cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/5jn-r5h-rzn
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pdz-p4z-kgh
title: Crepis foetida L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6ma-nph-tah
title: Actinostemon concolor (Spreng.) Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/49k-556-y7c
title: Doliocarpus dentatus subsp. dentatus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tx5-04l-ve9
title: Memoremea scorpioides (Haenke) A. Otero, Jim. Mejías, Valcárcel & P. Vargas

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6mh-b61-wrf
title: Hypericum bourgaei (Boiss.) N. Robson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4c4-831-vjv
title: Arundinella ciliata Nees ex Miq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fdw-v29-nhq
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f49-n05-v1n
title: Eragrostis multiflora Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/by3-qp1-xja
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mhf-h8d-05k
title: Dimeria ornithopoda Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0dz-ykw-b5w
title: Achyranthes bidentata Blume

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/we0-mza-pak
title: Centrostachys aquatica (R. Br.) Wall.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/aja-svr-c0p
title: Viola arvensis Murray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m0d-x5n-wc6
title: Viola hirta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5qf-pk9-gjk
title: Achyranthes coynei Santapau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rvz-6zq-dcn
title: Peperomia portulacoides (Lam.) A. Dietr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b52-r1g-pq1
title: Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bf7-312-r1e
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1a8-93v-lm9
title: Agrostis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0c5-s6j-zww
title: Eragrostis gangetica (Roxb.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9d0-zsb-wy2
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0vd-9ln-n3m
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rlx-hja-rj3
title: Arundinella metzii Hochst. ex Miq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sdc-7xm-ck9
title: Festuca masatierrae Röser & Tkach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.h3b8t4
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setornis criniger",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 312 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061950-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2mw-eny-z7r
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rht-02h-8yz
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/674-kvg-y22
title: Agropyron cristatum (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xcf-6dm-xtv
title: Agrostis canina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1qk-jmp-2ec
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b5m-fac-mha
title: Astraea paulina Didr.

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

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis niloticus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061952-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d4vsy9c9wk
title: Automatic waste management dataset

description: Dataset Description: Automatic Waste Classification

This dataset is designed for training and evaluating machine learning models in the task of automatic waste classification. It contains 1973 images categorized into five distinct waste types:

Categories:

Paper Waste

Organic Waste

Leather Waste

Plastic Waste

Glass Waste

Each category folder contains relevant images captured under real-world conditions to reflect typical waste appearances.

Dataset Structure:

Automatic Waste Classification/
├── Paper Waste/
├── Organic Waste/
├── Leather Waste/
├── Plastic Waste/
└── Glass Waste/
Data Collection Details:

Collection Locations:

Puran Dhaka,Dhaka,Bangladesh
Shewrapara,Dhaka,Bangladesh
Kathalbagan Bazaar,Dhaka,Bangladesh
Ashulia,Dhaka,Bangladesh

The dataset aims to support smart waste management applications, including automated sorting systems, environmental monitoring tools, and AI-driven recycling solutions.
DOI: 10.3535/aqw-vvx-0ns
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hw9-j4g-xml
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pcb-ett-1va
title: Agrostis alpina Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/d4vsy9c9wk.2
title: Automatic waste management dataset

description: Dataset Description: Automatic Waste Classification

This dataset is designed for training and evaluating machine learning models in the task of automatic waste classification. It contains 1973 images categorized into five distinct waste types:

Categories:

Paper Waste

Organic Waste

Leather Waste

Plastic Waste

Glass Waste

Each category folder contains relevant images captured under real-world conditions to reflect typical waste appearances.

Dataset Structure:

Automatic Waste Classification/
├── Paper Waste/
├── Organic Waste/
├── Leather Waste/
├── Plastic Waste/
└── Glass Waste/
Data Collection Details:

Collection Locations:

Puran Dhaka,Dhaka,Bangladesh
Shewrapara,Dhaka,Bangladesh
Kathalbagan Bazaar,Dhaka,Bangladesh
Ashulia,Dhaka,Bangladesh

