cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19345160
title: Supplementary Material for: At the Core of Depression: A Diagnostic Interview of the Core Features of Depression

description: <b><i>Introduction:</i></b> Valid and reliable methods for diagnosing depression are essential. The present study aimed to test the performance of a new diagnostic interview for depression focusing on the core symptoms of depression. <b><i>Method:</i></b> We developed a diagnostic interview for depression: the CORE Diagnostic Interview, CORE-DI, which assesses each of the core features of depression on the four dimensions: quality, reactivity, globality, and fluctuations over time. The diagnostic performance of this interview was tested in a clinical study including 83 individuals presenting with various depressive symptoms, who were interviewed independently (1) by means of the CORE-DI and the Mini-International Neuropsychiatric Interview (M.I.N.I.), and (2) by highly skilled specialists in depression representing gold standard diagnoses. <b><i>Results:</i></b> We compared the outcome of the CORE-DI, the M.I.N.I., and the diagnosis made by clinicians, respectively, versus the gold standard diagnosis, using diagnostic efficiency statistics. The CORE-DI diagnosed depression with a high specificity (0.91, 95% CI: 0.85–0.97, for International Classification of Diseases [ICD]-10 criteria and 0.88, 95% CI: 0.81–0.95, for Diagnostic and Statistical Manual of Mental Disorders [DSM-5] criteria) compared to both M.I.N.I (specificity 0.44, 95% CI: 0.33–0.55) and clinical diagnoses (specificity 0.76, 95% CI: 0.67–0.85). The sensitivity of the CORE-DI was 0.61 (95% CI: 0.55–0.72) for ICD-10 criteria and 0.67 (95% CI: 0.57–0.77) for DSM-5 criteria. <b><i>Discussion/Conclusion:</i></b> The CORE-DI increased the specificity of the depression diagnosis substantially compared to clinical diagnoses and the diagnoses obtained by M.I.N.I. The results point to the usefulness of an elaborated and systematic assessment of the core symptoms in the examination of patients with depressive symptoms and thereby indicate a way for further development of specific diagnostic tools for depression in both clinical and research settings. However, it should be noted that the sensitivity of the CORE-DI was modest, and the psychometric properties of the CORE-DI might be different in other settings with higher or lower prevalence or severity of depressive symptoms.
DOI: 10.5281/zenodo.6346284
title: Hands On Exercise 3: Productions constraints by timeslice

description: Files available in this repository: 1) Default example of MUSE 2) TechnodataTimeslices sheet 3) Final modelled example
DOI: 10.5281/zenodo.6026067
title: Hands On Exercise 3: Productions constraints by timeslice

description: Files available in this repository: 1) Default example of MUSE 2) TechnodataTimeslices sheet 3) Final modelled example
DOI: 10.5281/zenodo.6346324
title: Chemical compositions data for "Space weathering of the Chang'e-5 lunar sample from a mid-high latitude region on the Moon"

description: Data for “Space weathering of the Chang’e-5 lunar sample from a mid-high latitude region on the Moon”
DOI: 10.48370/ofd/lrqqfv/yrpycs
title: 716.S3Dm

description: :unav
DOI: 10.48370/ofd/lrqqfv
title: Peniophorella pubera (Fr.) P. Karst., 716

description: Fungarium Makromycetes
DOI: 10.17037/data.00002776
title: Clinical codelist - Colorectal cancer (ICD-10)

description: ICD-10 code list for colorectal cancer. (study exposure).
DOI: 10.25828/3f2y-wc33
title: Coronavirus Rapid Mobile Survey of Maternal and Child Health 2020
DOI: 10.25828/dw66-w410
title: Hungry Cities Partnership Survey 2016-2019, Nairobi
DOI: 10.5517/ccdc.csd.cc1kl8s6
title: CCDC 1447538: Experimental Crystal Structure Determination

description: Related Article: Cai-Ming Liu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24k25z
title: CCDC 1982610: Experimental Crystal Structure Determination

description: Related Article: CHENGJUN JIANG|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc242r99
title: CCDC 1968850: Experimental Crystal Structure Determination

description: Related Article: B. Dominelli, C. H. G. Jakob, J. Oberkofler, P. J. Fischer, E.- M. Esslinger, R. M. Reich, F. Marques, T. Pinheiro, J. D. G. Correia, F. E. Kühn|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25xgh2
title: CCDC 2023354: Experimental Crystal Structure Determination

description: Related Article: Yong-Gui Zhou, Guang-Shou Feng, Zi-Biao Zhao, Lei Shi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lvm9
title: CCDC 2043911: Experimental Crystal Structure Determination

