cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28cpx8
title: CCDC 2096620: Experimental Crystal Structure Determination

description: Related Article: E. Ramakrishna, Jia-Dong Tang, Jia-Ju Tao, Qiang Fang, Zibin Zhang, Jianying Huang, Shijun Li|2021|Chem.Commun.|57|9088|doi:10.1039/D1CC01507A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c2hgf
title: CCDC 2177144: Experimental Crystal Structure Determination

description: Related Article: Halil İlkimen, Sabiha Gözde Salün, Aysel Gülbandılar, Musa Sarı|2022|J.Mol.Struct.|1270|133961|doi:10.1016/j.molstruc.2022.133961
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: 10.34740/kaggle/dsv/4152092
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.20796733
title: Problems of China's global demonstration tourism cities: Case Study of Liyang, China"

description: Problems of China's global demonstration tourism cities: Case Study of Liyang, China"
DOI: 10.6084/m9.figshare.20796733.v1
title: Problems of China's global demonstration tourism cities: Case Study of Liyang, China"

description: Problems of China's global demonstration tourism cities: Case Study of Liyang, China"
DOI: 10.6084/m9.figshare.20363197.v4
title: Efficacy and safety of vutrisiran for patients with hereditary transthyretin-mediated amyloidosis with polyneuropathy: a randomized clinical trial

