cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n94g7z
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lund University Biological Museum - Insect collections Specimens",
 "Country is Croatia"
 ]
}

 The dataset includes 448 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000982-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/zyvufe
title: A expansão da oferta pública e privada de cursos de engenharia civil

description: Os dados referem-se ao período de 2000 a 2020, da Sinopse da Educação Superior, publicada anualmente pelo INEP (Instituto de Estudos e Pesquisas Educacionais Anísio Teixeira), do Sistema E-MEC (Cadastro de Instituições e de Cursos Superiores) e do Instituto SEMESP (Sindicato das Entidades Mantenedoras de Estabelecimentos de Ensino Superior no Estado de São Paulo).
DOI: 10.15468/dl.5qrm5k
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Marine invertebrate collection NTNU University Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 62 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gtfkg
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Biofokus",
 "Country is Croatia"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000983-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14884599
title: Structural MRI data for mouse model of ataxia.

description: The .zip folder contains:



 DenoisedRaw: contains the raw data in the native space (MGE echoes were denoised with and averaged)

SCA44_2403-command-and-version-15-03-2024-at-11-20-06.sh : command used for the co-registration (from files in DenoisedRaw). 

Jacobians: field deformation maps created with the MBM.py pipeline that co-registered data to the standard space. These are the files used to derive voxel-wise volumetric differences between groups.

VotedLSQ6Atlases: Standard space atlas projected back to the LSQ6 space. These are the files used to derive ROI volumetric differences between groups using the atlas segmentation. 

ForStatAnalysis: files needed for the statistical analysis (https://github.com/clemoune/sca44-memri) + standard space atlas used (Publication_Folder/in-vivo-MEMRI_90micron).
DOI: 10.5281/zenodo.14884600
title: Structural MRI data for mouse model of ataxia.

description: The .zip folder contains:



 DenoisedRaw: contains the raw data in the native space (MGE echoes were denoised with and averaged)

SCA44_2403-command-and-version-15-03-2024-at-11-20-06.sh : command used for the co-registration (from files in DenoisedRaw). 

Jacobians: field deformation maps created with the MBM.py pipeline that co-registered data to the standard space. These are the files used to derive voxel-wise volumetric differences between groups.

VotedLSQ6Atlases: Standard space atlas projected back to the LSQ6 space. These are the files used to derive ROI volumetric differences between groups using the atlas segmentation. 

ForStatAnalysis: files needed for the statistical analysis (https://github.com/clemoune/sca44-memri) + standard space atlas used (Publication_Folder/in-vivo-MEMRI_90micron).
DOI: 10.5281/zenodo.14939780
title: Conservative management of dehiscent scar discovered in the second trimester : a case report
DOI: 10.5281/zenodo.14939781
title: Conservative management of dehiscent scar discovered in the second trimester : a case report
DOI: 10.5281/zenodo.14284882
title: Data Repository: Fast Single-Particle Tracking of Membrane Proteins Combined with Super-Resolution Imaging of Actin Nanodomains

description: This repository contains a collection of correlated 2D super-resolution images obtained through single molecule localization microscopy and 3D time series of single particle tracking data of membrane proteins.  By utilizing high-speed fluorescent microscopy, we tracked a transmembrane protein – the high-affinity IgE receptor – and an outer-leaflet protein – GPI-anchored protein – at the frame rate of 490 Hz. Subsequently, actin structures of the same cells were captured using a super-resolution microscopy (dSTORM technique). Additionally, this dataset includes Technical Validation to support the transition from live-cell imaging to fixed-cell imaging when adding fixation buffers.  

The data was classified as “Class I” and “Class II” describing two categories of RBL-2H3 cells.  In "Class I", the cells were untransfected.  In “Class II”, the cells were transfected to express GFP-GPI-anchored fusion protein. The zip folder names that include “IgE Untreated” include image time series of fluorescently labeled IgE receptors in untreated RBL-2H3 cells and image series of corresponding super-resolution imaging of fluorescently labeled actin filaments of the same cell in “SRImage” folder.

The data with folder names including with “IgE Treated” are image time series of fluorescently labeled IgE receptors in either phalloidin- or PMA-treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

Similarly, the data with folder names starting with “GPI Untreated” are image time series of fluorescently labeled GPI-anchored proteins in untreated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The data with folder names starting with “GPI Treated” are image time series of fluorescently labeled GPI-anchored proteins in phalloidin treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The number within each folder name represents an individual experiment and the corresponding data collected under the same conditions.

