cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/1hp-v25-rs9
title: Naria spurca (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bph-0mx-d00
title: Vermetidae Rafinesque, 1815

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/3nwnr9f6gv.1
title: Decoding Felsic Lithologies on the Rocky Worlds from Remote Infrared Observations

description: Data and products associated with this manuscript.
DOI: 10.3535/6wv-rgt-dxe
title: Alvania cancellata (da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/spg-m2z-wjm
title: Turritellinella tricarinata (Brocchi, 1814)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7qc-y9z-f54
title: Linatella caudata (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nzv-9cr-j95
title: Sinum perspectivum (Say, 1831)

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

description: A dataset containing 2073 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cenostigma bracteosum"
 ]
}

 The dataset includes 2073 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005195-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7k1-whq-q28
title: Libinhania balfourii (F. Vierh.) N. Kilian, Galbany, Oberpr. & A. G. Mill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q7g-789-n2y
title: Asplenium vieillardii Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pjc-fp6-c1n
title: Campyloneurum lorentzii (Hieron.) Ching

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/49h-xq1-b1n
title: Asplenium vieillardii Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wd0-dk1-26c
title: Helichrysum glumaceum DC.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cf0-tvf-cbt
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z16-9hv-sa8
title: Libinhania sphaerocephala (Balf. fil.) N. Kilian, Galbany, Oberpr. & A. G. Mill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cer-scc-ygz
title: Aira elegans Willd. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q4y-2mw-tb8
title: Amelanchier utahensis Koehne

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2ez-prl-37e
title: Dicksonia stuebelii Hieron.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4ey-3s8-bs5
title: Hymenophyllum geluense Rosenst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/r1d-4bs-81d
title: Hieracium pannosum Boiss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1na-vwb-7w5
title: Trichodesma africanum (L.) R. Br.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/x1m-xbz-gjb
title: Pontederia africana (Solms) M.Pell. & C.N.Horn

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tza-evp-rxm
title: Trichodesma africanum (L.) R. Br.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0g9-27s-wn6
title: Impatiens tinctoria A. Rich.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s0x-v3t-wbw
title: Trichodesma africanum (L.) R. Br.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4et-cte-bde
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nv6-s4w-4ak
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/a55-vaq-ff8
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l3p-vke-x5g
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/khb-ff6-8ky
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.56vsac
title: Occurrence Download

description: A dataset containing 3974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri (Scopoli, 1769)",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3974 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112800-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1s6-y54-4c0
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n1f-xzc-gt0
title: Dicksonia L'Hér.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4hm-1xr-y6n
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kzp-0l8-jpj
title: Dicksonia L'Hér.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6084/m9.figshare.29526137
title: HNSC clustering without annotation

description: Clustering of HNSC datasets using scMorpher models without prior cluster annotations.
DOI: 10.6084/m9.figshare.29526137.v1
title: HNSC clustering without annotation

description: Clustering of HNSC datasets using scMorpher models without prior cluster annotations.
DOI: 10.3535/832-ckx-tbp
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lns-3c9-wg0
title: Dicksonia L'Hér.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.8dhkjw
title: Occurrence Download

description: A dataset containing 9760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri (Scopoli, 1769)",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9760 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112799-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7a1-blj-swe
title: Dicksonia L'Hér.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8wl-f3x-m0r
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vq8-vsk-5pv
title: Melanoseris graciliflora (DC.) N. Kilian

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f1h-qt1-yc8
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y4h-l9d-aly
title: Melanoseris graciliflora (DC.) N. Kilian

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3tt-w80-27l
title: Melanoseris cyanea (D. Don) Edgew.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tga-lw3-yhj
title: Dicksonia L'Hér.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6084/m9.figshare.29526071.v1
title: <b>Effects of vitamin D supplementation combined with exercise on </b><b>glucolipid metabolism</b><b> in adults:</b><b>A</b><b> meta-analysis</b>

description: data
DOI: 10.3535/xve-60v-0yk
title: Argophyllum ellipticum Labill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zj1-xk8-2gw
title: Eurybia sibirica (L.) G. L. Nesom

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d2a-f3j-vlc
title: Hieracium gymnocephalum Griseb. ex Pant.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y29-jxj-whm
title: Melanoseris graciliflora (DC.) N. Kilian

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bj6-vfa-dgv
title: Melanoseris graciliflora (DC.) N. Kilian

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6084/m9.figshare.29526071
title: <b>Effects of vitamin D supplementation combined with exercise on </b><b>glucolipid metabolism</b><b> in adults:</b><b>A</b><b> meta-analysis</b>

description: data
DOI: 10.3535/c9h-dz5-ky1
title: Muscari neumannii (Böhnert & Lobin) Böhnert

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lvs-8my-vcy
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/at0-c07-vey
title: Impatiens hawkeri W. Bull

