cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/gtl-s3a-s4a
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/x3wtpft93v.1
title: Cooperative Atlantic Menhaden Winter Survey 2022 biosamples

description: Raw Atlantic menhaden biological sampling data collected during 2022 Cooperative Atlantic Menhaden Winter Survey. Length and weight data were collected for all fish sampled, and a subset were selected for additional data collection (sex, maturity, eviscerated weight, and age). In RawCoopAtlMenBiosamples.csv, data elements include School_Number (school identification number; &gt;123 = port samples), Basket_Number (sampling basket number), FL (fork length in mm), TL (total length in mm), Whole_Weight (whole weight in kg), Sex (F=Female, M=Male, U=Unknown), Maturity_Code (0=not checked, 1=immature,2=mature resting, 3=mature ripe, 4 = mature spent, 9 = unknown), EvWeight (eviscerated weight in kg), Date (date collected), Data_Collection_Period (Survey at sea, PostSurvey at sea, PortSamples at port). Note that Basket_Number &gt;100 indicates same basket as 3rd digit but sampled at different workstation (ex: fish from basket 1 may have been processed at workstations 1 and 101). In RawCoopAtlMenBiosamplesAges.csv, additional data elements include Lab_Part (VIMS_OtoAgeRead2 = otolith-based ages read by VIMS, BFT_ScaleAgeRead = scale-based ages read by NOAA SEFSC Beaufort Laboratory) and Age (NA indicates sample deemed unreadable by ager).
DOI: 10.3535/127-lfw-0cs
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ze6-vp1-4kn
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/445-8jq-lj4
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5j1-zd1-4jl
title: Elatine L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0np-1ag-228
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zlf-52k-qny
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/a44-w8g-tne
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/j9d-a3t-a71
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/w3x8p3bf42
title: Actinic Keratosis in dermatoscopy and High-Frequency Ultrasound

description: Data supporting work: "Automatic Assessment of AK Stage Based on Dermatoscopic and HFUS Imaging—A Preliminary Study" DOI: https://doi.org/10.3390/jcm13247499

This dataset consist of 200 HFUS and dermatoscopic images registered from 63 patients with actinic keratosis (AK). All experiments were performed following the protocol approved by the Bioethics Committee at the Poznan University of Medical Sciences, under reference number 523/23 on 29 June 2023. This study was conducted at the Department of Dermatology of Poznan University of Medical Sciences from June 2023 to April 2024. For each marker (AK site) dermatoscopy picture were taken (iPhone 8 camera coupled to DermLite DL5, 10× magnification) and then high-frequency images (DermaScan C, a Cortex Technology, Aalborg, Denmark device, linear 20 MHz probe) were taken as well. 

For each lesion, the clinico-dermatoscopic classification of each AK based on a three-point Zalaudek scale was performed by 2 experienced dermatologists. In this dataset, 115 markers were classified as AK1, 51 as AK2 and 34 as AK3. Each patient is codes as PXXX, and each corresponding markers for patient are coded as PXXX_mX. Dermatosopy and HFUS images have corresponding names in folders HFUS and Dermatoscopic. Patient info (age and sex are presented in file patientID_age_sex.csv, where 0:Female, 1:Male). File markersID_staging.csv contains stage corresponding to each markers (where 1:AK1, 2:AK2, 3:AK3).

This research was supported by National Science Centre, Poland, research project No. 2023/07/X/ST6/00861 “The use of artificial intelligence methods in the diagnosis of actinic keratosis based on multimodal image data” and No. 2023/07/X/NZ5/00867 “The importance of high-frequency ultrasound in the assessment of actinic keratosis and the cancerization field”.
DOI: 10.3535/w81-dmv-8h5
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y0f-fzr-kg4
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010448.10fu
title: SH0010448.10FU

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/w3x8p3bf42.2
title: Actinic Keratosis in dermatoscopy and High-Frequency Ultrasound

description: Data supporting work: "Automatic Assessment of AK Stage Based on Dermatoscopic and HFUS Imaging—A Preliminary Study" DOI: https://doi.org/10.3390/jcm13247499

This dataset consist of 200 HFUS and dermatoscopic images registered from 63 patients with actinic keratosis (AK). All experiments were performed following the protocol approved by the Bioethics Committee at the Poznan University of Medical Sciences, under reference number 523/23 on 29 June 2023. This study was conducted at the Department of Dermatology of Poznan University of Medical Sciences from June 2023 to April 2024. For each marker (AK site) dermatoscopy picture were taken (iPhone 8 camera coupled to DermLite DL5, 10× magnification) and then high-frequency images (DermaScan C, a Cortex Technology, Aalborg, Denmark device, linear 20 MHz probe) were taken as well. 

