cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/9ar-ffg-r2y
title: Pinctada radiata (Leach, 1814)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h3t-n2x-tqd
title: Lindholmiola lens (A. Férussac, 1832)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w8v-8p6-ftk
title: Pteria colymbus (Röding, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dbw-8ln-qm1
title: Microstrophia clavulata (Lamarck, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hgt-jmt-75w
title: Subulina octona (Bruguière, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hgb-d5e-qrz
title: Conus episcopatus da Motta, 1982

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hwa-9l6-q04
title: Conus coronatus Gmelin, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yr4-f08-btb
title: Callina rotula (R. T. Lowe, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5vw-45n-jd0
title: Conasprella eugrammata (Bartsch & Rehder, 1943)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ctl-kfv-l8p
title: Monacha cartusiana (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/erl-qvr-lrm
title: Hemicycla saponacea (R. T. Lowe, 1861)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/glx-19j-mjm
title: Conus catus Hwass, 1792

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jt2-57s-7pd
title: Oxychilus draparnaudi (H. Beck, 1837)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/452-43q-0zl
title: Cyclonaias tuberculata (Rafinesque, 1820)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ym2-e2w-k7c
title: Mesomphix subplanus (A. Binney, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gm7-sh9-mva
title: Cernuella cisalpina (Rossmässler, 1837)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ttd-xz7-xln
title: Musculus discors (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.vek7tg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Argostemma rupestrinum"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004561-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/n9y-8a0-rnk
title: Amphidromus quadrasi Hidalgo, 1887

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pqv-bzs-9pz
title: Lopha cristagalli (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/06w-y9b-epq
title: Crassostrea virginica (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bqf-25r-eby
title: Atractophaedusa rhopaloides (Möllendorff, 1901)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f00-qpq-q6j
title: Plicatula plicata (Linnaeus, 1764)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16537397
title: Measurement data for the paper "Listening effort for soft speech in quiet"

description: This data set includes subjective ratings on listening effort, speech intelligibility and pupil size evaluated in the follwing paper.

 

Listening effort for soft speech in quiet 

Hendrik Husstedt, Jennifer Schmidt, Luca Wiederschein, Robert Wiedenbeck, Markus Kemper, Florian Denk

Trends in Hearing, https://doi.org/10.1177/23312165251370006

 

All data is provided as “*.mat“ files for Matlab.

“SpeechIntelligibilityLevels.mat” contains the speech levels used for the measurement of pupil size (speechlev) according to Table 1, which are the result of the OLSA and ACALES measurements performed before the measurement of pupil size. Moreover, speech intelligibility during the measurement of pupil size is provided (speechint).

“ExperiencedListeningEffort.mat” contains the results of the ACALES measurements. which are partly identical with the speech levels (speechlev). 

“GazeTable_P1.mat” contains the results of the pupil size experiment for participant 1. The column “Event” contains a decimal number if an event occurred, which is coded as BlockID*100+CondtionID*10+TimingID.

-          BlockID: Number from 1-8 indicating the block order. (The block is merely a subdivision of the experiment and does not hold any additional significance.)

-          ConditionID: 1=SRT20; 2=SRT50; 3=SRT80; 4=ESCU13; 5=ESCU9; 6=ESCU5; 7=ESCU1; 8=60dBFixed;

-          TimingID: 1=begin of 1st pause; 2=begin of OLSA sentence (end 1st pause); 3=end of OLSA sentence (begin 2nd pause); 4= end of 2nd pause (begin response window);

“FollowUpExperiment.mat” contains the OLSA (olsa) and ACALES (acales) results of the follow-up experiment. Both variables are three dimensional arrays:

-          1st dimension: 1=SRT20; 2=SRT50; 3=SRT80; or 1=ESCU13; 2=ESCU11; 3=ESCU9; 4=ESCU7; 5=ESCU5; 6=ESCU3; 7=ESCU1;

-          2nd dimension: 1=OLnoise; 2=HTSN;

-          3rd dimension: Participant ID;

“HTSN.wav” contains the hearing threshold simulation noise used in the follow-up experiment.
DOI: 10.5281/zenodo.16537398
title: Measurement data for the paper "Listening effort for soft speech in quiet"

description: This data set includes subjective ratings on listening effort, speech intelligibility and pupil size evaluated in the follwing paper.

