cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25w5t2
title: CCDC 2022124: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Guo, Philip Lightfoot|2020|Dalton Trans.|49|12767|doi:10.1039/D0DT02782K
DOI: 10.5517/ccdc.csd.cc25w5v3
title: CCDC 2022125: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Guo, Philip Lightfoot|2020|Dalton Trans.|49|12767|doi:10.1039/D0DT02782K
DOI: 10.5517/ccdc.csd.cc25w5w4
title: CCDC 2022126: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Guo, Philip Lightfoot|2020|Dalton Trans.|49|12767|doi:10.1039/D0DT02782K
DOI: 10.5517/ccdc.csd.cc25w5x5
title: CCDC 2022127: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Guo, Philip Lightfoot|2020|Dalton Trans.|49|12767|doi:10.1039/D0DT02782K
DOI: 10.5517/ccdc.csd.cc25w5y6
title: CCDC 2022128: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Guo, Philip Lightfoot|2020|Dalton Trans.|49|12767|doi:10.1039/D0DT02782K
DOI: 10.5281/zenodo.4058248
title: Death from causes other than Uveal Melanoma-Related in Patients with Uveal Melanoma and its associated cancers

description: Patients with uveal melanoma die from cancer or other causes. Here, we list the other causes based on SEER 9. The record will be updated to refer to include the full article URL once published. There you can read the full methods.
DOI: 10.5281/zenodo.4058247
title: Death from causes other than Uveal Melanoma-Related in Patients with Uveal Melanoma and its associated cancers

description: Patients with uveal melanoma die from cancer or other causes. Here, we list the other causes based on SEER 9. The record will be updated to refer to include the full article URL once published. There you can read the full methods.
DOI: 10.17632/v2p3th8pb5.7
title: Data for: Failure Analysis of Feed Water Pump Shaft in HRSG of 9F Gas Turbine Generator Unit

description: macrophotograph，fracture morphology，microstructure，mechanical property
DOI: 10.17632/kfdfv9tmxg.7
title: Data for: Dynamic capital structure under changing market conditions in the oil industry: An empirical investigation

description: Data correspond to variables constructed for analyzing capital structure models within the oil industry. Raw data were retrieved from DataStream.
DOI: 10.2905/0c6b9751-a71f-4062-830b-43c9f432370f
title: GHS population grid multitemporal (1975-1990-2000-2015), R2019A

description: The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4.10 were disaggregated from census or administrative units to grid cells, informed by the distribution and density of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

This dataset is an update of the product released in 2016. Major improvements are the following: use of better maps reporting built-up density (GHS-BUILT); use of more recents and detailed population estimates from GPWv4.10; better representation of settlements along coastlines; critical revision of census units declared as unpopulated; WGS-84 grids added.
DOI: 10.2905/0f9f3e2d-c8d7-4f46-bbe7-eacf3eed1560
title: Ruthenium-106 event (total gamma dose rates)

description: Between the end of September and early October 2017, several European networks involved in the monitoring of atmospheric radioactive contamination recorded 106Ru presence.  Some regions of Central and Eastern Europe measured one-day mean activity concentrations up to 10-100 mBq/m³, although the resulting exposure were far below radiological concern. Based on the meteorological conditions and modelling analysis, the most plausible zone of release, lies in the Southern Ural region of Russia and possibly Northern Kazakhstan, although it continues unknown until today.
DOI: 10.2905/21935ffc-b797-4bee-94da-8fec85b3f9e1
title: Downscaled-GOME2-SIF

description: A dataset of sun-induced fluorescence (SIF) retrieved from the GOME-2 instrument and spatially downscaled to 0.05 decimal degrees with a semi-empirical light-use efficiency model
DOI: 10.2905/23cbc7c4-4fcc-47d5-a286-f8a4edc8215f
title: Ruthenium-106 event (air concentration samples)

description: Between the end of September and early October 2017, several European networks involved in the monitoring of atmospheric radioactive contamination recorded 106Ru presence.  Some regions of Central and Eastern Europe measured one-day mean activity concentrations up to 10-100 mBq/m³, although the resulting exposure were far below radiological concern. Based on the meteorological conditions and modelling analysis, the most plausible zone of release, lies in the Southern Ural region of Russia and possibly Northern Kazakhstan, although it continues unknown until today.
DOI: 10.2905/de42f259-fafe-4329-9798-9d8fabb98de5
title: REM data bank - Years 2007-2011

description: Environmental radioactivity data from the REM data bank, referred to years 2007-2011.

