cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1099179.10fu
title: SH1099179.10FU

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/sh1099182.10fu
title: SH1099182.10FU

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/sh1099184.10fu
title: SH1099184.10FU

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: 10.21227/9ej5-dp09
title: "Tokyo VPN Speed Monitor"

description: "The Tokyo VPN Speed Monitor Dataset provides comprehensive longitudinal performance measurements of 15 major VPN services from Tokyo, Japan. Data collection is fully automated using 8 Google Apps Script engines, with measurements conducted every 6 hours over a period exceeding 90 days.Key metrics include:- Download speed (Mbps)- Upload speed (Mbps)  - Ping latency (ms)- Stability score (0-100, based on 7-day standard deviation)- Reliability score (0-100)- Monthly pricing (JPY\/USD)Target VPN services: NordVPN, ExpressVPN, Surfshark, MillenVPN, CyberGhost, ProtonVPN, Private Internet Access, IPVanish, Mullvad, Windscribe, SekaVPN, HideMyAss, TunnelBear, Hotspot Shield, and Planet VPN.The composite performance score is calculated as:Score = Download\u00d70.35 + Upload\u00d70.15 + Ping\u00d70.20 + Stability\u00d70.15 + Reliability\u00d70.15This dataset enables researchers and developers to:- Analyze VPN performance trends over time- Compare service reliability across providers- Study pricing dynamics in the VPN market- Develop predictive models for network performance- Build data-driven VPN recommendation toolsAll data and source code are released under the MIT License. The dataset is also available on Harvard Dataverse, Zenodo, figshare, OSF, Mendeley Data, and Kaggle with assigned DOIs for academic citation.Measurement location: Tokyo, JapanUpdate frequency: Every 6 hours (4 times daily)Data coverage: 90+ days of historical measurements"
DOI: 10.15156/bio/sh1099185.10fu
title: SH1099185.10FU

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/sh1099187.10fu
title: SH1099187.10FU

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/sh1099192.10fu
title: SH1099192.10FU

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/sh1099195.10fu
title: SH1099195.10FU

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/sh1099196.10fu
title: SH1099196.10FU

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/sh1099200.10fu
title: SH1099200.10FU

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: 10.15468/dl.s379s4
title: Occurrence Download

description: A dataset containing 8942696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2016",
 "Month is January"
 ]
}

 The dataset includes 8942696 records from 2898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002519-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/sfq-te5-arx
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/frn-meg-083
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ptm-00w-g3p
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/rmz22dfn8j
title: ATG4 family proteins drive phagophore growth independently of the LC3/GABARAP lipidation system_Nguyen et al

description: The sequestration of damaged mitochondria within double-membrane structures termed autophagosomes is a key step of PINK1/Parkin mitophagy. The ATG4 family of proteases are thought to regulate autophagosome formation exclusively by processing the ubiquitin-like ATG8 family (LC3/GABARAPs). We discover that human ATG4s promote autophagosome formation independently of their protease activity and of ATG8 family processing. ATG4 proximity networks reveal a role for ATG4s and their proximity partners, including the immune-disease protein LRBA, in ATG9A vesicle trafficking to mitochondria. Artificial intelligence-directed 3D electron microscopy of phagophores shows that ATG4s promote phagophore-ER contacts during the lipid-transfer phase of autophagosome formation. We also show that ATG8 removal during autophagosome maturation does not depend on ATG4 activity. Instead, we find that ATG4s can disassemble ATG8-protein conjugates, revealing a role for ATG4s as deubiquitinating-like enzymes. These findings establish non-canonical roles of the ATG4 family beyond the ATG8 lipidation axis and provide an AI-driven framework for rapid 3D electron microscopy.
DOI: 10.3535/fw9-zjn-y9c
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xxc-glc-h1n
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/pbc2gwdknp
title: Dataset_Commitment Intervention to improve Saving Behaviour

description: Dataset for a commitment intervention to improve the saving behavior of individuals who perceive financial scarcity
DOI: 10.17632/y4dmy8hjjg
title: Data for: A vehicle-UAV operation scheme for instant delivery

description: This pack contains the instances of instant delivery. The files named customer-number.mat are the customer data of 50 instances (of different number of customers) in which column 1 and column 2 shows the X-coordinates and the Y-coordinates of customers and column 3 shows the demands of customers. The file named vehicleStop.mat is the data of potential vehicle stops in which column 1 and column 2 shows the X-coordinates and the Y-coordinates of potential vehicle stops. All instances share the data of potential vehicle stops.
DOI: 10.3535/9tz-577-dc9
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s60-7sy-d2f
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/vy6rbfyh97
title: Data for: Dating currency crises in emerging market economies

description: The data is centered around 35 emerging market economies, from 1990 to 2016, on a monthly basis. The data can be divided in three areas. First, the data to construct the currency crisis dummy variables. I specify the sources of the raw data and transformations. I include the spreadsheet with all operations, including macro’s to replicate and extend the country base. The spreadsheet contains a brief description in the first sheet. The original, raw data is not included due to publication restrictions. Second, the narrative contains a detailed description around events that are considered currency crises in other studies or that the six definitions employed identify as a currency crisis. The narrative is very useful to distinguish currency crises from other type of events. For each potential crisis date, we review academic papers and articles from Bloomberg, Economist, BBC News and similar sources, and where possible use more than one source per event. Third, a list of alternative currency crisis definitions. I have included the definitions of more than 70 papers on currency crises. Although not complete, the overview is comprehensive and can be helpful to anyone interested in the different definitions that are being used in the literature.
DOI: 10.3535/5pd-35q-7l9
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qhl-fj7-zxy
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/921-80z-qvn
title: †Asaphida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ce2-nlt-ddp
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/y10-2jd-gq4
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/c97jm5mvrf
title: Data for: LONG-TERM OUTCOMES OF ADULT-SIZE AND SIZE-MATCHED KIDNEY TRANSPLANTS IN SMALL PEDIATRIC RECIPIENTS

