cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0091605.10fu
title: SH0091605.10FU

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: 10.5517/ccdc.csd.cc2q2g7j
title: CCDC 2504807: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Annika Klose, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2q3kr5
title: CCDC 2505877: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Jiangang Yu, Gerhard Erker|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13145/bacdive24507.20250331.9.3
title: Cognatishimia maritima (Park et al. 2012) Wirth and Whitman 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24507.20251217.10
title: Cognatishimia maritima (Park et al. 2012) Wirth and Whitman 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091606.10fu
title: SH0091606.10FU

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: 10.25545/fm1gxy
title: Transient shear wave elastometry using a portable magnetic resonance sensor

description: This repository contains all raw data files and processing scripts associated with the paper published in Magnetic Resonance in Medicine entitled “Transient Shear Wave Elastometry Using a Portable Magnetic Resonance Sensor.”

Abstract:

Purpose: Magnetic resonance elastography (MRE) provides detailed maps of tissue stiffness, helping to diagnose various health conditions, but requires the use of expensive clinical MRI scanners. Our approach utilizes compact, cost-effective portable MR sensors that offer bulk characterization of material properties in a region of interest close to the surface (within 1-2 cm). This accessible instrument could enable routine monitoring and prevention of diseases not readily evaluated with conventional tools.

Methods: The method was tested on tissue-mimicking phantoms with varying stiffness. The gels were excited with acoustic pulses (one cycle of a sinusoidal waveform) at a fixed distance from the MR sensor. A series of delays between acoustic excitation and MR signal detection allowed time for the pulse to travel to the sensitive region.

Results: The "arrival time" of the shear wave, determined by the time-dependent MR signal response, was used to calculate the shear wave speed. MR measurements of shear wave speed were compared with optical sensor measurements and manufacturer-tabulated values, aligning with expected relative differences between samples.

Conclusion: A portable MR-based transient elastometry technique for measuring tissue elasticity was developed and demonstrated on tissue-mimicking phantoms. Future improvements include using a new portable magnet to investigate depth-dependent changes in elasticity in stratified samples and integrating MR relaxation and diffusion measurements for comprehensive tissue analysis. This approach can complement conventional MRE in applications where a portable, affordable, and localized assessment of tissue stiffness is required.
DOI: 10.13145/bacdive24508.20250331.9.3
title: Shimia haliotis Hyun et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091607.10fu
title: SH0091607.10FU

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: 10.13145/bacdive24508.20251217.10
title: Shimia haliotis Hyun et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24509.20241212.9.2
title: Rubrimonas shengliensis Cai et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091608.10fu
title: SH0091608.10FU

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: 10.13145/bacdive24509.20251217.10
title: Rubrimonas shengliensis Cai et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24510.20250331.9.3
title: Donghicola eburneus Yoon et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091609.10fu
title: SH0091609.10FU

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: 10.13145/bacdive24510.20251217.10
title: Donghicola eburneus Yoon et al. 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0091610.10fu
title: SH0091610.10FU

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: 10.3535/zz6-v8v-gta
title: Cymatiogalea deunffii Jardiné, Combaz, Magloire, Peniguel and Vachey 1974, 1974

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5309797.v1
title: Blood-based spectroscopy toward investigation of neurodegenerative diseases

description: ATR-FTIR spectroscopy was used for the analysis of blood samples towards the investigation and differential diagnosis of neurodegenerative diseases. This file contains raw and preprocessed data derived from patients with these diseases. Raw spectra were preprocessed to correct problems associated with data acquisition and further multivariate approaches were applied to study the respective datasets. The preprocessing of the raw spectra was performed within MATLAB software, using an in-house-developed IRootLab toolbox (http://trevisanj.github.io/irootlab/).<br><br>Abbreviations: AD: Alzheimer's disease; CBD: corticobasal degeneration; DLB: dementia with Lewy bodies; FTD: frontotemporal dementia; HC: healthy controls; MND: motor neuron disease; MSA: multiple system atrophy; PD: Parkinson's disease; PNFA: progressive nonfluent aphasia; PSD: progressive supranuclear palsy. <br>
DOI: 10.3535/cs7-ddw-yx1
title: Granitic gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rcb-anw-83m
title: Baltisphaeridium? sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5114122.v3
title: Sorbus aria chorology

description: Distribution map of common whitebeam (<i>Sorbus aria</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.17632/w36b55bxm6
title: Computational bases of action anticipation superiority in experts: Identifying and mapping kinematic invariants

description: experiment data.xlsx

Store all the experiment data of subject and single-trial level. Data were used for establishing encoding and readout models under the kinematic coding framework.