The Radioactivity Environmental Monitoring (REM) data bank was set-up in 1988 to bring together and store in a harmonised way environmental radioactivity data produced in the aftermath of the Chernobyl accident. The database contains a unique collection of environmental radioactivity measurements from a wide number of different sources, media and countries, mainly the 28 EU Member States.
DOI: 10.2905/jrc-10088-10009
title: HTS DB of Nanomaterials on HepaRGs

description: The large amount of existing nanomaterials demands for rapid and reliable ways to test their potential toxicological effect on human health, preferably by means of relevant in vitro tests in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows to derive much more information from cell-based assays than with the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including up to 14 different read outs including viable cell count, cell membrane permeability, apoptotic cell death, mitochondrial membrane potential and steatosis of the human hepatoma HepaRG cell line treated with a large set of nanomaterials, coatings and supernatants at different concentrations. The database, given its size, can be utilized for the development of in silico hazard assessment and prediction tools or can be combined with toxicity effect on other in vitro test systems.
DOI: 10.2905/jrc-10117-10024
title: REM data bank - Years 1984-2006

description: Environmental radioactivity data from the REM data bank, referred to years 1984-2006.

The Radioactivity Environmental Monitoring (REM) data bank was set-up in 1988 to bring together and store in a harmonised way environmental radioactivity data produced in the aftermath of the Chernobyl accident. The database contains a unique collection of environmental radioactivity measurements from a wide number of different sources, media and countries, mainly the 28 EU Member States.
DOI: 10.2905/jrc-bigdataeoss-s1-mosaic
title: Mosaic of Copernicus Sentinel-1 Data at Global Scale

description: (a) Mosaic of level-1 ground range detected Sentinel-1 (A and B) products with dual polarisation (VV+VH or HH+HV), covering the entire globe and represented as a false colour RGB composition; (b) Large scale mosaics of satellite data are crucial for several applications that involve geo-analysis with remote sensing data such as mapping large natural hazard areas, landcover classification and for guiding field investigations.
DOI: 10.2905/jrc-ghsl-10008
title: GHS built-up grid, derived from Sentinel-1 (2016), R2018A

description: Information layer on the presence of built-up surfaces derived from global Sentinel-1 Synthetic Aperture Radar (SAR) satellite data, collected during 2016. The native spatial resolution of the data is 20 meters with a pixel spacing of 10 meters and dual polarisation acquisitions (VV and VH). The data was processed by fully automatic and reproducible methods based on statistical learning (Symbolic Machine Learning). No manual or ad-hoc rule-based editing of the results was applied in the post-processing. The product it is provided with a spatial resolution of 20 meters.
DOI: 10.2905/jrc-liscoast-10009
title: European Coastal Flood Risk

description: In this study we present the results of the coastal flood risk assessment for Europe until the end of the 21st century, by incorporating the impacts of global warming and the different socio-economic development scenarios. The effect of climate change at the extreme total sea level is the main trigger of the increasing coastal inundation and the related losses at the coastal zone. In the absence of further investments on coastal flood protection, the present Expected Annual Damage (EAD) is projected to increase by 2 to 3 orders of magnitude by the end of the century, while the current Expected Annual Number of People Exposed to coastal flooding (EAPE) is projected to reach up to 3.65 million people by that time.
DOI: 10.2905/jrc-liscoast-10012
title: Global Extreme Sea Level projections