description: The study objective was to assess the effect of vutrisiran, an RNA interference therapeutic that reduces transthyretin (TTR) production, in patients with hereditary transthyretin (ATTRv) amyloidosis with polyneuropathy. HELIOS-A was a phase 3, global, open-label study comparing the efficacy and safety of vutrisiran with an external placebo group (APOLLO study). Patients were randomized 3:1 to subcutaneous vutrisiran 25 mg every 3 months (Q3M) or intravenous patisiran 0.3 mg/kg every 3 weeks (Q3W) for 18 months. HELIOS-A enrolled 164 patients (vutrisiran, <i>n</i> = 122; patisiran reference group, <i>n</i> = 42); external placebo, <i>n</i> = 77. Vutrisiran met the primary endpoint of change from baseline in modified Neuropathy Impairment Score +7 (mNIS+7) at 9 months (<i>p</i> = 3.54 × 10<sup>−12</sup>), and all secondary efficacy endpoints; significant improvements versus external placebo were observed in Norfolk Quality of Life-Diabetic Neuropathy, 10-meter walk test (both at 9 and 18 months), mNIS+7, modified body-mass index, and Rasch-built Overall Disability Scale (all at 18 months). TTR reduction with vutrisiran Q3M was non-inferior to within-study patisiran Q3W. Most adverse events were mild or moderate in severity, and consistent with ATTRv amyloidosis natural history. There were no drug-related discontinuations or deaths. Vutrisiran significantly improved multiple disease-relevant outcomes for ATTRv amyloidosis versus external placebo, with an acceptable safety profile. NCT03759379
DOI: 10.14457/cu.doc.2022.22
title: ลักษณะทางคลินิกของมะเร็งต่อมน้ำเหลืองที่บริเวณเบ้าตา (manifestation of orbital lymphoma)
DOI: 10.14457/cu.doc.2022.23
title: วิถีทางปฏิบัติในการวินิจฉัยและการตรวจทางห้องปฏิบัติการสำหรับคู่สมรสที่มีบุตรยาก (practical diagnostic and investigational pathway for the infertile couple
DOI: 10.14457/cu.doc.2022.24
title: เทคนิคการฉายรังสี และการกำหนดปริมาณรังสีสำหรับผู้ป่วยโรคมะเร็งตับ (external beam radiotherapy technique and fractionation regimen for hepatocellular carcinoma)
DOI: 10.14457/cu.doc.2022.25
title: โปรแกรม antibiotic stewardship: อะไร อย่างไร และผลลัพธ์ (antibiotic stewardship progam: what, how and outcome)
DOI: 10.14457/cu.doc.2022.26
title: โอมิกส์ทางนิติเวชและนิติวิทยาศาสตร์ (omics science in forensic medicine and forensic science)
DOI: 10.25574/61250
title: Chandra X-ray Observatory ObsId 61250
DOI: 10.25574/61251
title: Chandra X-ray Observatory ObsId 61251
DOI: 10.25574/61253
title: Chandra X-ray Observatory ObsId 61253
DOI: 10.25574/61254
title: Chandra X-ray Observatory ObsId 61254
DOI: 10.25574/61256
title: Chandra X-ray Observatory ObsId 61256
DOI: 10.25574/61258
title: Chandra X-ray Observatory ObsId 61258
DOI: 10.25574/61260
title: Chandra X-ray Observatory ObsId 61260
DOI: 10.25574/61263
title: Chandra X-ray Observatory ObsId 61263
DOI: 10.25574/61264
title: Chandra X-ray Observatory ObsId 61264
DOI: 10.25574/61265
title: Chandra X-ray Observatory ObsId 61265
DOI: 10.25574/61268
title: Chandra X-ray Observatory ObsId 61268
DOI: 10.25574/61270
title: Chandra X-ray Observatory ObsId 61270
DOI: 10.25574/61271
title: Chandra X-ray Observatory ObsId 61271
DOI: 10.25574/61272
title: Chandra X-ray Observatory ObsId 61272
DOI: 10.25574/61273
title: Chandra X-ray Observatory ObsId 61273
DOI: 10.25574/61274
title: Chandra X-ray Observatory ObsId 61274
DOI: 10.25574/61277
title: Chandra X-ray Observatory ObsId 61277
DOI: 10.25574/61279
title: Chandra X-ray Observatory ObsId 61279
DOI: 10.25574/61280
title: Chandra X-ray Observatory ObsId 61280
DOI: 10.25574/61281
title: Chandra X-ray Observatory ObsId 61281
DOI: 10.25574/61294
title: Chandra X-ray Observatory ObsId 61294
DOI: 10.25574/61297
title: Chandra X-ray Observatory ObsId 61297
DOI: 10.25574/61298
title: Chandra X-ray Observatory ObsId 61298
DOI: 10.25574/61301
title: Chandra X-ray Observatory ObsId 61301
DOI: 10.25574/61302
title: Chandra X-ray Observatory ObsId 61302
DOI: 10.25574/61304
title: Chandra X-ray Observatory ObsId 61304
DOI: 10.25574/61307
title: Chandra X-ray Observatory ObsId 61307
DOI: 10.25574/61308
title: Chandra X-ray Observatory ObsId 61308
DOI: 10.25574/61310
title: Chandra X-ray Observatory ObsId 61310
DOI: 10.25574/61313
title: Chandra X-ray Observatory ObsId 61313
DOI: 10.25574/61315
title: Chandra X-ray Observatory ObsId 61315
DOI: 10.25574/61318
title: Chandra X-ray Observatory ObsId 61318
DOI: 10.25574/61319
title: Chandra X-ray Observatory ObsId 61319
DOI: 10.25574/61321
title: Chandra X-ray Observatory ObsId 61321
DOI: 10.25574/61323
title: Chandra X-ray Observatory ObsId 61323
DOI: 10.25574/61325
title: Chandra X-ray Observatory ObsId 61325
DOI: 10.25574/61327
title: Chandra X-ray Observatory ObsId 61327
DOI: 10.25574/61329
title: Chandra X-ray Observatory ObsId 61329
DOI: 10.25574/61331
title: Chandra X-ray Observatory ObsId 61331
DOI: 10.25574/61333
title: Chandra X-ray Observatory ObsId 61333
DOI: 10.25574/61336
title: Chandra X-ray Observatory ObsId 61336
DOI: 10.25574/61337
title: Chandra X-ray Observatory ObsId 61337
DOI: 10.25574/61339
title: Chandra X-ray Observatory ObsId 61339
DOI: 10.25574/61342
title: Chandra X-ray Observatory ObsId 61342
DOI: 10.25574/61344
title: Chandra X-ray Observatory ObsId 61344
DOI: 10.25574/61345
title: Chandra X-ray Observatory ObsId 61345
DOI: 10.25574/61346
title: Chandra X-ray Observatory ObsId 61346
DOI: 10.25574/61348
title: Chandra X-ray Observatory ObsId 61348
DOI: 10.25574/61350
title: Chandra X-ray Observatory ObsId 61350
DOI: 10.25574/61352
title: Chandra X-ray Observatory ObsId 61352
DOI: 10.25574/61353
title: Chandra X-ray Observatory ObsId 61353
DOI: 10.25574/61355
title: Chandra X-ray Observatory ObsId 61355
DOI: 10.25574/61358
title: Chandra X-ray Observatory ObsId 61358
DOI: 10.25574/61360
title: Chandra X-ray Observatory ObsId 61360
DOI: 10.25574/61362
title: Chandra X-ray Observatory ObsId 61362
DOI: 10.25574/61363
title: Chandra X-ray Observatory ObsId 61363
DOI: 10.25574/61364
title: Chandra X-ray Observatory ObsId 61364
DOI: 10.25574/61365
title: Chandra X-ray Observatory ObsId 61365
DOI: 10.25574/61367
title: Chandra X-ray Observatory ObsId 61367
DOI: 10.25574/61371
title: Chandra X-ray Observatory ObsId 61371
DOI: 10.25574/61372
title: Chandra X-ray Observatory ObsId 61372
DOI: 10.25574/61373
title: Chandra X-ray Observatory ObsId 61373
DOI: 10.25574/61375
title: Chandra X-ray Observatory ObsId 61375
DOI: 10.25574/61378
title: Chandra X-ray Observatory ObsId 61378
DOI: 10.25574/61379
title: Chandra X-ray Observatory ObsId 61379
DOI: 10.25574/61381
title: Chandra X-ray Observatory ObsId 61381
DOI: 10.25574/61384
title: Chandra X-ray Observatory ObsId 61384
DOI: 10.25574/61385
title: Chandra X-ray Observatory ObsId 61385
DOI: 10.25574/61386
title: Chandra X-ray Observatory ObsId 61386
DOI: 10.25574/61387
title: Chandra X-ray Observatory ObsId 61387
DOI: 10.25574/61391
title: Chandra X-ray Observatory ObsId 61391
DOI: 10.25574/61392
title: Chandra X-ray Observatory ObsId 61392
DOI: 10.25574/61393
title: Chandra X-ray Observatory ObsId 61393
DOI: 10.25574/61396
title: Chandra X-ray Observatory ObsId 61396
DOI: 10.25574/61397
title: Chandra X-ray Observatory ObsId 61397
DOI: 10.25574/61398
title: Chandra X-ray Observatory ObsId 61398
DOI: 10.25574/61399
title: Chandra X-ray Observatory ObsId 61399
DOI: 10.25574/61401
title: Chandra X-ray Observatory ObsId 61401
DOI: 10.25574/61404
title: Chandra X-ray Observatory ObsId 61404
DOI: 10.25574/61407
title: Chandra X-ray Observatory ObsId 61407
DOI: 10.25574/61409
title: Chandra X-ray Observatory ObsId 61409
DOI: 10.25574/61410
title: Chandra X-ray Observatory ObsId 61410
DOI: 10.25574/61412
title: Chandra X-ray Observatory ObsId 61412
DOI: 10.25574/61414
title: Chandra X-ray Observatory ObsId 61414
DOI: 10.25574/61419
title: Chandra X-ray Observatory ObsId 61419
DOI: 10.25574/61420
title: Chandra X-ray Observatory ObsId 61420
DOI: 10.25574/61421
title: Chandra X-ray Observatory ObsId 61421
DOI: 10.25574/61423
title: Chandra X-ray Observatory ObsId 61423
DOI: 10.25574/61424
title: Chandra X-ray Observatory ObsId 61424
DOI: 10.25574/61425
title: Chandra X-ray Observatory ObsId 61425
DOI: 10.25574/61427
title: Chandra X-ray Observatory ObsId 61427
DOI: 10.25574/61430
title: Chandra X-ray Observatory ObsId 61430
DOI: 10.25574/61433
title: Chandra X-ray Observatory ObsId 61433
DOI: 10.25574/61436
title: Chandra X-ray Observatory ObsId 61436
DOI: 10.25574/61438
title: Chandra X-ray Observatory ObsId 61438
DOI: 10.25574/61440
title: Chandra X-ray Observatory ObsId 61440
DOI: 10.25574/61443
title: Chandra X-ray Observatory ObsId 61443
DOI: 10.25574/61444
title: Chandra X-ray Observatory ObsId 61444
DOI: 10.25574/61447
title: Chandra X-ray Observatory ObsId 61447
DOI: 10.25574/61448
title: Chandra X-ray Observatory ObsId 61448
DOI: 10.25574/61449
title: Chandra X-ray Observatory ObsId 61449
DOI: 10.25574/61450
title: Chandra X-ray Observatory ObsId 61450
DOI: 10.25574/61452
title: Chandra X-ray Observatory ObsId 61452
DOI: 10.25574/61453
title: Chandra X-ray Observatory ObsId 61453
DOI: 10.25574/61465
title: Chandra X-ray Observatory ObsId 61465
DOI: 10.25574/61467
title: Chandra X-ray Observatory ObsId 61467
DOI: 10.25574/61469
title: Chandra X-ray Observatory ObsId 61469
DOI: 10.25574/61470
title: Chandra X-ray Observatory ObsId 61470
DOI: 10.25574/61472
title: Chandra X-ray Observatory ObsId 61472
DOI: 10.25574/61473
title: Chandra X-ray Observatory ObsId 61473
DOI: 10.25574/61477
title: Chandra X-ray Observatory ObsId 61477
DOI: 10.25574/61478
title: Chandra X-ray Observatory ObsId 61478
DOI: 10.25574/61481
title: Chandra X-ray Observatory ObsId 61481
DOI: 10.25574/61482
title: Chandra X-ray Observatory ObsId 61482
DOI: 10.25574/61484
title: Chandra X-ray Observatory ObsId 61484
DOI: 10.25574/61486
title: Chandra X-ray Observatory ObsId 61486
DOI: 10.25574/61489
title: Chandra X-ray Observatory ObsId 61489
DOI: 10.25574/61490
title: Chandra X-ray Observatory ObsId 61490
DOI: 10.25574/61492
title: Chandra X-ray Observatory ObsId 61492
DOI: 10.25574/61494
title: Chandra X-ray Observatory ObsId 61494
DOI: 10.25574/61496
title: Chandra X-ray Observatory ObsId 61496
DOI: 10.25574/61497
title: Chandra X-ray Observatory ObsId 61497
DOI: 10.25574/61499
title: Chandra X-ray Observatory ObsId 61499
DOI: 10.5281/zenodo.7040577
title: FloX data for SIF retrieval testing

