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

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clerodendrum speciosissimum",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017026-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaazx9
title: Occurrence Download

description: A dataset containing 420124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 420124 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016894-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vukeqj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sardinella sindensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017028-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.6dcbgn65
title: VOC24_0069_02

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.15468/dl.afa2j9
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Brachychiton rupestris)"
 ]
}

 The dataset includes 619 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017029-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15735110
title: MutFormer scores for missense variants

description: MutFormer scores for deleterious missense mutations.

The method was described in this paper:





Jiang TT, Fang L, Wang K. Deciphering “the language of nature”: A transformer-based language model for deleterious mutations in proteins. The Innovation. 2023 Sep;4(5):100487. DOI: https://doi.org/10.1016/j.xinn.2023.100487

 

GitHub repository: https://github.com/WGLab/mutformer
DOI: 10.5281/zenodo.15735111
title: MutFormer scores for missense variants

description: MutFormer scores for deleterious missense mutations.

The method was described in this paper:





Jiang TT, Fang L, Wang K. Deciphering “the language of nature”: A transformer-based language model for deleterious mutations in proteins. The Innovation. 2023 Sep;4(5):100487. DOI: https://doi.org/10.1016/j.xinn.2023.100487

 

GitHub repository: https://github.com/WGLab/mutformer
DOI: 10.15468/dl.v4wfbc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jatropha sotoi-nunyezii Fern.Casas & E.Martínez)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014557-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3y789
title: Occurrence Download

description: A dataset containing 2796811 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salmo trutta Linnaeus, 1758"
 ]
}

 The dataset includes 2796811 records from 714 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014522-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3vq28
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 1900",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 70 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014556-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7gkrx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jatropha standleyi Steyerm.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014560-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q6ats
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cercis griffithii Boiss."
 ]
}

 The dataset includes 181 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014559-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2sk6d
title: Occurrence Download

description: A dataset containing 19701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miscanthus sinensis Andersson"
 ]
}

 The dataset includes 19701 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014558-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnfgs7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jatropha stephani J.Jiménez Ram. & Mart.Gord.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014562-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awjn47
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer negundoides MacGinitie, 1933"
 ]
}

 The dataset includes 80 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014561-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wv9b4
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jatropha sympetala S.F.Blake & Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014564-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svgkfw
title: Occurrence Download

description: A dataset containing 15757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pterocarya fraxinifolia (Poir.) Spach, Pterocarya hupehensis Skan, Pterocarya macroptera Batalin, Pterocarya rhoifolia Siebold & Zucc., Pterocarya stenoptera C.DC., Pterocarya tonkinensis (Franch.) Dode)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15757 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014563-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3qtty
title: Occurrence Download

description: A dataset containing 19544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senecio squalidus L."
 ]
}

 The dataset includes 19544 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014565-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14072514
title: Golejadors_premier_league_1993/2024_mitjcampistes

description: El dataset conté les dades dels 250 màxims golejadors de la posició de migcampista a la Premier League entre els anys 1993 i 2024. Les dades inclouen les següents variables per cada jugador:



Jugador: Nom del jugador.

Gols: Nombre total de gols marcats a la Premier League.

Club: Nombre de clubes en què ha jugat.

Nacionalitat: Nacionalitat del jugador.

Minuts jugats: Temps total jugat a la competició (en minuts).

Aparicions: Nombre total d'aparicions a la Premier League.

Minuts per gol: Promig de minuts jugats per cada gol marcat.


Aquest dataset permet realitzar anàlisis sobre el rendiment i la productivitat dels migcampistes en la Premier League al llarg del temps. Les dades són propietat comercial de Transfermarkt.
DOI: 10.5281/zenodo.14072515
title: Golejadors_premier_league_1993/2024_mitjcampistes

description: El dataset conté les dades dels 250 màxims golejadors de la posició de migcampista a la Premier League entre els anys 1993 i 2024. Les dades inclouen les següents variables per cada jugador:



Jugador: Nom del jugador.

