cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18641021
title: TSML Imbalanced Univariate Time Series Classification Archive

description: A single zip containing 76 univariate time series classification problems artificially imbalanced to test the effectiveness of rebalancing algorithms. Data originally from the UCR and the time series regression archives. The data is in the aeon-toolkit format , for more information, see the  aeon data loading documentation

 

 
description: this is a collection of imbalanced time series classification problem derived from the UCR archive and other problems donated to https://timeseriesclassification.com.

We converted each to a binary classification task. We assigned the class with the fewest samples as the minority class. In situations where multiple classes had equal sample sizes, we arbitrarily selected the last class as the minority class, assigning the remaining classes to the majority class. To introduce  class imbalance, we randomly removed samples from minority class set of the binary-class datasets, ensuring a majority-to-minority ratio of at least 9:1.

If you want to reference these data, please cite this paper

@incollection{qiu25esmote,  title={{e-SMOTE}: a train set rebalancing algorithm for time series classification},  author={C. Qiu and M. Middlehurst and C. Holder and  A. Bagnall},  booktitle={Proceedings of 10th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD) at ECML/PKDD},  series = {Lecture Notes in Artificial Intelligence},  year={2025}}

which is part of this LNCS volume. More information about these datasets is Paper repo
DOI: 10.3535/lhk-2dw-bwz
title: Carex × evoluta Hartm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/t4l-7bk-gyc
title: Carex muricata subsp. ashokae Molina Gonz., Acedo & Llamas

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y54-nw1-1q7
title: Carex × evoluta Hartm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dmr-8w1-3dh
title: Carex × evoluta Hartm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.xvqyxa
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Physaria scrotiformis"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029880-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/cgjsa
title: Drinking to Belong: How Loneliness Fuels Alcohol-Related Consequences

description: This registration contains materials and data-related files for the manuscript entitled, "Drinking to Belong: How Loneliness Fuels Alcohol-Related Consequences," to be published in the Journal of Social Psychology. In this research, we explore how feelings of loneliness are related to alcohol-related consequences, and whether this is mediated by coping, social, enhancement, and conformity drinking motives over 12 months in a sample of 591 heavy-drinking college students. Generalized linear mixed models are utilized. The primary outcome is alcohol-related consequences.
DOI: 10.15468/dl.83nthv
title: Occurrence Download

description: A dataset containing 26705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cacicus chrysonotus",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26705 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029879-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18701839
title: CAMBER Dataset – Road Survey Video #5

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Route distance: 10.90 km
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-19 15:59:28 UTC
- Duration: 0.93 hours

**Processing Information:**
- Video ID: 5
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 10

**Machine Learning Model:**
- Model: models/Yolov8-fintuned-on-potholes.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.5281/zenodo.18701840
title: CAMBER Dataset – Road Survey Video #5

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Route distance: 10.90 km
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-19 15:59:28 UTC
- Duration: 0.93 hours

**Processing Information:**
- Video ID: 5
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 10

**Machine Learning Model:**
- Model: models/Yolov8-fintuned-on-potholes.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.15468/dl.y252m8
title: Occurrence Download

description: A dataset containing 3331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes ichneumon",
 "Year 2008-2024"
 ]
}

 The dataset includes 3331 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029881-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62r9wr
title: Occurrence Download

description: A dataset listing the 2497 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.18_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 2497 records were derived from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029863-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2350314450
title: ARF

description: The goal of the project is to determine how ARF transcription factors are able to bind various pair of cis-element organized in
different orientation (direct-repeat, everted-repeat or inverted repeat).
DOI: 10.17882/107233
title: EasyOneArgo data product

