cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24431/rw1k9h7
title: Cormorant Oceanography Project: Biologging Data from Black-faced Cormorants (Phalacrocorax fuscescens), Australia, 2022 & 2023

description: Oceanographic sampling of the coastal ocean is often sparse in space and time and in situ observations are needed to understand the complex physical processes in this zone. 

This dataset is provided by the Cormorant Oceanography Project (https://www.osudashcams.com/), an interdisciplinary collaboration between oceanographers and seabird ecologists based at Oregon State University, and in partnership with collaborators globally. We are advancing biologging tag technologies for use with cormorant species to measure in situ oceanographic conditions. This also offers a unique opportunity to study the distribution and behaviors of cormorants relative to environmental conditions along their daily foraging paths. 

Our biologging tags include combinations of fast-response sensors to measure water temperature, conductivity, and pressure. Each tag contains an inertial measurement unit (IMU) to monitor acceleration and orientation. A GPS unit, triggered when a bird surfaces, provides locations for georeferencing measurements. The sensors collect large volumes of data that are transmitted and retrieved using two-way cellular communications. 

This dataset consists of GPS tracks and dive profiles from black-faced cormorants (Phalacrocorax fuscescens) tagged on Notch Island, off the southeast coast of Australia, during the 2022 and 2023 breeding seasons. Cormorants were fitted with GPS-GSM tags with integrated fast response temperature, and depth sensors and were tracked through their post-breeding migration.
DOI: 10.15468/dl.37kcqr
title: Occurrence Download

description: A dataset listing the 69723 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingCountry is Japan"
 ]
}

 The dataset's 69723 records were derived from 367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009081-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110812273
title: Corinthian Kotyle/Skyphos (Cup) Rim Sherd with Sphinx, BMC P.826

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.826 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Kotyle/Skyphos (Cup) Rim Sherd ❧ [Physical Object Note:] 2 7/16 in. x 2 1/8 in. x 1/8 in. (6.23 cm x 5.43 cm x 0.3 cm) ❧ [Physical Object Note:] Skyphoi
DOI: 10.25549/inscriptifact-ouc110812254
title: Corinthian Kotyle/Skyphos (Cup) Rim Sherd with Sphinx, BMC P.826

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.826 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Kotyle/Skyphos (Cup) Rim Sherd ❧ [Physical Object Note:] 2 7/16 in. x 2 1/8 in. x 1/8 in. (6.23 cm x 5.43 cm x 0.3 cm) ❧ [Physical Object Note:] Skyphoi
DOI: 10.25549/inscriptifact-ouc110812224
title: Corinthian Kotyle/Skyphos (Cup) Rim Sherd with Sphinx, BMC P.826

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.826 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Kotyle/Skyphos (Cup) Rim Sherd ❧ [Physical Object Note:] 2 7/16 in. x 2 1/8 in. x 1/8 in. (6.23 cm x 5.43 cm x 0.3 cm) ❧ [Physical Object Note:] Skyphoi
DOI: 10.25549/inscriptifact-ouc110812214
title: Corinthian Body Sherd with Panther and Rosettes, BMC P.821

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.821 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Body Sherd ❧ [Physical Object Note:] 2 3/16 x 1 13/16 x 1/8 in. (5.6 x 4.6 x 0.3 cm)
DOI: 10.25549/inscriptifact-ouc110812591
title: Apulian Red-Figure Vase Fragment, BMC P.1489

description: [Text or Publication Number Note:] BMC P.1489 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Vase Fragment ❧ [Physical Object Note:] 3 7/8 x 3 3/8 x 1/8 in. (9.8 x 8.6 x 0.3 cm) ❧ [Physical Object Note:] Sherds
DOI: 10.25549/inscriptifact-ouc110812681
title: Apulian Red-Figure Hydria (Water Jar) Fragment, BMC P.1504

