cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0093694.10fu
title: SH0093694.10FU

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/bacdive101664.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101664.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093695.10fu
title: SH0093695.10FU

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/bacdive101665.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101665.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093696.10fu
title: SH0093696.10FU

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/bacdive101666.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101666.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0093697.10fu
title: SH0093697.10FU

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/bacdive101667.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101667.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive101668.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5255/ukda-sn-857687
title: Facilitating Policy Change for Low Carbon Mobility: Comparative Analysis of Two City Regions in England, UK (Birmingham and Cambridge), 2021

description: A low carbon mobility system is integral to energy demand reduction and essential if the UK wants to meet its target of net-zero emissions by 2050. However, despite the UK having legally binding targets for over a decade, emissions from transport have grown and the sector is now the UK’s largest emitter, accounting for 28% of UK emissions. Therefore urgent and significant policy change is required. However the majority of transport scholarship focuses on technological ‘fixes’ and societal issues (such as behaviour change) for enabling low carbon mobility. Questions of governance – the process through which networks of actors interact to shape outcomes – have largely been ignored. 

In order to address this research gap, this project combines methodological approaches from political science and engineering to provide an innovative systemic analysis of the low carbon mobility challenge, placing governance front and centre. Through interpretive network and problem analysis, the project compares the multilevel governance of two city regions in England, UK: Birmingham and Cambridge. 

The study has two key research objectives:

1) To identify and explain the role that multilevel governance plays in shaping local policy responses towards low carbon mobility; making a significant interdisciplinary contribution to knowledge at the nexus of political science, transport studies and energy research. 

2) To identify critical governance interventions that are required to support transformative policy change towards low carbon mobility. Providing support to key stakeholders.

The findings identify the role multilevel governance plays in influencing local level policy responses towards low carbon mobility. In doing so, the project provides insights into the ways current UK governance arrangements can be supported to enable more effective local policy responses towards low carbon mobility.
DOI: 10.15468/dl.hb3k22
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax kurtmuelleri (Gayda, 1940)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012194-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5157/neps:sc4:1.1.0
title: Scientific Use File of  NEPS Starting Cohort 4: Grade 9
title: Scientific Use File der NEPS-Startkohorte 4: Klasse 9

description: The data from the Starting Cohort Grade 9 is available, free of charge, to individuals with a valid NEPS data usage contract via three modes of access – download, RemoteNEPS and on-site.
description: Die Daten der Startkohorte Klasse 9 stehen Personen mit einem gültigen NEPS-Datennutzungsvertrag kostenfrei über drei Zugangswege – Download, RemoteNEPS, On-site – zur Verfügung.
DOI: 10.15468/dl.wts2sp
title: Occurrence Download

description: A dataset containing 72767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus cornix Linnaeus, 1758"
 ]
}

 The dataset includes 72767 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012183-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjc99w
title: Occurrence Download

description: A dataset containing 1070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea kamoonensis Kunth"
 ]
}

 The dataset includes 1070 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012195-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shp9t6
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mediodactylus kotschyi (Steindachner, 1870)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 160 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012196-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddfywj
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((55.97926 7.92899,159.02074 7.92899,159.02074 49.07101,55.97926 49.07101,55.97926 7.92899))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rosa chinensis var. spontanea (Rehder & E.H.Wilson) T.T.Yu & T.C.Ku",
 "Year 1914-1988"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012197-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/37wyv32y8j.1
title: Data for: Intermuscular Coherence between Surface EMG Signals recorded with Monopolar and Bipolar EMG Systems during Squatting

description: This dataset contains raw EMG / goniometer data as well as a processed data sheet from a study with the research question how different EMG recording techniques affect the intermuscular coherence between surface EMG signals. 
It was hypothesized that bipolar EMG signals would show a lower EMG-EMG coherence compared to monopolar signals due to inevitable errors in electrode alignment when aligning the sensors with the muscle fiber direction.

16 participants (12 male, 4 female, young, active adults) are included in this analysis. The muscles investigated were vastus lateralis and medialis and the investigated movement tasks were series of bipedal squats for 90 seconds (first trial stable on the ground, second trial stable on the ground, third trial unstable on a BOSU ball.

The main findings are that the intermuscular coherence between vastus lateralis and medialis was indeed reduced in the bipolar compared to monopolar recordings. Furthermore, coherence below 40 Hz was increased during unstable squatting and the monopolar current and bipolar potential systems were most sensitive to this change while the monopolar potential recordings showed low sensitivity.

Content of files:
1) "2018-04-EMG-EMG intermuscular coherence and EMG intensities" contains an Excel file with all averages across squats and subjects for each of the recording systems.
2) "Raw Data" contains a Matlab .mat file with the raw EMG data from each system and goniometre data representing the corresponding knee flexion angle during squatting.
The .mat file contains a cell array with 16 cells, one for each subject.
The subject-specific cells contain a 3x3 cell array, rows for recording systems (bipolar potential, monopolar potential, monopolar current), columns for trials (stable squatting 1, stable squatting 2, unstable squatting).
Each cell contains three data columns (VL EMG, VM EMG, goniometer data in Voltage).
DOI: 10.15468/dl.aq2yuk
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetophora spinosa (Rossi, 1794)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 548 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012198-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzx495
title: Occurrence Download