description: In this study we present probabilistic projections of Extreme Sea Levels (ESL) until the end of the 21st century along the global coastline, by considering the contribution of mean sea level, tides, waves and storm surges. Between the year 2000 and 2100 we project a very likely (90% probability) increase of the global average 100-year ESL of 34-76 cm under a moderate-emission-mitigation-policy scenario, and of 58-172 cm under a business as usual scenario. Intensification of the frequency of the design conditions is projected under both of the RCP scenarios for most of the shorelines, implying for timely actions towards coastal adaptation.
DOI: 10.2907/lfs1983-2018v.1
title: EU - Labour Force Survey microdata 1983-2018, release 2019, version 1
DOI: 10.2905/0bd1dfab-e311-4046-8911-c54a8750df79
title: GHS-composite-S2 R2020A - Sentinel-2 global pixel based image composite from L1C data for the period 2017-2018

description: GHS-composite-S2 R2020A corresponds to global cloud-free pixel based composite created from the Sentinel-2 data archive (Level L1C) available in Google Earth Engine for the period January 2017- December 2018. GHS_composite_S2_L1C_2017-2018_GLOBE_R2020A: pixel based image composite. It consists of a global scale raster grid of four spectral bands (B2: Blue, B3: Green, B4: Red and B8: Near Infrared) with a spatial resolution of 10 meters. It is produced and tiled following the Universal Transverse Mercator (UTM) system with each tile having the projection of the UTM zones (UTM/WGS84 projection) to which it corresponds to. This dataset has been used as the core input data for the update of the Global Human Settlement Layer (GHS-BUILT) by mapping built-up areas at a spatial resolution of 10 meters . GHS_DOY_S2_L1C_2017-2018_GLOBE_R2020A raster grid at 10 meter resolution representing the Day of the Year (DOY) of the images contributing the Sentinel-2 image composite
DOI: 10.2905/18eb5f19-b916-454f-b2f5-88881931587e
title: Global shoreline change projections

description: Projections of global shoreline change in view of climate change considering the combined effects of ambient change, sea level rise and storm driven erosion
DOI: 10.2905/347f0337-f2da-4592-87b3-e25975ec2c95
title: GHS-FUA R2019A - GHS functional urban areas, derived from GHS-UCDB R2019A, (2015), R2019A

description: The spatial dataset delineates the boundaries of Function Urban Areas (FUA) of Urban Centres in 2015. The automatic procedure developed in collaboration with OECD estimates for each populated cells at 1 km (obtained from GHS-POP R2019A) the probability to belong to a Functional Urban Area of a given Urban Centre (GHS-UCDB R2019A). Pixels with probability higher than a calibrated threshold are combined to form the eFUA extent and polygonized to obtain the boundaries.
DOI: 10.2905/42e8be89-54ff-464e-be7b-bf9e64da5218
title: GHS settlement grid, updated and refined REGIO model 2014 in application to GHS-BUILT R2018A and GHS-POP R2019A, multitemporal (1975-1990-2000-2015), R2019A

description: The layer presents a refinement of the REGIO degree of urbanization model using as applied to the global population grid generated by the JRC in four epochs (1975, 1990, 2000, 2015). It has been generated by integration of built-up areas extracted from Landsat image data processing (GHS-BUILT), and population data derived from the CIESIN GPW v4.10 (GHS-POP). 

This dataset in an update of the data released in 2016. The GHS Settlement Model grid is an improvement of the GHS Settlement Grid (R2016A) introducing a more detailed classification of settlements in two levels, also called ‘refined degree of urbanization’. The Settlement Model is provided at the detailed level (Second Level - L2). First level, as a porting of the Degree of Urbanization adopted by EUROSTAT can be obtained aggregating L2.
DOI: 10.2905/57a615eb-cfbc-435a-a8c5-553bd40f76c9
title: A dataset of GHG emissions for 6,200 cities in Europe and the Southern Mediterranean countries

description: The Global Covenant of Mayors for Climate and Energy (GCoM) is the largest dedicated international initiative to promote climate action at city level, covering globally over 10,000 cities and in the European Union almost half the population by end of March 2020. The present dataset refers to a harmonised, complete and verified dataset of GHG inventories for 6,200 cities, signatories of the GCoM initiative as of end of 2019, in the: European Union, EFTA countries and UK, Western Balkans, Eastern and Southern EU neighbourhoods countries The methodology and the general approach for the data collection can be found in Bertoldi et. al. 2018. Guidebook: How to develop a Sustainable Energy Climate Action Plan (SECAP). (2018) doi:10.2760/223399.
DOI: 10.2905/8bd2b792-cc33-4c11-afd1-b8dd60b44f3b
title: European Settlement Map from Copernicus Very High Resolution data for reference year 2015, Public Release 2019