Gols: Nombre total de gols marcats a la Premier League.

Club: Nombre de clubes en què ha jugat.

Nacionalitat: Nacionalitat del jugador.

Minuts jugats: Temps total jugat a la competició (en minuts).

Aparicions: Nombre total d'aparicions a la Premier League.

Minuts per gol: Promig de minuts jugats per cada gol marcat.


Aquest dataset permet realitzar anàlisis sobre el rendiment i la productivitat dels migcampistes en la Premier League al llarg del temps. Les dades són propietat comercial de Transfermarkt.
DOI: 10.6084/m9.figshare.27652314
title: Ductus Venosus-PI Harapan Kita pseudonymised dataset

description: Datasets of Ductus Venosus
DOI: 10.6084/m9.figshare.27652314.v1
title: Ductus Venosus-PI Harapan Kita pseudonymised dataset

description: Datasets of Ductus Venosus
DOI: 10.21227/fdef-gx52
title: Ground-based Pixel-level Cloud Dataset (GPCD)

description: Using the PVIFS-02 whole-sky imagers, we collected 500,000 independent cloud images from 2021 to 2023, captured in a southern city and a northern city in China. The cloud images collected in southern China are clear, with obvious cloud edges. In contrast, the cloud images from northern China appear relatively blurred. This difference is attributed to the geographical characteristics of northern China, where regions are frequently affected by sand and dust, leading to a certain degree of image blurring. It brings challenges to cloud detection and classification. In order to train and test the algorithms for pixel-level cloud detection and classification, 714 images which contained various types of clouds were selected, and were manually annotated at the pixel-level after being normalized to a resolution of 1024 $\times$ 1024. The annotated dataset, referred to as the Ground-based Pixel-level Cloud Dataset (GPCD), as shown in Fig. \ref{fig3}. This dataset contains two types of annotation files, one with a binarized cloud-sky segmentation and the other classifying clouds into eight categories at the pixel-level according to cloud genera definitions of the World Meteorological Organization (WMO), cloud approximate appearance and sky conditions in practice. Table \ref{tab1} presents the cloud genera and descriptions for each category in GPCD.  To further enhance the robustness and applicability of the GPCD, the dataset was subdivided into two region-specific subsets: GPCD-North and GPCD-South. This subdivision was based on the geographical origin of the images, with GPCD-North comprising data collected from northern China and GPCD-South encompassing data from southern China. The rationale behind creating these subsets is to account for regional atmospheric differences that may influence cloud morphology and behavior. By conducting separate analyses on these subsets, we aim to evaluate the performance and robustness of cloud detection and classification algorithms in the context of regional variations. This approach not only allows for a more nuanced understanding of algorithm performance across diverse climatic conditions but also facilitates the testing of transfer learning capabilities.
DOI: 10.25493/6bp7-1x4
title: Allen Mouse Brain CCFv3 segmentations transformed to P28 population-averaged serial two-photon tomography data (v2)

description: This dataset contains two segmentation volumes for the postnatal day (P) 28 mouse brain. These correspond to the adult Allen Mouse Brain atlas Common Coordinate Framework version 3 (Allen CCFv3) 2017 and 2022 segmentations. This P28 segmentation dataset, together with a corresponding serial two-photon tomography (STPT) reference dataset ([Carey et al., 2024](https://doi.org/10.25493/TG8Z-PER)), constitute the Developmental Mouse Brain Atlas P28 (DeMBA P28). The DeMBA P28 is part of a series of atlases for the developing mouse brain, with STPT templates available from postnatal day 4, 7, 14, 21, 28, and 56 and synthetic, interpolated templates for all days in between. The DeMBA segmentations were created by transforming the Allen CCFv3 segmentations to fit the respective DeMBA template. The result is a developmental mouse brain atlas that is fully compatible with the Allen Mouse Reference Atlas Ontology, which can be used for spatial registration and analysis of data from postnatal mouse brains.
DOI: 10.25493/wghe-8hy
title: Allen Mouse Brain CCFv3 segmentations transformed to P21 population-averaged serial two-photon tomography data (v2)

