (KP, KPA, and KPL). We also provide the gene lists associated with fitness, expansion annotations for each tree, as well as plasticity scores amongst other items. For code used in this study, we additionally have provided a reproducibility repository at https://github.com/mattjones315/KPTracer-release.
DOI: 10.5281/zenodo.6394982
title: Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments

description: These are the data and code to go with "<strong>Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments</strong>" <strong>Figure 01 takes the following data/scripts:</strong> 20210610_Thally02_Figure01_plot_and_stats.R with track_keeper.csv and corr_Response growth .csv . These files contain growth rates per transfers for all selection environments throughout the experiment and growth rates in correlated environments during reciprocal transplants, respectively. <strong>Figure 02 takes the following data/scripts:</strong> 20210610_Thally02_Figure02_plot_and_stats.R with 20161120_res_logis_t000.csv and 20161123_resloglint300.csv . These files contain the output of the shapes of the growth curves (i.e. information on lag time , growth at µmax, K etc) for all samples in all selection environments at t0 and t300, respectively <strong>The remaining figures - position not clear at time of submission - take the following data/script. </strong> For plasticity in FRRF data, the script 20181204_FRRF_plasticity.R takes the FRRF raw data contained in allfvfmdata_thally_t300_t000.csv . Extracted parameters are in files CvaluesThally02.csv, psiPSI_slope_intercept.csv, and rP_extracted_values.csv and can be analysed using the R script extracted parameter plots.R . R script FRRF visualisation only .R is for visualisation only, as the title suggests. For comparing plasticity/growth , the data are in 20170327_giantbigtable.csv , and can be visualised/analysed in plast vs growth.R In order to recreate the AMOVAS based on SNVs, use all_variants_fixed-only_using_5x_depth_threshold.cvs with amova thally02.R For additional information, please contact elisa.schaum@uni-hamburg.de
DOI: 10.5281/zenodo.6418692
title: (dataset) Interactions of irradiation defects with nitrogen in α-Fe: an integrated experimental and theoretical study

description: This dataset contains data , simulations and plot scripts in support of the manuscript "<em>Interactions of irradiation defects with nitrogen in \(\alpha\)-Fe: an integrated experimental and theoretical study</em>"
DOI: 10.5281/zenodo.6795124
title: Cell-ACDC: segmentation, tracking, annotation and quantification of microscopy imaging data (dataset)

description: This repository includes all the data generated or analysed during the preparation of Cell-ACDC publication, including test datasets for testing the software. Cell-ACDC is open-source software available on GitHub here.
description: This work was supported by the DFG through project 416098229, by the Human Frontier Science Program (career development award to KMS), by the Helmholtz Association, and by the Free State of Bavaria's AI for Therapy (AI4T) Initiative through the Institute of AI for Drug Discovery (AID).
DOI: 10.6084/m9.figshare.19579003.v1
title: Abundance and occupancy data for intertidal algae and invertebrates

description: This dataset describes abundance and occupancy data of intertidal algae and invertebrates from the Atlantic coast of Nova Scotia.
DOI: 10.15128/r10r967374q
title: Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set

description: In this work we explore different Convolutional Neural Network (CNN) architectures and their variants for non-temporal binary fire detection and localization in video or still imagery. We consider the performance of experimentally defined, reduced complexity deep CNN architectures for this task and evaluate the effects of different optimization and normalization techniques applied to different CNN architectures (spanning the Inception, ResNet and EfficientNet architectural concepts). Contrary to contemporary trends in the field, our work illustrates a maximum overall accuracy of 0.96 for full frame binary fire detection and 0.94 for superpixel localization using an experimentally defined reduced CNN architecture based on the concept of InceptionV4. We notably achieve a lower false positive rate of 0.06 compared to prior work in the field presenting an efficient, robust and real-time solution for fire region detection. | Cited in: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection (G. Samarth, N. Bhowmik, T.P. Breckon), In Proc. Int. Conf. on Machine Learning Applications, IEEE, 2019. | This file contains supporting materials in the form of the superpixel images used to train the neural network models.
DOI: 10.5281/zenodo.6849090
title: Suggestions for changes to the IHC key concepts 2018 - 2022

description: Suggestions for improvements to the 2018 and 2019 versions of the Informed Health Choices Key Concepts and responses.
DOI: 10.5066/f7bv7dng
title: California Basin Characterization Model: A Dataset of Historical and Future Hydrologic Response to Climate Change
DOI: 10.5066/f7cn724v
title: Estimated county level domestic well population with arsenic greater than 10 micrograms per liter based on probability estimates for the conterminous U.S.