description: Related Article: In Seob Park, Hyukgi Min, and Takuma Yasuda|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lvnb
title: CCDC 2043912: Experimental Crystal Structure Determination

description: Related Article: In Seob Park, Hyukgi Min, and Takuma Yasuda|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lx3v
title: CCDC 2043957: Experimental Crystal Structure Determination

description: Related Article: Kyohei Hayashi, Noriyasu Kondo, Naoki Omori, Ryo Yoshimoto, Megumi Hato, Shuhei Shigaki, Ayumi Nagasawa, Mana Ito, Takayuki Okuno|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26xhrd
title: CCDC 2053184: Experimental Crystal Structure Determination

description: Related Article: Natalia Loewen, Santanu Pattanayak, Rolfe Herber, James Fettinger, Louise Berben|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26xhtg
title: CCDC 2053186: Experimental Crystal Structure Determination

description: Related Article: Natalia Loewen, Santanu Pattanayak, Rolfe Herber, James Fettinger, Louise Berben|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26xhwj
title: CCDC 2053188: Experimental Crystal Structure Determination

description: Related Article: Natalia Loewen, Santanu Pattanayak, Rolfe Herber, James Fettinger, Louise Berben|2021|CSD Communication|||
DOI: 10.25828/sy2r-y323
title: Cities of Integrity Survey 2020
DOI: 10.17037/data.00002787
title: Clinical Codelist - Acute Kidney Injury (ICD-10)

description: ICD-10 codes for Acute Kidney injury (study outcome).
DOI: 10.6084/m9.figshare.17712038
title: Binning the giant viruses and their close relatives with anvi'o

description: Data availability for the blog post on binning giant viruses and their close relatives with anvi'o.
DOI: 10.6084/m9.figshare.17712038.v1
title: Binning the giant viruses and their close relatives with anvi'o

description: Data availability for the blog post on binning giant viruses and their close relatives with anvi'o.
DOI: 10.5281/zenodo.6346343
title: SABER gravity wave temperature variances for the global monsoon seasons 2016-2020

description: This is a near-global dataset of gravity wave temperature variances at 50km altitude derived from SABER satellite observations using the method described in Ern et al. (2018). It covers the months of JJA and DJF, starting with December 2016, and ending with August 2020. Dimensions: 1 vertical level (z=50km), 37 longitudes, and 37 latitudes. Variables: gravity wave temperature variances
description: ME acknowledges support for this work by the German Federal Ministry of Education and Research (BMBF) grant 01LG1905C (QUBICC, ROMIC). JMF and XZ acknowledge support for this work by NASA Award 80NSSC18K0775 to the University of Colorado under the Heliophysics Guest Investigator Program.
DOI: 10.5281/zenodo.6346342
title: SABER gravity wave temperature variances for the global monsoon seasons 2016-2020

description: This is a near-global dataset of gravity wave temperature variances at 50km altitude derived from SABER satellite observations using the method described in Ern et al. (2018). It covers the months of JJA and DJF, starting with December 2016, and ending with August 2020. Dimensions: 1 vertical level (z=50km), 37 longitudes, and 37 latitudes. Variables: gravity wave temperature variances
description: ME acknowledges support for this work by the German Federal Ministry of Education and Research (BMBF) grant 01LG1905C (QUBICC, ROMIC). JMF and XZ acknowledge support for this work by NASA Award 80NSSC18K0775 to the University of Colorado under the Heliophysics Guest Investigator Program.
DOI: 10.6084/m9.figshare.19345292
title: Raw data from the studies on cell lines.rar

description: This zip file includes all the raw data supporting the findings in the article "Single-cell RNA sequencing reveals hub genes of myocardial infarction-associated endothelial cells" submitted to <i><b>All Life</b></i>.
DOI: 10.17037/data.00002790
title: Clinical codelist - Chronic Kidney Disease (Read)

description: Read code list for chronic kidney disease (covariate). Identify CKD stage 3 and above , based on any of latest eGFR OR the latest staged medcode being (stage 3-5 or a code for nephrotic syndrome) not 1-2 OR ever having had a Read code dialysis or a kidney transplant.
DOI: 10.48370/ofd/akiu6o/5got67
title: 1374_1.S3Dm

description: :unav
DOI: 10.48370/ofd/akiu6o/mtwa7d
title: 1374_2.S3Dm

description: :unav
DOI: 10.48370/ofd/akiu6o
title: Peniophorella pubera (Fr.) P. Karst., 1374

description: Fungarium Makromycetes
DOI: 10.34943/1f7faf0f-ff1c-4b3b-bdd0-edd8cf87a6ec
title: Strait of Georgia Central Fluorometer Turbidity Deployed 2022-03-10

