cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4730185
title: Adhesive_Chain_Extension_WP5_Dataset_5-1

description: ABSTRACT Polyurethanes are often produced by reacting a hydroxylated prepolymer with isocyanate crosslinkers. In order to obtain the prepolymer, a macrodiol is reacted with diisocyanate via the addition reaction between OH and NCO functional groups, so called chain-extension. During the experiments, two specific macrodiols were chain extended with two conventional diisocyanates as described in the proceedings article “Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols” Sandra Mačiulytė, Antanas Strakšys, S. Asadauskas<em>, Proc. “Baltic Polymer Symposium 2019”, </em>pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463 . Additional values of isocyanate concentrations, which were measured during kinetic studies of the chain extension, are provided.
description: DATASET This dataset contains the spreadsheet with the measured isocyanate concentrations along with the description of the procedures and metadata. This information is provided in the "Adhesive_Chain_Extension_WP5_Dataset_5-1.zip " file, which contains 3 compressed files: The spreadsheet file " Adhesive_Chain_Extension_WP5_Dataset_5-1.xls " contains measured NCO values, including those used for the figure Figure 1 in the proceedings article "Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols" Sandra Mačiulytė, Antanas Strakšys, S. Asadauskas, Proc. "Baltic Polymer Symposium 2019", pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463 . Each sheet in the spreadsheet file represents the data for specific diisocyanate at different temperatures. The " Adhesive_Chain_Extension_WP5_Dataset_5-1_Experimental.pdf " file details the materials and experimental methods for the measurement of NCO values. Guidance is also provided on how to run the experiments in other laboratories. The " Adhesive_Chain_Extension_WP5_Dataset_5-1_Metadata.pdf " provides more detailed metadata information for this dataset.
description: {"references": ["\"Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols\" Sandra Ma\u010diulyt\u0117, Antanas Strak\u0161ys, S. Asadauskas, Proc. \"Baltic Polymer Symposium 2019\", pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463"]}
DOI: 10.6084/m9.figshare.13102691.v2
title: COI-all sequences DB

description: MARE MAGE database coi gene all sequences subdatabase<br>
DOI: 10.6084/m9.figshare.13102697.v1
title: COI- Complete gene DB

description: database MARE MAGE, COI complete gene sub database<br>
DOI: 10.6084/m9.figshare.13102694.v2
title: COI-90DB

description: database MARE MAGE, the subdatabase 90 % confidency of COI gene<br>
DOI: 10.15468/hdsck8
title: Checklist Dutch Caribbean Species Register
DOI: 10.6084/m9.figshare.14534070
title: Supplementary Material for: Slower Decline in Processing Speed Is Associated with Familial Longevity

description: <b><i>Introduction:</i></b> Cross-sectional analyses have associated familial longevity with better cognitive function and lower risk of cognitive impairment in comparison with individuals without familial longevity. The extent to which long-lived families also demonstrate slower rates of cognitive aging (i.e., change in cognition over time) is unknown. This study examined longitudinally collected data among 2 generations of the Long Life Family Study (LLFS) to compare rates of cognitive change across relatives and spouse controls. <b><i>Methods:</i></b> We analyzed change in 6 neuropsychological test scores collected approximately 8 years apart among LLFS family members (<i>n</i> = 3,972) versus spouse controls (<i>n</i> = 1,092) using a Bayesian hierarchical model that included age, years of follow-up, sex, education, generation, and field center and all possible pairwise interactions. <b><i>Results:</i></b> At a mean age of 88 years at enrollment in the older generation and 60 years in the younger generation, LLFS family members performed better than their spouses on the Digit Symbol Substitution Test (DSST) and the Logical Memory test. At follow-up, family members in the younger generation also showed slower decline than spouses on the DSST, whereas rates of change of Digit Span, fluency, and memory were similar between the 2 groups. <b><i>Discussion/Conclusion:</i></b> Individuals in families with longevity appear to have better cognitive performance than their spouses for cognitive processes including psychomotor processing, episodic memory, and retrieval. Additionally, they demonstrate longer cognitive health spans with a slower decline on a multifactorial test of processing speed, a task requiring the integration of processes including organized visual search, working and incidental memory, and graphomotor ability. Long-lived families may be a valuable cohort for studying resilience to cognitive aging.
DOI: 10.6084/m9.figshare.14534076
title: Supplementary Material for: Clinical Characteristics of Chinese Male Patients with Aquaporin-4 Antibody-Positive Late-Onset Neuromyelitis Optica Spectrum Disorder

