cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57780/esa-x55easr
title: RO-C-RPCLAP-2-ESC1-MTP012

description: This data set contains EDITED data from Rosetta RPC-LAP acquired during the COMET ESCORT 1 MTP012 mission phase. Comet C-G/67P was the primary target. This data set supersedes RO-C-RPCLAP-2-ESC1-EDITED-V1.0 and is only MTP012 part of it. [truncated see actual data for full text]
DOI: 10.57780/esa-x7x0160
title: RO-C-RPCLAP-2-PRL-EDITED

description: This dataset contains EDITED raw data from the Rosetta RPC-LAP instrument acquired during the prelanding phase (PRL) at comet 67P/Churyomov-Gerasimenko 1. [truncated see actual data for full text]
DOI: 10.57780/esa-xdi29v5
title: RO-CAL-J-M-ALICE-3-MARS

description: This data set contains CODMAC level 3 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the Mars swing-by phase of the Rosetta mission which occurred 2006-07-29 to 2007-05-28. Data include the calibration observations of payload checkout (PC) 4 observations of Mars and observations of Jupiter and the Io plasma torus. [truncated see actual data for full text]
DOI: 10.57780/esa-xiy03vs
title: RO-X-RPCMAG-4-CR4A-RESAMPLED

description: This dataset contains RESAMPLED DATA (CODMAC LEVEL 4) of the Cruise 4-1 phase called CRUISE PHASE CR4A of the ROSETTA orbiter magnetometer RPCMAG. Included are data from the Passive Checkout PC8 from July 11 2008 until August 1 2008. The current version of the dataset is V9.0. The difference to the datasets of earlier versions is mainly a significantly improved sensor temperature model more detailed documentation about magnetic disturbance sources more data handling information for the user and also an improved quality flagging system. [truncated see actual data for full text]
DOI: 10.57780/esa-xo1e3nj
title: RO-E-RPCMAG-2-EAR1-RAW

description: This dataset contains EDITED RAW DATA (CODMAC LEVEL 2) of the FIRST EARTH SWINGBY (EAR1) of the ROSETTA orbiter magnetometer RPCMAG. The closest approach (CA) took place on March 4 2005 at 22:09. Included are data of the swingby from March 1 2005 until March 7 2005 and the Passive Checkout PC0 on March 29 2005. The current version of the dataset is V9.0. The difference to the datasets of earlier versions is mainly a significantly improved sensor temperature model more detailed documentation about magnetic disturbance sources more data handling information for the user and also an improved quality flagging system. This applies mainly to CALIBRATED and RESAMPLED datasets. The RAW dataset however has been updated as well in order provide all datasets at the same stage although RAW data proper did not change. [truncated see actual data for full text]
DOI: 10.57780/esa-y0o25r0
title: RO-E-RPCMAG-3-EAR2-CALIBRATED

description: This dataset contains CALIBRATED (CODMAC LEVEL 3) DATA of the SECOND EARTH SWINGBY (EAR2) of the ROSETTA orbiter magnetometer RPCMAG. The closest approach (CA) took place on November 13 2007 at 20:57. Included are data of the Active Checkout 6 in September 2007 and the Passive Checkout PC7 in January 2008. The current version of the dataset is V9.0. The difference to the datasets of earlier versions is mainly a significantly improved sensor temperature model more detailed documentation about magnetic disturbance sources more data handling information for the user and also an improved quality flagging system. [truncated see actual data for full text]
DOI: 10.57780/esa-y2qsbs4
title: RO-CAL-ALICE-2-CR4A

description: This data set contains CODMAC level 2 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the Cruise 4A mission phase which occurred during July 2008. [truncated see actual data for full text]
DOI: 10.57780/esa-y4sif2l
title: RO-SS-RPCLAP-3-CR5-CALIB2