description: This dataset contains two segmentation volumes for the postnatal day (P) 21 mouse brain. These correspond to the adult Allen Mouse Brain atlas Common Coordinate Framework version 3 (Allen CCFv3) 2017 and 2022 segmentations. This P21 segmentation dataset, together with a corresponding serial two-photon tomography (STPT) reference dataset ([Carey et al., 2024](https://doi.org/10.25493/2FMJ-152)), constitute the Developmental Mouse Brain Atlas P21 (DeMBA P21). The DeMBA P21 is part of a series of atlases for the developing mouse brain, with STPT templates available from postnatal day 4, 7, 14, 21, 28, and 56 and synthetic, interpolated templates for all days in between. The DeMBA segmentations were created by transforming the Allen CCFv3 segmentations to fit the respective DeMBA template. The result is a developmental mouse brain atlas that is fully compatible with the Allen Mouse Reference Atlas Ontology, which can be used for spatial registration and analysis of data from postnatal mouse brains.
DOI: 10.25493/75h6-8vk
title: Allen Mouse Brain CCFv3 segmentations transformed to P14 population-averaged serial two-photon tomography data (v2)

description: This dataset contains two segmentation volumes for the postnatal day (P) 14 mouse brain. These correspond to the adult Allen Mouse Brain atlas Common Coordinate Framework version 3 (Allen CCFv3) 2017 and 2022 segmentations. This P14 segmentation dataset, together with a corresponding serial two-photon tomography (STPT) reference dataset ([Carey et al., 2024](https://doi.org/10.25493/KAHK-14)), constitute the Developmental Mouse Brain Atlas P14 (DeMBA P14). The DeMBA P14 is part of a series of atlases for the developing mouse brain, with STPT templates available from postnatal day 4, 7, 14, 21, 28, and 56 and synthetic, interpolated templates for all days in between. The DeMBA segmentations were created by transforming the Allen CCFv3 segmentations to fit the respective DeMBA template. The result is a developmental mouse brain atlas that is fully compatible with the Allen Mouse Reference Atlas Ontology, which can be used for spatial registration and analysis of data from postnatal mouse brains.
DOI: 10.25493/cn8m-3z5
title: Allen Mouse Brain CCFv3 segmentations transformed to P7 population-averaged serial two-photon tomography data (v2)

description: This dataset contains two segmentation volumes for the postnatal day (P) 7 mouse brain. These correspond to the adult Allen Mouse Brain atlas Common Coordinate Framework version 3 (Allen CCFv3) 2017 and 2022 segmentations. This P7 segmentation dataset, together with a corresponding serial two-photon tomography (STPT) reference dataset ([Carey et al., 2024](https://doi.org/10.25493/JKBM-608)), constitute the Developmental Mouse Brain Atlas P7 (DeMBA P7). The DeMBA P7 is part of a series of atlases for the developing mouse brain, with STPT templates available from postnatal day 4, 7, 14, 21, 28, and 56 and synthetic, interpolated templates for all days in between. The DeMBA segmentations were created by transforming the Allen CCFv3 segmentations to fit the respective DeMBA template. The result is a developmental mouse brain atlas that is fully compatible with the Allen Mouse Reference Atlas Ontology, which can be used for spatial registration and analysis of data from postnatal mouse brains.
DOI: 10.25493/4ppr-nvn
title: Allen Mouse Brain CCFv3 segmentations transformed to P4 population-averaged serial two-photon tomography data (v2)