description: <b><i>Background and Objective:</i></b> Limited studies are available for male patients with anti-aquaporin-4 antibody (AQP4-Ab)-positive late-onset neuromyelitis optica spectrum disease (LONMOSD). The aim of this study was to investigate the clinical characteristics of Chinese male patients with AQP4-Ab-positive LONMOSD. <b><i>Methods:</i></b> We retrospectively reviewed the medical records of 12 male patients with LONMOSD, 16 male patients with early-onset NMOSD (EONMOSD), and 64 female patients with LONMOSD. These enrolled patients were classified according to the age of onset: LONMOSD (≥50 years of age at onset) versus EONMOSD (&lt;50 years of age at onset). Clinical characteristics and magnetic resonance imaging (MRI) findings were collected. All included patients were positive for AQP4 antibody. <b><i>Results:</i></b> Compared with female LONMOSD patients, male LONMOSD patients had less frequent transverse myelitis (TM) at onset (8.33 vs. 53.13%, <i>p</i> = 0.004) and lower Expanded Disability Status Scale (EDSS) scores (median 1 vs. 4, <i>p</i> = 0.036). Compared with male EONMOSD patients, male LONMOSD patients had a shorter time from onset to diagnosis (0.85 months vs. 6.00 months, <i>p</i> = 0.04). <b><i>Conclusion:</i></b> Less common TM at onset, less disease severity, and shorter time from onset to diagnosis probably occur in male LONMOSD patients.
DOI: 10.5517/ccdc.csd.ccwr4wm
title: CCDC 826611: Experimental Crystal Structure Determination

description: Related Article: Elif Gungor|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21cjts
title: CCDC 1887925: Experimental Crystal Structure Determination

description: Related Article: Chunshuai Huang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21cjvt
title: CCDC 1887926: Experimental Crystal Structure Determination

description: Related Article: Chunshuai Huang|2021|CSD Communication|||
DOI: 10.15161/oar.it/73763
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14534601.v1
title: AEBP2_final.bw

description: Chipseq AEBP2 bigwig
DOI: 10.6084/m9.figshare.14534601
title: AEBP2_final.bw

description: Chipseq AEBP2 bigwig
DOI: 10.6084/m9.figshare.14534646
title: ZIC2_final.bw

description: bigwig zic2<br>
DOI: 10.6084/m9.figshare.14534646.v1
title: ZIC2_final.bw

description: bigwig zic2<br>
DOI: 10.6084/m9.figshare.14534673
title: Oct_4_final.bw

description: oct4 bigwig<br>
DOI: 10.6084/m9.figshare.14534673.v1
title: Oct_4_final.bw

description: oct4 bigwig<br>
DOI: 10.6084/m9.figshare.14534658
title: PCGF6_final.bw

description: pcgf6 bigwig<br>
DOI: 10.6084/m9.figshare.14534658.v1
title: PCGF6_final.bw

description: pcgf6 bigwig<br>
DOI: 10.6084/m9.figshare.14534676
title: PCGF2_final.bw

description: pcgf2 bigwig<br>
DOI: 10.6084/m9.figshare.14534676.v1
title: PCGF2_final.bw

description: pcgf2 bigwig<br>
DOI: 10.6084/m9.figshare.14534667
title: Otx2_final.bw

description: otx2 bigwig<br>
DOI: 10.6084/m9.figshare.14534667.v1
title: Otx2_final.bw