 

Listening effort for soft speech in quiet 

Hendrik Husstedt, Jennifer Schmidt, Luca Wiederschein, Robert Wiedenbeck, Markus Kemper, Florian Denk

Trends in Hearing, https://doi.org/10.1177/23312165251370006

 

All data is provided as “*.mat“ files for Matlab.

“SpeechIntelligibilityLevels.mat” contains the speech levels used for the measurement of pupil size (speechlev) according to Table 1, which are the result of the OLSA and ACALES measurements performed before the measurement of pupil size. Moreover, speech intelligibility during the measurement of pupil size is provided (speechint).

“ExperiencedListeningEffort.mat” contains the results of the ACALES measurements. which are partly identical with the speech levels (speechlev). 

“GazeTable_P1.mat” contains the results of the pupil size experiment for participant 1. The column “Event” contains a decimal number if an event occurred, which is coded as BlockID*100+CondtionID*10+TimingID.

-          BlockID: Number from 1-8 indicating the block order. (The block is merely a subdivision of the experiment and does not hold any additional significance.)

-          ConditionID: 1=SRT20; 2=SRT50; 3=SRT80; 4=ESCU13; 5=ESCU9; 6=ESCU5; 7=ESCU1; 8=60dBFixed;

-          TimingID: 1=begin of 1st pause; 2=begin of OLSA sentence (end 1st pause); 3=end of OLSA sentence (begin 2nd pause); 4= end of 2nd pause (begin response window);

“FollowUpExperiment.mat” contains the OLSA (olsa) and ACALES (acales) results of the follow-up experiment. Both variables are three dimensional arrays:

-          1st dimension: 1=SRT20; 2=SRT50; 3=SRT80; or 1=ESCU13; 2=ESCU11; 3=ESCU9; 4=ESCU7; 5=ESCU5; 6=ESCU3; 7=ESCU1;

-          2nd dimension: 1=OLnoise; 2=HTSN;

-          3rd dimension: Participant ID;

“HTSN.wav” contains the hearing threshold simulation noise used in the follow-up experiment.
DOI: 10.3535/d6s-ft1-6zg
title: Candidula unifasciata (Poiret, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w9t-fwq-jcv
title: Scutalus proteus (Broderip, 1832)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sv5-3rp-etq
title: Neopetraeus caerulescens (L. Pfeiffer, 1858)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xlx-sec-2cr
title: Dentalium Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.hkme7j
title: Occurrence Download

description: A dataset containing 173979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Buddleja davidii Franch.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 173979 records from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011631-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krrxek
title: Occurrence Download

description: A dataset containing 18990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Azolla filiculoides Lam.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 18990 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011614-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.havvn3
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Cabomba caroliniana A.Gray)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 1088 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011643-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7swut
title: Occurrence Download

description: A dataset containing 14233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Cenchrus clandestinus (Hochst. ex Chiov.) Morrone)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 14233 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011663-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhs2ry
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Carduus lusitanicus Rouy)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011658-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvyujk
title: Occurrence Download

description: A dataset containing 9334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Cenchrus setaceus (Forssk.) Morrone)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 9334 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011666-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s344bq
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Cereus jamacaru DC.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 571 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011670-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4b4765
title: Occurrence Download

description: A dataset containing 30100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Chondrilla juncea L.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 30100 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011679-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2wuxh
title: Occurrence Download

description: A dataset containing 12050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Chromolaena odorata (L.) R.M.King & H.Rob.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 12050 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011684-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feevks
title: Occurrence Download

description: A dataset containing 1815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreochrysum parryi"
 ]
}