description: This data set contains CALIBRATED data from Rosetta RPC-LAP acquired during the CRUISE 5 mission phase where the primary target was the SOLAR WIND. It contains instrument outputs in volts and amperes calibrated and corrected for instrument offsets. [truncated see actual data for full text]
DOI: 10.57780/esa-yfb9f16
title: RO_ALICE_3_ESC4

description: This data set contains CODMAC Level 3 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the comet 67P/Churyumov-Gerasimenko Comet Escort 4 mission phase which took place between 2015-10-22 and 2015-12-31. [truncated see actual data for full text]
DOI: 10.57780/esa-yi5f0mr
title: RO-C-RPCLAP-2-ESC2-MTP017

description: This data set contains EDITED data from Rosetta RPC-LAP acquired during the COMET ESCORT 2 MTP017 mission phase. Comet C-G/67P was the primary target. This data set supersedes RO-C-RPCLAP-2-ESC2-MTP017-V1.0. [truncated see actual data for full text]
DOI: 10.57780/esa-yr5ulho
title: RO-C_CAL-ALICE-4-EXT2

description: This data set contains CODMAC Level 4 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the comet 67P/Churyumov-Gerasimenko Rosetta Extension 2 mission phase which took place between 2016-04-06 and 2016-06-30. The current V2.0 data set supersedes the previous V1.0 data set with improved browse products and documentation. [truncated see actual data for full text]
DOI: 10.57780/esa-yryf33u
title: RO-E-RPCLAP-3-EAR3-CALIB2

description: This data set contains CALIBRATED data from Rosetta RPC-LAP acquired during the EARTH SWING-BY 3 mission phase where the primary target was the planet EARTH. It contains instrument outputs in volts and amperes calibrated and corrected for instrument offsets. [truncated see actual data for full text]
DOI: 10.57780/esa-yuhy1d8
title: RO-A-CAL-ALICE-2-AST1

description: This data set contains CODMAC level 2 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the fly-by of the asteroid (2867) Steins which occurred on 2008-09-05. [truncated see actual data for full text]
DOI: 10.57780/esa-yxr724r
title: RO_ALICE_4_PRL

description: This data set contains CODMAC Level 4 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the comet 67P/Churyumov-Gerasimenko Prelanding mission phase which took place between 2014-01-21 and 2014-11-19. The current V2.0 data set supersedes the previous V1.0 data set. Pixel list data files have had corrections applied to their FITS formatting and browse images have been supplied. [truncated see actual data for full text]
DOI: 10.57780/esa-zgh2772
title: RO-C-CAL-ALICE-3-ESC1

description: This data set contains CODMAC level 3 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the 67P/Churyumov-Gerasimenko comet escort 1 mission phase which took place between 2014-11-19 and 2015-03-10. [truncated see actual data for full text]
DOI: 10.5258/soton/d1592
title: Dataset supporting the publication: 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis'

description: This dataset supports 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis' paper in IEEE MEMS 2021 conference. This dataset contains: All figures that appear in the publication in the folder “Figures”. Raw data for measurement and simulation for each figure in the folder “Raw_data”. Information about geographic location of data collection: Experiment data was collected in Cryogenic Prober Station in Room 2022 Building 53, University of Southampton. UK, SO17 1BJ
DOI: 10.57780/esa-zk4l8k8
title: RO_ALICE_2_ESC2

description: This data set contains CODMAC Level 2 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the comet 67P/Churyumov-Gerasimenko Comet Escort 2 mission phase which took place between 2015-03-11 and 2015-06-30. [truncated see actual data for full text]
DOI: 10.57780/esa-zk6m43e
title: RO_ALICE_2_ESC1

description: This data set contains CODMAC Level 2 data acquired by the Rosetta Orbiter ALICE UV Spectrometer during the comet 67P/Churyumov-Gerasimenko Comet Escort 1 mission phase which took place between 2014-11-20 and 2015-03-10. The current V2.0 data set supersedes the previous V1.0 data set. Pixel list data files have had corrections applied to their FITS formatting. [truncated see actual data for full text]
DOI: 10.57780/esa-zr234v2
title: RO-C-RPCLAP-2-EXT2-MTP029