description: otx2 bigwig<br>
DOI: 10.20375/0000-000e-0f81-0
title: 2010_Gazprom_Additional Agreement_2_to SECA 2007-2011_22.12.2010.pdf
DOI: 10.20375/0000-000e-0f82-f
title: 2010_Lukoil_SECA_2010-2014_02.12.2010.pdf
DOI: 10.20375/0000-000e-0f83-e
title: 2011_1_Gazprom Neft_SECA_2011-2014_11.02.2011.pdf
DOI: 10.20375/0000-000e-0f84-d
title: 2011_2_Gazprom Neft_Additional Agreement_ to SECA 2011-2014_22.03.2011.pdf
DOI: 10.20375/0000-000e-0f85-c
title: 2011_Additional Agreement_1_to Six-Party Agreement_17.02.2011.pdf
DOI: 10.20375/0000-000e-0f86-b
title: 2011_Additional Agreement_2_to Six-Party Agreement_21.06.2011.pdf
DOI: 10.20375/0000-000e-0f87-a
title: 2011_Gazprom_SECA_2011-2013_22.02.2011.pdf
DOI: 10.20375/0000-000e-0f88-9
title: 2011_Lukoil_Additional Agreement_2_to SECA 2010-2014_18.11.2011.pdf
DOI: 10.20375/0000-000e-0f89-8
title: 2011_Russneft_Additional Agreement_to SECA 2010_31.01.2011.pdf
DOI: 10.20375/0000-000e-0f8a-7
title: 2011_Salym Petroleum_Additional Agreement_1_to SECA 2010_19.01.2011.pdf
DOI: 10.20375/0000-000e-0f8b-6
title: 2011_Sibur_SECA_2011-2014_11.02.2011.pdf
DOI: 10.20375/0000-000e-0f8c-5
title: 2011_Slavneft_SECA 2011-2013_11.02.2011.pdf
DOI: 10.20375/0000-000e-0f8d-4
title: 2012_1_Gazprom Neft_Additional Agreement_3_to SECA 2011-2014_19.01.2012.pdf
DOI: 10.20375/0000-000e-0f8e-3
title: 2012_1_Lukoil_Additional Agreement_4_to SECA 2010-2014_29.02.2012.pdf
DOI: 10.20375/0000-000e-0f8f-2
title: 2012_1_Russneft_SECA_2013-2015_22.12.2012.pdf
DOI: 10.20375/0000-000e-0f90-f
title: 2012_2_Gazprom Neft_Additional Agreement_4_to SECA 2011-2014_05.05.2012.pdf
DOI: 10.20375/0000-000e-0f91-e
title: 2012_2_Lukoil_Additional Agreement_5_to SECA 2010-2014_27.07.2012.pdf
DOI: 10.20375/0000-000e-0f92-d
title: 2012_2_Russneft_Additional Agreement_1_to SECA 2013-2015_29.12.2012.pdf
DOI: 10.20375/0000-000e-0f93-c
title: 2012_3_Gazprom Neft_SECA_2012-2016_14.12.2012.pdf
DOI: 10.20375/0000-000e-0f94-b
title: 2012_Gazprom_Additional Agreement_2_to SECA 2011-2013_31.10.2012.pdf
DOI: 10.20375/0000-000e-0f95-a
title: 2012_Sibur_Additional Agreement_2_to SECA 2011-2014_26.04.2012.pdf
DOI: 10.20375/0000-000e-0f96-9
title: 2012_Slavneft_Additional Agreement_1_to SECA 2011-2013_21.01.2012.pdf
DOI: 10.20375/0000-000e-0f97-8
title: 2012_Surgutneftegaz_Additional Agreement_2_to SECA 2010-2014_14.12.2012.pdf
DOI: 10.20375/0000-000e-0f98-7
title: 2013_1_Gazprom_Additional Agreement_3_to SECA 2011-2013_27.12.2013.pdf
DOI: 10.20375/0000-000e-0f99-6
title: 2013_1_Lukoil_Additional Agreement_6_to SECA 2010-2014_01.02.2013.pdf
DOI: 10.20375/0000-000e-0f9a-5
title: 2013_2_Gazprom_SECA_2014-2018_27.12.2013.pdf
DOI: 10.20375/0000-000e-0f9b-4
title: 2013_2_Lukoil_Additional Agreement_7_to SECA 2010-2014_19.02.2013.pdf
