cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a6y7fc
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus europaeus",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031897-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pxkua
title: Occurrence Download

description: A dataset containing 109035 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pacifastacus leniusculus"
 ]
}

 The dataset includes 109035 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031833-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qucks
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is ZFMK Heteroptera collection",
 "Country is Croatia"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031898-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/jazckk
title: Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors_Data File: Adolescent and Young Adult Sample (POMS)

description: This data file contains the data used for the longitudinal analyses for the mood and aemotional reactivity measures (POMS) within the adolescent and young adult sample in the article 'Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors'. &lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Files are accessible to the authors of the study. Interested parties can request access by e-mailing green@essb.eur.nl or crone@essb.eur.nl. When requesting the data, please explain why you would like to access the files.&lt;br&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;
description: This entry is a one-file data package totaling 1.7 MB, containing a file in .sav format.If you use this dataset, please cite: Green, Kayla (2021). Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors_Data File: Adolescent and Young Adult Sample (POMS). Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.14717169
DOI: 10.15468/dl.qhvf65
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyla chinensis"
 ]
}

 The dataset includes 548 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031900-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16781345
title: Supporting data of "Cavity-Enhanced Spin-Wave Solid-State Quantum Memory"

description: This repository contains the data supporting the article "Cavity-Enhanced Spin-Wave Solid-State Quantum Memory" by Leo feldmann et al..

The datasets are provided to recreate the figures of the manuscript. The number of each filename corresponds to the figure. Manuscript is in submission; the DOI to the manuscript will be added once accepted by the journal.
DOI: 10.5281/zenodo.16781346
title: Supporting data of "Cavity-Enhanced Spin-Wave Solid-State Quantum Memory"

description: This repository contains the data supporting the article "Cavity-Enhanced Spin-Wave Solid-State Quantum Memory" by Leo feldmann et al..

The datasets are provided to recreate the figures of the manuscript. The number of each filename corresponds to the figure. Manuscript is in submission; the DOI to the manuscript will be added once accepted by the journal.
DOI: 10.15468/dl.yjxk7y
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Coleoptera Eastern Fennoscandia (Luomus) (FC)",
 "Country is Croatia"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031899-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gdhrk
title: Occurrence Download

description: A dataset containing 18456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is SWE.21.11_1",
 "TaxonKey is Passeriformes",
 "Year 2002-2024"
 ]
}

 The dataset includes 18456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031902-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hum7ac
title: Occurrence Download

description: A dataset containing 138024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Endure – standardised invertebrate sampling in coastal blond dunes from the 2-seas region",
 "Country is Belgium"
 ]
}

 The dataset includes 138024 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031882-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927142
title: Synthetic Rock Paper Scissors Dataset

description: Description:







The Synthetic Rock Paper Scissors Dataset offers a rich and diverse collection of images tailored for training and testing machine learning models on the classic game of Rock Paper Scissors. This dataset includes synthetic images generated through advanced data augmentation techniques, ensuring a wide variety of samples to enhance model training. Each of the three classes—Rock, Paper, and Scissors—is well-represented, providing balanced and comprehensive examples. The augmentation processes involve transformations such as rotation, scaling, and color adjustments, simulating real-world conditions to improve model robustness and generalization.







Download Dataset









Designed for researchers and developers, this dataset serves as an excellent resource for developing and evaluating convolutional neural networks (CNNs) and other machine learning models in image classification tasks. The diverse and augmented nature of the images ensures that models trained on this dataset can effectively recognize and classify Rock, Paper, and Scissors in various scenarios. By leveraging this dataset, developers can advance AI capabilities in game-based recognition and contribute to broader applications in image classification and pattern recognition.

This dataset is sourced from
DOI: 10.5281/zenodo.16927143
title: Synthetic Rock Paper Scissors Dataset

description: Description:







The Synthetic Rock Paper Scissors Dataset offers a rich and diverse collection of images tailored for training and testing machine learning models on the classic game of Rock Paper Scissors. This dataset includes synthetic images generated through advanced data augmentation techniques, ensuring a wide variety of samples to enhance model training. Each of the three classes—Rock, Paper, and Scissors—is well-represented, providing balanced and comprehensive examples. The augmentation processes involve transformations such as rotation, scaling, and color adjustments, simulating real-world conditions to improve model robustness and generalization.