description: The WET Labs ECO FLNTUSB 2473 was deployed on 2022-03-10 at Strait of Georgia Central. Strait of Georgia Central is a central area in the Strait of Georgia. This device is a Fluorometer Turbidity. Fluorometer Turbidity instruments measure chlorophyll fluorescence and turbidity within the same volume of seawater. The instrument uses a light emitting diode (LED) to provide an excitation source. The fluoresced light is received by a detector at a particular angle from the LED source, and uses an interference filter to discriminate against scattered excitation light. Turbidity is measured at the same time, by detecting scattered light from a LED, which is positioned at the same angle as the chlorophyll fluorescence. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.19144529
title: Supplementary Material for: Elevated cystatin-C levels are associated with increased mortality in acute coronary syndrome patients: An HIJ-PROPER Sub-Analysis

description: Background and aims: We investigated the association between serum cystatin-C levels and cardiovascular events in patients with acute coronary syndrome. Methods: Data of 1,100 patients from the prospective parent study were included. Patients hospitalized for acute coronary syndrome were divided into four groups based on quartiles (Q) of cystatin-C levels (mg/L) within 24-hours of admission: Q1, ≤0.82; Q2, 0.821.12. The primary endpoint of this study was all-cause mortality and secondary endpoint was composite of all-cause mortality, non-fatal myocardial infarction, non-fatal stroke, unstable angina pectoris, or ischemia-driven revascularization. Results: During a median observation period of 4.0 years, the primary endpoint was noted in 5, 12, 18, and 36 patients in Q1, Q2, Q3, and Q4, respectively, with corresponding incidence rates of 1.8%, 4.4%, 6.5%, and 13.5%, respectively (p&lt;0.0001 for difference among four groups). This association persisted even after adjusting for patient characteristics and other laboratory results at baseline (p=0.04). A stepwise increase in the incidence rate of the secondary endpoint with an incline in cystatin-C levels was observed in the non-adjusted model (26.6%, 33.3%, 32.3%, and 39.1% in Q1, Q2, Q3, and Q4, respectively; p=0.01), but not in the adjusted model (p=0.3). No difference was observed in the incidence rate of non-fatal myocardial infarction (p=0.89), non-fatal stroke (p=0.3), unstable angina pectoris (p=0.49), and ischemia-driven revascularization (p=0.47) with an incline in cystatin-C levels. Conclusion: Elevated cystatin-C levels were associated with increased all-cause mortality but not cardiovascular events other than mortality in acute coronary syndrome patients.
DOI: 10.6084/m9.figshare.19144529.v1
title: Supplementary Material for: Elevated cystatin-C levels are associated with increased mortality in acute coronary syndrome patients: An HIJ-PROPER Sub-Analysis

description: Background and aims: We investigated the association between serum cystatin-C levels and cardiovascular events in patients with acute coronary syndrome. Methods: Data of 1,100 patients from the prospective parent study were included. Patients hospitalized for acute coronary syndrome were divided into four groups based on quartiles (Q) of cystatin-C levels (mg/L) within 24-hours of admission: Q1, ≤0.82; Q2, 0.821.12. The primary endpoint of this study was all-cause mortality and secondary endpoint was composite of all-cause mortality, non-fatal myocardial infarction, non-fatal stroke, unstable angina pectoris, or ischemia-driven revascularization. Results: During a median observation period of 4.0 years, the primary endpoint was noted in 5, 12, 18, and 36 patients in Q1, Q2, Q3, and Q4, respectively, with corresponding incidence rates of 1.8%, 4.4%, 6.5%, and 13.5%, respectively (p&lt;0.0001 for difference among four groups). This association persisted even after adjusting for patient characteristics and other laboratory results at baseline (p=0.04). A stepwise increase in the incidence rate of the secondary endpoint with an incline in cystatin-C levels was observed in the non-adjusted model (26.6%, 33.3%, 32.3%, and 39.1% in Q1, Q2, Q3, and Q4, respectively; p=0.01), but not in the adjusted model (p=0.3). No difference was observed in the incidence rate of non-fatal myocardial infarction (p=0.89), non-fatal stroke (p=0.3), unstable angina pectoris (p=0.49), and ischemia-driven revascularization (p=0.47) with an incline in cystatin-C levels. Conclusion: Elevated cystatin-C levels were associated with increased all-cause mortality but not cardiovascular events other than mortality in acute coronary syndrome patients.
DOI: 10.17037/data.00002791
title: Clinical codelist - Autoimmune disease (Read)