DOI: 10.20375/0000-000e-0f9c-3
title: 2013_3_Lukoil_Additional Agreement_9_to SECA 2010-2014_09.09.2013.pdf
DOI: 10.20375/0000-000e-0f9d-2
title: 2013_4_Lukoil_SECA_2013-2018_06.11.2013.pdf
DOI: 10.20375/0000-000e-0f9e-1
title: 2013_5__Lukoil_Additional Agreement_10_to SECA 2010-2014_18.11.2013.pdf
DOI: 10.20375/0000-000e-0f9f-0
title: 2013_6_Lukoil_Additional Agreement_11_to SECA 2010-2014_27.12.2013.pdf
DOI: 10.20375/0000-000e-0fa0-d
title: 2013_Rosneft_Additional Agreement_2_to SECA 2010_25.01.2013.pdf
DOI: 10.20375/0000-000e-0fa1-c
title: 2013_Russneft_Additional Agreement_2_to SECA 2013-2015_09.12.2013.pdf
DOI: 10.20375/0000-000e-0fa2-b
title: 2013_Salym Petroleum_SECA 2014-2014_07.06.2013.pdf
DOI: 10.20375/0000-000e-0fa3-a
title: 2013_Slavneft_Additional Agreement_2_to SECA 2011-2013_13.03.2013.pdf
DOI: 10.20375/0000-000e-0fa4-9
title: 2014_1_Lukoil_Additional Agreement_12_to SECA 2010-2014_20.06.2014.pdf
DOI: 10.20375/0000-000e-0fa5-8
title: 2014_1_Rosneft_SECA_2014-2018_23.05.2014.pdf
DOI: 10.20375/0000-000e-0fa6-7
title: 2014_1_Surgutneftegaz_SECA 2014-2018_01.05.2012.pdf
DOI: 10.20375/0000-000e-0fa7-6
title: 2014_2_Lukoil_Additional Agreement_1_to SECA 2013-2018_20.06.2014.pdf
DOI: 10.20375/0000-000e-0fa8-5
title: 2014_2_Rosneft_Additional Agreement_1_to SECA 2014-2018_16.09.2014.pdf
DOI: 10.20375/0000-000e-0fa9-4
title: 2014_2_Surgutneftegaz_Additional Agreement_1_to SECA 2014-2018_18.08.2014.pdf
DOI: 10.20375/0000-000e-0faa-3
title: 2014_3_Lukoil_Additional Agreement_2_to SECA 2013-2018_09.07.2014.pdf
DOI: 10.20375/0000-000e-0fab-2
title: 2014_Sibur_Additional Agreement_3_to SECA 2011-2014_04.04.2014.pdf
DOI: 10.20375/0000-000e-0fac-1
title: 2015_1_Lukoil_Additional Agreement_4_to SECA 2013-2018_10.02.2015.pdf
DOI: 10.20375/0000-000e-0fad-0
title: 2015_2_Lukoil_Additional Agreement_5_to SECA 2013-2018_30.04.2015.pdf
DOI: 10.20375/0000-000e-0fae-f
title: 2015_3_Lukoil_Additional Agreement_14_to SECA 2010-2014_01.07.2015.pdf
DOI: 10.20375/0000-000e-0faf-e
title: 2015_Additional Agreement_4_to Six-Party Agreement_22.04.2015.pdf
DOI: 10.20375/0000-000e-0fb0-b
title: 2015_Gazprom Neft_Agreement on Import Substitution_16.04.2015.pdf
DOI: 10.20375/0000-000e-0fb1-a
title: 2015_Rosneft_Additional Agreement_2_to SECA 2014-2018_18.06.2015.pdf
DOI: 10.20375/0000-000e-0fb2-9
title: 2015_Salym Petroleum_Additional Agreement_2_to SECA 2014-2014_29.05.2015.pdf
DOI: 10.20375/0000-000e-0fb3-8
title: 2015_Sibur_Additional Agreement_4_to SECA 2011-2014_17.07.2015.pdf
DOI: 10.20375/0000-000e-0fb4-7
title: 2015_Slavneft_Additional Agreement_4_to SECA 2011-2013_16.06.2015.pdf
DOI: 10.20375/0000-000e-0fb5-6
title: 2015_Surgutneftegaz_Additional Agreement_3_to SECA 2014-2018_2015.pdf
DOI: 10.20375/0000-000e-0fb6-5