The dataset aims to support smart waste management applications, including automated sorting systems, environmental monitoring tools, and AI-driven recycling solutions.
DOI: 10.3535/lr8-hw9-yt4
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tzk-sbh-y06
title: Croton adenocalyx Baill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5td-y2b-g5p
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sm1-j3v-ytq
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gfl-1rf-b5y
title: Doliocarpus gentryi Aymard & J. Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tah-qfn-ldc
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eyv-zwv-965
title: Agrostis alpina Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y15-nfd-78p
title: Acalypha macrostachya Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/adt-47s-key
title: Euphorbia heterophylla L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k8n-0mv-tmy
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g94-mey-e7l
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qpc-7mm-0bt
title: Achyranthes sicula (L.) All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5vs-4a5-26z
title: Achyranthes sicula (L.) All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jvr-2nt-5zn
title: Noccaea ochroleuca (Boiss. & Heldr.) F. K. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8af-nqr-hpd
title: Achyranthes sicula (L.) All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h40-fgw-gb7
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.tjg4fq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis niloticus",
 "Country is Brunei Darussalam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061953-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/58w-dwt-gkv
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fhg-hr7-ey3
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z39-fy0-sl8
title: Noccaea ochroleuca (Boiss. & Heldr.) F. K. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b6r-pq2-rny
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lz0-pgv-wtk
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1re-f4c-6em
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/xhs3xb5ftj
title: Bivariate Mapping of Rainfall, Groundwater Level, and Landcover

description: Bivariate Mapping of Rainfall, Groundwater Level, and Landcover: 
This dataset contains a complete, reproducible workflow for spatial, bivariate analysis of rainfall, groundwater level, and landcover at the regional scale. All source code (R scripts) is organized for clarity, rigour, and cross-platform use following open science best practices. Raster datasets (GeoTIFFs), output maps, and derived tables are included, along with a README.md, LICENSE, and package-locked environment via renv for transparency.

Key features:
1. Bivariate mapping of rainfall and groundwater using the biscale approach.
2. Landcover–groundwater relationships, including custom categorical–continuous legends.
3. All R code is well-commented, modular, and ready for use in teaching or derivative studies.
4. Scripted workflow ensures figures are fully reproducible from raw inputs.
5. Includes helper functions and robust error-handling for flexible adaptation.
6. Supplemented with detailed README and session information for review and provenance.

Typical applications:
Hydrological assessment, aquifer mapping, GIS education, reproducible environmental research.
DOI: 10.3535/33t-zyr-te8
title: Corispermum filifolium C. A. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ary-dnm-2z3
title: Potamogeton coloratus Hornem.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hlx-9mh-6ge
title: Molinia caerulea (L.) Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xck-v1k-01y
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/xhs3xb5ftj.1
title: Bivariate Mapping of Rainfall, Groundwater Level, and Landcover

description: Bivariate Mapping of Rainfall, Groundwater Level, and Landcover: 
This dataset contains a complete, reproducible workflow for spatial, bivariate analysis of rainfall, groundwater level, and landcover at the regional scale. All source code (R scripts) is organized for clarity, rigour, and cross-platform use following open science best practices. Raster datasets (GeoTIFFs), output maps, and derived tables are included, along with a README.md, LICENSE, and package-locked environment via renv for transparency.

Key features:
1. Bivariate mapping of rainfall and groundwater using the biscale approach.
2. Landcover–groundwater relationships, including custom categorical–continuous legends.
3. All R code is well-commented, modular, and ready for use in teaching or derivative studies.
4. Scripted workflow ensures figures are fully reproducible from raw inputs.
5. Includes helper functions and robust error-handling for flexible adaptation.
6. Supplemented with detailed README and session information for review and provenance.

Typical applications:
Hydrological assessment, aquifer mapping, GIS education, reproducible environmental research.
DOI: 10.3535/4tk-g7l-fx6
title: Potamogeton coloratus Hornem.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p5l-s0s-0tn
title: Croton argentealbidus Radcl.-Sm. & Govaerts

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s0c-f5k-gby
title: Croton hostmannii Miq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3rq-tzb-yv3
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mcv-h67-ffl
title: Garcinia corallina Vieill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1nl-p1j-c85
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ezp-4qy-mpk
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/88b-4a1-j7c
title: Typha minima Funck