description: To deliver the best Argo data to users in the simplest way, No QC flags; No data mode; No manuals - Just straight forward good data
The Argo program provides an unprecedented volume of oceanographic data, yet its operational complexity — involving multiple data modes, quality control flags, and metadata conventions — often hinders its direct usage. The EasyOneArgo initiative addresses this challenge by delivering simplified, high-quality subsets of Argo data, specifically designed to streamline user access and integration.
We introduce two core products: EasyOneArgoTS, a curated selection of temperature-salinity profiles filtered by strict quality criteria and optimized across real-time, adjusted, and delayed modes; and EasyOneArgoTSLite, its vertically interpolated counterpart standardized over 102 pressure levels. Each profile is packaged as a standalone CSV file with structured metadata, and indexed for seamless retrieval. Visual comparisons reveal clear advantages in usability and consistency, notably between raw and interpolated datasets.
The approach is being extended to biogeochemical variables via EasyOneArgoBGC and EasyOneArgoBGCLite, currently under development. EasyOneArgo products are publicly available through monthly FAIR-compliant releases and invite community feedback for continued refinement.
This work represents a user-centric shift in Argo data delivery: no flags, no manuals — just clean, structured ocean data ready for immediate scientific application.
DOI: 10.17882/112127
title: High-resolution inertial biologging data for bowhead whales in Canadian Arctic, Cumberland Sound

description: In total 23 bowhead whales were tagged with CATS tags during the summer of 2023 and 2024 in Cumberland Sound, Nunavut, Canada.
In total 10 deployment (9.43 hours), which had concurrent video validated kinematic data was used to determine the following results for feeding and non-feeding dives of bowhead whales:
 - Dive metrics 
 - Changes in fluke stroke frequency 
 - kinematic signature
DOI: 10.3535/qn2-zl5-elf
title: Scutellaria brevibracteata Stapf

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.hmh9tn
title: Occurrence Download

description: A dataset containing 4280 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetragnatha laboriosa"
 ]
}

 The dataset includes 4280 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029882-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/l5p-w3q-1er
title: Lecidea

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5p1-hmv-zrd
title: Lecidea

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e34-rg3-4nd
title: Centropogon laxus Zahlbr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9nx-jh3-x62
title: Thymus longicaulis subsp. longicaulis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0w3-0pf-2jx
title: Allium rotundum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sgk-sc3-vf1
title: Dactylorhiza iberica (M.Bieb. ex Willd.) Soó

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.sry2qm
title: Occurrence Download

description: A dataset containing 4609 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Caprimulgus aegyptius"
 ]
}

 The dataset includes 4609 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029883-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/exn-61p-d1c
title: Lamium garganicum subsp. striatum (Sm.) Hayek

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vna-cy3-29w
title: Asyneuma virgatum subsp. virgatum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5mw-2zl-tyc
title: Cynanchica tenella (Heuff. ex Degen) P.Caputo & Del Guacchio

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/m5z-6dn-lvb
title: Pilosella macrotricha (Boiss.) F. W. Schultz & Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/grb-45f-e7n
title: Juncus anatolicus Snogerup

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zqn-hhj-tlq
title: Hieracium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9g6-gzp-kr6
title: Astragalus nabelekii Czeczott

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/g9f-sa1-nfh
title: Astragalus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/140-15l-7sa
title: Stachys byzantina K.Koch

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3bt-280-vbb
title: Saxifraga cymbalaria subsp. cymbalaria

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jdh-23a-y4g
title: Astragalus angustifolius subsp. angustifolius

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zwj-rmv-3yd
title: Allium olympicum Boiss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6sd-khh-lfs
title: Teucrium polium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5n5-0py-8hq
title: Myosotis laxa (Sam.) Hyl. ex Nordh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d63-t70-50v
title: Dactylorhiza iberica (M.Bieb. ex Willd.) Soó

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1kb-0le-dbn
title: Dactylorhiza incarnata (L.) Soó

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ffr-0ms-n6g
title: Linaria corifolia Desf.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ghg-5e6-ga3
title: Carex panicea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mvc-q1a-txt
title: Crucianella angustifolia L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jkg-0fh-13r
title: Dactylorhiza majalis subsp. nieschalkiorum (H.Baumann & Künkele) H.A.Pedersen, P.J.Cribb & Rolf Kühn

