cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccrq5k5
title: CCDC 706507: Experimental Crystal Structure Determination

description: Related Article: R.Inglis, L.F.Jones, C.J.Milios, S.Datta, A.Collins, S.Parsons, W.Wernsdorfer, S.Hill, S.P.Perlepes, S.Piligkos, E.K.Brechin|2009|Dalton Trans.||3403|doi:10.1039/b822235e
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/ccrq5l6
title: CCDC 706508: Experimental Crystal Structure Determination

description: Related Article: R.Inglis, L.F.Jones, C.J.Milios, S.Datta, A.Collins, S.Parsons, W.Wernsdorfer, S.Hill, S.P.Perlepes, S.Piligkos, E.K.Brechin|2009|Dalton Trans.||3403|doi:10.1039/b822235e
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/ccrq5n8
title: CCDC 706510: Experimental Crystal Structure Determination

description: Related Article: R.Inglis, L.F.Jones, C.J.Milios, S.Datta, A.Collins, S.Parsons, W.Wernsdorfer, S.Hill, S.P.Perlepes, S.Piligkos, E.K.Brechin|2009|Dalton Trans.||3403|doi:10.1039/b822235e
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/ccrsbc6
title: CCDC 708578: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbd7
title: CCDC 708579: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbf8
title: CCDC 708580: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbg9
title: CCDC 708581: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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: 10.34894/fqsttl
title: TINTIN Corpus: Framing and Backgrounds

description: This is data from the TINTIN Corpus related to the framing and backgrounds of panels in a global corpus of comics.
description: Multimodali Annotation Software Tool, 0.1.2
description: Description of the annotations in this dataset can be found in:
<br>
Neil Cohn, Irmak Hacımusaoğlu, Bien Klomberg, and Ana Krajinović. 2024. TINTIN Project Documentation: Visual Language Theory Annotation Guides. Tilburg University. Visual Language Lab Resources https://visuallanguagelab.com/P/TINTINProject_annotationguide.pdf
DOI: 10.5517/ccrsbhb
title: CCDC 708582: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbjc
title: CCDC 708583: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbkd
title: CCDC 708584: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsblf
title: CCDC 708585: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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: 10.5281/zenodo.10625504
title: UAVSAR change detection SLC

description: Extract from UVSAR dataset (courtesy NASA/JPL-Caltech) used in paper:

A. Mian, G. Ginolhac, J. -P. Ovarlez and A. M. Atto, "New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images", in IEEE Transactions on Signal Processing, vol. 67, no. 2, pp. 520-534, 15 Jan.15, 2019, doi: 10.1109/TSP.2018.2883011.
DOI: 10.5517/ccrsbmg
title: CCDC 708586: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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/ccrsbnh
title: CCDC 708587: Experimental Crystal Structure Determination

description: Related Article: Hsiao-Chan Liu, I-Han Chen, Anny Huang, Sin-Chiang Huang, Kuei Fang Hsu|2009|Dalton Trans.||3447|doi:10.1039/b819935c
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: 10.5281/zenodo.3483136
title: NOAFAULTS KMZ layer Version 2.1 (2019 update)