description: Read code list for autoimmune diseases. Includes ulcerative colitis, Crohn’s disease, coeliac disease, lupus, primary biliary cirrhosis and sarcoidosis. (recategorisation of exposure).
DOI: 10.25828/kjgz-yy35
title: Labour Market Dynamics in South Africa 2019
DOI: 10.48370/ofd/hifmky/xtip7l
title: 1404_1.S3Dm

description: :unav
DOI: 10.48370/ofd/hifmky/qdbqvy
title: 1404_2.S3Dm

description: :unav
DOI: 10.48370/ofd/hifmky
title: Peniophorella pubera (Fr.) P. Karst., 1404

description: Fungarium Makromycetes
DOI: 10.48370/ofd/cpv7pm/indwrt
title: 1646.S3Dm

description: :unav
DOI: 10.48370/ofd/cpv7pm
title: Peniophorella pubera (Fr.) P. Karst., 1646

description: Fungarium Makromycetes
DOI: 10.23729/782793a3-3c4d-4715-9745-f34ea7715802
title: BALTIC wide-angle refraction and reflection profile

description: The deep seismic sounding BALTIC was conducted in 1982 to investigate the crustal structure of the Fennoscandian shield (Luosto et al. 1990). The 560 km (including Kostomuksha shots, main part 430 km) long survey profile runs northeast from the Gulf of Finland to Kostomuksha, Russia. Seismic sources were explosions shot at eight different shot points at sea, in shallow lakes and in a quarry. These shots were recorded by 48 seismic stations along the profile at an average receiver spacing of 2 km. The stations included 36 three-component stations: 16 “MARS 66”, 10 “ASS”, 10 “SN-PCM80” and 12 six-channel stations: 10 “Taiga-2” and 2 “SN-PCM-80”. The profile crosses the Wiborg rapakivi batholith, the Svecokarelian geosynclinal complex and the Archean basement complex in southeastern Finland. Two-dimensional crustal velocity models of the profile have been constructed by a trial-and-error ray tracing method. The model displays variability of 40 to more than 60 km in crustal thickness, the thickest crust being situated in the border region of the Svecofennian and Karelian domains. Three different velocity models are available for the BALTIC profile. The original P-wave velocity model was constructed by Luosto et al. (1990). New P- and S-wave models were published later by Janik (2010). Wide-angle P-wave sections are available from the profile measured at three different orientations. Janik, T. 2010. Upper lithospheric structure in the central Fennoscandian shield: Constraints from P- and S-wave velocity models and VP/VS ratio distribution of the BALTIC wide-angle seismic profile. Acta Geophysica 58: 543–586. Luosto, U., T. Tiira, H. Korhonen, I. Azbel, V. Burmin, A. Buyanov, I. Kosminskaya, V. Ionkis, and N. Sharov, 1990. Crust and upper mantle structure along the DSS Baltic profile in SE Finland. Geophysical Journal International 101: 89–110.
DOI: 10.23729/0db3cba6-d1eb-42b4-91b9-d2caf971182d
title: FENNIA wide-angle refraction and reflection profile

description: The FENNIA deep seismic sounding survey was carried out in the May of 1994 in Southern Finland (FENNIA Working Group 1998). The 330 km long profile is oriented from south to north and runs through the Svecofennian lithological units of the late orogenic migmatite, metasedimentary and metavolcanic belts of Southern Finland and the synorogenic Central Finland Granitoid Complex. Seismic refraction measurements were made by recording large explosions from six shot points with spacings of 60 to 80 km. 50 three-component seismic stations were deployed in three separate groupings during the experiment, equaling to 150 different station positions. Trial-and-error ray tracing method was used to obtain a two-dimensional crustal P-wave velocity model in 1998. The model shows thick crust (57 to 61 km Moho depth) in northern and central parts followed by an abrupt thinning of the crust to 48 km depth at the southern end of the profile. The seismic data was reprocessed in 2007 to address the inconsistencies in Moho depth data acquired by wide-angle, receiver function and reflection data. This yielded new two-dimensional P- and S-wave velocity models for the FENNIA profile obtained by similar ray tracing methods. The three available velocity models of the FENNIA profile were modeled by FENNIA Working Group (1998) and Janik et al. (2007). Wide-angle sections of three different seismic measurement axes are available for the FENNIA profile. FENNIA Working Group, 1998. P- and S-velocity structure of the Baltic Shield beneath the FENNIA profile in southern Finland. University of Helsinki, Institute of Seismology, Report S-38. Janik, T., E. Kozlovskaya, and J. Yliniemi, 2007. Crust-mantle boundary in the central Fennoscandian shield: Constraints from wide-angle P and S wave velocity models and new results of reflection profiling in Finland. Journal of Geophysical Research: Solid Earth 112.
DOI: 10.6084/m9.figshare.19345319
title: The role of reservoir species in mediating Plague’s dynamic response to climate - Reservoir Species Data