For each lesion, the clinico-dermatoscopic classification of each AK based on a three-point Zalaudek scale was performed by 2 experienced dermatologists. In this dataset, 115 markers were classified as AK1, 51 as AK2 and 34 as AK3. Each patient is codes as PXXX, and each corresponding markers for patient are coded as PXXX_mX. Dermatosopy and HFUS images have corresponding names in folders HFUS and Dermatoscopic. Patient info (age and sex are presented in file patientID_age_sex.csv, where 0:Female, 1:Male). File markersID_staging.csv contains stage corresponding to each markers (where 1:AK1, 2:AK2, 3:AK3).

This research was supported by National Science Centre, Poland, research project No. 2023/07/X/ST6/00861 “The use of artificial intelligence methods in the diagnosis of actinic keratosis based on multimodal image data” and No. 2023/07/X/NZ5/00867 “The importance of high-frequency ultrasound in the assessment of actinic keratosis and the cancerization field”.
DOI: 10.3535/kzc-xeb-v9z
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s3b-66m-mbn
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010449.10fu
title: SH0010449.10FU

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/kd5-xwh-ayy
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q2b-33h-t9l
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010450.10fu
title: SH0010450.10FU

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: 10.3535/6e7-cpv-hry
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yap-tpa-7a2
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010451.10fu
title: SH0010451.10FU

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: 10.3535/72y-jry-nnw
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fc9-e18-7z9
title: Epilobium palustre L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010452.10fu
title: SH0010452.10FU

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: 10.3535/0k6-dhe-7cd
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010453.10fu
title: SH0010453.10FU

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: 10.3535/0za-vge-qez
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/qs4-xss-3bn
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010454.10fu
title: SH0010454.10FU

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.bwm39q
title: Occurrence Download

description: A dataset containing 4703 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Kakila database of marine mammal observation data around the French archipelago of Guadeloupe in the AGOA sanctuary - French Antilles"
 ]
}

 The dataset includes 4703 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/fts-tbr-ant
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rfy-jmg-qlh
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/7zh-rn8-l17
title: Epilobium hornemannii Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/z1v-gpb-qxq
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010455.10fu
title: SH0010455.10FU

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: 10.17632/68y7cppct8
title: Segmentation of skin layers on HFUS images using the attention mechanism - exper masks

description: The database is associated with the publication:
A. Slian, K. Korecka, A. Polanska, and J. Czajkowska, “Segmentation of skin layers on HFUS images using the attention mechanism,” Computer Methods and Programs in Biomedicine, vol. 263, pp. 1–11, 2025, doi: 10.1016/j.cmpb.2025.108668.
The dataset consists of high-frequency ultrasound (HFUS) images acquired using the DermaScan C device (Cortex Technology) with a 20 MHz probe. Each image has a resolution of 224 × 224 pixels. The images were collected from patients diagnosed with atopic dermatitis (AD).

The dataset contains the following components:
1. Original images – input HFUS images (224 × 224 px)
2. Entry echo layer masks – segmentation masks of the entry echo layer (224 × 224 px)
3. SLEB masks – segmentation masks of the subepidermal low echogenic band (SLEB), if present (224 × 224 px)
4. Dermis masks – segmentation masks of the dermis (224 × 224 px)

The file names are encoded as follows:
patientID_imageID.png, where imageID values 1 and 2 correspond to different time points.
Experts manually annotated the following skin layers (each covering half of the image height): the entry echo, the SLEB (if present), and the dermis.
DOI: 10.3535/c8f-sa8-z28
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/znj-m6g-5h2
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0010456.10fu
title: SH0010456.10FU

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: 10.17632/68y7cppct8.2
title: Segmentation of skin layers on HFUS images using the attention mechanism - exper masks

description: The database is associated with the publication:
A. Slian, K. Korecka, A. Polanska, and J. Czajkowska, “Segmentation of skin layers on HFUS images using the attention mechanism,” Computer Methods and Programs in Biomedicine, vol. 263, pp. 1–11, 2025, doi: 10.1016/j.cmpb.2025.108668.
The dataset consists of high-frequency ultrasound (HFUS) images acquired using the DermaScan C device (Cortex Technology) with a 20 MHz probe. Each image has a resolution of 224 × 224 pixels. The images were collected from patients diagnosed with atopic dermatitis (AD).

The dataset contains the following components:
1. Original images – input HFUS images (224 × 224 px)
2. Entry echo layer masks – segmentation masks of the entry echo layer (224 × 224 px)
3. SLEB masks – segmentation masks of the subepidermal low echogenic band (SLEB), if present (224 × 224 px)
4. Dermis masks – segmentation masks of the dermis (224 × 224 px)

The file names are encoded as follows:
patientID_imageID.png, where imageID values 1 and 2 correspond to different time points.
Experts manually annotated the following skin layers (each covering half of the image height): the entry echo, the SLEB (if present), and the dermis.
DOI: 10.3535/nkl-zk2-0cl
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/t34-zt5-49q
title: Hypericum maculatum Crantz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.