description: The European Settlement Map data is a spatial raster dataset that is mapping human settlements in Europe based on Copernicus Very High Resolution optical coverage for reference year 2015 (VHR_IMAGE_2015). It follows-up on the previous ESM_2012 derived from 2.5 m resolution SPOT-5/6 images acquired in the context of the pan-European GMES/Copernicus (Core_003) dataset for the reference year 2012.
DOI: 10.2905/944f6d9b-2fbf-422e-ae3e-4b3aa391ed48
title: Global long-term shoreline evolution

description: In this study we present the evolution of the global shoreline from 1984 to 2015 based on satellite observations. During this period, the eroded surface is estimated up to 28,0000 km2 which is twice the amount of accreted land. This study highlights the impact of the anthropogenic activities at the coastal zone, the footprint of coastal natural disasters and the potential vulnerability of the coastal areas due to the effect of climate change.
DOI: 10.2905/be02937c-5a08-4732-a24a-03e0a48bdcda
title: ENACT-POP R2020A - ENACT 2011 Population Grid

description: This spatial raster dataset depicts the distribution/density of population, expressed as the number of people per cell, during night-time and daytime for each month of 2011. The grids are produced by estimating the regional and monthly stocks of population sub-groups and disaggregating the population stocks to grid level using a detailed maps of land uses, location of socioeconomic activities and built-up. The results are cross-compared against independent sources. These tasks involve the assembly and combination of statistical and geo-data from multiple sources, both conventional (e.g. official statistics, information derived from remote sensing) and non-conventional (e.g. volunteered geographic information, data from web services, proprietary thematic datasets, mobile phone data).
DOI: 10.2905/d3163b12-d931-44ed-a609-af82860a47e0
title: Costs and benefits of coastal adaptation in Europe

description: Costs and benefits of raising coastal defences along the European coastline in view of climate change
DOI: 10.2906/097103114105/1
title: Inventory of recognised producer organisations in the EU's agricultural sector

description: This dataset contains an inventory of recognised producer organisations (POs) and of recognised associations of producer organisations (APOs) in the agricultural sector in the EU. The data has been collected in the scope of the "[Study of the best ways for producer organisations to be formed, carry out their activities and be supported](https://ec.europa.eu/info/sites/info/files/food-farming-fisheries/key_policies/documents/report-producer-organisations-study_en.pdf)". Inventory shows the situation as of 01 July 2017.
DOI: 10.2906/101110101114/1
title: Database of the European energy storage technologies and facilities

description: An appropriate deployment of energy storage technologies is of primary importance for the transition towards an energy system. For that reason, this database has been created as a complement for the [Study on energy storage - contribution to the security of the electricity supply in Europe.](https://op.europa.eu/en/publication-detail/-/publication/a6eba083-932e-11ea-aac4-01aa75ed71a1) The database includes three different approaches: - Energy storage technologies: All existing energy storage technologies with their characteristics. - Front of the meter facilities: List of all energy storage facilities in the EU-28, operational or in project, that are connected to the generation and the transmission grid with their characteristics. - Behind the meter energy storage: Installed capacity per country of all energy storage systems in the residential, commercial and industrial infrastructures. The purpose of this database is to give a global view of all energy storage technologies. They are sorted in five categories, depending on the type of energy acting as a reservoir. Relevant types of data for each technology have been highlighted.
DOI: 10.2906/112117098108/1
title: EU Open Data Portal - API

description: The REST API is one of the ways to access the EU Open Data Portal. Under API are available the portal core functionalities. This encompasses all you can do with the web interface. The information retrieved can thus be used by external code that calls the portal API. The API, for programmatic use, is available at the following URL: http://data.europa.eu/euodp/data/api/ The application used by the EU Open Data Portal for the API is CKAN. You can find useful documentation about the API at the CKAN On whose website. JSON is the used message format (specified in RFC 4627) for communication. If you want to use the REST API in your application, you can check the following examples.
DOI: 10.2906/112117098108/3
title: Test catalogue