description: Zip - Folders containing calibrated reflectance, reflected radiance and incoming radiance retrieved from measurements with FloX field spectrometers over Alfalfa and Forage (2018 in Grosseto, Italy), Cover crop (2020 in Julich, Germany) and Oak canopy (2020 in Observatoire de Haute-Provence (OHP), France) during clear sky conditions. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view. In addition, SCOPE simulated full spectral fluorescence and true reflectance are supplied. The data is organized in sub-folders inside the zip-repositories which are named according to the date of recording, containing CSV-files which hold the hyperspecteral information. One file is associated to the integrated full-range (FULL) spectrometer between 340nm and 1000nm, and the fluorescence-range (FLUO) spectrometer between 650nm and 810nm, containing incoming radiance, reflected radiance or reflectance, respectively. The first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m<sup>-2</sup> sr<sup>-1</sup> nm<sup>-1</sup>) or reflectance (unitless) values.
description: Field measurements were carried out under lead management and funding of European Space Agency in the frame of AtmoFLEX (4000122454/17/NL/FF/mg). This research was supported by the Action CA17134 SENSECO (Optical synergies for spatiotemporal sensing of scalable ecophysiological traits) funded by COST (European Cooperation in Science and Technology, www.cost.eu).
DOI: 10.5281/zenodo.7040578
title: FloX data for SIF retrieval testing