Download Dataset









Designed for researchers and developers, this dataset serves as an excellent resource for developing and evaluating convolutional neural networks (CNNs) and other machine learning models in image classification tasks. The diverse and augmented nature of the images ensures that models trained on this dataset can effectively recognize and classify Rock, Paper, and Scissors in various scenarios. By leveraging this dataset, developers can advance AI capabilities in game-based recognition and contribute to broader applications in image classification and pattern recognition.

This dataset is sourced from
DOI: 10.15468/dl.66zpp5
title: Occurrence Download

description: A dataset containing 5008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Global soil organisms",
 "Country is Belgium"
 ]
}

 The dataset includes 5008 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031901-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w574ng
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bryophyte herbarium TRH, NTNU University Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031903-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927174
title: TABLE 1 in New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes

description: TABLE 1. Sampling stations (station numbers correspond to those shown in Figure 1).
Station NumberName StationCoordinates N/EpHT, °C1The lower reaches of the Irkutsk Reservoir52.247608, 104.3064798.254.82Angara River in front of the Irkut River52.292466, 104.2692858.2753The Irkut River52.298802, 104.2723908.0915.94Angara River in front of the River Kuda52.426560, 104.1140758.675.35The Kuda River52.430585, 104.1145048.548.86Angara River in front of the Kitoi River52.631560, 103.9402778.686.57The Kitoi River52.636140, 103.9242838.9378The Angara River in front of the Belaya River52.912325, 103.6793508.348.39The Belaya River52.919695, 103.6530457.814.610Angara River in front of the Ida River53.170620, 103.3571437.98.211Ida River53.178949, 103.3766338.4211.3
description: Published as part of Firsova, Alena D., Bessudova, Anna Y. & Likhoshway, Yelena V., 2025, New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes, pp. 45 in Phytotaxa 708 (1) on page 45, DOI: 10.11646/phytotaxa.708.1.4, http://zenodo.org/record/16716620
DOI: 10.5281/zenodo.16927173
title: TABLE 1 in New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes

description: TABLE 1. Sampling stations (station numbers correspond to those shown in Figure 1).
Station NumberName StationCoordinates N/EpHT, °C1The lower reaches of the Irkutsk Reservoir52.247608, 104.3064798.254.82Angara River in front of the Irkut River52.292466, 104.2692858.2753The Irkut River52.298802, 104.2723908.0915.94Angara River in front of the River Kuda52.426560, 104.1140758.675.35The Kuda River52.430585, 104.1145048.548.86Angara River in front of the Kitoi River52.631560, 103.9402778.686.57The Kitoi River52.636140, 103.9242838.9378The Angara River in front of the Belaya River52.912325, 103.6793508.348.39The Belaya River52.919695, 103.6530457.814.610Angara River in front of the Ida River53.170620, 103.3571437.98.211Ida River53.178949, 103.3766338.4211.3
description: Published as part of Firsova, Alena D., Bessudova, Anna Y. & Likhoshway, Yelena V., 2025, New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes, pp. 45 in Phytotaxa 708 (1) on page 45, DOI: 10.11646/phytotaxa.708.1.4, http://zenodo.org/record/16716620
DOI: 10.5281/zenodo.16927175
title: TABLE 2 in New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes

description: TABLE 2. List of morphotypes of stomatocysts found in the Angara River and its tributaries. Station numbers correspond to those in Figure 1 and Table 1.
StomatocystsFigsStation number 1 2 34567891011001, Duff & Smoll 1988 em. Duff & Smol 19932A+++++++++++4, Duff & Smol 19882P––––––+––––5, Duff & Smol 1988 em. Duff & Smol 19933R+–––––+––––11, Vorobyova et al. 19963M––––––––+––33, Duff & Smol 19893B–––––+––––+36, Rybak et al., 19912R–––––––+–––41, Duff & Smol 19892J++++++–+––+42, Duff & Smol 19892C–––––––+++49, Duff & Smol 1991 em. Zeeb & Smol 19932E–+–––––––––50, Duff & Smol 1991+––––––––––52, Duff & Smol 19912G+––––––+––+56, Duff & Smol 19912I+––––––––––67, Duff & Smol 1991 em. Brown & Smol in Brown 19973A+––+–––––––79, Duff & Smol 19912N––––+––––––110, Zeeb et al. 19902F––––+––––––111, Zeeb et al. 19903F–+–––++––––117 Zeeb et al. 19902Q––+–––+––+–123, Duff & Smol in Duff et al. 19923S–+–––––––––130, Duff & Smol in Duff et al. 1992 em. Duff & Smol 19943T––––––––––+131, Pang & Wang 20173P––––––––+––135, Duff & Smol em. Duff et al. 19922K–––––––––+–152, Zeeb & Smol 19932H–––––––––+–156, Zeeb & Smol 19932M–––+–––––––170, Zeeb & Smol 19932L––––+––––––173, Baumann & Kamenik 20103L––++–++++++178, Zeeb & Smol 19933N–––––+–––––180, Zeeb & Smol 19933Q–––––+–––––197, Pla 20013K++++++–+–––223 Duff & Smol 19943G––––––––––+231, Duff & Smol 19943O––––––––+––302, Firsova 2006 em. Firsova & Bessudova 20243E+––––––––––309, Firsova3H–+–––––––––325, Pla 20013I++–+++–++–331, Firsova 20063C–––––+–––––334, Wilkinson & Smol 19982O–+–––+––––342, Firsova 20063J–––––––––+–347, Firsova 20063D–––––+–––––360, Pla 20012S––––––+––––cf. 373, Pla 20012T–––––––+–––463, Firsova & Bessudova 20182B––––+–+––+–467, Firsova & Bessudova 20184A–+–––––––––507, Firsova & Bessudova 20242D+––––––+–––508, Firsova & Bessudova, nov.4B––––+––––––509, Firsova & Bessudova, nov.4C––+––++–+–510, Firsova & Bessudova, nov.4D–––––––––+–511, Firsova & Bessudova, nov.4E–––––––––+–512, Firsova & Bessudova, nov.4F–+–––––––––Total1313678121097118
description: Published as part of Firsova, Alena D., Bessudova, Anna Y. & Likhoshway, Yelena V., 2025, New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes, pp. 48 in Phytotaxa 708 (1) on page 48, DOI: 10.11646/phytotaxa.708.1.4, http://zenodo.org/record/16716620
DOI: 10.5281/zenodo.16927176
title: TABLE 2 in New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes

description: TABLE 2. List of morphotypes of stomatocysts found in the Angara River and its tributaries. Station numbers correspond to those in Figure 1 and Table 1.
StomatocystsFigsStation number 1 2 34567891011001, Duff & Smoll 1988 em. Duff & Smol 19932A+++++++++++4, Duff & Smol 19882P––––––+––––5, Duff & Smol 1988 em. Duff & Smol 19933R+–––––+––––11, Vorobyova et al. 19963M––––––––+––33, Duff & Smol 19893B–––––+––––+36, Rybak et al., 19912R–––––––+–––41, Duff & Smol 19892J++++++–+––+42, Duff & Smol 19892C–––––––+++49, Duff & Smol 1991 em. Zeeb & Smol 19932E–+–––––––––50, Duff & Smol 1991+––––––––––52, Duff & Smol 19912G+––––––+––+56, Duff & Smol 19912I+––––––––––67, Duff & Smol 1991 em. Brown & Smol in Brown 19973A+––+–––––––79, Duff & Smol 19912N––––+––––––110, Zeeb et al. 19902F––––+––––––111, Zeeb et al. 19903F–+–––++––––117 Zeeb et al. 19902Q––+–––+––+–123, Duff & Smol in Duff et al. 19923S–+–––––––––130, Duff & Smol in Duff et al. 1992 em. Duff & Smol 19943T––––––––––+131, Pang & Wang 20173P––––––––+––135, Duff & Smol em. Duff et al. 19922K–––––––––+–152, Zeeb & Smol 19932H–––––––––+–156, Zeeb & Smol 19932M–––+–––––––170, Zeeb & Smol 19932L––––+––––––173, Baumann & Kamenik 20103L––++–++++++178, Zeeb & Smol 19933N–––––+–––––180, Zeeb & Smol 19933Q–––––+–––––197, Pla 20013K++++++–+–––223 Duff & Smol 19943G––––––––––+231, Duff & Smol 19943O––––––––+––302, Firsova 2006 em. Firsova & Bessudova 20243E+––––––––––309, Firsova3H–+–––––––––325, Pla 20013I++–+++–++–331, Firsova 20063C–––––+–––––334, Wilkinson & Smol 19982O–+–––+––––342, Firsova 20063J–––––––––+–347, Firsova 20063D–––––+–––––360, Pla 20012S––––––+––––cf. 373, Pla 20012T–––––––+–––463, Firsova & Bessudova 20182B––––+–+––+–467, Firsova & Bessudova 20184A–+–––––––––507, Firsova & Bessudova 20242D+––––––+–––508, Firsova & Bessudova, nov.4B––––+––––––509, Firsova & Bessudova, nov.4C––+––++–+–510, Firsova & Bessudova, nov.4D–––––––––+–511, Firsova & Bessudova, nov.4E–––––––––+–512, Firsova & Bessudova, nov.4F–+–––––––––Total1313678121097118
description: Published as part of Firsova, Alena D., Bessudova, Anna Y. & Likhoshway, Yelena V., 2025, New data on chrysophycean stomatocysts from the phytoplankton of the Angara River River (East Siberia, Russia) and its tributaries, including descriptions of five new morphotypes, pp. 48 in Phytotaxa 708 (1) on page 48, DOI: 10.11646/phytotaxa.708.1.4, http://zenodo.org/record/16716620
DOI: 10.6084/m9.figshare.29967238
title: Seasonal elephant habitat use waypoints and environmental variable determinants data.