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gg0-1yj-r4j
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.c6mf9b
title: Occurrence Download

description: A dataset containing 65183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Symplocos shilanensis, Osmanthus marginatus, Magnolia kachirachirai, Ilex lonicerifolia matsudai, Ilex maximowicziana, Neolitsea buisanensis, Garcinia multiflora, Astronia formosana, Melastoma candidum, Lithocarpus amygdalifolius, Ardisia quinquegona, Gordonia axillaris, Ficus formosana, Elaeocarpus sylvestris, Aglaia formosana, Drypetes littoralis, Cryptocarya concinna, Macaranga tanarius, Syzygium formosanum, Itea oldhamii, Antidesma japonicum densiflorum, Randia cochinchinensis, Pyrenaria shinkoensis, Wendlandia formosana, Myrica rubra, Castanopsis cuspidata carlesii, Ilex asprella, Ilex ficoidea, Cyclobalanopsis glauca, Zelkova serrata, Carpinus kawakamii, Acer albopurpurascens, Styrax suberifolius, Fraxinus griffithii, Pinus taiwanensis, Rhododendron rubropilosum, Pieris taiwanensis, Pinus armandii mastersiana, Juniperus formosana, Quercus spinosa, Alnus formosana, Deutzia pulchra, Debregeasia orientalis, Stachyurus himalaicus, Aralia bipinnata, Stachyurus himalaicus, Rubus formosensis, Ulmus uyematsui, Acer morrisonense, Boehmeria densiflora, Mallotus japonicus, Acacia confusa, Trema orientalis, Morus australis, Mallotus paniculatus, Cyathea lepifera, Scaevola taccada, Pandanus odoratissimus, Hibiscus tiliaceus, Premna serratifolia, Maytenus diversifolia, Rhus javanica roxburghii, Leucaena leucocephala, Kandelia obovata, Avicennia marina, Lumnitzera racemosa, Pluchea indica, Clerodendrum inerme)"
 ]
}

 The dataset includes 65183 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061932-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2vt-g7l-6r1
title: Peperomia glabella (Sw.) A. Dietr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l5r-erh-vg9
title: Galium canum subsp. antalyense Ehrend.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qeq-ckm-nav
title: Cyathula cylindrica Moq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y1f-jjn-spy
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/72z-cer-2mh
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xc1-qf8-5b1
title: Achyranthes sicula (L.) All.

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

description: A dataset containing 6608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ognorhynchus icterotis"
 ]
}

 The dataset includes 6608 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061954-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7tf-lpx-e3p
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z2a-w1a-25l
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fgt-4lc-0wn
title: Actinostemon concolor (Spreng.) Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.dekm2u
title: Occurrence Download

description: A dataset containing 2739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternanthera caracasana Kunth)"
 ]
}

 The dataset includes 2739 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091127-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/zxu2wo
title: 0269.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/ak0c9z
title: 0301.TextGrid

description: :unav
DOI: 10.15468/dl.7a35rj
title: Occurrence Download

description: A dataset containing 5926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus palmeri S.Watson"
 ]
}

 The dataset includes 5926 records from 264 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091125-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8297801
title: RGB UAV plants imge dataset

description: Dataset Overview: Plant Species UAV Image Dataset (PSUID)

The Plant Species UAV Image Dataset (PSUID) is a comprehensive collection of high-resolution RGB images captured by an unmanned aerial vehicle (UAV) to facilitate the accurate identification and classification of plant species in heterogeneous plant areas. The dataset was meticulously collected and processed as part of a study conducted at Parco delle Cave in Brescia, Italy.

Dataset Highlights:



Title: Plant Species UAV Image Dataset (PSUID)

Focus Area: Parco delle Cave, Brescia, Italy

Data Source: UAV-collected RGB images

Classes and Descriptions:



Agropyron repens

Ailanthus altissima

Arrhenatherum elatius 

Artemisia verlotiorum

Populus nigra

Rubus caesius

Ulmus minor




Methodology:





Study Area:



The study focuses on a one-hectare agricultural property within Parco delle Cave in Brescia, Lombardy, Italy.





Data Acquisition:



UAV flight on May 30, 2022, using a Mavic 2 Pro equipped with a Hasselblad L1D-20MP camera.

Flight parameters: 30 meters above ground, 4 ground control points, 319 images captured.





Image Processing:



Orthomosaic and digital surface model (DSM) generated using Agisoft Metashape.

Segmentation using eCognition software with multi-resolution and spatial difference segmentation.





Supervised Learning:



Training samples selected using color indicators for accurate species identification.

Classification using the K-nearest neighbor (KNN) algorithm in eCognition software.





Data Extraction and Preparation:



Plant species images extracted using ArcGIS software.

Creation of a comprehensive dataset with 782 images across seven plant species classes.




 

The data is published at https://www.mdpi.com/2504-446X/7/10/599