description: This data set contains EDITED data from Rosetta RPC-LAP acquired during the ROSETTA EXTENSION 2 MTP029 mission phase. Comet C-G/67P was the primary target. [truncated see actual data for full text]
DOI: 10.34740/kaggle/dsv/6036965
title: ⚔⛨ Dota 2 Pro League Matches 2020-2023
DOI: 10.5281/zenodo.8086030
title: Data created in a stakeholder analysis of selected cases of Nature-Based Solutions in Scotland

description: These data represent the results of a stakeholder analysis of selected cases of catchment-related 'Nature-Based Solutions' (NbS) in Scotland. This arose from a desk-based study to examine publicly-accessible website content and associated reports to assess the actors involved in Nature-Based Solutions (NbS), their attributes, and relationship to six NbS related initiatives in Scotland. These data were collected and analysed November 2022-March 2023. Please see the first tab for more information about the study, and the content on each of the tabs of the spreadsheet. This was carried out as part of investigation into Scaling and Mainstreaming Nature-based Solutions: WP4 of Project JHI-D2-2 in the 2022-2027 Strategic Research Programme funded by the Scottish Government. Please visit https://www.hutton.ac.uk/research/projects/scaling-and-mainstreaming-nature-based-solutions for more information about this project and a report which accompanies and used these data.
description: Funded by Project JHI-D2-2 in the 2022-2027 Strategic Research Programme funded by the Scottish Government.
DOI: 10.5281/zenodo.8086031
title: Data created in a stakeholder analysis of selected cases of Nature-Based Solutions in Scotland

description: These data represent the results of a stakeholder analysis of selected cases of catchment-related 'Nature-Based Solutions' (NbS) in Scotland. This arose from a desk-based study to examine publicly-accessible website content and associated reports to assess the actors involved in Nature-Based Solutions (NbS), their attributes, and relationship to six NbS related initiatives in Scotland. These data were collected and analysed November 2022-March 2023. Please see the first tab for more information about the study, and the content on each of the tabs of the spreadsheet. This was carried out as part of investigation into Scaling and Mainstreaming Nature-based Solutions: WP4 of Project JHI-D2-2 in the 2022-2027 Strategic Research Programme funded by the Scottish Government. Please visit https://www.hutton.ac.uk/research/projects/scaling-and-mainstreaming-nature-based-solutions for more information about this project and a report which accompanies and used these data.
description: Funded by Project JHI-D2-2 in the 2022-2027 Strategic Research Programme funded by the Scottish Government.
DOI: 10.34943/322ee40a-3e48-4393-92d3-9256d548d43b
title: Folger Deep Oxygen Sensor Deployed 2023-06-26

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 631501 was deployed on 2023-06-26 at Folger Deep. Folger Deep is a deep location in Folger Passage near a pillar-like seamount, where productivity and marine mammals are observed. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7985268
title: Imaging data from "Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD"

description: 3D 20ms, 3D 500ms and 2D dCas9 raw videos, localisation, tracking and trajectory analysis data From 'Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD" (2021). Biorxiv. https://doi.org/10.1101/2020.04.03.003178
description: {"references": ["Basu, Shukron et al. (2021) Biorxiv. https://doi.org/10.1101/2020.04.03.003178"]}
DOI: 10.5281/zenodo.7985267
title: Imaging data from "Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD"

description: 3D 20ms, 3D 500ms and 2D dCas9 raw videos, localisation, tracking and trajectory analysis data From 'Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD" (2021). Biorxiv. https://doi.org/10.1101/2020.04.03.003178
description: {"references": ["Basu, Shukron et al. (2021) Biorxiv. https://doi.org/10.1101/2020.04.03.003178"]}
DOI: 10.6084/m9.figshare.23586204
title: S Data 1 - MAGs statistics file