description: A dataset containing 4872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (National Herbarium of Victoria (MEL) AVH data, Royal Botanic Gardens, Kew - Herbarium Specimens, Miami University Turrell Herbarium - Bryophytes, Moscow University Herbarium (MW), Digital Herbarium - NGCPR, University of Tennessee Bryophyte Herbarium, NMNH Extant Specimen Records (USNM, US), The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris))",
 "Geometry POLYGON((77.46402 7.69724,77.89096 7.5461,78.80584 8.54255,79.75121 9.71681,80.69659 11.75412,80.91006 13.50975,80.33063 13.80609,78.74485 13.03485,77.59916 12.81695,76.21369 11.81383,75.3293 11.45539,75.3293 9.92715,77.46402 7.69724))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4872 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012199-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76rk9x
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax bedriagae (Camerano, 1882)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 204 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012200-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5157/neps:sc4:6.0.0
title: Scientific Use File of  NEPS Starting Cohort 4: Grade 9
title: Scientific Use File der NEPS-Startkohorte 4: Klasse 9

description: The data from the Starting Cohort Grade 9 is available, free of charge, to individuals with a valid NEPS data usage contract via three modes of access – download, RemoteNEPS and on-site.
description: Die Daten der Startkohorte Klasse 9 stehen Personen mit einem gültigen NEPS-Datennutzungsvertrag kostenfrei über drei Zugangswege – Download, RemoteNEPS, On-site – zur Verfügung.
DOI: 10.20350/digitalcsic/17172
title: FSI collection

description: List of the accessions presenting a Foliar Symptoms Index 20 days after the inoculation (FSI20) of less than 3.5 with a 1000 zoospores/mL dose for at least one isolate. Includes ID, bank code, taxa, and the average FSI20 ± SE for the two A. euteiches isolates, Aph1 and Aph2.
DOI: 10.20350/digitalcsic/17173
title: Selected accesions symptons index

description: Average Foliar Symptoms Index (FSI20) and Root Rot Index (RRI20) ± Standard Error (SE) for the 40 selected accessions inoculated with both isolates (Aph1 and Aph2) at 1000 and 10000 zoospores/mL. Asterisks indicate values significantly different from the susceptible control Messire (* p ≤ 0.1, ** p ≤ 0.05 and *** p ≤ 0.01).
DOI: 10.20350/digitalcsic/17174
title: Collection description

description: Accession list of the Pisum collection including ID, bank code, species, population structure and origin.
DOI: 10.17632/f2fv7gb577.1
title: Data for: Surface EMG muscle activation patterns of the lower extremities during gait in individuals with and without a knee injury history

description: This data set was used to investigate lower extremity muscle activation patterns during treadmill walking in young adults with and without a previous intra-articular knee injury 3-12 years ago. The hypothesis was that systematic adaptations in time-frequency activation patterns of lower extremity muscles during gait persist more than three years post-injury.

Bipolar surface EMG signals and heel accelerations (1D) were recorded at 2400 Hz from 71 individuals with and without a history of knee injury 3-12 years prior during one minute of treadmill walking (4.5 km/h). EMG signals were obtained bilaterally from five muscles: Vastus lateralis (VL), biceps femoris (BF), medial hamstrings (MH), gastrocnemius lateralis (GL), gastrocnemius medialis (GM). Recordings from 61 individuals were used for further analysis. Raw EMG data and the time points (sample numbers) of heel strike for the right and left leg of each individual can be found in the .mat file 'Raw_Data'. 

Raw EMG signals were transformed into time-frequency space using a wavelet analysis (for details, see: von Tscharner, 2000, "Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution"). EMG intensities were resampled to 250 time points, summarized in three frequency bands: Low 30-60Hz, Mid 60-100 Hz, High 100-300Hz, and amplitude-normalized to the overall, mean EMG intensity across all 49 gait cycles. 

Normalized EMG intensities were then averaged across the 49 gait cycles, yielding one EMG intensity pattern for each of the five muscles, representing 3 frequency bands and 250 time points (5x3x250 = 3750 elements per pattern). Thus, there are 122 MMPs, one for each leg of the 61 participants that were appended row-wise in matrix M in file 'M.mat'.

A PCA was applied to the data matrix M (for details, see: von Tscharner et al., 2018, "A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns"). The residual mean (PC 0) and the first 10 PC-vectors (70% of the original variance) are saved in the file 'PC-vectors-features.mat' and the corresponding weights in the matrix W are saved in 'W_unwhitened.mat'.

W was whitened and used as an input to a support vector machine analysis to investigate systematic differences in lower extremity muscle activation patterns between legs that had sustained a previous injury vs. legs with no injury history. The results showed that trained classifiers could successfully recognize whether muscle activation patterns belonged to the affected or unaffected leg of previously injured individuals. In contrast, it was not possible to discriminate between patterns belonging to the previously injured legs or dominant legs of control subjects. In conclusion, systematic knee injury effects on the neuromuscular control of the knee during gait were present 3 to 12 years later.
DOI: 10.15468/dl.f4u3wz
title: Occurrence Download

description: A dataset containing 682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eragrostis curvula (Schrad.) Nees",
 "Year 2005-2025"
 ]
}

 The dataset includes 682 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012202-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dz3cks
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaeleo chamaeleon (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 508 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012203-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ec2ck
title: Occurrence Download

description: A dataset containing 26971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anopheles funestus Giles, 1900"
 ]
}

 The dataset includes 26971 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012205-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6u585
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalcides ocellatus (Forskal, 1775)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 227 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012206-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.