cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28854701
title: <b>Database egg rejection latency meta analysis</b>

description: Egg rejection is the most widespread defence strategy used by hosts of avian brood parasites to mitigate the fitness costs imposed by parasitism. The time interval between the parasitic event and egg rejection is a crucial aspect of anti-parasitic host defences, yet the main factors shaping latency to egg rejection across different brood parasite-host systems and contexts remain uncertain. Through meta-analysis of egg-rejection experiments across diverse parasite-host systems, we identified key factors influencing rejection latency. We found that hosts in sympatric populations with parasites rejected eggs more quickly than those in allopatric populations. Egg characteristics significantly affected rejection timing: more mimetic eggs were rejected later; similarly-sized eggs took longest to reject, while smaller eggs were rejected fastest. Additionally, higher rejection rates were associated with faster rejection. Notably, the duration of nest monitoring by researchers was a significant factor influencing results, underscoring the importance of methodological considerations. Our findings confirm that characteristics known to trigger egg rejection often also influence rejection timing. This study advances our understanding of the key characteristics underlying host defences while emphasizing the importance of standardized methodologies, particularly in nest monitoring duration, to ensure accurate assessment of egg rejection latency.
DOI: 10.5281/zenodo.16907626
title: Idealized GCM dataset and post processing results for studying storm predictability
DOI: 10.25549/inscriptifact-ouc110812704
title: Attic Black Ground & Six's Technique Miniature Lekythos (Oil Bottle) with Woman, BMC P.1515

description: [Text Description:] Classical ❧ [Text or Publication Number Note:] BMC P.1515 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black Ground & Six's Technique Miniature Lekythos (Oil Bottle) ❧ [Physical Object Note:] 3 5/8 in. x 1 5/8 in. x 1 5/8 in. (9.2 cm x 4.2 cm x 4.2 cm) ❧ [Physical Object Note:] Lekythoi
DOI: 10.25549/inscriptifact-ouc110812794
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.25549/inscriptifact-ouc110812795
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.25549/inscriptifact-ouc110812810
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.25549/inscriptifact-ouc110812780
title: Attic Black-Figure Sherd with Two Male Figures, BMC P.1573

description: [Text or Publication Number Note:] BMC P.1573 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Sherd ❧ [Physical Object Note:] 4 9/16 x 3 x 1/2 in. (11.6 x 7.6 x 1.3 cm) ❧ [Physical Object Note:] Sherds
DOI: 10.25549/inscriptifact-ouc110812855
title: Attic Black-Figure Trefoil-Mouth Oinochoe (Wine Jug) with Departing Warrior Scene, BMC P.2694

description: [Text Description:] Akin to Class of Vatican G. 47, Late Archaic ❧ [Text or Publication Number Note:] BMC P.2694 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Trefoil-Mouth Oinochoe (Wine Jug) ❧ [Physical Object Note:] 8 7/16 x 4 3/4 x 5 1/2 in. (21.5 x 12.1 x 14 cm) ❧ [Physical Object Note:] Oinochoai
DOI: 10.25549/inscriptifact-ouc110812840
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.7910/dvn/neitbe
title: Replication Data for: Democratization, Personal Wealth of Politicians and Voting Behavior

description: Replication data for the paper "Democratization, Personal Wealth of Politicians and
Voting Behavior" by Bas Machielsen
DOI: 10.5285/aec1e55f-f6ac-4673-9e93-706b44df88f1
title: Code for generating data for the weak-selection mathematical model and agent-based simulation models, for whether multiple social encounters can stabilise genetic kin recognition

description: This code: (1) Generates data for the weak-selection mathematical model. This is contained in the "Generate_data_for_island_model_weak_selection" script. (2) Generates data for the agent-based simulation model, which accounts for stronger selection and finite populations. This is contained in the "Generate_data_for_agent_based_simulation" script. (3) Generates data for the version of the agent-based simulation model where there is no tag mutation, in which balancing selection is examined via tag fixation times. This is contained in the "Generate_data_for_balancing_selection_finite_pop" script.
description: This came into existence though the process of writing code for MATLAB, to numerically solve equations in the paper "Multiple social encounters can eliminate Crozier’s paradox and stabilise genetic kin recognition", and to construct agent-based simulations.
DOI: 10.15468/dl.vxjhyn
title: Occurrence Download

description: A dataset containing 266103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus collybita",
 "Year 2025-2025"
 ]
}

 The dataset includes 266103 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a
title: Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface

description: This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. 
description: Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113
DOI: 10.5285/1ec13364-cbc6-4ab5-a147-45a103853424
title: Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020

description: This dataset contains RGB photographs acquired from drone surveys.  There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area.

Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location data for harvest plots and ancillary metadata. 

The observations can be used to obtain allometric size-biomass models.

This work was supported by the Natural Environment Research Council award number NE/R00062X/1 as part of the project 'Do dryland ecosystems control variability and recent trends in the land CO2 sink?'
description: These datasets were collected using a standardised sampling protocol during peak biomass by multiple teams using different equipment. Datasets have been reviewed and further details are available in the supporting documentation.