description: Chloroflexota MAGs statistics file
DOI: 10.6084/m9.figshare.23585400
title: <strong>Rapid tropicalization evidence of subtidal seaweed assemblages along a coastal transitional zone Dataset</strong>

description: Datasets <strong>Rapid tropicalization evidence of subtidal seaweed assemblages along a coastal transitional zone Dataset</strong> <br> <strong>Authors appreciate acknowledgement when using this data</strong> DOI 10.6084/m9.figshare.23585400 <br>
DOI: 10.34740/kaggle/dsv/6037105
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.8086289
title: Source code and data files for the acoustic sensor-based wearable fetal movement monitor

description: This repository contains data files and source code for the acoustic sensor-based wearable fetal movement monitor.
DOI: 10.5281/zenodo.8086288
title: Source code and data files for the acoustic sensor-based wearable fetal movement monitor

description: This repository contains data files and source code for the acoustic sensor-based wearable fetal movement monitor.
DOI: 10.5281/zenodo.8086283
title: Duarte_et_al_Dataset_GeoHealth.csv

description: This database refers to burned area, particulate matter with a diameter of 10 or 2.5 micrometers (μm) or less (PM<sub>10</sub>, PM<sub>2.5</sub>), carbon monoxide (CO), nitrogen dioxide (NO<sub>2</sub>), ozone (O<sub>3</sub>), temperature, relative humidity, wind speed, aerosol optical depth (AOD) and mortality rates of Circulatory System Disease (CSD), Respiratory System Disease (RSD), Pneumonia (PNEU), Chronic Obstructive Pulmonary Disease (COPD), and Asthma (ASMA) used on the article <strong>Fire-Pollutant-Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons</strong> published at AGU GeoHealth in 2023. The full methodology is described in the article. The national monthly mean concentrations of PM<sub>10</sub>, PM<sub>2.5</sub>, CO, O<sub>3</sub>, and NO<sub>2</sub> were used as five variables named PM10_Obs, PM25_Obs, CO_Obs, O3_Obs, and NO2_Obs for multivariate statistical analysis. Daily exceedances of the WHO guidelines for PM<sub>10</sub>, PM<sub>2.5</sub>, and NO<sub>2</sub> were counted monthly and included as three variables named WHO_PM10, WHO_PM25, and WHO_NO2 for multivariate statistical analysis. Meteorological data of air temperature at 2 meters above the surface (TEMP_Obs) and relative humidity (RH_Obs), and 10 m wind speed (WS_Obs) from 43 meteorological stations in mainland Portugal. The CAMS global reanalysis monthly averaged fields of the Total aerosol optical depth at 550 nm (AOD_CAMs), Black carbon aerosol optical depth at 550 nm (BC_AOD_CAMs) and Dust aerosol optical depth at 550 nm (Dust_AOD_CAMs) were used. Standardized mortality rates (per 100 000 inhabitants - all ages) were selected according to the International Classification of Diseases, version 11 (ICD-11; https://icd.who.int/browse11/l-m/en): Circulatory System Diseases (CSD) (ICD-11: 1B40 - BE2Z); Respiratory System Diseases (RSD) (ICD-11: CA00 - CB40); Pneumonia (PNEU) (ICD-11: CA40 - CA40.Z); Chronic Obstructive Pulmonary Disease (COPD) (ICD-11: CA20.Z - CA22.Z); and Asthma (ASMA) (ICD-11: CA23 - CA23.3). Monthly national mortality data for Portugal were provided by the National Institute of Statistics (INE) (INE; https://www.ine.pt/).
DOI: 10.6084/m9.figshare.23586219
title: S Data 3 - KEGG modules annotation

description: S Data 3 - KEGG modules annotation (100% completeness)
DOI: 10.6084/m9.figshare.23586219.v1
title: S Data 3 - KEGG modules annotation

