cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10837397
title: Hydrologic scenarios of the main Nile tributaries

description: The water supply model considers four main tributaries to the Nile: Blue Nile, White Nile, Dinder-Rahad and Tekeze-Atbara.

Starting from future time series created according to three RCPs scenarios (RCP2.6, RCP4.5 and RCP8.5), a large ensemble of uncertain streamflow is generated by altering the timing and magnitude of extremes (Quinn, J. D., et al. Exploring how changing monsoonal dynamics and human pressures challenge multireservoir management for flood protection, hydropower production, and agricultural water supply. Water Resources Research, 2018, 54.7: 4638-4662). Future streamflows are derived from IPCC 5th assessement’s projections of temperature and precipitation using the HBV model and altered by first fitting the monthly means in a Fourier decomposition and then applying perturbations on amplitudes and phases to strengthen the magnitude of extremes and/or their timing.

For each combination of tributary and RCP, 100 different realizations of the monthly streamflow of a 94-year-long time series are generated.

Data are divided based on tributaries and climatic scenarios. In each file, every row is one of the 100 different realizations of the monthly streamflow time series, while each column contains the monthly streamflow of the river reported in m3/s starting from January 2007 in the first column until December 2100 in the last.
DOI: 10.5281/zenodo.10837398
title: Hydrologic scenarios of the main Nile tributaries

description: The water supply model considers four main tributaries to the Nile: Blue Nile, White Nile, Dinder-Rahad and Tekeze-Atbara.

Starting from future time series created according to three RCPs scenarios (RCP2.6, RCP4.5 and RCP8.5), a large ensemble of uncertain streamflow is generated by altering the timing and magnitude of extremes (Quinn, J. D., et al. Exploring how changing monsoonal dynamics and human pressures challenge multireservoir management for flood protection, hydropower production, and agricultural water supply. Water Resources Research, 2018, 54.7: 4638-4662). Future streamflows are derived from IPCC 5th assessement’s projections of temperature and precipitation using the HBV model and altered by first fitting the monthly means in a Fourier decomposition and then applying perturbations on amplitudes and phases to strengthen the magnitude of extremes and/or their timing.

For each combination of tributary and RCP, 100 different realizations of the monthly streamflow of a 94-year-long time series are generated.

Data are divided based on tributaries and climatic scenarios. In each file, every row is one of the 100 different realizations of the monthly streamflow time series, while each column contains the monthly streamflow of the river reported in m3/s starting from January 2007 in the first column until December 2100 in the last.
DOI: 10.34740/kaggle/dsv/7889480
title: A Dataset of YouTube Spain's Most Popular Songs
DOI: 10.5281/zenodo.10840697
title: lepidarchus_adonis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10840698
title: lepidarchus_adonis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10065303
title: Additional deployments of the ALOHA Wirewalker dataset

description: This dataset is an extension of the ALOHA Wirewalker dataset, available on Zenodo as (https://doi.org/10.5281/zenodo.3750468).
The dataset includes oceanographic observations collected by autonomous drifting profilers. For more information, please refer to the page of the original submission of the ALOHA Wirewalker dataset linked above.
DOI: 10.5281/zenodo.10198487
title: TN412 SCOPE-Gradients-5 cruise, Wirewalker

description: This dataset was collected during the 5th SCOPE-Gradients cruise.  The SCOPE-Gradients program was designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. The Wirewalker is a  wave-powered drifting profiler designed to collect autonomous, vertically-resolved oceanographic observations. The profiler moves along a wire that is suspended between a float at the sea surface and a weight placed at a depth of tens or hundreds of meters. The system horizontal displacement follows the ocean currents. Wirewalker measurements include temperature, salinity, depth, beam attenuation, backscattering, chlorophyll fluorescence, CDOM fluorescence, downwelling irradiance in four spectral bands, and dissolved oxygen concentration.
DOI: 10.5281/zenodo.10840682
title: TN412 SCOPE-Gradients-5 cruise, Wirewalker

description: This dataset was collected during the 5th SCOPE-Gradients cruise.  The SCOPE-Gradients program was designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. The Wirewalker is a  wave-powered drifting profiler designed to collect autonomous, vertically-resolved oceanographic observations. The profiler moves along a wire that is suspended between a float at the sea surface and a weight placed at a depth of tens or hundreds of meters. The system horizontal displacement follows the ocean currents. Wirewalker measurements include temperature, salinity, depth, beam attenuation, backscattering, chlorophyll fluorescence, CDOM fluorescence, downwelling irradiance in four spectral bands, and dissolved oxygen concentration.
DOI: 10.5281/zenodo.10198486
title: TN412 SCOPE-Gradients-5 cruise, Wirewalker