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xr5-p1a-c4y
title: Silene caryophylloides subsp. stentoria (Fenzl) Coode & Cullen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/klf-990-7wr
title: Arenaria filicaulis subsp. filicaulis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nmb-d7c-7py
title: Asyneuma virgatum subsp. virgatum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/frh-alz-1rx
title: Dianthus balansae Boiss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k52-bz9-xad
title: Myosotis olympica Boiss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w36-9e6-00s
title: Cynanchica nitida subsp. subcapitellata (Ehrend.) P.Caputo & Del Guacchio

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cbz-93n-ra4
title: Trifolium barbulatum (Freyn & Sint.) Zohary

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ejg-qln-bx9
title: Medicago papillosa Boiss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/csf-0sy-kkp
title: Goekyighitia pygmaea subsp. pygmaea

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wtz-hy7-l8y
title: Centaurea paphlagonica (Bornm.) Wagenitz

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s0n-krt-k3q
title: Eleocharis quinqueflora (Hartmann) O.Schwarz

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/van-fc2-9e8
title: Stuckenia pectinata (L.) Börner

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d71-ds9-hp0
title: Bromus erectus Huds.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d8e-wmq-rs7
title: Potamogeton berchtoldii Fieber

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lpw-hef-a07
title: Beckmannia eruciformis (L.) Host

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s67-g2x-979
title: Poa persica Trin.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6073/pasta/10be30d226fd95eeda2819b9e5761fe2
title: GPD01 Grass chemistry and drought tolerance in response to bison grazing at konza prairie, 2023

description: Leaf-level physiology was collected on four abundant grass species at Konza Prairie Biological Station in the summer of 2023. Grasses were sampled near bison wallows, in adjacent grazed prairie, and in ungrazed bison exclosures. Soil cation and nutrient concentrations were collected in October 2023 at each location. Data were used to assess how bison grazing and wallowing affect grass physiology and soil nutrients at fine spatial scales. Measurements included light response curves to quantify maximum electron transport rates, turgor loss point, and foliar 13C , and C, N, P, and K content at four time points across the growing season from June through August. 
 
 
 Focal species included Andropogon gerardii (C4 panicoid), Sorghastrum nutans (C4 panicoid), Dicanthelium oligosanthes (C3 panicoid), and Bouteloua dactyloides (C4 chloridoid).
DOI: 10.3535/e2y-fgl-phf
title: Cynanchica tenella (Heuff. ex Degen) P.Caputo & Del Guacchio

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/je8-ga6-a6v
title: Prometheum sempervivoides (M. Bieb.) H. Ohba

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/r5t-qvs-7lw
title: Hypericum linarioides Bosse

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rrv-z6l-qxn
title: Eleocharis uniglumis (Link) Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.18697070
title: 202601 - Vessel detections from Sentinel 2

description: Vessel detections with Sentinel-2 satellite imagery from 2019 to 14 days ago. Multiyear detection of vessels with respective length, speed and orientation estimates based on deep-learning models applied to electro-optical imagery (RGB and near-infrared) at 10-m resolution covering most exclusive economic zones and marine protected areas across the ocean.

Sentinel-2 detections are  based on electro-optical imagery at 10-m resolution. Compared with our published Sentinel-1 detections based on SAR imagery at 20-m resolution, Sentinel-2 allows detecting smaller vessels with all types of vessel materials, in contrast with the weakness of SAR imagery on revealing vessels made of wood and fiberglass. Sentinel-2 also images the wakes of moving vessels, which further increase the detectability of small vessels and allow us to infer the vessels’ speed and orientation.The rich information contained in the optical imagery can be used to map not only vessel presence, but also vessel activities such as vessel encounters and bottom trawling. Sentinel-2 also covers more area of the ocean than Sentinel-1, and the novel neural-net detection approach does not require the exclusion of near-shore regions (as opposed to the CFAR approach), allowing detection of vessels in highly-packed areas all the way to the shoreline where most human activity is concentrated. Overall, with Sentinel-2 imagery we are able to detect about 3 times more vessels, “see” a broader range of vessel lengths and types, and infer more information of vessel activities than in our previous mapping using Sentinel-1 imagery.
DOI: 10.3535/lak-tv3-6h3
title: Salvia tomentosa Mill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tnw-bax-apc
title: Phlomis armeniaca Willd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.