description: Zip - Folders containing calibrated reflectance, reflected radiance and incoming radiance retrieved from measurements with FloX field spectrometers over Alfalfa and Forage (2018 in Grosseto, Italy), Cover crop (2020 in Julich, Germany) and Oak canopy (2020 in Observatoire de Haute-Provence (OHP), France) during clear sky conditions. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view. In addition, SCOPE simulated full spectral fluorescence and true reflectance are supplied. The data is organized in sub-folders inside the zip-repositories which are named according to the date of recording, containing CSV-files which hold the hyperspecteral information. One file is associated to the integrated full-range (FULL) spectrometer between 340nm and 1000nm, and the fluorescence-range (FLUO) spectrometer between 650nm and 810nm, containing incoming radiance, reflected radiance or reflectance, respectively. The first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m<sup>-2</sup> sr<sup>-1</sup> nm<sup>-1</sup>) or reflectance (unitless) values.
description: Field measurements were carried out under lead management and funding of European Space Agency in the frame of AtmoFLEX (4000122454/17/NL/FF/mg). This research was supported by the Action CA17134 SENSECO (Optical synergies for spatiotemporal sensing of scalable ecophysiological traits) funded by COST (European Cooperation in Science and Technology, www.cost.eu).
DOI: 10.5066/p9j6iuz2
title: USGS National and Global Oil and Gas Assessment Project-Montana Thrust Belt Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered gas resources in the Montana Thrust Belt province in Montana. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.21227/gpkk-4660
title: QAR data

