cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/drr-ec1-h86
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16572024.v1
title: Additional file 4 of Oncogene Concatenated Enriched Amplicon Nanopore Sequencing for rapid, accurate, and affordable somatic mutation detection

description: Additional file 4 SRA accessions - Detailed list of SRA accessions
DOI: 10.17632/s8mh8wxtgf
title: Data for: Facies, phosphate, and fossil preservation potential across a Lower Cambrian carbonate shelf, Arrowie Basin, South Australia

description: This datasheet contains the raw abundance of small shelly fossil faunas from a lower Cambrian carbonate succession in the Arrowie Basin (MOG section; see Betts et al. 2014, 2017). In total, 3,936 individual skeletal elements from 45 taxa and 67 samples were picked from acid residues from the MOG section. A total of 57 oriented rock samples were also collected and from this 12 microfacies identified. Using microfacies in concert with field observations, we interpret 6 depositional Facies Sequences (FS).
DOI: 10.3535/d71-nhj-p0x
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f9h-4ka-dpe
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3079686/2541542
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/ddv-z4e-c6h
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p44-cwe-04y
title: Helicodromites isp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/w8f33nv5k9
title: From Phenotype to Molecules: Unveiling the Genetic and Immunological Bridges Between Autoimmune Diseases and Vitiligo

description: This study investigates the causal relationships between 21 autoimmune diseases and Vitiligo through Mendelian randomization analysis, identifying causal associations with seven autoimmune diseases.
DOI: 10.3535/1ps-92q-nyd
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/277-kvg-99g
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20285808.v4
title: Dataset of Urban Hotels ReviewsHotel Reviews

description: Data were collected from a hotel reservation website (2,562 reviews extracted from Booking.com)
DOI: 10.3535/dt0-cky-f8h
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.tdnazr
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((28.39599 56.12829,30.44399 55.84719,31.32744 55.12437,31.56838 54.32123,32.61246 53.63856,31.56838 52.55432,33.89748 52.43385,35.06203 51.30946,38.0738 50.18507,40.56353 49.54256,39.80055 48.05675,33.53607 45.9686,33.53607 44.36232,37.39113 45.04499,39.11788 44.04107,41.32651 42.95683,45.0611 42.99699,47.59098 41.63165,46.86816 45.52687,58.09499 51.94013,65.61678 69.38197,51.36936 68.79384,41.84227 65.74517,34.2206 64.09381,28.07474 59.46131,28.39599 56.12829))",
 "TaxonKey is Pulsatilla patens (L.) Mill."
 ]
}

 The dataset includes 510 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009526-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7x5mz2bv3v
title: Lifetime mental health problems in Adult Lower Secondary Education: a student survey

description: Participant-level data used in the related article. This dataset also includes further information on the data acquisition procedure. Dataset includes demographic data, data on self-reported psychiatric disorders, and responses to individual items of the Spanish versions of the Discomfort Intolerance Scale (Harrington, 2005; Medrano, Franco, & Mustaca, 2018) and Motivated Strategies for Learning Questionnaire (Pintrich & A, 1991; Roces, Tourón, & González-Torres, 1995). It also includes the calculated subscales of these two questionnaires. Regarding the information on specific disorders, it is only available for the most frequent ones to avoid the possibility of identification of subjects (specifically depression, anxiety and ADHD), and additionally, whether the participant had ever been diagnosed of any of 11 disorders which typically appear in adolescence or adulthood (depression, anxiety, social phobia, OCD, personality disorder, eating disorder, schizophrenia, bipolar disorder, PTSD, substance abuse and problem gambling), or any learning difficulties (dyslexia, dyscalculia, language disorder and intellectual disability). Sample size (283 individuals in total) was divided between Adult Lower Secondary Education students (n=134) and Vocational Students (n=149).
DOI: 10.25582/data.2024-03.3079687/2541543
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/by1-w49-zfa
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wnw-lqm-74t
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3ff-mx9-tcs
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ps2-32f-eg5
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/625cb2bbyr
title: 14(1), 2021

description: The English  extended abstracts of articles published in Vol. 14(1), 2021, journal of Environmental Stresses in Crop Sciences.
to visit the journal, go https://escs.birjand.ac.ir/?lang=en
DOI: 10.3535/f3x-adr-x62
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/the-q5l-znk
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/pxw323z9xp
title: Pseudophilothrips ichini flexible feeding

description: This data repository contains the data presented in the manuscript "The Brazilian peppertree biological control agent Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae) displays a flexible feeding strategy between foliage and reproductive tissues."
DOI: 10.3535/9j9-9e8-ywy
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hr7-v85-x2c
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20484153.v1
title: Figure Data

description: Data used to generate figures.
DOI: 10.25582/data.2024-03.3079688/2541544
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/aaq-dyb-dmc
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b4f-efv-xxz
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/bf934g5cdm
title: Supplemental Materials for "Increased risk of sepsis-caused death in Black patients with primary cutaneous T-cell lymphoma and Burkitt lymphoma: A population study of the US SEER registry