description: Arsenic concentrations from 20,450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic &gt; 10 g/L (high arsenic). We use only domestic well arsenic data and a national-scale modeling approach. This approach expands our understanding of potential exposure to arsenic in drinking water to a national scale and allows inter-regional comparisons. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. census block groups, the mean probability of arsenic &gt; 10 g/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well population. Approximately 44.1 M people in the U.S. use water from domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted arsenic concentration &gt; 10 g/L is 2.1 M people (95% CI is 1.5 to 2.9 M). Although areas of the U.S. were underrepresented with arsenic data, predictive variables available in national datasets can help estimate high arsenic in unsampled areas. However, linking predictive modeling to private well use information nationally, despite the uncertainty, is potentially beneficial for broad screening of the population at risk to elevated arsenic in drinking water from private wells.
DOI: 10.5281/zenodo.4630684
title: California improved forest management offset project database

description: This archive includes a database of California improved forest management (IFM) offset projects. The database was created by manually transcribing the "offset project data reports" (OPDRs). The full database includes: 1) the digitized project records in CSV and JSON format, 2) ancillary files such as the offsets issuance table, 3) project specific files used to create the digitized database, 4) a glossary.
DOI: 10.5281/zenodo.6806648
title: Broadband local field potential in area MT of marmoset monkey

description: Broadband local field potential (0.1-500 Hz) in area MT of marmoset monkey.
description: {"references": ["Liu, Y., Long, X., Martin, P.R. et al. L\u00e9vy walk dynamics explain gamma burst patterns in primate cerebral cortex. Commun Biol 4, 739 (2021). https://doi.org/10.1038/s42003-021-02256-1"]}
DOI: 10.5286/isis.e.rb1910266
title: Muon spin relaxation study of the single crystals of rare-earth chalcogenides AReCh2 - candidates of quantum spin liquid

description: Exploring the exotic quantum phenomena and the related ground state of the frustrated quantum magnets has emerged as a forefront area of condensed matter physics. These behaviors have been recognized to be related to the interplays of charge, spin, orbital, and lattice, which could lead to several intriguing phenomena. AReCh2 has a triangular lattice and no well-defined long-range magnetic order is observed in the single crystal form, which suggests the system as a potential candidate of quantum spin liquids. Therefore, further measurements are required to verify this conjecture. MuSR is sensitive to very small local magnetic field, and a powerful technique to investigate quantum spin liquid. In this proposal, we would like to use the MUSR (or EMU) spectrometer to measure the magnetic properties of NaYbS2 and NaYbSe2 single crystals.
DOI: 10.5286/isis.e.rb1920313
title: Spin flop in antiferromagnetic CuMnAs

description: CuMnAs has emerged as a testbed system for studying the interaction between spin-orbit coupled charge carriers and antiferromagnetic order, with potential applications in high-frequency memory and logic devices. Here we propose a neutron diffraction study which aims to firmly establish the relationship between the electrical conductivity and the magnetic order in CuMnAs, by using an external magnetic field to reorient the antiferromagnetically coupled spins. Studies of samples with well-characterized magnetic domain structures will shed new light on the spin reorientation processes in this important class of antiferromagnetic materials.
DOI: 10.6084/m9.figshare.19665558.v1
title: molecule assembly

description: For a publication on graph-based automated macro-molecular assembly, this dataset provides structure files (xyz, txyz) for the assembled structurers shown in the publication figures and molecular dynamics trajectories for the MD runs mentioned in the publication text. Further details are described in a read-me file bundled with the data.
DOI: 10.6084/m9.figshare.5435953
title: MusicNet