description: [Text or Publication Number Note:] BMC P.1504 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Hydria (Water Jar) Fragment ❧ [Physical Object Note:] 6 7/8 x 6 x 1/4 in. (17.5 x 15.2 x 0.6 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110812528
title: Attic Black-Figure Sherd with Three Standing Figures and a Warrior, BMC P.978

description: [Text or Publication Number Note:] BMC P.978 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Sherd ❧ [Physical Object Note:] 5 1/2 x 4 5/16 x 5/32 in. (14 x 11 x 0.4 cm)
DOI: 10.25549/inscriptifact-ouc110812596
title: Apulian Red-Figure Vase Fragment, BMC P.1489

description: [Text or Publication Number Note:] BMC P.1489 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Vase Fragment ❧ [Physical Object Note:] 3 7/8 x 3 3/8 x 1/8 in. (9.8 x 8.6 x 0.3 cm) ❧ [Physical Object Note:] Sherds
DOI: 10.5281/zenodo.14697680
title: (14)-Strobl2025A-DS0022 – SLICE-1 – Tribolium castaneum AGOC{ATub'PCNA°NB-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired

description: (14)-Strobl2025A-DS0022 – SLICE-1 – Tribolium castaneum AGOC{ATub'PCNA°NB-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired
DOI: 10.25413/sun.29179475
title: SARS-CoV-2 seroepidemiology in Cape Town, South Africa, and implications for future outbreaks in low-income communities

description: In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can help describe and characterise the extent of the pandemic, as well as elucidate protection conferred by prior exposure. We conducted repeated cross-sectional serosurveys (July 2020 –November 2021) using residual samples from patients from Cape Town, South Africa, sent for routine laboratory studies for non-COVID-19 conditions. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses. Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.19% (95% confidence interval [CI] 37.23–41.19) in July 2020 to 67.8% (95%CI 66.31–69.25) in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Using COVID-19 hospital admission and death data at the Provincial Health Data Centre, antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05–0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01–0.35). The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19 disease. In low-income communities, where diagnostic testing capacity is often limited, surveillance systems dependent on them will underestimate the true extent of an outbreak. Rapidly conducted seroprevalence studies can play an important role in addressing this.
DOI: 10.25413/sun.29179475.v1
title: SARS-CoV-2 seroepidemiology in Cape Town, South Africa, and implications for future outbreaks in low-income communities

description: In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can help describe and characterise the extent of the pandemic, as well as elucidate protection conferred by prior exposure. We conducted repeated cross-sectional serosurveys (July 2020 –November 2021) using residual samples from patients from Cape Town, South Africa, sent for routine laboratory studies for non-COVID-19 conditions. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses. Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.19% (95% confidence interval [CI] 37.23–41.19) in July 2020 to 67.8% (95%CI 66.31–69.25) in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Using COVID-19 hospital admission and death data at the Provincial Health Data Centre, antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05–0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01–0.35). The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19 disease. In low-income communities, where diagnostic testing capacity is often limited, surveillance systems dependent on them will underestimate the true extent of an outbreak. Rapidly conducted seroprevalence studies can play an important role in addressing this.
DOI: 10.15468/dl.2wtuak
title: Occurrence Download

description: A dataset containing 1456169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 2016",
 "Year is less than or equal to 2016",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1456169 records from 1885 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011800-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3thy4
title: Occurrence Download

description: A dataset containing 31497931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rosales"
 ]
}

 The dataset includes 31497931 records from 9043 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012831-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/rt2mco
title: Data Management and Sharing Plan for: Endothelin 1 in iron handling in sickle cell disease

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.eddc35
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-66.77362 43.42309,-59.96823 42.63299,-59.45203 47.11022,-65.60427 46.92059,-66.77362 43.42309))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Choristoneura fumiferana"
 ]
}