 The dataset includes 1815 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027704-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h22skm
title: Occurrence Download

description: A dataset containing 689833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "TaxonKey is one of (Cirsium arvense (L.) Scop.)",
 "Year 1960-2023",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 9999"
 ]
}

 The dataset includes 689833 records from 1528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011686-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166412.10fu
title: SH0166412.10FU

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/sh0166413.10fu
title: SH0166413.10FU

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/sh0166414.10fu
title: SH0166414.10FU

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/sh0166415.10fu
title: SH0166415.10FU

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: 10.17632/3xvhrpvdds
title: Mendeley Supplemental Figure 4

description: Supplemental Figure 4: Handheld digital microscope (US$30, NUOTON ABS-506A, Amazon.com). This model features an adjustable focusing dial in addition to built-in screen and memory. Adjustable focus can accommodate variable distances in concave or convex body surfaces. Polarizing filters for light sources and cameras can be cut to size and oriented to show cross-polarization (overlapping dark region) (B). A set of polarizing filters can be placed in the barrel of the camera to approximate polarized dermoscopy (C).
DOI: 10.17863/cam.113504
title: Research Data supporting "Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals"

description: Overview This dataset contains raw recordings of surface electromyography (sEMG) and inertial measurement unit (IMU) data collected during ankle exoskeleton experiments. The data is organized by action, subject, and session (part), stored as individual CSV files. Processing code is publicly available at: https://github.com/Sr933/exoskeleton /RawData/ └── ActionName1/ ├── SubjectA/ │ ├── Part1/ │ │ ├── file1.csv │ │ ├── file2.csv │ │ └── ... │ └── Part2/ │ └── ... └── SubjectB/ └── ... ActionNameX: e.g., Walking_forwards, Pick_up_object, Turn_left, etc. SubjectX: unique subject identifier (e.g., S01, S02, …). PartX: session or trial split identifier (e.g., Part1, TrialA, etc.). fileN.csv: raw data file for a given trial, as captured from the sensors. CSV File Contents Each CSV contains time-series data including: Time/Index columns (e.g., time, timestamp, idx, id) Raw sEMG channels (integer ADC readings) – 8 total: EMG1–4 (right leg): Tibialis Anterior, Gastrocnemius Medialis, Gastrocnemius Lateralis, Soleus EMG5–8 (left leg): Tibialis Anterior, Gastrocnemius Medialis, Gastrocnemius Lateralis, Soleus Raw IMU channels – at least 3: IMU1: Right shank IMU2: Left shank IMU3: Right foot Channel names may appear next to corresponding data columns and are typically assigned as EMG1, EMG2, ..., IMU1, etc. Sensor-to-Muscle Mapping EMG1–EMG4 (right leg): Tibialis Anterior, Gastrocnemius Medialis, Gastrocnemius Lateralis, Soleus EMG5–EMG8 (left leg): Tibialis Anterior, Gastrocnemius Medialis, Gastrocnemius Lateralis, Soleus IMU1: Right shank IMU2: Left shank IMU3: Right foot Sensor Groupings (for analysis convenience) Right leg = IMU1 (shank) + IMU3 (foot) + EMG1–4 Left leg = IMU2 (shank) + EMG5–8 Processing Pipeline (as provided in the GitHub repository) Read CSV files grouped by action → subject → part. Preprocessing: EMG: ADC-to-voltage conversion, Hampel filter for outlier suppression (window ≈ 50 samples), band-pass filtering (0.2–400 Hz, 5th-order Butterworth), z-score normalization. IMU: Band-pass filtering (0.2–10 Hz, 5th-order Butterworth), z-score normalization. Metadata extraction: Each processed file results in a struct with subject, part, action, and filename, along with the data table. See the full MATLAB preprocessing scripts here: https://github.com/Sr933/exoskeleton