Sheet Execution: Kinematic data of all stimuli.
VIDEO_NAME: the code of each stimulus.
CONDITION: action types.
OUTCOME: actual outcomes of actions. 1-Left; 2-Right. 
Nose_x_1 ~ LHip_y_5: kinematic data

Sheet Coding: Description of the data file.

Sheet Observation: behavioral data of two tasks
SUBJECT_ID: ID of subjects
SUBJECT_GROUP: 1-Experts; 2-Noivces.
CONDITION: 1-Normal display videos; 2-Point-light display videos.
OUTCOME: actual outcomes of actions(1: left; 2: right). 
VIDEO_NAME: the code of each stimulus.
ACCURACY: Task performance. 1-correct; 2-incorrect.
SUBJECT_RESPONSE: response of each subject in each trial. 1-Left; 2-Right. 
RESPONSE_TIME: response time of each subject in each trial(ms). 

Sheet Results: Subject-level results.
DOI: 10.3535/943-lk9-abb
title: Granitic gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c4f-yb1-hh7
title: Phlebolepis elegans (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bg1-t4h-qxl
title: Phlebolepis elegans (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nrt-2mq-7f3
title: Phlebolepis elegans (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q5c-dbc-03w
title: Phlebolepis elegans (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v0l-zxz-gaj
title: Phlebolepis elegans (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/598-4da-ppl
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cj4-tpt-t8d
title: Cymatiogalea messaoudensis Jardiné, Combaz, Magloire, Peniguel and Vachey 1974, 1974

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/88jmjgj7zy
title: Supplementary material for JGR paper "Magma chamber formation by dike accretion and crustal melting: 2D thermal model with emphasis on zircon record"

description: Supplementary material for the paper: O. E. Melnik, I. S. Utkin, and I. N. Bindeman "Magma chamber formation by dike accretion and crustal melting: 2D thermal model with emphasis on zircon record" submitted to Journal of Geophysical Research, Solid Earth. Folder "Temperature histories" contains data for parameter variations in Lagrangian particles corresponding to injected magma and host rocks. Data is presented on Fig. 8 in the main text of the paper. Executable file, example, user manual are available at Code folder.
DOI: 10.17632/p5z5hhm736
title: Replication: Cheating, loss aversion, and moral attitudes in Vietnam

description: We use the coin-flip paradigm and a short survey about moral attitudes under three conditions to answer three questions: (i) Do people cheat more when financial incentives are present in comparison with no incentives? (ii) Do they find it more difficult to maintain their ethical standards when they have been given a small amount of money? and (iii) Do moral attitudes predict cheating behavior? Using a sample of Vietnamese college students, we discover that a financial incentive does not matter until people feel that they are facing a loss. In addition, we do not find any evidence that moral attitudes could predict the unethical behavior in our sample. Our findings shed further light on cheating behaviors and loss aversion through an experimental investigation.
DOI: 10.3535/c4e-2eb-bfl
title: Acanthodiacrodium timofeevii Golub and Volkova, 1985

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z27-xys-st2
title: Buedingiisphaeridium tremadocum Rasul, 1979

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n0x-qhy-dxn
title: Neocystiphyllum keyserlingi (Dybowski, 1873)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s5y-2y0-ktd
title: Granitic gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qgz-cn3-02k
title: Neocystiphyllum keyserlingi (Dybowski, 1873)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/war-98b-mgy
title: Calymene

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27246765.v1
title: Future pandemics vaccination

description: This dataset comprises survey responses collected from participants regarding their intention to receive vaccination in the event of a future pandemic. The data captures a range of variables including demographic information (e.g., age, gender, education level, geographic location), past vaccination behaviors, trust in public health authorities, perception of vaccine safety and efficacy, and sources of health-related information. Participants were asked to indicate their likelihood of accepting a vaccine during a hypothetical future pandemic scenario, along with factors that might influence their decision-making, such as government recommendations, peer influence, media narratives, and perceived personal risk.
DOI: 10.3535/nn6-mp7-cf3
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/trq-y0d-4kq
title: Stelliferidium pseudoornatum Pittau, 1985

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.ggek38
title: Occurrence Download

description: A dataset containing 609620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((57 52,65 52,65 57,57 57,57 52))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 609620 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009596-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.