title: 2016_1_Lukoil_Additional Agreement_7_to SECA 2013-2018_27.01.2016.pdf
DOI: 10.20375/0000-000e-0fb7-4
title: 2016_1_Surgutneftegaz_Additional Agreement_5_to SECA 2014-2018_2016.pdf
DOI: 10.20375/0000-000e-0fb8-3
title: 2016_2_Lukoil_Additional Agreement_8_to SECA 2013-2018_01.04.2016.pdf
DOI: 10.20375/0000-000e-0fb9-2
title: 2016_2_Surgutneftegaz_Additional Agreement_6_to SECA 2014-2018_03.06.2016.pdf
DOI: 10.20375/0000-000e-0fba-1
title: 2016_3_Lukoil_Additional Agreement_15_to SECA 2010-2014_01.04.2016.pdf
DOI: 10.20375/0000-000e-0fbb-0
title: 2016_4_Lukoil_Additional Agreement_9_to SECA 2013-2018_22.06.2016.pdf
DOI: 10.20375/0000-000e-0fbc-f
title: 2016_5_Lukoil_Additional Agreement_11_to SECA 2013-2018_16.12.2016.pdf
DOI: 10.20375/0000-000e-0fbd-e
title: 2016_6_Lukoil_2015 Implementation Protocol_to SECA 2013-2018.pdf
DOI: 10.20375/0000-000e-0fbe-d
title: 2016_Gazprom Neft_SECA_2016-2019_16.06.2016.pdf
DOI: 10.20375/0000-000e-0fbf-c
title: 2016_Russneft_Additional Agreement_4_to SECA 2013-2015_10.06.2016.pdf
DOI: 10.20375/0000-000e-0fc0-9
title: 2016_Slavneft_SECA 2016-2018_11.02.2016.pdf
DOI: 10.20375/0000-000e-0fc1-8
title: 2017_1_Gazprom Neft_Additional Agreement_2_to SECA 2016-2019_27.02.2017.pdf
DOI: 10.20375/0000-000e-0fc2-7
title: 2017_1_Lukoil_Additional Agreement_12_to SECA 2013-2018_30.01.2017.pdf
DOI: 10.20375/0000-000e-0fc3-6
title: 2017_1_Lukoil_Additional Agreement_12_to SECA 2013-2018_30.01.2017.pdf
DOI: 10.20375/0000-000e-0fc4-5
title: 2017_1_Surgutneftegaz_Additional Agreement_8_to SECA 2014-2018_06.06.2017.pdf
DOI: 10.20375/0000-000e-0fc5-4
title: 2017_2_Gazprom Neft_Additional Agreement_3_to SECA 2016-2019_31.08.2017.pdf
DOI: 10.20375/0000-000e-0fc6-3
title: 2017_2_Lukoil_Additional Agreement_13_to SECA 2013-2018_31.05.2017.pdf
DOI: 10.20375/0000-000e-0fc7-2
title: 2017_2_Surgutneftegaz_Additional Agreement_9_to SECA 2014-2018_01.11.2017.pdf
DOI: 10.20375/0000-000e-0fc8-1
title: 2017_3_Gazprom Neft_Additional Agreement_4_to SECA 2016-2019_08.09.2017.pdf
DOI: 10.20375/0000-000e-0fc9-0
title: 2017_3_Lukoil_Additional Agreement_14_to SECA 2013-2018_30.06.2017.pdf
DOI: 10.20375/0000-000e-0fca-f
title: 2017_Russneft_Additional Agreement_5_to SECA 2013-2015_30.06.2017.pdf
DOI: 10.20375/0000-000e-0fcb-e
title: 2017_Salym Petroleum_Additional Agreement_5_to SECA 2014-2014_18.08.2017.pdf
DOI: 10.20375/0000-000e-0fcc-d
title: 2017_Sibur_Additional Agreement_1_to SECA 2016-2020_25.04.2017.pdf
DOI: 10.20375/0000-000e-0fcd-c
title: 2017_Slavneft_Additional Agreement_1_to SECA 2016-2018_07.04.2017.pdf
DOI: 10.20375/0000-000e-0fce-b
title: 2018_1_Gazprom Neft_Additional Agreement_5_to SECA 2016-2019_16.02.2018.pdf
DOI: 10.5281/zenodo.4736810
title: Machine Learning for Solid Solutions