description: The NOAFAULTs database of active faults was published in 2013 (versions 1.0 & 1.1). In this datase we present the upgrades comprising the newer version of the database (version 2.1). NOAFAULTs was created towards compiling a digital database of fault geometry and additional attributes (character of faulting, past seismicity etc) primarily to support seismicity monitoring at the National Observatory of Athens (NOA). It has been constructed from published fault maps in peer-reviewed journals since 1972 while the number of the scientific papers that were included is 110. The standard commercial software ARC GIS has been used to design and populate the database. In the new version, details on fault geometry, such as the strike, the dip-angle and the dip direction, and kinematics for each individual fault are included. For well-studied faults, information about the slip rate or the creep or the co-seismic slip is reported. The fault layer was produced by on-screen digitization and is available to the scientific community in ESRI shapefile (SHP), KML/KMZ and TXT formats in WGS84 projection. In this version of the database, we continue to focus on the active faults of the upper (Aegean + Eurasian) plate and the back-arc region of the Hellenic Arc, in general. A number of 2437 faults are now included.
description: The following contributors are gratefully acknowledged: Ms Athanassia Oikonomou, Ms Fotini Kounavi, Ms Vasiliki Kanavou, Ms Varvara Tsironi MSc, Ms Elisavet Kollia, Ms Christina Tsimi, MSc Dr. Sotiris Valkaniotis, Mr George Evangelou, Mr Michael Delagas, MSc
description: {"references": ["Ganas A., Oikonomou I.A. and Tsimi , 2013. NOAfaults: a digital database for active faults in Greece. Bulletin of the Geological Society of Greece, vol. 47 (2), 518-530, \u0394\u03b5\u03bb\u03c4\u03af\u03bf \u0395.\u0393.\u0395., \u03c4\u03cc\u03bc\u03bf\u03c2 XLVII - 13o \u0394\u03b9\u03b5\u03b8\u03bd\u03ad\u03c2 \u03a3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf \u03c4\u03b7\u03c2 \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ae\u03c2 \u0393\u03b5\u03c9\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u0395\u03c4\u03b1\u03b9\u03c1\u03af\u03b1\u03c2, \u03a7\u03b1\u03bd\u03b9\u03ac, 5-8 \u03a3\u03b5\u03c0\u03c4\u03b5\u03bc\u03b2\u03c1\u03af\u03bf\u03c5 2013 p.518-530, http://dx.doi.org/10.12681/bgsg.11079", "Ganas, A., Tsironi, V., Kollia, E., Delagas, M., Tsimi, Ch., Oikonomou, Ath. 2018. Recent upgrades of the NOA database of active faults in Greece (NOAFAULTs). 19th General Assembly of WEGENER, September 2018, Grenoble, sciencesconf.org:wegener2018:219400"]}
DOI: 10.5285/76a29c5b55204b66a40308fc2ba9cdb3
title: GloboLakes: Lake Surface Water Temperature (LSWT) v4.0 (1995-2016)

description: Global Observatory of Lake Responses to Environmental Change (GloboLakes) was a project funded by the Natural Environment Research Council (NERC) with the following grant references; NE/J023345/2, NE/J02211X/1, NE/J023396/1, NE/J021717/1 and NE/J022810/1. This dataset contains the GloboLakes LSWT v4.0 of daily observations of Lake Surface Water Temperature (LSWT) its uncertainty and quality levels. The LSWTs are obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) on MetOpA, ATSR-2 (Along Track Scanning Radiometer) on ERS-2 (European Remote Sensing Satellite) and AATSR (Advanced Along Track Scanning Radiometer) on Envisat. The temperatures from the different instruments have been derived with the same algorithm and harmonised to insure consistency for the period 1995-2016. The GloboLakes LSWT v4.0 was produced by the University of Reading in 2018 for long term observations of surface water temperature for about 1000 lakes globally. The dataset consist of two sets of files: 1) a single file per day on a 0.05° regular latitude- longitude grid covering the period from June 1995 to December 2016 (folder = daily), 2) a file per lake which contains the time series (daily) of the lake on a 0.05° regular grid (folder = per-lake). The list of the GloboLakes lakes is included as a CSV file and it contains name, GLWD identifier, coordinate of the lake centre and a set of coordinates that can be used to locate the lake in the daily-file dataset. The LSWTs consists of the daily observations of the temperature of the water (skin temperature). Uncertainty estimates and quality levels are provided for each value.
DOI: 10.6073/pasta/d459c2163f3d626635c9244cebe6b85a
title: Physiochemical water column parameters and hydrographic time series from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