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dxn-plv-9h2
title: Aira elegans Willd. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k0r-3kh-dht
title: Aira caryophyllea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.34740/kaggle/dsv/11608205
title: Traffictab23
DOI: 10.17632/79pn92jpr2
title: Data for publication

description: The repository contains a dataset derived from the characterization of lignocellulosic residues from agricultural activities in the state of Zacatecas, Mexico, with a focus on their potential valorization for activated carbon production. The information is organized in folders and files in Excel and QGIS-compatible formats, enabling both statistical analysis and spatial representation.
The repository structure includes:
QGIS Data folder: vector and raster files in QGIS-compatible formats, representing land use distribution, municipal and hydrological boundaries, and thematic maps of vegetation cover and crop areas.
Coordinates by Municipality folder: an Excel file containing the geographic coordinates of municipalities where agricultural residues were collected and characterized.
Quantitative Analysis folder: Excel files with data on harvested area, production volume, yields, and estimated residue generation by crop.
Physicochemical characterization files: tables with experimental results on cellulose, hemicellulose, lignin, ash, and nutrient content (nitrates and phosphates) obtained under standardized methodologies.
Valorization tables: consolidated information on the conversion potential of residues to activated carbon (kg AC/ton of residue), residue types, and possible applications.
DOI: 10.17632/79pn92jpr2.3
title: Data for publication

description: The repository contains a dataset derived from the characterization of lignocellulosic residues from agricultural activities in the state of Zacatecas, Mexico, with a focus on their potential valorization for activated carbon production. The information is organized in folders and files in Excel and QGIS-compatible formats, enabling both statistical analysis and spatial representation.
The repository structure includes:
QGIS Data folder: vector and raster files in QGIS-compatible formats, representing land use distribution, municipal and hydrological boundaries, and thematic maps of vegetation cover and crop areas.
Coordinates by Municipality folder: an Excel file containing the geographic coordinates of municipalities where agricultural residues were collected and characterized.
Quantitative Analysis folder: Excel files with data on harvested area, production volume, yields, and estimated residue generation by crop.
Physicochemical characterization files: tables with experimental results on cellulose, hemicellulose, lignin, ash, and nutrient content (nitrates and phosphates) obtained under standardized methodologies.
Valorization tables: consolidated information on the conversion potential of residues to activated carbon (kg AC/ton of residue), residue types, and possible applications.
DOI: 10.17632/dhjdww5xsj
title: Flowering phenology traits of four plant communities in the high Andes of Chile

description: Two sites were selected in the middle part of the subalpine belt (Sites I and II) and two in the upper part of the alpine belt (Sites III and IV) in the Andes of Central Chile. On each site, 10 individuals were marked per plant species. The total numbers of species per site fluctuated from 20 to 36, with fewer species on the two upper alpine sites due to the lower species richness there. Rare species where 10 individuals could not be found were not included. As of snowmelt, the sites were visited at five-day intervals until the end of the flowering season, from September 11th, 2018, to May 15th, 2019, spanning a continuous period of 35 weeks. On each observation date, all individuals of a species that were in flower were registered and the number of open flowers per plant counted. For plants with very large number of flowers, the number of open flower-bearing branches was counted. For large flat cushion plants, flowering in 10 cm x 10 cm fixed quadrats running across the diameter of the cushion was recorded. For annual species where the density of individuals was very high, quadrats were used to quantity flowering. 
Five calendar-based floral traits and six thermal sum-based traits were defined, giving a total of 11 flowering traits. The calendar-based traits were:
1. Calendar day to first individual per species that flowered (FFDOY)
2. Days from snowmelt to first flowering (FF)
3. Peak flowering plants (PFP), expressed as days from snowmelt to maximum number of plants in flower
4. Peak floral abundance (PFA), expressed as days from snowmelt to the maximum number of open flowers
5. Flowering season length (FSL)
Thermal sum-based traits were expressed in Growing Degree Days (GDD) which gave the accumulated heat required for achieving reproductive milestones (FF, PPF and PFA). The biofix day was the date of snowmelt. Following other alpine studies, GDDs were calculated for TBASE = 5 ◦C and TBASE = 0 ◦C (GDD0 and GDD5) using hourly temperatures recorded at 1.5 m a.g.l HOBO U23 Pro v2 battery-powered sensors. The two measures of GDD were calculated with HOBOware using the double sine method with no upper threshold. Calculation of GDD for the aforementioned reproductive milestones resulted in six GDD-based traits (GDD0FF; GDD5FF; GDD0PFP; GDD5PFP; GDD0PFA and GDD5PFA).
Additionally, Bayesian inference phylogenetic tree of the study site species is provided.
DOI: 10.17632/dhjdww5xsj.1
title: Flowering phenology traits of four plant communities in the high Andes of Chile