description: Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solutions.
DOI: 10.20375/0000-000e-0fcf-a
title: 2018_1_Lukoil_Additional Agreement_16_to SECA 2013-2018_13.03.2018.pdf
DOI: 10.5281/zenodo.4736809
title: Machine Learning for Solid Solutions

description: Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solutions.
DOI: 10.20375/0000-000e-0fd0-7
title: 2018_1_Rosneft_Additional Agreement_6_to SECA 2014-2018_11.05.2018.pdf
DOI: 10.20375/0000-000e-0fd1-6
title: 2018_2_Gazprom Neft_Memorandum_KhMAO_Minprotorg_three-party agreement_25.05.2018.pdf
DOI: 10.20375/0000-000e-0fd2-5
title: 2018_2_Lukoil_Additional Agreement_17_to SECA 2013-2018_29.06.2018.pdf
DOI: 10.20375/0000-000e-0fd3-4
title: 2018_2_Rosneft_Additional Agreement_7_to SECA 2014-2018_25.05.2018.pdf
DOI: 10.20375/0000-000e-0fd4-3
title: 2018_3_Lukoil_Additional Agreement_18_to SECA 2013-2018_07.09.2018.pdf
DOI: 10.20375/0000-000e-0fd5-2
title: 2018_Russneft_Additional Agreement_6_to SECA 2013-2015_02.03.2018.pdf
DOI: 10.20375/0000-000e-0fd6-1
title: 2018_Salym Petroleum_SECA 2019-2023_05.09.2018.pdf
DOI: 10.20375/0000-000e-0fd7-0
title: 2018_Surgutneftegaz_Additional Agreement_10_to SECA 2014-2018_27.04.2018.pdf
DOI: 10.20375/0000-000e-0fd8-f
title: 2019_1_Lukoil_SECA_2019-2023_29.01.2019.pdf
DOI: 10.20375/0000-000e-0fd9-e
title: 2019_1_Lukoil_SECA_2019-2023_29.01.2019.pdf
DOI: 10.20375/0000-000e-0fda-d
title: 2019_1_Sibur_Additional Agreement_2_to SECA 2016-2020_22.02.2019.pdf
DOI: 10.20375/0000-000e-0fdb-c
title: 2019_1_Slavneft_SECA 2020-2024_01.11.2019.pdf
DOI: 10.20375/0000-000e-0fdc-b
title: 2019_1_Surgutneftegaz_SECA 2019-2023_14.06.2019.pdf
DOI: 10.20375/0000-000e-0fdd-a
title: 2019_2_Lukoil_Additional Agreement_1_to SECA 2019-2023_13.06.2019.pdf
DOI: 10.20375/0000-000e-0fde-9
title: 2019_2_Sibur_Additional Agreement_3_to SECA 2016-2020_07.06.2019.pdf
DOI: 10.20375/0000-000e-0fdf-8
title: 2019_2_Slavneft_Additional Agreement_1_to SECA 2020-2024_17.12.2019.pdf
DOI: 10.20375/0000-000e-0fe0-5
title: 2019_2_Surgutneftegaz_Additional Agreement_1_to SECA 2019-2023_08.10.2019.pdf
DOI: 10.20375/0000-000e-0fe1-4
title: 2019_3_Lukoil_Additional Agreement_2_to SECA 2019-2023_29.11.2019.pdf
DOI: 10.20375/0000-000e-0fe2-3
title: 2019_4_Lukoil_Additional Agreement_3_to SECA 2019-2023_29.11.2019.pdf
DOI: 10.20375/0000-000e-0fe3-2
title: 2019_5_Lukoil_Agreement_KhMAO_Minsport_three-party agreement_20.12.2019.pdf
DOI: 10.20375/0000-000e-0fe4-1
title: 2019_Gazprom Neft_Additional Agreement_7_to SECA 2016-2019_01.03.2019.pdf
DOI: 10.20375/0000-000e-0fe5-0
title: 2019_Gazprom_SECA 2019-2023_15.01.2019.pdf
DOI: 10.20375/0000-000e-0fe6-f
title: 2019_Rosneft_SECA 2019-2023_07.06.2019.pdf
DOI: 10.20375/0000-000e-0fe7-e
title: 2019_Russneft_Additional Agreement_7_to SECA 2013-2015_04.02.2019.pdf
DOI: 10.20375/0000-000e-0fe8-d
title: 2019_Transneft_SECA 2019-2023_11.04.2019.pdf
DOI: 10.20375/0000-000e-0fe9-c
title: Data Set description_State-Business Relations in Russia’s Regions.pdf
DOI: 10.20375/0000-000e-0fea-b
title: Overview_Analysis_SECAs, AAs and other contracts.xlsx
DOI: 10.20375/0000-000e-0feb-a
title: Overview of documents.xlsx
DOI: 10.20375/0000-000e-0fec-9
title: TNK-BP_2013_merged with Rosneft in 2013_AA to SECA 2010_FOR COMPARISON_2012-2013-2014 by Rosneft.pdf
DOI: 10.48320/066142c8-fd21-4fd4-8200-ffe78e6b8561
title: Socio-Economic Cooperation Agreements and State-Business Relations in Russia’s Regions
DOI: 10.5281/zenodo.4736866
title: ALbert Perez data set