description: Test catalogue
DOI: 10.2906/112117098108/4
title: OPac - the Publications Office online public access catalogue

description: The Publications Office Online Public Access Catalogue (OPAC) offers access to bibliographical metadata of the EU general publications. The OPAC is updated daily and contains references to material dating back to 1952. The web interface includes a quick and an advanced search functionality and permits the users to consult the bibliographical records in 24 official EU languages. The records can also be exported and downloaded, individually or in bulk, in standardised formats used by libraries and information aggregators, including EndNote, Marc21, Marcxml. Reuse of records is authorised, provided the source is acknowledged.
DOI: 10.2906/112117098108/7
title: Annual Activity Report 2019 of the Publications Office

description: The dataset contains information on the activity of the Publications Office of the European Union in 2019, based on its Annual Activity Report (AAR). It details the achievements and initiatives taken during the year and the resources used. The performance indicators and data available are grouped into three main categories: key results and progress towards the achievement of objectives, organisational management and financial control, and financial statements. The AAR is a management report of the Director-General of the Publications Office to the College of Commissioners on the performance of his duties. It is a key component of the accountability chain within the Commission, in which the Director-General takes responsibility for the management of resources, by reference to the objectives and related indicators set out in the Strategic and Management Plans and the efficiency and effectiveness of internal control systems, including an overall assessment of the costs and benefits of controls. The report is available in English and must be finalised by 31 March each year. The AARs of all directorates-general of the European Commission are then communicated to the European Parliament, the Council and the European Court of Auditors.
DOI: 10.2906/114101103105111/1
title: ESIF 2014-2020 EU payments (daily update)

description: This dataset presents information on EU payments to the ESI Funds programmes as well as to FEAD, IPA-E and ENI supported programmes. Annual snapshots are provided in the data and therefore the data must be filtered by year to have an accurate view of the total EU planned amount and payments made. Data is reported on cumulative basis, i.e. the amounts shown in 2017 represent the cumulative payments made from the beginning of the programming period (2014-2017 up to date). The dataset is updated on a daily basis.
DOI: 10.2907/lfs1983-2018v.2
title: EU - Labour Force Survey microdata 1983-2018, release 2019, version 2
DOI: 10.17632/9mvbg38z3d.1
title: Messinian West Alboran Sea record in the proximity of Gibraltar: early signs of Atlantic-Mediterranean gateway restriction
DOI: 10.2999/op_dataset_test_003_20180522
title: test backend dataset 3 update 23.05.2018

description: this is a test to see if the metadata is saved in the system
DOI: 10.17632/53f995z8dp.1
title: Growing seismicity in the Sichuan Basin and its association with industrial activities

description: The data set contains following four files used in Lei X, Su J, Wang Z. 2020. Growing seismicity in the Sichuan Basin and its association with industrial activities. Science China Earth Sciences, 63, https://doi.org/10.1007/s11430-020-9646-x. 1) "CMT_Weiyuan_CAP.cmt" for centroid moment tensors. 2) "hypoDD_Weiyuan_2019-202003_m1.2.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site. 3) "hypoDD_WeiyuanEast_2019-202003_m1.5.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site (east sub block). 4) "hypoDD_WeiyuanWest_2019-202003_m1.5.reloc" for relocated catalogue of earthquakes in Weiyuan shale gas site (east sub block).
DOI: 10.17632/s2h69tyg2k.1
title: Survey Data of Students' Community of Inquiry Adjustments

description: The survey data presented here indicate the students’ learning adjustment in terms of their perceived Community of Inquiry (CoI) adjustments from classroom to online learning environment during the political turmoil in a case Hong Kong higher education institution from November to December 2019 and from online to blended learning environment during the outbreak of COVID-19 pandemic from February to May 2020 in the case Hong Kong higher education institution. The survey was conducted from late June 20 to early August 2020 to collect the data of the CoI adjustments (i.e. teaching adjustment, social adjustment and cognitive adjustment) from a convenience sample of 683 students from different majors enrolled in the academic year 2019-2020 at the case Hong Kong higher education institution. 212 students participated in the survey by completing the online questionnaire which is also available here.