description: This file contains all the MATLAB codes in this paper and an example of QAR data used，At the same time, a detailed instruction of MATLAB code is included in a word document.
DOI: 10.6084/m9.figshare.20795725
title: data for repository(PONE-D-22-16146).xlsx

description: Data from an online-questionnaire survey on attitudes toward COVID-19 vaccination administered to university students at the Hachioji campus, Teikyo University
DOI: 10.5285/d2f2f8e8-8e97-40fb-9207-875563d0fec0
title: BGS Seabed Geology 10k: Anglesey version 1.0

description: The BGS Seabed Geology 10k: Anglesey digital map portrays the distribution of the different types of bedrock and sediments that are interpreted to represent the dominant geology within to the top 1-2 metres of the seabed to the north-west of Anglesey, at a scale of 1:10 000. It also includes the distribution of the main seabed morphological and geomorphological features (e.g. drumlins, sandwaves) and the principal structural features observed at rockhead (fractures).
This digital map is the result of the interpretation of two high-resolution, multibeam echo-sounder (MBES) bathymetry datasets: (i) the Off Skerries HI1420 survey, collected by Net Survey in 2013 as part of the Civil Hydrography Programme (CHP) surveys managed by the Maritime and Coastguard Agency (MCA) for the UK Hydrographic Office; and (ii) the North St George’s Channel candidate Marine Conservation Zone (rMCZ) survey, collected jointly by JNCC and Cefas in 2012 for the Department for Environment, Food and Rural Affairs (Defra). MBES backscatter, physical samples (e.g. grabs, cores, and boreholes), academic papers and previous BGS geological interpretations at broader scales (250k and 50k scales) were used to further inform this geological interpretation. 
The bedrock is divided into three units: (i) Neoproterozoic to Palaeozoic age metamudstones and metasandstones of the Monian Supergroup; (ii) undifferentiated Lower Palaeozoic age rocks (mudstone, volcaniclastics, siltstone, slate); and (iii) limestone and sandstone of the Carboniferous Limestone Supergroup. The superficial deposits are composed of various types of glacial sediments (e.g. glacial till and morainic deposits) that were deposited underneath and around the margins of the last British-Irish Ice Sheet in the area, and also more recently deposited marine sediments.
DOI: 10.34740/kaggle/dsv/4152223
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.20798710
title: climatedata3.xlsx

description: NASA Langley Research POWER dataset on the Akure south climatic data from 1981-2022
DOI: 10.6084/m9.figshare.20798710.v1
title: climatedata3.xlsx

description: NASA Langley Research POWER dataset on the Akure south climatic data from 1981-2022
DOI: 10.5285/5c2b70d069cb467ab73e80b84c3e395a
title: Global ocean lagrangian trajectories based on AVISO velocities, v2.2

description: The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provide 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data. The dataset has global coverage and spans 1998-2019 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information. Version 2.2 is a higher resolution version of V2.0 and also has double value for time variables to permit access via THREDDS
DOI: 10.5285/54d3408edd9e41bca226924754619812
title: HadISDH.marine: gridded global monthly ocean surface humidity data version 1.3.0.2021f

description: This is the HadISDH.marine 1.3.0.2021f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.marine is a near-global gridded monthly mean marine surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships. The observations have been quality controlled and bias-adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2021. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). This version extends the previous version to the end of 2021. Users are advised to read the update document in the Docs section for full details on all changes from the previous release. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of the HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data, 12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020 Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology. doi:10.1002/joc.4775.