description: To understand circulation and seasonality as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program, temperature, conductivity, salinity, pressure, depth, and current velocity are recorded hourly in situ, starting August 2018 in lagoons across the Beaufort Sea coast (Elson Lagoon, Kaktovik Lagoon, and Jago Lagoon). Moorings include combinations of 1) RBR Concerto CTDs with temperature, conductivity, and pressure sensors; 2) StarOddi CTs with temperature and conductivity sensors; and 3) Lowell TCM-1 Tilt Current meters with MAT-1 Data Loggers for velocity and bearing. In addition, during BLE LTER's annual sampling, water column physiochemical parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) are measured by hand with a YSI data sonde at river, lagoon, and open ocean sites along the Beaufort Sea coast. Here we provide both quality controlled in situ mooring data and all YSI sonde data.
DOI: 10.6084/m9.figshare.16528557
title: Potentially long-lasting effects of the pandemic on scientists

description: Code and demo data for the paper "Potentially long-lasting effects of the pandemic on scientists".<br>
DOI: 10.13026/6mm1-ek67
title: MIMIC-IV

description: Retrospectively collected medical data has the opportunity to improve patient
care through knowledge discovery and algorithm development. Broad reuse of
medical data is desirable for the greatest public good, but data sharing must
be done in a manner which protects patient privacy. The Medical Information
Mart for Intensive Care (MIMIC)-III database provided critical care data for
over 40,000 patients admitted to intensive care units at the Beth Israel
Deaconess Medical Center (BIDMC). Importantly, MIMIC-III was deidentified, and
patient identifiers were removed according to the Health Insurance Portability
and Accountability Act (HIPAA) Safe Harbor provision. MIMIC-III has been
integral in driving large amounts of research in clinical informatics,
epidemiology, and machine learning. Here we present MIMIC-IV, an update to
MIMIC-III, which incorporates contemporary data and improves on numerous
aspects of MIMIC-III. MIMIC-IV adopts a modular approach to data organization,
highlighting data provenance and facilitating both individual and combined use
of disparate data sources. MIMIC-IV is intended to carry on the success of
MIMIC-III and support a broad set of applications within healthcare.
DOI: 10.17632/w24mmm27f9.1
title: Rumor spread with self-generated signals - Extended Simulation Results

description: Tuchner, Tomer, and Gail Gilboa-Freedman. "Crying “Wolf” in a Network Structure: The Influence of Node-Generated Signals." International Conference on Complex Networks and Their Applications. Springer, Cham, 2019. https://github.com/tomertuc/SelfGeneratedSignals
DOI: 10.17882/101170
title: A machine learning-based dissolved organic carbon climatology

description: Marine dissolved organic carbon (DOC) is a significant carbon reservoir that impacts climate but remains poorly quantified. The absence of a comprehensive DOC climatology impedes model validation, estimation of the current DOC inventory, and comprehension of DOC's role in the carbon cycle and climate. To tackle this issue, we employed boosted regression trees to link a compilation of DOC observations with various environmental climatologies, extrapolating these relationships across the entire ocean to generate annual layer-wise DOC climatologies with associated uncertainties. The prediction performance was satisfactory, with R² values ranging from 0.6 to 0.8 across all layers. In the bathypelagic layer, DOC was primarily predicted by dissolved oxygen, while nutrients were the main predictors in other layers. We estimate the total oceanic DOC inventory to be approximately 690 PgC. Our findings demonstrate that machine learning is a powerful tool for developing climatologies from limited observations.
 
Files description
annual_climatologies.csv - lon: longitude - lat: latitude - surf_doc_avg: average DOC prediction in the surface layer (0 - 10 m) - surf_doc_sd: standard deviation of DOC prediction in the surface layer (0 - 10 m) - epi_doc_avg: average DOC prediction in the epipelagic layer (10 - 200 m) - epi_doc_sd: standard deviation of DOC prediction in the epipelagic layer (10 - 200 m) - meso_doc_avg: average DOC prediction in the mesopelagic layer (200 - 1000 m) - meso_doc_sd: standard deviation of DOC prediction in the mesopelagic layer (200 - 1000 m) - bathy_doc_avg: average DOC prediction in the bathypelagic layer (&gt; 1000 m) - bathy_doc_sd: standard deviation of DOC prediction in the bathypelagic layer (&gt; 1000 m)
 