 The dataset includes 148 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whvkxq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-119.6616 35.06814, -119.6549 35.07285, -119.6601 35.07672, -119.6655 35.0727, -119.6616 35.06814))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2m33jd
title: CCDC 2416063: Experimental Crystal Structure Determination

description: Related Article: Xichao Peng, Jianqiang Feng, Fulu Liu, Wen-Zheng Xie, Hailong Sun, Yuanyuan Xu, Yang Ming, Zhongqiu Xing, Yu Zheng, Binju Wang, Yi-Tao Long, Xiaoqiang Huang |2025|Nat. Synth.|||doi:10.1038/s44160-025-00866-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n7301
title: CCDC 2449682: Experimental Crystal Structure Determination

description: Related Article: Juan Lión-Villar, Herdya S. Torchon, Yikun Zhu, Zheng Wei, Jesús M. Fernández-García, Israel Fernández, Marina A. Petrukhina, Nazario Martín|2025|Angew.Chem.,Int.Ed.|64|e202510209|doi:10.1002/anie.202510209
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n7312
title: CCDC 2449683: Experimental Crystal Structure Determination

description: Related Article: Juan Lión-Villar, Herdya S. Torchon, Yikun Zhu, Zheng Wei, Jesús M. Fernández-García, Israel Fernández, Marina A. Petrukhina, Nazario Martín|2025|Angew.Chem.,Int.Ed.|64|e202510209|doi:10.1002/anie.202510209
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.mbggfb
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Culex annulus"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002411-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek8n4p
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neocyttus psilorhynchus"
 ]
}

 The dataset includes 82 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002412-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/6pefyr
title: Data Management and Sharing Plan for: Neural networks underlying preteen social motivation: A novel risk factor for preteen suicide

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.17672618
title: Mercury's magnetosphere with turbulent solar wind conditions using the Menura solver

description: Description of the datasetThis archive contains output from a 3-D hybrid particle-in-cell (PIC) simulation (kinetic ions, fluid electrons) performed with the Menura code, modelling Mercury’s magnetosheath. used in the associated research article.All files are stored in NumPy (.npy) format and can be loaded directly using numpy.load() in Python.









File contents



beta.npy → Plasma betadens.npy → Ion number density (normalised to sw value)Ppar.npy → Parallel ion pressure (normalised to sw value)Pper.npy → Perpendicular ion pressure (normalised to sw value)B.npy → Magnetic field vector magnitude (normalised to sw value)x.npy, y.npy, z.npy → Spatial coordinates of the simulation gridparameters.txt → Text file containing simulation parameters and setup

Notes:





All arrays share the same grid dimensions Nx, Ny,Nz.









How to read the data (Python example)



import numpy as np

dens = np.load("dens.npy")B = np.load("B.npy")x = np.load("x.npy")y = np.load("y.npy")z = np.load("z.npy")







Parameters and metadataThe file parameters.txt contains the full simulation configuration (solar wind parameters, magnetic field, grid resolution, timestep, boundary conditions, etc.).This file can also be parsed automatically using the analysis scripts available in the GitLab repository: https://gitlab.com/menura_plasma/menura









Simulation notes







Code: Menura (hybrid PIC)




Target: Mercury’s magnetosphere




Solar wind configuration: turbulent









Software



Simulation code: Menura Menura Guide: https://menura.readthedocs.io/
DOI: 10.5281/zenodo.17672619
title: Mercury's magnetosphere with turbulent solar wind conditions using the Menura solver

description: Description of the datasetThis archive contains output from a 3-D hybrid particle-in-cell (PIC) simulation (kinetic ions, fluid electrons) performed with the Menura code, modelling Mercury’s magnetosheath. used in the associated research article.All files are stored in NumPy (.npy) format and can be loaded directly using numpy.load() in Python.









File contents



beta.npy → Plasma betadens.npy → Ion number density (normalised to sw value)Ppar.npy → Parallel ion pressure (normalised to sw value)Pper.npy → Perpendicular ion pressure (normalised to sw value)B.npy → Magnetic field vector magnitude (normalised to sw value)x.npy, y.npy, z.npy → Spatial coordinates of the simulation gridparameters.txt → Text file containing simulation parameters and setup

Notes:





All arrays share the same grid dimensions Nx, Ny,Nz.