description: MusicNet offers music characterizations. This Data Set contains the results obtained after the analysis of pieces of MIDI music. The analysis was performed by applying the concept of Fundamental Scale: the set of symbols producing the minimal entropy when reading a text consisting of a large sequence of characters. Each piece is characterized by its character-length. The results are presented in terms of symbolic diversity, entropy, and second order entropy. These characterizations of music allow to represent music pieces, composers, styles and periods in a 3-dimensional space with symbolic diversity, entropy, and second order entropy as its axis. The MIDI pieces analyzed for each style of music can be found at these DOIs:Medieval: 10.6084/m9.figshare.5435983Renaissance: 10.6084/m9.figshare.5435992Baroque: 10.6084/m9.figshare.5435995Classical: 10.6084/m9.figshare.5436010Romantic: 10.6084/m9.figshare.5436013Impressionistic: 10.6084/m9.figshare.5436016Twentieth: 10.6084/m9.figshare.5436019Chinese: 10.6084/m9.figshare.5436022Hindu Raga: 10.6084/m9.figshare.5436025Venezuelan: 10.6084/m9.figshare.5436106Rock: 10.6084/m9.figshare.5436031 Movie Themes: 10.6084/m9.figshare.5436034Rock: 10.6084/m9.figshare.5436031 Movie Themes: 10.6084/m9.figshare.5436034
DOI: 10.5281/zenodo.6762715
title: Repository for the paper "Stability of the Jupiter southern polar vortices inspected through vorticity using Juno/JIRAM data"

description: This repository contains all the *img and *lbl files that have been used in the analysis reported in "Stability of the Jupiter southern polar vortices inspected through vorticity using Juno/JIRAM data". Please see the text for details.
DOI: 10.14768/9ba77f68-29a3-4bd6-8966-0900e2316a54
title: Simulations of the HDO cycle on Mars with the upgraded LMD Mars GCM

description: We present here simulations of the HDO cycle on Mars, using an updated version of the LMD Mars GCM. This is a follow-up from Rossi et al. (2021), this time including more physical processes: microphysics of cloud formation, radiatively active clouds, effect of kinetics during fractionnation by condensation. The simulations pertain to the climatology and Martian year 34 dust scenarios. There are different types of files: * yearly files (Ls=0-360 for the climatology dust scenario). Outputs are expressed in terms of altitude above areoid, latitude and longitude, and time (solar longitude). * monthly files (9th martian month, with different model settings), expressed in terms of pressure, latitude and longitude, and time (solar longitude). * GCM outputs colocated to the coordinates of TGO/ACS-MIR observations, in altitude above areoid and time (Ls=180-360 for MY34). * GCM outputs colocated to the coordinates of MRO/MCS observations, in pressure and time (Ls=240-300 for MY34). * Two ACS/MIR datasets, one provided by Anna Fedorova (Fedorova et al. 2020), the other processed by Mikhail Luginin (https://data.mendeley.com/datasets/rkszdmpdcy/1), reinterpolated vertically and stored in a netcdf
DOI: 10.15128/r24f16c287m
title: Terahertz electrometry via infrared spectroscopy of atomic vapor [dataset]

description: In recent years, the characterisation of radiation falling within the so-called ‘terahertz (THz) gap’ has become an ever more prominent issue due to the increasing use of THz systems in applications such as nondestructive testing, security screening, telecommunications and medical diagnostics. THz detection technologies have advanced rapidly, yet traceable calibration of THz radiation remains challenging. In this paper, we demonstrate a system of electrometry in which a THz signal can be characterized using laser spectroscopy of highly excited (Rydberg) atomic states. We report on proof-of-principle measure- ments that reveal a minimum detectable THz electric field amplitude of 1.07±0.06 V/m at 1.06 THz (3 ms detection), corresponding to a THz power at the atomic cell of approximately 3.4 nW. Due to the relative simplicity and cryogen-free nature of this system, it has the potential to provide a route to a SI traceable ‘atomic candle’ for THz calibration across the terahertz frequency range, and provide an alternative to calorimetric methods.
description: Atomic spectroscopy for THz radiation measurement and calibration