seasonal_climatologies.csv - lon: longitude - lat: latitude - season: meteorological season in the northern hemisphere as 1 = DJF, 2 = MAM, 3 = JJA, 4 = SON - surf_doc_avg: average DOC prediction in the surface layer (0 - 10 m) - surf_doc_sd: standard deviation of DOC prediction in the surface layer (0 - 10 m)
DOI: 10.21227/7gmx-jq63
title: Biometric 220x6 Human footprint

description: Present dataset intended to give human footprint a legal capacity. The human footprint can be a good candidate for biometric identification. The presented dataset has been created using EPSON 5500 Scanner, which is an ordinary PSC machine. This dataset consists of 6 right side multispectral footprints per person from 220 volunteers captured at different periods.
DOI: 10.23696/mcwt-fr58
title: V-Dem Dataset v14
DOI: 10.24381/cds.9eed87d5
title: Temperature and precipitation climate impact indicators from 1971 to 2100 derived from European climate projections
DOI: 10.24432/c54606
title: SUSY
DOI: 10.25522/manifesto.mpds.2018b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25832/time_series/2020-10-06
title: Time series

description: Load, wind and solar, prices in hourly resolution. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity prices, electricity consumption (load) as well as wind and solar power generation and capacities. The data is aggregated either by country, control area or bidding zone. Geographical coverage includes the EU and some neighbouring countries. All variables are provided in hourly resolution. Where original data is available in higher resolution (half-hourly or quarter-hourly), it is provided in separate files. This package version only contains data provided by TSOs and power exchanges via ENTSO-E Transparency, covering the period 2015-mid 2020. See previous versions for historical data from a broader range of sources. All data processing is conducted in Python/pandas and has been documented in the Jupyter notebooks linked below.
DOI: 10.26193/wrhdul
title: National Drug Strategy Household Survey, 2019

description: The 2019 National Drug Strategy Household Survey was conducted between April and September of 2019 and examines current awareness of attitudes and behaviours toward drugs and drug problems within the Australian community, focussing on respondents' personal attitudes toward drugs, knowledge of drugs and drug histories. &lt;/br&gt;&lt;/br&gt;
The survey included questions regarding respondents' personal drug and alcohol experience and behaviour, opinions on drug policy and legislation, availability of drugs and alcohol, injury and harm from drugs and alcohol, and attitudes towards the use of alcohol and other drugs. The drugs covered included: tobacco/cigarettes, alcohol, pain-killers/pain-relievers and opioids, tranquillisers, heroin, methadone, inhalants, ketamine, GHB, ecstasy, hallucinogens, cocaine, meth/amphetamines, cannabis/marijuana, synthetic cannabis, other psychoactive substances, and steroids. 
&lt;/br&gt;&lt;/br&gt;
Demographic and background variables included: state of residence, age, sex, marital status, self-assessed health status, sexuality, Indigenous status, country of birth, language spoken at home, employment status, occupation, level of education, income, index of socio-economic advantage and disadvantage, remoteness area and household composition.
description: National Drug Strategy Household Survey
description: SPSS, 25.0
description: Stata, 12.0
description: SAS, 9.4
description: Version 1.0 Pre-release for preliminary orders. 
Version 2.0 First Release of data files.
Version 3.0 Update to General Release data files, Additions of Subset data files. 
Version 4.0 Update to General Release data files.
Version 5.0 Update to General Release data files.
Version 6.0 Removed superseded data files. 

Version 7.0 Updated General Release data files to include two new variables (STRATUM and Cluster). STRATUM includes categories for Capital city, Major regional centres and rest of state. The Cluster variable includes deidentified SA1s and SA2s based on stratum used for the 2019 NDSHS. SA1 selection was used for capital cities and major regional centres, and SA2 selection was used for all other areas.