cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21hy0j
title: CCDC 1892147: Experimental Crystal Structure Determination

description: Related Article: Debdeep Mandal, Vivek Gupta, Biswajit Santra, Nicolas Chrysochos, Vivek W Bhoyare, Avijit Maiti, Abhisek Kar, Suman, Anku Guha, Pallavi Thakur, Ramakirushnan Suriya Narayanan, Nitin T Patil, Carola Schulzke, Vadapalli Chandrasekhar, Anukul Jana|2019|J.Chem.Sci.(Bangalore,India)|131|121|doi:10.1007/s12039-019-1712-8
DOI: 10.5517/ccdc.csd.cc24btcp
title: CCDC 1976602: Experimental Crystal Structure Determination

description: Related Article: Rafal Kulmaczewski, Elzbieta Trzop, Eric Collet, Sergi Vela, Malcolm A. Halcrow|2020|J.Mater.Chem.C|8|8420|doi:10.1039/D0TC02174A
DOI: 10.5517/ccdc.csd.cc24tpj6
title: CCDC 1990898: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang, Jing Fan, Ling-Zhi Chen, Hong-Mei Geng|2020|J.Mol.Struct.|1218|128482|doi:10.1016/j.molstruc.2020.128482
DOI: 10.5517/ccdc.csd.cc24zg5s
title: CCDC 1995475: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zg6t
title: CCDC 1995476: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zg7v
title: CCDC 1995477: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zg8w
title: CCDC 1995478: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zg9x
title: CCDC 1995479: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc24zgby
title: CCDC 1995480: Experimental Crystal Structure Determination

description: Related Article: Xiaodan Ding, Daniel K. Unruh, Ryan H. Groeneman, Kristin M. Hutchins|2020|Chemical Science|11|7701|doi:10.1039/D0SC02795B
DOI: 10.5517/ccdc.csd.cc2527xf
title: CCDC 1998164: Experimental Crystal Structure Determination

description: Related Article: Ana Karina Seguin, Kerry Wrighton-Araneda, Diego Cortés-Arriagada, Carlos Cruz, Diego Venegas-Yazigi, Verónica Paredes-García|2020|J.Mol.Struct.|1224|129172|doi:10.1016/j.molstruc.2020.129172
DOI: 10.5517/ccdc.csd.cc252mfb
title: CCDC 1998521: Experimental Crystal Structure Determination

description: Related Article: Xin-Ting Liang, Jia-Hua Chen, Zhen Yang|2020|J.Am.Chem.Soc.|142|8116|doi:10.1021/jacs.0c02522
DOI: 10.5517/ccdc.csd.cc252mgc
title: CCDC 1998522: Experimental Crystal Structure Determination

description: Related Article: Xin-Ting Liang, Jia-Hua Chen, Zhen Yang|2020|J.Am.Chem.Soc.|142|8116|doi:10.1021/jacs.0c02522
DOI: 10.5517/ccdc.csd.cc260109
title: CCDC 2025819: Experimental Crystal Structure Determination

description: Related Article: C.L. Hall, V. Hamilton, J. Potticary, M.E. Cremeens, N.E. Pridmore, H.A. Sparkes, G.D. D'ambruoso, S.D. Warren, M. Matsumoto, S.R. Hall|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1599|doi:10.1107/S2056989020011858
DOI: 10.5517/ccdc.csd.cc26065m
title: CCDC 2025979: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.21227/c8pf-za46
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.5285/064f3a982cfc4b07bc5de627cd8676f1
title: MIDAS Open: UK daily temperature data, v202007

description: The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2019. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.
DOI: 10.5285/85b9dad7af814bfa9047a525927257f4
title: MIDAS Open: UK soil temperature data, v202007

description: The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2019. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. At many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches. Liquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.
DOI: 10.5285/77187ac1e0a341ca993c3366f8c59c3c
title: MIDAS Open: UK hourly rainfall data, v202007

description: The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2019. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset.
DOI: 10.5285/f7e09e89de234c15964a4cc7a75f3f74
title: MIDAS Open: UK mean wind data, v202007