How to read the data (Python example)



import numpy as np

dens = np.load("dens.npy")B = np.load("B.npy")x = np.load("x.npy")y = np.load("y.npy")z = np.load("z.npy")







Parameters and metadataThe file parameters.txt contains the full simulation configuration (solar wind parameters, magnetic field, grid resolution, timestep, boundary conditions, etc.).This file can also be parsed automatically using the analysis scripts available in the GitLab repository: https://gitlab.com/menura_plasma/menura









Simulation notes







Code: Menura (hybrid PIC)




Target: Mercury’s magnetosphere




Solar wind configuration: turbulent









Software



Simulation code: Menura Menura Guide: https://menura.readthedocs.io/
DOI: 10.15468/dl.y239zk
title: Occurrence Download

description: A dataset containing 3997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Bythotrephes longimanus"
 ]
}

 The dataset includes 3997 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002413-251120083545085/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/13819080
title: Daftar Pengadilan Indonesia
DOI: 10.34740/kaggle/dsv/13819082
title: BOS Kemdikbud
DOI: 10.15468/dl.mf22u2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-119.7974 35.23712, -119.7857 35.2393, -119.7897 35.24564, -119.8004 35.2427, -119.7974 35.23712))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002414-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.28582217
title: Super black plumage is prevalent among <i>Lepidothrix</i> manakins

description: Super black plumage has been observed across the avian phylogeny, yet few studies have examined the prevalence of super black plumage at the species and subspecies levels. One group where additional super black taxa likely exist is manakins in the genus <i>Lepidothrix</i>. Previous work on these sexually dichromatic taxa showed that male <i>Lepidothrix velutina</i> (Velvety Manakins) have super black plumage, and we observed that males of several other <i>Lepidothrix</i> taxa have black plumage with a velvety appearance that is often associated with super black barbule morphologies. Here, we combine spectrophotometry with scanning electron microscopy to examine the occurrence of super black plumage throughout <i>Lepidothrix</i>. We determine how the barbules of super black taxa differ structurally from barbules of black taxa that lack super black plumage. Our results show that five species and seven subspecies of <i>Lepidothrix</i> have super black plumage, that barbules of back feathers are wider and closer together in super black taxa than in black taxa, and that the super black plumage trait appears to have evolved multiple times independently in the genus. We also show that olive green immature males of super black taxa exhibit wider barbules that are closer together than their counterparts, suggesting the development of super black plumage begins before males molt into their definitive adult plumage.
DOI: 10.6084/m9.figshare.28582217.v2
title: Super black plumage is prevalent among <i>Lepidothrix</i> manakins

description: Super black plumage has been observed across the avian phylogeny, yet few studies have examined the prevalence of super black plumage at the species and subspecies levels. One group where additional super black taxa likely exist is manakins in the genus <i>Lepidothrix</i>. Previous work on these sexually dichromatic taxa showed that male <i>Lepidothrix velutina</i> (Velvety Manakins) have super black plumage, and we observed that males of several other <i>Lepidothrix</i> taxa have black plumage with a velvety appearance that is often associated with super black barbule morphologies. Here, we combine spectrophotometry with scanning electron microscopy to examine the occurrence of super black plumage throughout <i>Lepidothrix</i>. We determine how the barbules of super black taxa differ structurally from barbules of black taxa that lack super black plumage. Our results show that five species and seven subspecies of <i>Lepidothrix</i> have super black plumage, that barbules of back feathers are wider and closer together in super black taxa than in black taxa, and that the super black plumage trait appears to have evolved multiple times independently in the genus. We also show that olive green immature males of super black taxa exhibit wider barbules that are closer together than their counterparts, suggesting the development of super black plumage begins before males molt into their definitive adult plumage.