description: Raw and processed data
DOI: 10.17632/v52k86mp58
title: Galectin-3 coordinates a cellular system for lysosomal repair and removal

description: Endomembrane damage elicits a set of cellular responses to maintain homeostasis including ESCRT-dependent membrane repair and autophagic removal of damaged organelles. Previous studies have suggested that these systems may act separately. Here we show that galectin-3 (Gal3), a member of the -galactoside glycan-binding family of cytosolic lectins, functionally and mechanistically unifies and coordinates ESCRT and autophagy responses to lysosomal damage. Gal3 and its capacity to recognize damage-exposed glycans were required for efficient recruitment of the key ESCRT component ALIX during lysosomal damage. Both Gal3 and ALIX were required for restoration of lysosomal function. Gal3 promoted interactions between ALIX and the downstream ESCRT-III effector CHMP4 during lysosomal damage repair. At later time points following lysosomal injury, Gal3 controlled autophagic responses. When these processes failed, as in Gal3 knockout cells, lysosomal replacement program took over through TFEB. Manifestations of this staged response, which includes membrane repair, removal and replacement, were detected in model systems of lysosomal damage inflicted by proteopathic tau and during phagosome parasitism by Mycobacterium tuberculosis.
DOI: 10.3535/612-612-8hp
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/aya-8q5-tmk
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/j5x4brjydv
title: employee volunteering

description: H1: CEO duality worsen employee volunteerism of family (non) firms in an emerging economy.H2: Mandatory reporting improves employee volunteerism of family(non) firms in an emerging economy.
DOI: 10.3535/2q9-mvn-9l5
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5xk-m2q-p64
title: Aethilla Hewitson, 1868

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/jzvjnjm29d
title: Introducing PROFESS 2.0: A parallelized, fully linear scaling program for orbital-free density functional theory calculations

description: Abstract Orbital-free density functional theory (OFDFT) is a first principles quantum mechanics method to find the ground-state energy of a system by variationally minimizing with respect to the electron density. No orbitals are used in the evaluation of the kinetic energy (unlike Kohn–Sham DFT), and the method scales nearly linearly with the size of the system. The PRinceton Orbital-Free Electronic Structure Software (PROFESS) uses OFDFT to model materials from the atomic scale to the mesoscale. This... Title of program: PROFESS Catalogue Id: AEBN_v2_0 Nature of problem Given a set of coordinates describing the initial ion positions under periodic boundary conditions, recovers the ground state energy, electron density, ion positions, and cell lattice vectors predicted by orbital-free density functional theory. The computation of all terms is effectively linear scaling. Parallelization is implemented through domain decomposition, and up to ~10,000 ions may be included in the calculation on just a single processor, limited by RAM. For example, when optimizing the ... Versions of this program held in the CPC repository in Mendeley Data AEBN_v1_0; PROFESS; 10.1016/j.cpc.2008.07.002 AEBN_v2_0; PROFESS; 10.1016/j.cpc.2010.09.001 AEBN_v3_0; PROFESS; 10.1016/j.cpc.2014.12.021 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/gfj-pfm-5rd
title: Ctenurellina McKamey, 2003

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rc2-qx7-ywh
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/3k7psjhmhw
title: Low CD4 nadir as a preoperative risk factor for squamous cell carcinoma with aggressive subclinical extension among patients infected with the human immunodeficiency virus

description: Supplementary tables to JAAD manuscript "Low CD4 nadir as a preoperative risk factor for squamous cell carcinoma with aggressive subclinical extension among patients infected with the human immunodeficiency virus".
DOI: 10.17632/vrb7wsm69z
title: Ipomoea aquatica floral morph pollination data (Hassa et al.)

description: Pollinator visitation and female reproductive success in two floral color morphs of Ipomoea aquatica (Convolvulaceae) Piriya Hassa, Paweena Traiperm and Alyssa B. Stewart The pollination ecology and reproduction of two floral color morphs of Ipomoea aquatica Forssk. were examined in Nong Khai, Thailand. Two data sets were used when analyzing the results of this study (see attached); descriptions of the data sets are provided below. Floral Visitor Data - Date: date that the floral visitor was observed - CameraID: ID of the camera used - Hours: total number of hours filmed - FloralColor: color of floral morph (white = all white corolla; purple = purple corolla tube transitioning to white corolla lobes) - Taxa: scientific name of floral visitor - Order: order of floral visitor - Behavior: how the visitor interacted with the flower (pollinator = contacted floral reproductive structures; visitor = visited flower but did not contact floral reproductive structures) - no.ofVisits: how many times the floral visitor was observed at flowers - VisitationRate: number of visits per hour Pollination Experiment Data - FloralColor: color of floral morph (white = all white corolla; purple = purple corolla tube transitioning to white corolla lobes) - Population: the plant population where the experiment was conducted (W, P, and WP are the same names used in "Pollinator visitation and female reproductive success in two floral color morphs of Ipomoea aquatica (Convolvulaceae)") - Treatment: the experimental treatment used (treatment names are the same as those used in "Pollinator visitation and female reproductive success in two floral color morphs of Ipomoea aquatica (Convolvulaceae)") - FlowerID: the ID of the flower tested - FruitSet: whether or not the flower developed into a fruit (1 = developed into fruit; 0 = did not develop into fruit) - SeedSet: the number of seeds produced