description: S Data 3 - KEGG modules annotation (100% completeness)
DOI: 10.6084/m9.figshare.23586240
title: Pretrained atomistic neural networks

description: Pretrained models for the work "Applying atomistic neural networks to bias conformer ensembles towards bioactive-like conformations". There is one model for each split strategy and core AtNN (SchNet, DimeNet++ or ComENet). See https://github.com/bbaillif/bioactive_conformation_predictor
DOI: 10.6084/m9.figshare.23586240.v1
title: Pretrained atomistic neural networks

description: Pretrained models for the work "Applying atomistic neural networks to bias conformer ensembles towards bioactive-like conformations". There is one model for each split strategy and core AtNN (SchNet, DimeNet++ or ComENet). See https://github.com/bbaillif/bioactive_conformation_predictor
DOI: 10.14473/csda/zikr37/ndq0ja
title: 0012.tab

description: Data
DOI: 10.14473/csda/zikr37/od65a1
title: D_ISSP00004en.pdf

description: Questionnaire
DOI: 10.14473/csda/zikr37/pqdhw0
title: OM_ISSP00004en.pdf

description: :unav
DOI: 10.14473/csda/zikr37/boryzj
title: TI_ISSP00004en.pdf

description: Technical information
DOI: 10.5281/zenodo.7320009
title: Dataset: "Resilience of small PAHs in interstellar clouds: Efficient stabilization of cyanonaphthalene by fast radiative cooling"

description: Data supporting the article "Resilience of small PAHs in interstellar clouds: Efficient stabilization of cyanonaphthalene by fast radiative cooling"
DOI: 10.5281/zenodo.7320010
title: Dataset: "Resilience of small PAHs in interstellar clouds: Efficient stabilization of cyanonaphthalene by fast radiative cooling"

description: Data supporting the article "Resilience of small PAHs in interstellar clouds: Efficient stabilization of cyanonaphthalene by fast radiative cooling"
DOI: 10.14473/csda/zbixk9/flphce
title: 0013.tab

description: Data
DOI: 10.14473/csda/zbixk9/cdl8yb
title: TI_ISSP00005en.pdf

description: Technical informtion
DOI: 10.14473/csda/zbixk9/zitgxd
title: D_ISSP00005en.pdf

description: Questionnaire
DOI: 10.26050/wdcc/cd_c5_sc
title: coastDat TRIM-NP-2d CMIP5 hydrodynamic transient scenarios for the North Sea and the Northeast Atlantic for the period 1950-2100 with REMO MPI-ESM and HadGEM2 forcing

description: Project: coastDat Water Level and Waves Future Scenarios - This dataset comprises consistent marine future scenarios for the North Sea and Baltic Sea for water levels, currents and sea states based on CMIP scenarios. The data are obtained with the hydrodynamic model TRIM-NP and wave model WAM respectively. Regional atmospheric forcing varies depending on the selected scenario. Find more information about WAKOS (Wasser an den Küsten Ostfrieslands) at https://ms.hereon.de/wakos/index.php.de. WAKOS is funded by Federal Ministry of Education and Research (BMBF) (funding program "Research for Sustainable (FONA)" within the funding RegIKlim (Regionale Informationen zum Klimahandeln)). Summary: These are the hydrodynamic transient scenarios for the North Sea and the Northeast Atlantic for the period 1950-2006 (historical) and 2006-2100 (future). Atmospheric forcing originates from CMIP5 CORDEX EUR-11 regionalized scenarios (https://www.wdc-climate.de/ui/project?acronym=CORDEX_DDS-CMIP5_native-grid). The simulation has been performed with the hydrodynamic model TRIM-NP V2.5 in barotropic 2D mode. FES tides are included. Water level and current component fields are stored hourly. The model is set up on an equidistant Cartesian grid cascade with the center near Helgoland (7.88 E, 54.18 N). The coarsest grid with 12.8 km resolution covers the area from 20 W to 30 E and from 42 N to 65 N. Further 3 nested grids better resolve the North Sea (with 6.4km), southern North Sea (with 3.2km) and the German Bight (with 1.6km). Model data from grid 1 and grid 4 are available in this data bank. The file name of the data sets is composed as follows: trim_____.nc spatial resolution: 12.8km (only ssh), 1.6km variable: ssh (sea_surface_height_above_sea_level), u_velocity (sea_water_x_velocity), v_velocity (sea_water_y_velocity) global model: mpi, had scenario: rcp85, rcp26 ,hist
DOI: 10.17909/6a4y-qt08
title: IUE data HD 142990
DOI: 10.14473/csda/zqr5zn/btdc5b
title: TI_ISSP00006en.pdf