description: This data is a collection of plague reservoir species occurrences downloaded from GBIF and used in my thesis. The only speceis uploaded are the speceis retained after speceis with less than 10 occurence were removed following spatial thinning (0.5°)
DOI: 10.6084/m9.figshare.19345319.v1
title: The role of reservoir species in mediating Plague’s dynamic response to climate - Reservoir Species Data

description: This data is a collection of plague reservoir species occurrences downloaded from GBIF and used in my thesis. The only speceis uploaded are the speceis retained after speceis with less than 10 occurence were removed following spatial thinning (0.5°)
DOI: 10.17037/data.00002765
title: Clinical codelist - Major colorectal surgery (OPCS)

description: OPCS codes for code for major colorectal surgery (covariate).
DOI: 10.23729/7dc49d32-382c-42f0-9940-816448170d36
title: Kuusamo wide-angle refraction and reflection survey

description: The Kuusamo seismic profiles are a collection of seismic P-wave velocity models obtained from multiple seismic experiments and published by Uski et al. (2012). The 10 profiles run mostly in the Archean Karelian bedrock in Northeastern Finland. In profiles 1, 2, 4 and 5, the recording was done by the Kuusamo seismic network and the nearest permanent stations MSF, SGF, OUL and KJN in 2003-2007. Profile 3 was recorded by broad-band stations of the SVEKALAPKO experiment seismic network in 1998-1999. Profiles 1-5 used local earthquakes and explosions as sources. The comparatively low number (11-26 stations) and geometry of the stations in profiles 1-5 limited the spatial resolution of the data. The remaining profiles 6-10 were older data from refraction experiments from the 1980s and 1990s. These profiles used military explosions and industrial explosions from mines and quarries as seismic sources. The distribution and density of data was better in profiles 6-10 due to larger number of stations (43-111 stations) and dense linear geometry (3-6 km average station spacing). Two-dimensional crustal P-wave velocity models constructed by Uski et al. (2012) are available for all the 10 profiles. Profiles 1-5 show less detailed velocity structure and have larger uncertainties in velocities and boundary depths because of the large data spacing. In profiles 6-10, the velocities and boundary depths are better constrained. Wide-angle sections are not available for the Kuusamo data. Uski, M., T. Tiira, M. Grad, and J. Yliniemi, 2012. Crustal seismic structure and depth distribution of earthquakes in the Archean Kuusamo region, Fennoscandian Shield. Journal of Geodynamics 53: 61–80.
DOI: 10.23729/30356f10-2e28-47d3-9e77-2f01f80a9207
title: POLAR wide-angle refraction and reflection profile

description: The deep seismic sounding experiment POLAR was conducted in the northern Finland and Norway in August 1985 to investigate the crustal structure, composition and development of Precambrian crust in northern Fennoscandia (Luosto et al. 1989). Seismic wide-angle measurements were made along a 440 km long profile by recording large explosions at six shot points and smaller explosions at three shot points. The events were recorded using 42 portable seismic instruments used in five deployments to cover 210 receiver positions at average spacings of 2 km. The profile transects the Central Lapland complex, Karasjok-Kittilä greenstone belt, Lapland granulite belt, Kola province and Mesoproterozoic units of Varanger peninsula. Two-dimensional crustal P- and S-wave velocity models are available from the profile. The models were obtained using a trial-and-error ray tracing method. The original P-wave model was built by Luosto et al. (1989) and new P- and S-wave models were obtained by Janik et al. (2009) through reprocessing and analysis of the original data. The velocity models show high velocity bodies in the upper crust beneath the Karasjok-Kittilä greenstone belt and the Lapland granulite belt, and lower upper crustal velocities beneath the Kola province. The newer models are characterized by more lateral variations in velocity and more complicated velocity structure. Wide-angle sections of three different seismic measurement axes are also available for the POLAR profile (Luosto et al. 1989). Janik, T., E. Kozlovskaya, P. Heikkinen, J. Yliniemi, and H. Silvennoinen, 2009. Evidence for preservation of crustal root beneath the Proterozoic Lapland-Kola orogen (northern Fennoscandian shield) derived from P and S wave velocity models of POLAR and HUKKA wide-angle reflection and refraction profiles and FIRE4 reflection transect. Journal of Geophysical Research: Solid Earth 114. Luosto, U., E. Flueh, and C.-E. Lund, 1989. The crustal structure along the POLAR Profile from seismic refraction investigations. Tectonophysics 162: 51–85.