description: This dataset contains two segmentation volumes for the postnatal day (P) 4 mouse brain. These correspond to the adult Allen Mouse Brain atlas Common Coordinate Framework version 3 (Allen CCFv3) 2017 and 2022 segmentations. This P4 segmentation dataset, together with a corresponding serial two-photon tomography (STPT) template dataset ([Carey et al., 2024](https://doi.org/10.25493/VNF6-E92)), constitute the Developmental Mouse Brain Atlas P4 (DeMBA P4). The DeMBA P4 is part of a series of atlases for the developing mouse brain, with STPT templates available from postnatal day 4, 7, 14, 21, 28, and 56 and synthetic, interpolated templates for all days in between. The DeMBA segmentations were created by transforming the Allen CCFv3 segmentations to fit the respective DeMBA template. The result is a developmental mouse brain atlas that is fully compatible with the Allen Mouse Reference Atlas Ontology, which can be used for spatial registration and analysis of data from postnatal mouse brains.
DOI: 10.25493/jmyc-72g
title: Optimized SynActive tools to study structure and function of potentiated synapses (v1)

description: Synaptic engrams can be defined as the synapse population of neurons supporting a specific memory and are believed to represent the cellular basis of learning processes characterized by newly formed or potentiated spines. We developed a new platform (SA =SynActive toolbox) in which a prototypical pair of SA constructs was employed to tag and visualize translation-dependent potentiated dendritic spines, in a spatially localized and activity-dependent manner.

We created a series of new Adeno Associated Viruses (AAV)-derived constructs: 1) SA-eGRASP; 2) PHP.eB-SA; 3) AAV9-SA. Such vectors represent a fundamental advancement as compared with the original SA constructs both in terms of spatial resolution and in view of in vitro and in vivo use for specific CNS targeting.

The new pair was stereotaxically injected into the hippocampus. Injected mice were exposed to contextual fear conditioning to trigger synaptic plasticity and translation-dependent long-term potentiation (LTP) of synapses. We also infected organotypic hippocampal slices with the appropriate AAV pair, before stimulating with chemical or electrical LTP. 

A specific SA signal (identifying translation-dependent potentiated synapses) was revealed following confocal imaging of hippocampus from perfused mice and fixed organotypic slices. Potentiated spines along the dendritic tree of hippocampal pyramidal neurons were quantified and their distribution was investigated. All these new datasets can be exploited for computational models of synaptic memory engrams.
DOI: 10.25493/36pm-h72
title: Electrophysiological recordings of hippocampal CA1 units in rats during open field foraging (v1.0)

description: This dataset contains electrophysiological recordings of more than a thousand single units from the hippocampal subfield Cornu Ammonis 1 of 5 male Long Evans rats, obtained while the animals foraged for chocolate cereal crumbs in a 150x150 cm (squared) open field arena. The units were recorded during a total of 114 sessions—all of which lasted for at least twenty minutes or longer. The data was collected to investigate the possible occurrence of egocentric tuning in hippocampal neurons in rats. Well-trained rats were chronically implanted with drives that guided tetrode electrodes into the target brain region and local field potentials were recorded using either a AxonaLtd daqUSB or Neuralynx system; in both cases with an overhead camera tracking two LEDs on the head stage of the animal to register the 2D position of the animal. The data may be used to investigate the spatial properties of CA1 cells in the non-changing standard “open field session”.
DOI: 10.25493/4nc6-yx5
title: 3D cytoarchitectonic map of the human CGM (Metathalamus) of the BigBrain (v2.2)

description: This dataset contains cytoarchitectonic maps of the corpus geniculatum mediale (CGM, metathalamus) of the BigBrain cortex and subcortical structures. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron in-plane resolution, with a distance of sections typically not lower than 300 micrometres. The 3D cytoarchitectonic maps were created using two different approaches: (1) As the first version, a 3D map of the area was created by simple interpolation of the respective reference delineations. (2) As the second version, a 3D map was created using deep convolutional neural networks trained on the respective reference delineations. As a result, the latter version also includes delineations of the area in the sections in-between reference delineations. The 3D maps were transformed to the 3D reconstructed BigBrain space and are integrated into the Julich-Brain Cytoarchitectonic Atlas.