description: Technical informtion
DOI: 10.14473/csda/zqr5zn/zr3yij
title: 0014.tab

description: Data
DOI: 10.14473/csda/zqr5zn/kdnv3f
title: OM_ISSP00006en.pdf

description: Other materials
DOI: 10.14473/csda/zqr5zn/djkl1l
title: D_ISSP00006en.pdf

description: :unav
DOI: 10.14473/csda/n74dw2/nll5vo
title: TI_ISSP00007en.pdf

description: Technical informtion
DOI: 10.14473/csda/n74dw2/gdkxfa
title: 0015.tab

description: Data
DOI: 10.14473/csda/n74dw2/75wsg7
title: D_ISSP00007en.pdf

description: Questionnaire
DOI: 10.18712/nsd-nsd0520-v4
title: Consumer Expenditure Survey 1995

description: Statistics Norway has used periodic consumption surveys as a basis for preparing and updating the weight basis for the consumer price index. Detailed overviews of consumption in private households have also formed an important basis for the living conditions statistics, and for research on income, living conditions and e.g. effects of the tax system's use of direct and indirect taxes. The material is also so detailed that it provides an interesting basis for dietary analyses. Data can also be used for demand studies, in economic planning models or for specification of private consumption in the national accounts.

Up to and including 1973, Statistics Norway carried out consumption surveys at intervals of several years, in 1974 Statistics Norway switched to a system of annual surveys, with a somewhat smaller sample. From 1974-1976, data is published for 3 years at a time, and the annual gross sample is approximately 1,500 households, net sample 1,100-1,200 households. The aim was still to build up a detailed overview of consumption in private households, as a basis for updating the weight basis in the consumer price index. One also wants to survey consumption in different types of households. The households are classified according to characteristics such as household type, income, main employee's occupational status and age, area of residence, size of total consumption expenditure, etc. Data is organized in several parts and contains background information about the household (collected through an introductory interview that maps the household composition), detailed consumption measured in value and quantity (registered by keeping a diary, respectively for the household and individuals), the household's purchase of durable consumer goods (durable capital goods, collected at a comprehensive closing interview), consumption of self-produced goods and income and tax

Gross sample: Approx. 6,500 households for the 3-year period 1995-1997
A household has shared housing and shared meals
Net sample: 1995: 1,312 households Somewhat variable for different parts of the data collection
For the 3-year period 1995-1997, the net sample is 3,921 households (Publication for this 3-year period is not available)
DOI: 10.18712/nsd-nsd1599-5-v2
title: Energy and Built Environment (5/5), 1994

description: The purpose of this project was to investigate what influence the development pattern in the cities and towns have for citizens' transportation needs, selection of transport and energy use for transportation. This issue is addressed through five empirical studies that cover different geographical levels:
- A comprehensive study of 22 Nordic towns
- An extensive, but not so in-depth study of the 97 largest cities in Sweden
- A study of commuting areas around 15 Swedish cities
- A study of households in 30 residential areas in Oslo
- A survey of employees at six workplaces in Oslo.

This dataset includes data from the fifth study, a  survey of employees at six workplaces in Oslo.