description: This dataset was collected during the 5th SCOPE-Gradients cruise.  The SCOPE-Gradients program was designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. The Wirewalker is a  wave-powered drifting profiler designed to collect autonomous, vertically-resolved oceanographic observations. The profiler moves along a wire that is suspended between a float at the sea surface and a weight placed at a depth of tens or hundreds of meters. The system horizontal displacement follows the ocean currents. Wirewalker measurements include temperature, salinity, depth, beam attenuation, backscattering, chlorophyll fluorescence, CDOM fluorescence, downwelling irradiance in four spectral bands, and dissolved oxygen concentration.
DOI: 10.5281/zenodo.10819671
title: TN412 SCOPE-Gradients-5 cruise, Wirewalker

description: This dataset was collected during the 5th SCOPE-Gradients cruise.  The SCOPE-Gradients program was designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. The Wirewalker is a  wave-powered drifting profiler designed to collect autonomous, vertically-resolved oceanographic observations. The profiler moves along a wire that is suspended between a float at the sea surface and a weight placed at a depth of tens or hundreds of meters. The system horizontal displacement follows the ocean currents. Wirewalker measurements include temperature, salinity, depth, beam attenuation, backscattering, chlorophyll fluorescence, CDOM fluorescence, downwelling irradiance in four spectral bands, and dissolved oxygen concentration.
DOI: 10.5281/zenodo.10840708
title: micralestes_humilis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10840709
title: micralestes_humilis_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25439020
title: The data dictionary of LSAC

description: This is the spreadsheet that contains the description of all variables.
DOI: 10.5517/ccdc.csd.cc2fv8wg
title: CCDC 2259586: Experimental Crystal Structure Determination

description: Related Article: J. Viridiana García-González, José G. Alvarado-Rodríguez, Noemí Andrade-López, Cristian G. Guerra-Poot, Diego Martínez-Otero|2023|Struct.Chem.|35|659|doi:10.1007/s11224-023-02222-z
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fv8xh
title: CCDC 2259587: Experimental Crystal Structure Determination

description: Related Article: J. Viridiana García-González, José G. Alvarado-Rodríguez, Noemí Andrade-López, Cristian G. Guerra-Poot, Diego Martínez-Otero|2023|Struct.Chem.|35|659|doi:10.1007/s11224-023-02222-z
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34658/rdb.zgt4r7/5cvlxv
title: Original Data C14R Composite Hydrogel_IJMS.tab

description: :unav
DOI: 10.5281/zenodo.10835913
title: Low resolution local L-sigma calibration dataset

description: Measurements of the H-alpha luminosity and intrinsic velocity dispersion of 347 H II regions across 9 spiral galaxies. These properties were measured from integral field unit (IFU) spectroscopy taken by the Mulit-Object Spectroscopic Explorer (MUSE) on the Very Large Telescope (VLT). The L-sigma relation calibrated from these data is valid for low spectral (R ~ 3000) and spatial (~500 pc) resolution observations of giant H II regions.
DOI: 10.5281/zenodo.10835914
title: Low resolution local L-sigma calibration dataset

description: Measurements of the H-alpha luminosity and intrinsic velocity dispersion of 347 H II regions across 9 spiral galaxies. These properties were measured from integral field unit (IFU) spectroscopy taken by the Mulit-Object Spectroscopic Explorer (MUSE) on the Very Large Telescope (VLT). The L-sigma relation calibrated from these data is valid for low spectral (R ~ 3000) and spatial (~500 pc) resolution observations of giant H II regions.
DOI: 10.6084/m9.figshare.3761562.v2887
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/ds/4631882
title: A Dataset of YouTube Spain's Most Popular Songs
DOI: 10.6084/m9.figshare.23232350
title: Raw data for <i>Experimental Demonstration of Attosecond Pump–Probe Spectroscopy with an X-ray Free-Electron Laser</i>

description: There are 4 Jupyter notebooks in this folder:Generate_Correlation_Map_for_Delay _Analysis.ipynb: It generates the correlation map used in the delay analysis.Draw_Differential_Map.ipynb: It loads the raw data of streaked images with similar streaking directions and generates an average sorted streaked image. It also draws the differential map between the average sorted streaked image and the average unstreaked image.Draw_Strongly_Streaked_Shots.ipynb: It loads the raw data of some good streaked images. This notebook also plots two shots with different streaking directions.Covariance_Demonstration_of_attosecond_Xray_FEL_pump_probe.ipynb: This is a Jupyter notebook that uses the Run24 file to process the data, perform covariance analysis, and extract the binding energy of a carbon 1s photoelectron feature.
DOI: 10.6084/m9.figshare.23232350.v1
title: Raw data of angular streaking measurement

description: There are 3 Jupyter notebooks in this folder:

  Generate_Correlation_Map_for_Delay _Analysis.ipynb: It generates the correlation map used in the delay analysis.
  Draw_Differential_Map.ipynb: It loads the raw data of streaked images with similar streaking directions and generates an average sorted streaked image. It also draws the differential map between the average sorted streaked image and the average unstreaked image.
  Draw_Strongly_Streaked_Shots.ipynb: It loads the raw data of some good streaked images. This notebook also plots two shots with different streaking directions.
DOI: 10.5281/zenodo.8160490
title: Research data for "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials"

description: This dataset supports the paper: "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials". The paper is online here: https://doi.org/XXXXXXXXXXXXXXXXX.
DOI: 10.5281/zenodo.8160491
title: Research data for "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials"

description: This dataset supports the paper: "Hydrogen under Pressure as a Benchmark for Machine-Learning Potentials". The paper is online here: https://doi.org/XXXXXXXXXXXXXXXXX.
DOI: 10.5281/zenodo.10841052
title: Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin"

description: Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin", https://doi.org/10.48550/arXiv.2203.00104

The archive contains the experimental data and the results of numerical calculations as well as plotting scripts/notebooks for the figures presented in the manuscript.
DOI: 10.5281/zenodo.10841053
title: Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin"

description: Data for the manuscript "Correlation between two distant quasiparticles in separate superconducting islands mediated by a single spin", https://doi.org/10.48550/arXiv.2203.00104

The archive contains the experimental data and the results of numerical calculations as well as plotting scripts/notebooks for the figures presented in the manuscript.
DOI: 10.6084/m9.figshare.25438648
title: Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters CODE

description: Code and lens models used for the numerical results of the article 'Limits on Dark Matter Compact Objects implied by Supermagnified Stars in Lensing Clusters' (Claudi Vall Müller & Jordi Miralda-Escudé, 2024).<i>Figures</i> and <i>Numerical results </i>contain the outputs for the article. <i>Limit on Dark Matter Compact Objects CODE.ipynb </i>is the Python Notebook code of the project.To reproduce the results, download the full <i>Limit on DM Compact Objects CODE</i><i>.zip</i> file. Its heavy size is due to the needed <i>Lens Models </i>for the code.Claudi Vall Müller (claudivallmuller@gmail.com)19/03/2024
DOI: 10.5281/zenodo.10841251
title: nannopetersius_ansorgii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10841252
title: nannopetersius_ansorgii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10841212
title: Organic carbon in Amargosa River bank sediment

description: This dataset consists of measurements of organic carbon in the Amargosa River bank sediment and related parameters as well as a global compilation of organic carbon in river bank sediment.
DOI: 10.5281/zenodo.10841213
title: Organic carbon in Amargosa River bank sediment

description: This dataset consists of measurements of organic carbon in the Amargosa River bank sediment and related parameters as well as a global compilation of organic carbon in river bank sediment.
DOI: 10.6084/m9.figshare.24986535
title: <b>Table 1a-e: shows the PERMANOVA testing for significant differences in ASV abundance in 16S gut microbiome samples between variables (gonads, sex chromosomes, and treatment).</b>

description: Gonadal sex and chromosome complement influence the gut microbiome in a mouse model of allergic airway inflammation.
DOI: 10.6084/m9.figshare.24986535.v1
title: <b>Table 1a-e: shows the PERMANOVA testing for significant differences in ASV abundance in 16S gut microbiome samples between variables (gonads, sex chromosomes, and treatment).</b>

description: Gonadal sex and chromosome complement influence the gut microbiome in a mouse model of allergic airway inflammation.
DOI: 10.5281/zenodo.10841224
title: Detrended and corrected GNSS data from Lake Taupō, New Zealand, 2014–2021

description: If using this data please cite the following publication:

Schuler, J., Hreinsdóttir, S., Illsley-Kemp, F., Holden, C., Townend, J., Villamor, P. The response of Taupō Volcano to the M7.8 Kaikōura Earthquake. Journal of Geophysical Research - Solid Earth. 2024.

Also refer to this publication for full details on the methods used to derive the dataset.
DOI: 10.5281/zenodo.10841225
title: Detrended and corrected GNSS data from Lake Taupō, New Zealand, 2014–2021

description: If using this data please cite the following publication:

Schuler, J., Hreinsdóttir, S., Illsley-Kemp, F., Holden, C., Townend, J., Villamor, P. The response of Taupō Volcano to the M7.8 Kaikōura Earthquake. Journal of Geophysical Research - Solid Earth. 2024.