description: TF-Target-Lipid interactome
DOI: 10.5281/zenodo.4736865
title: ALbert Perez data set

description: TF-Target-Lipid interactome
DOI: 10.25326/222
title: Cloud mask derived from airborne HAMP Cloud Radar measurements during the EUREC4A field campaign.

description: The HAMP Radar cloud mask uses radar reflectivities measured by the cloud radar, which is part of the HALO Microwave Package (HAMP). The radar was operated in a near-nadir-viewing configuration. For detailed information see Mech et al. (2014) and Ewald et al. (2019).

The reflectivity data is analyzed at a 1 Hz time interval and with 30 m vertical resolution. Reflectivity data are first filtered for clutter. Any signal above the noise level at 200 m above sea level or higher, is considered a possible cloud. Signals originating from object of at least four contiguous pixels are classified as "most likely" a cloud, otherwise it is "probably" a cloud signal.
DOI: 10.25326/223
title: Cloud mask derived from airborne HAMP Microwave Radiometer measurements during the EUREC4A field campaign

description: The HAMP Microwave Radiometer (MWR) cloud mask is based on thresholding liquid water path (LWP) retrievals. The MWR is part of the near-nadir-pointing HALO Microwave Package (HAMP) which is described in detail by Mech et al. (2014). The LWP retrieval is based on the warm microwave emission signal by the clouds over the radiatively cold ocean surface as described by Jacob et al. (2019). The LWP observations have a 1 s temporal resolution and are representative for a footprint of about 1 km. A scene is considered "probably" and "most likely" cloudy if the LWP exceeds 20 g/m², respectively, 30 g/m².  These thresholds correspond to (about) two to three times the clear-sky retrieval uncertainty, respectively.
DOI: 10.17638/datacat.liverpool.ac.uk/1279
title: SARS-CoV-2 infection outcomes
DOI: 10.6084/m9.figshare.14534820
title: Max_final.bw

description: max bigwig<br>
DOI: 10.6084/m9.figshare.14534820.v1
title: Max_final.bw

description: max bigwig<br>
DOI: 10.5281/zenodo.4733647
title: Classes of errors in DOI names: output dataset

description: This dataset contains a seven-column CSV file, where the first column ("Valid_citing_DOI") contains the DOI of a citing entity retrieved in Crossref, the second column ("Invalid_cited_DOI") contains the invalid DOI of a cited entity identified by looking at the field "reference" in the JSON document returned by querying the Crossref API with the citing DOI, and the third column ("Valid_DOI"), contains the corrected DOI if it has been identified, an empty string otherwhise. Finally, the last four columns ("Already_valid", "Prefix_error", "Suffix_error", "Other-type_error"), contain a 1 if the error in the DOI was related to that class, 0 otherwise. The citations to invalid DOIs have been retrieved from <em>Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI</em> (Peroni, S. 2021), while the valid DOI names and the related classes of errors are the result of a process described in <em>Cleaning different types of DOI errors found in cited references on Crossref using automated methods</em>, by the same authors of this the dataset.
description: {"references": ["Peroni, Silvio. (2021). Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4625300"]}