description: Supplemental Figure 1. Flowchart of the study. Results of univariate comparison analyses between sepsis deaths and non-sepsis deaths among CTCL patients or between CTCL sepsis deaths and non-CTCL NHL sepsis deaths were shown in Table 1. SEER, Surveillance, Epidemiology, and End Results; NHL, non-Hodgkin lymphoma; ICD-O, International Classification of Diseases for Oncology; CTCL, cutaneous T-cell lymphoma; MF, Mycosis fungoides; PC-ALCL, Primary cutaneous anaplastic large cell lymphoma; SS, Sezary syndrome; SPTCL, Subcutaneous panniculitis-like T-cell lymphoma; PC-γδTCL, Primary cutaneous gamma-delta T-cell lymphoma; CTLC, NOS, cutaneous T-cell lymphoma, not otherwise specified.
Supplemental Table 1. The specified number of patients and sepsis-caused deaths for each subtype of all non-Hodgkin lymphomas excluding primary cutaneous T-cell lymphomas.
DOI: 10.3535/2gv-gs4-53m
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/en8-qe4-87m
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/39w5rjgkpb
title: Code for predicting undrained shear strength using CARET package in R
DOI: 10.3535/hcf-ps5-808
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/weg-rcm-njt
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24297757.v3
title: <b>Shift in algal blooms from micro- to macroalgae around China with increasing eutrophication and climate change</b>

description: Blooms of microalgal red tides and macroalgae (e.g. green and golden tides caused by <i>Ulva</i> and <i>Sargassum</i>) have caused widespread problems around China in recent years, but there is uncertainty around what triggers these blooms and how they interact. Here, we use 30 years of monitoring data to help answer these questions, focusing on the four main species of microalgae (<i>Prorocentrum donghaiense</i>,<i> Karenia mikimotoi</i>,<i> Noctiluca scintillans</i> and<i> Skeletonema costatum</i>) associated with red tides in the region. The frequency of red tides increased from 1991–2003 and then decreased until 2020, with <i>S. costatum </i>red tides<i> </i>exhibiting the highest rate of decrease. Green tides started to occur around China in 1999 and the frequency of green tides has since been on the increase. Golden tides were first reported to occur around China in 2012. The frequency of macroalgal blooms has a negative linear relationship with the frequency and coverage of red tides around China, and a positive correlation with total nitrogen and phosphorus loads as well as with atmospheric CO<sub>2</sub> and sea-surface temperature (SST). Increased outbreaks of macroalgal blooms are very likely due to worsening levels of eutrophication, combined with rising CO<sub>2</sub> and SST, which contribute to the reduced frequency of red tides. The increasing grazing rate of microzooplankton also results in the decline in areas affected by red tides. This study shows a clear shift of algal blooms from microalgae to macroalgae around China over the past 30 years driven by the combination of eutrophication, climate change, and grazing stress, indicating a fundamental change in coastal systems in the region.
DOI: 10.17632/v86ggrf9sp
title: فصلنامه رهیافت های نوین در مطالعات اسلامی

description: فصلنامه رهیافت های نوین در مطالعات اسلامی با مجوز پروانه انتشار رسمی به شماره 85625 از وزارت متبوع منتشر مي شود. هدف اصلی فصلنامه رهیافت های نوین در مطالعات اسلامی، انتشار تحقیقات انجام‌شده در زمینۀ مطالعات اسلامی، علوم دینی و اجتماعی و همچنین اطلاع‌رسانی علمی و فراهم آوردن زمینه برای تبادل‌ نظر و تضارب آرای متفکران و محققان این رشته، فراهم آوردن زمینه برای تولید علم و اندیشه و نظریه‌پردازی در این زمینه و آماده کردن زمینۀ مناسب برای رشد و ارتقای هر چه بیشتر علوم اسلامی، دینی و جامعه شناسی اسلامی است. این فصلنامه نشریه‌ای با رسالت پژوهشی است که تلاش دارد در ارتقای معرفت دینی و علوم اسلامی ایفای نقش نماید. از این رو دبیرخانه مجله از تمامی اساتید، صاحب نظران، کارشناسان، دانشجویان، پژوهشگران و علاقمندان به مطالعات رشته های مختلف علوم انسانی از سراسر کشور دعوت می‌نماید مقالات و دستاوردهای علمی خود را برای انتشار به این مجله ارسال نمایند. این مجله امید دارد با فعالیت خود و با دریافت مقالات و انتشار بصورت منظم ، دستاوردهای علمی محققان کشور را به نحو شایسته ای در اختیار علاقه مندان قرار دهد. از‌ استادان و پژوهشگران گرامی تقاضا می‌شود برای ارسال مقالات خود فایل word مقاله را به همراه شماره تماس به آدرس ایمیل فصلنامه به آدرس olomeslami@yahoo.com ارسال نمایند. جهت طرح سوال یا هرگونه ابهام در این رابطه می توانید با دبیرخانه مرکزی این فصلنامه به شماره تماس های زیر تماس حاصل نمایید.
DOI: 10.25582/data.2024-03.3079718/2541545
title: Data for EMSL Project 60257 from March 2024
DOI: 10.3535/pmk-m99-35h
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wgp-rv8-71a
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7z3-500-t4s
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15156/bio/sh1099905.10fu
title: SH1099905.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099906.10fu
title: SH1099906.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099908.10fu
title: SH1099908.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099912.10fu
title: SH1099912.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099913.10fu
title: SH1099913.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099915.10fu
title: SH1099915.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099916.10fu
title: SH1099916.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099917.10fu
title: SH1099917.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1099918.10fu
title: SH1099918.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.