description: The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2019. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. For further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.
DOI: 10.5285/f8612c43a1244fda9463787313d3892a
title: MIDAS Open: UK daily weather observation data, v202007

description: The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1889 to 2019. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection.
DOI: 10.5285/8d85f664fc614ba0a28af3a2d7ef4533
title: MIDAS Open: UK hourly weather observation data, v202007

description: The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2019. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948). For details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data.
DOI: 10.5285/1dc8578eb7434a7d8a661744d53eedf9
title: MIDAS Open: UK hourly solar radiation data, v202007

description: The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2019. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.
DOI: 10.6084/m9.figshare.13122056.v1
title: Species-specific variation in the metabolomic profiles of Acropora hyachintus and Acropora millepora mask acute temperature stress effects in adult coral colonies.

description: Coral reefs are suffering unprecedented declines in health state, on a global scale. Some researchers suggested that human assisted evolution (HAE) or assisted gene flow (AGF) may be necessary in order to effectively restore reefs and pre-condition them ready for the change in climate. To fully deploy such approaches, an omic-scale understanding of proposed transplanted corals would ensure desirable end benefits are achieved i.e. increased thermal resilience in the long term. To date, however, there is a dearth of research, particularly with regards to basic metabolomics understanding within Scleractinian corals. Here, the metabolomic profiles (measured using 1H nuclear magnetic resonance (1H NMR) spectroscopy and ultra-high-performance liquid chromatography-mass spectrometry (LC-MS)), of two dominant reef building corals, <i>Acropora hyacinthus</i> and <i>A. millepora,</i> from two distinct geographical locations (Australia, Great Barrier Reef and Singapore), were assessed. We explored how an acute temperature stress shifted the corals baseline metabolomic profile (an increase of 3.25<sup>◦</sup>C ± 0.28 from ambient, control levels over 28 days). Regardless of profiling method utilised, metabolomic signatures of coral colonies were significantly distinct between coral species, a result supporting previous work undertaken. Interestingly, this strong species-specific metabolomic signature appeared to mask any differences resulting from the heat stress. This indicates that metabolomics may not be the most sensitive tool for use in studies assessing heat stress and/or adult colonies are not plastic in their metabolomic response to short stress events. That said, it is likely not that simple and further research is urgently needed in order to decouple the cause of this masked metabolomic signature with regard to a corals response to a changing climate.
DOI: 10.6084/m9.figshare.13122056
title: Species-specific variation in the metabolomic profiles of Acropora hyachintus and Acropora millepora mask acute temperature stress effects in adult coral colonies.

description: Coral reefs are suffering unprecedented declines in health state, on a global scale. Some researchers suggested that human assisted evolution (HAE) or assisted gene flow (AGF) may be necessary in order to effectively restore reefs and pre-condition them ready for the change in climate. To fully deploy such approaches, an omic-scale understanding of proposed transplanted corals would ensure desirable end benefits are achieved i.e. increased thermal resilience in the long term. To date, however, there is a dearth of research, particularly with regards to basic metabolomics understanding within Scleractinian corals. Here, the metabolomic profiles (measured using 1H nuclear magnetic resonance (1H NMR) spectroscopy and ultra-high-performance liquid chromatography-mass spectrometry (LC-MS)), of two dominant reef building corals, <i>Acropora hyacinthus</i> and <i>A. millepora,</i> from two distinct geographical locations (Australia, Great Barrier Reef and Singapore), were assessed. We explored how an acute temperature stress shifted the corals baseline metabolomic profile (an increase of 3.25<sup>◦</sup>C ± 0.28 from ambient, control levels over 28 days). Regardless of profiling method utilised, metabolomic signatures of coral colonies were significantly distinct between coral species, a result supporting previous work undertaken. Interestingly, this strong species-specific metabolomic signature appeared to mask any differences resulting from the heat stress. This indicates that metabolomics may not be the most sensitive tool for use in studies assessing heat stress and/or adult colonies are not plastic in their metabolomic response to short stress events. That said, it is likely not that simple and further research is urgently needed in order to decouple the cause of this masked metabolomic signature with regard to a corals response to a changing climate.
DOI: 10.5285/e091188f36ff41fcae8c30da1ae77ea0
title: HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.