description: This study demonstrates the importance of seasonal environmental factors particularly water availability, vegetation productivity, elevation, and invasive species in influencing seasonal elephant habitat-use dynamics in small and enclosed conservation areas particularly in fenced and isolated areas where inadequate forage during the dry season can lead to increased vegetation destruction and human-wildlife conflicts. Habitat-use shifts in response to changing resource availability and distribution underscore the importance of resource accessibility and profitability in determining seasonal elephant distribution. The unexpected preference for invaded areas during the dry season further highlights the complexity of habitat selection in small and isolated conservation areas lacking migration and dispersal corridors, especially during resource-scarce periods. These findings exemplify the importance of maintaining access to water and forage resources, implementing effective habitat management, and ensuring the functionality of fence barriers to reduce the risk of human–wildlife conflict.
DOI: 10.6084/m9.figshare.29967238.v1
title: Seasonal elephant habitat use waypoints and environmental variable determinants data.

description: This study demonstrates the importance of seasonal environmental factors particularly water availability, vegetation productivity, elevation, and invasive species in influencing seasonal elephant habitat-use dynamics in small and enclosed conservation areas particularly in fenced and isolated areas where inadequate forage during the dry season can lead to increased vegetation destruction and human-wildlife conflicts. Habitat-use shifts in response to changing resource availability and distribution underscore the importance of resource accessibility and profitability in determining seasonal elephant distribution. The unexpected preference for invaded areas during the dry season further highlights the complexity of habitat selection in small and isolated conservation areas lacking migration and dispersal corridors, especially during resource-scarce periods. These findings exemplify the importance of maintaining access to water and forage resources, implementing effective habitat management, and ensuring the functionality of fence barriers to reduce the risk of human–wildlife conflict.
DOI: 10.15468/dl.ezyhjb
title: Occurrence Download

description: A dataset containing 10363148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solanum capsicoides, Solanum chrysotrichum, Solanum erianthum, Digitonthophagus gazella, Eleutherodactylus johnstonei, Passiflora mollissima, Cupressus lusitanica, Gamochaeta purpurea, Cyperaceae, Cardamine flexuosa, Crotalaria micans, Tephrosia candida, Ruellia prostrata, Thyrsacanthus tubaeformis, Bambusa bambos, Microstegium vimineum, Trifolium dubium, Hypoestes phyllostachya, Breynia disticha, Sphyraena chrysotaenia, Asparagopsis armata, Cenchrus longispinus, Mesembryanthemum crystallinum, Digitaria insularis, Eragrostis atrovirens, Ischaemum rugosum, Pennisetum polystachion, Paspalum notatum, Phyllostachys aurea, Alpinia zerumbet, Zoysia matrella, Albizia procera, Lablab purpureus, Impatiens balsamina, Sesbania bispinosa, Sesbania sericea, Fraxinus americana, Phelipanche aegyptiaca, Abutilon indicum, Gossypium barbadense, Combretum indicum, Toxicodendron succedaneum, Solanum viarum, Merremia, Cerithium scabridum, Diaspidiotus perniciosus, Alopecurus myosuroides, Panicum miliaceum, Setaria faberi, Myrrhis odorata)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 10363148 records from 5371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031871-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4msk9
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus europaeus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1100 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031904-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wakjpb
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus europaeus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 166 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031906-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75btz6
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lichen herbarium, UiB",
 "Country is Croatia"
 ]
}

 The dataset includes 93 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031908-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16919257
title: spaceRATScaffolds

description: Create and manage scaffolds for spaceRAT
DOI: 10.15468/dl.psupce
title: Occurrence Download

description: A dataset containing 24289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Polypogon viridis"
 ]
}

 The dataset includes 24289 records from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031905-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.