Also refer to this publication for full details on the methods used to derive the dataset.
DOI: 10.5281/zenodo.10841285
title: phenacogrammus_interruptus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10841286
title: phenacogrammus_interruptus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10841292
title: phenacogrammus_urotaenia_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10841293
title: phenacogrammus_urotaenia_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10834970
title: Database of simulated impulse responses and a scene constructor framework for the Audiovisual Immersion Lab (AVIL) at DTU

description: This package contains a set of simulated impulse responses (IRs) intended to represent low, mid, and high reverberation environments, originally developed for the Cognitive Control of a Hearing Aid (COCOHA) project, and rendered to be reproduced in the Audiovisual Immersion Lab (AVIL) at the Technical University of Denmark (DTU). 

A MATLAB-based scene constructor framework is also provided, which allows the generation of acoustic scenes based on the supplied IR databases with any input signal, as well as providing a means to generate binaural output signals.

The impulse responses are provided as SOFA (Spatially Oriented Format for Acoustics) files, including metadata about source and receiver positions, and require installation of the MATLAB SOFA API.
DOI: 10.5281/zenodo.10834971
title: Database of simulated impulse responses and a scene constructor framework for the Audiovisual Immersion Lab (AVIL) at DTU

description: This package contains a set of simulated impulse responses (IRs) intended to represent low, mid, and high reverberation environments, originally developed for the Cognitive Control of a Hearing Aid (COCOHA) project, and rendered to be reproduced in the Audiovisual Immersion Lab (AVIL) at the Technical University of Denmark (DTU). 

A MATLAB-based scene constructor framework is also provided, which allows the generation of acoustic scenes based on the supplied IR databases with any input signal, as well as providing a means to generate binaural output signals.

The impulse responses are provided as SOFA (Spatially Oriented Format for Acoustics) files, including metadata about source and receiver positions, and require installation of the MATLAB SOFA API.
DOI: 10.5281/zenodo.10246959
title: Muller's Ratchet in Action: The Erosion of Sexual Reproduction Genes in Domesticated Cassava  (Manihot esculenta)

description: Data Files for research study on Cassava gene evolutionary selection.
DOI: 10.5281/zenodo.10246960
title: Muller's Ratchet in Action: The Erosion of Sexual Reproduction Genes in Domesticated Cassava  (Manihot esculenta)

description: Data Files for research study on Cassava gene evolutionary selection.
DOI: 10.5281/zenodo.7039554
title: WatchBLoc: A smartwatch IMU and ambient BLE dataset for room-level localisation

description: WatchBLoc dataset


This dataset consists of BLE RSSIs (emitted from identical BLE beacons) and IMU recordings (3-axial acceleration, 3-axial gyroscope, 3-axial magnetometer) recorded by a Sony Smartwatch 3. All participants wore the smartwatch in their right hand, which was the dominant hand in all participants.


The data were recorded across two environments: a real-home and a demo-home. The demo-home consists of 6 rooms: big office, small office, kitchen, bathroom, meeting room, lab room. The real-home consists of 6 rooms: kitchen, living room, bedroom, bathroom, office, and loo. However, the living room and kitchen lie in the same open-plan space, and the loo lies within the office (i.e., it is an ensuite space). These can thus be accounted as:



	
the aforementioned 6 rooms
	
5 rooms, namely: open-plan kitchen/living room, bedroom, bathroom, office, loo
	
5 rooms, namely: kitchen, living room, bedroom, bathroom, ensuite
	
4 rooms, namely: open-plan kitchen/living room, bedroom, bathroom, ensuite.



BLE beacons were installed in each room of the above environments. A total of three BLE configurations were considered for each room; one beacon was placed in the centre of each room (denoted as "centre" in the dataset), one by the entrance of each room (denoted "doors") and one at a location in each room chosen such that the pairwise distances between the beacons from all rooms are maximised (denoted as "far").


The smartwatch was recording IMU at 100 Hz and BLE RSSIs at 0.2 Hz and the ground truth location which the participants had to report, by tapping the appropriate room label on the watch's screen every time they were entering a new room.


Each participant performed the experiment for approximately 1 hour continuously; with the sensor recording application active and the user instructed on how to record the ground truth location, the participants moved around the environment, performing activities that are commonly encountered in each room in their own style. Not everyone performed the exact same activities, and the ground truth activity labels were not recorded.


A total of 11 participants, noted as user1 to user11 performed the experiment across the two environments, yielding a total of 20 recordings, noted as rec1 to rec20 in the dataset. user1 performed the experiment in both environments; three times in the demo-home (rec1,5,8) and once in the real-home (rec13,15,17,19). user11 performed the experiment only in the real-home (rec14,16,18,20) while the rest of the users performed the experiment only in the demo home, yielding one recording each.


Note that recording rec13,15,17,19 were recorded simultaneously, but account for the four different assumptions on what constitutes a room in the "real home", as described before. The same holds for recordings rec14,16,18,20.


The data are organised per recording and user id. Note that some users have more than one corresponding recording.