Further information on the collection and processing of these data are given in Cunliffe et al. ‘Drone photogrammetry-derived canopy height predicts aboveground biomass across non-forest ecosystems’ (In Press) and the accompanying supplementary materials.
DOI: 10.57756/t8e7bn
title: 3D model of a Black Caiman (NHMW-ZOO-HS-31559)

description: <p>3D scan of a juvenile black caiman (<em>Melanosuchus niger</em>), that measures 1.08 meters. These carnivorous reptiles are one of the largest extant members of the order Crocodilia and can reach a length of up to 5 meters! Black caimans live along freshwater habitats such as slow-moving rivers and lakes in South America. Their size makes them the largest predators in the Amazon basin.</p>
DOI: 10.15468/dl.d58tnm
title: Occurrence Download

description: A dataset containing 22778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleractinia",
 "Geometry POLYGON ((-6.379433678493399 36.6471836712949, -6.374718404427256 34.66363768271924, 0.9543947417097343 29.134155273245142, 17.480493163947187 27.87837271836389, 32.331968630468964 30.68640273606468, 36.149187634704276 30.967423604826195, 38.9312684534068 36.87379431548948, 30.43306827897902 40.981570519250965, 27.108722917411114 41.266034804024514, 23.371620285406095 46.13242793611795, 12.69847319495932 48.76856667532462, 2.700434806016574 44.139249865010356, -5.593757812463025 37.870383351043074, -6.379433678493399 36.6471836712949))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 22778 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001962-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13815267
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17669531
title: Supplementary material for "Polymer extrusion processes in tire manufacturing: a systematic review and bibliometric analysis"

description: Python code, MR.xlsx
DOI: 10.5285/d036a1c2-77b2-40ef-a14d-d21fb394b595
title: Land Cover Map 2024 (land parcels, GB)

description: This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.
description: UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  

Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.

The 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.
DOI: 10.5285/5a28a303-abde-4bdd-b170-942b50d831fd
title: Land Cover Map 2022 (land parcels, N. Ireland)

description: This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.
description: UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  

Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.

The 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.
DOI: 10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e
title: Land Cover Map 2024 (land parcels, N. Ireland)

description: This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.
description: UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  

Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.

The 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.
DOI: 10.5285/36343ace-d56a-43ea-9d48-2f434dafcb26
title: Land Cover Map 2020 (land parcels, N. Ireland)

description: This is the land parcel (polygon) dataset for the UKCEH Land Cover Map of 2020 (LCM2020) representing Northern Ireland. It describes Northern Ireland's land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.   A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation accompanying this dataset.

LCM2020 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2020. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2020.   These are one of a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps in 2000, 2007, 2015 and annually since 2017.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. 
description: UKCEH's automated land cover algorithms generated 10m classified pixels from Sentinel-2 satellite data. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.

Land cover was validated by organising the pixel classification into a land parcel spatial framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.

This product represents the LCM2020 Classified Land Parcel, Northern Ireland.
DOI: 10.5281/zenodo.17648907
title: LMFM-12

description: Intended for 'Freshwater Microalgae Dataset for Deep Learning-Based Classification with Transfer Learning Analysis' for the study of microalgae image classification deep learning models.

The dataset consist 7,555 images of 12 freshwater microalgae species. 

The 12 microalgae species available are:



Closterium gracile

Coelastrum morus

Micrasterias crux-melitensis

Pediastrum duplex

Planctonema lauterbornii

Scenedesmus acutus

Scenedesmus bijuga

Selenastrum gracile

Spirogyra majuscula

Stigeoclonium sp.

Tetradesmus dimorphus

Treubaria triappendiculata
DOI: 10.5281/zenodo.17669449
title: Species composition and biomass of fish in the littoral populations of the Saksahan River within the city of Kryvyi Rih for the study period 2020–2024

description: The species composition and biomass of fish in the littoral populations of the Saksahan River within the city of Kryvyi Rih for the study period 2020–2024 are presented. Data on fish biomass for the summer and autumn periods are provided.
description: Наведено видовий склад і біомаса риб прибережних популяцій річки Саксагань в межах міста Кривий Ріг за період дослідження 2020–2024 рр. Наведено дані з біомаси риб в літній та осінній періоди.
DOI: 10.5281/zenodo.17669450
title: Species composition and biomass of fish in the littoral populations of the Saksahan River within the city of Kryvyi Rih for the study period 2020–2024

description: The species composition and biomass of fish in the littoral populations of the Saksahan River within the city of Kryvyi Rih for the study period 2020–2024 are presented. Data on fish biomass for the summer and autumn periods are provided.
description: Наведено видовий склад і біомаса риб прибережних популяцій річки Саксагань в межах міста Кривий Ріг за період дослідження 2020–2024 рр. Наведено дані з біомаси риб в літній та осінній періоди.
DOI: 10.15468/dl.qvwb3p
title: Occurrence Download

description: A dataset containing 45929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera"
 ]
}

 The dataset includes 45929 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001966-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mrs3n
title: Occurrence Download

description: A dataset containing 609612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum dulcamara"
 ]
}

 The dataset includes 609612 records from 2856 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001948-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18319469
title: Ximenia americana var. argentinensis DeFilipps. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18319470
title: Ximenia americana var. argentinensis DeFilipps. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.3535/afr-ds2-yjf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ssm-ql8-15k
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0f9-g8n-79b
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbn-77r-a4h
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rp4-85e-cn1
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7bv-ryp-hdv
title: Eurema hecabe (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zy4-6ds-gra
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q93-9b7-x5h
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dmc-9bj-5f7
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f78-mgw-wvw
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/akp-km8-7f9
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gaf-rg8-k1f
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y80-31r-8d2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6er-91k-d31
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/88s-vaw-cwt
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ms6-pkw-alh
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3x3-4a5-q7l
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/enp-84z-7wc
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p9m-flp-c9v
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/24n-dxs-p79
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b31-z26-hr8
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.