description: Two sites were selected in the middle part of the subalpine belt (Sites I and II) and two in the upper part of the alpine belt (Sites III and IV) in the Andes of Central Chile. On each site, 10 individuals were marked per plant species. The total numbers of species per site fluctuated from 20 to 36, with fewer species on the two upper alpine sites due to the lower species richness there. Rare species where 10 individuals could not be found were not included. As of snowmelt, the sites were visited at five-day intervals until the end of the flowering season, from September 11th, 2018, to May 15th, 2019, spanning a continuous period of 35 weeks. On each observation date, all individuals of a species that were in flower were registered and the number of open flowers per plant counted. For plants with very large number of flowers, the number of open flower-bearing branches was counted. For large flat cushion plants, flowering in 10 cm x 10 cm fixed quadrats running across the diameter of the cushion was recorded. For annual species where the density of individuals was very high, quadrats were used to quantity flowering. 
Five calendar-based floral traits and six thermal sum-based traits were defined, giving a total of 11 flowering traits. The calendar-based traits were:
1. Calendar day to first individual per species that flowered (FFDOY)
2. Days from snowmelt to first flowering (FF)
3. Peak flowering plants (PFP), expressed as days from snowmelt to maximum number of plants in flower
4. Peak floral abundance (PFA), expressed as days from snowmelt to the maximum number of open flowers
5. Flowering season length (FSL)
Thermal sum-based traits were expressed in Growing Degree Days (GDD) which gave the accumulated heat required for achieving reproductive milestones (FF, PPF and PFA). The biofix day was the date of snowmelt. Following other alpine studies, GDDs were calculated for TBASE = 5 ◦C and TBASE = 0 ◦C (GDD0 and GDD5) using hourly temperatures recorded at 1.5 m a.g.l HOBO U23 Pro v2 battery-powered sensors. The two measures of GDD were calculated with HOBOware using the double sine method with no upper threshold. Calculation of GDD for the aforementioned reproductive milestones resulted in six GDD-based traits (GDD0FF; GDD5FF; GDD0PFP; GDD5PFP; GDD0PFA and GDD5PFA).
Additionally, Bayesian inference phylogenetic tree of the study site species is provided.
DOI: 10.17632/9d96592r58
title: SentinelCAR Dataset

description: The SentinelCAR Dataset addresses the growing need for security in the context of electric mobility and shared vehicles. The dataset consists of annotated images captured with a single fisheye camera mounted on the vehicle ceiling, providing a 180° view through the four windows. To preserve privacy and focus only on relevant activity, the images include applied masks, so that only the content visible through the windows is available for analysis. The dataset supports research on object detection and activity classification, and accompanies the study “Sentinel Mode Using Sensor Fusion for Improving Security in Shared Vehicles” (published in IEEE Access).

Contents:

 - Images: 18,308 frames in JPG/PNG format, captured from shared vehicle scenarios.

 - YOLO Annotations: 14,108 text files in YOLO format, with two activity-based classes:

 0 – Person_Active: Person actively interacting inside the vehicle.

 1 – Person_Not_Active: Person present but not actively engaged.

Classification Strategy:

 In addition to bounding-box annotations, an image-level classification dataset is derived automatically:

 Active: Assigned if at least one Person_Active (class 0) is present.

 Not_Active: Assigned if the image contains only Person_Not_Active (class 1) or no persons at all.

 This straightforward yet effective approach enables image-level activity classification directly from the object detection annotations.

Included Scripts:

 - prepare_classification_dataset.py – Generates the classification dataset using the above logic. Splits data into train/val/test sets while maintaining class balance and directory structure.

 - split_object_detection.py – Organizes the dataset for YOLO object detection training, preserving the correspondence between images and bounding-box annotations across train/val/test splits.

Potential Applications:

- Training models for detecting Active vs. Not_Active persons in shared vehicles.

- Research in computer vision for automotive security and surveillance.

- Benchmarking supervised learning methods for object detection and activity classification in real-world mobility scenarios.
DOI: 10.17632/9d96592r58.1
title: SentinelCAR Dataset

description: The SentinelCAR Dataset addresses the growing need for security in the context of electric mobility and shared vehicles. The dataset consists of annotated images captured with a single fisheye camera mounted on the vehicle ceiling, providing a 180° view through the four windows. To preserve privacy and focus only on relevant activity, the images include applied masks, so that only the content visible through the windows is available for analysis. The dataset supports research on object detection and activity classification, and accompanies the study “Sentinel Mode Using Sensor Fusion for Improving Security in Shared Vehicles” (published in IEEE Access).

Contents:

 - Images: 18,308 frames in JPG/PNG format, captured from shared vehicle scenarios.

 - YOLO Annotations: 14,108 text files in YOLO format, with two activity-based classes:

 0 – Person_Active: Person actively interacting inside the vehicle.

 1 – Person_Not_Active: Person present but not actively engaged.

Classification Strategy:

 In addition to bounding-box annotations, an image-level classification dataset is derived automatically:

 Active: Assigned if at least one Person_Active (class 0) is present.

 Not_Active: Assigned if the image contains only Person_Not_Active (class 1) or no persons at all.

 This straightforward yet effective approach enables image-level activity classification directly from the object detection annotations.

Included Scripts:

 - prepare_classification_dataset.py – Generates the classification dataset using the above logic. Splits data into train/val/test sets while maintaining class balance and directory structure.

 - split_object_detection.py – Organizes the dataset for YOLO object detection training, preserving the correspondence between images and bounding-box annotations across train/val/test splits.

Potential Applications:

- Training models for detecting Active vs. Not_Active persons in shared vehicles.

- Research in computer vision for automotive security and surveillance.

- Benchmarking supervised learning methods for object detection and activity classification in real-world mobility scenarios.