For all experiments an IR movie was added to monitor the cell morphology during live-cell image and adding initial fixation buffer and it was saved in the tracking file. 

The HDF5 files of all data are available in the second version of this repository. For each sample, there are two files: "Tracking.h5" and "SuperResolution_actin.h5". The "Tracking" files include two groups: single-particle tracking data and IR images during tracking. The "SuperResolution_actin" files contain two groups: super-resolution images of actin filaments and IR reference images for image registeration and drift correction during data collection.
DOI: 10.5281/zenodo.11270414
title: Data Repository: Fast Single-Particle Tracking of Membrane Proteins Combined with Super-Resolution Imaging of Actin Nanodomains

description: This repository contains a collection of correlated 2D super-resolution images obtained through single molecule localization microscopy and 3D time series of single particle tracking data of membrane proteins.  By utilizing high-speed fluorescent microscopy, we tracked a transmembrane protein – the high-affinity IgE receptor – and an outer-leaflet protein – GPI-anchored protein – at the frame rate of 490 Hz. Subsequently, actin structures of the same cells were captured using a super-resolution microscopy (dSTORM technique). Additionally, this dataset includes Technical Validation to support the transition from live-cell imaging to fixed-cell imaging when adding fixation buffers.  

The data was classified as “Class I” and “Class II” describing two categories of RBL-2H3 cells.  In "Class I", the cells were untransfected.  In “Class II”, the cells were transfected to express GFP-GPI-anchored fusion protein. The zip folder names that include “IgE Untreated” include image time series of fluorescently labeled IgE receptors in untreated RBL-2H3 cells and image series of corresponding super-resolution imaging of fluorescently labeled actin filaments of the same cell in “SRImage” folder.

The data with folder names including with “IgE Treated” are image time series of fluorescently labeled IgE receptors in either phalloidin- or PMA-treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

Similarly, the data with folder names starting with “GPI Untreated” are image time series of fluorescently labeled GPI-anchored proteins in untreated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The data with folder names starting with “GPI Treated” are image time series of fluorescently labeled GPI-anchored proteins in phalloidin treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The number within each folder name represents an individual experiment and the corresponding data collected under the same conditions.

For all experiments an IR movie was added to monitor the cell morphology during live-cell image and adding initial fixation buffer and it was saved in the tracking file. 

The HDF5 files of all data are available in the second version of this repository. For each sample, there are two files: "Tracking.h5" and "SuperResolution_actin.h5". The "Tracking" files include two groups: single-particle tracking data and IR images during tracking. The "SuperResolution_actin" files contain two groups: super-resolution images of actin filaments and IR reference images for image registeration and drift correction during data collection.
DOI: 10.5281/zenodo.11270415
title: Data Repository: Fast Single-Particle Tracking of Membrane Proteins Combined with Super-Resolution Imaging of Actin Nanodomains

description: This repository contains a collection of correlated 2D super-resolution images obtained through single molecule localization microscopy and 3D time series of single particle tracking data of membrane proteins.  By utilizing high-speed fluorescent microscopy, we tracked a transmembrane protein – the high-affinity IgE receptor – and an outer-leaflet protein – GPI-anchored protein – at the frame rate of 490 Hz. Subsequently, actin structures of the same cells were captured using a super-resolution microscopy (dSTORM technique). Additionally, this dataset includes Technical Validation to support the transition from live-cell imaging to fixed-cell imaging when adding fixation buffers.

The data was classified as “Class I” and “Class II” describing two categories of RBL-2H3 cells.  In "Class I", the cells were untransfected.  In “Class II”, the cells were transfected to express GFP-GPI-anchored fusion protein. The zip folder names that include “IgE Untreated” include image time series of fluorescently labeled IgE receptors in untreated RBL-2H3 cells and image series of corresponding super-resolution imaging of fluorescently labeled actin filaments of the same cell in “SRImage” folder.

The data with folder names including with “IgE Treated” are image time series of fluorescently labeled IgE receptors in either phalloidin- or PMA-treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

Similarly, the data with folder names starting with “GPI Untreated” are image time series of fluorescently labeled GPI-anchored proteins in untreated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The data with folder names starting with “GPI Treated” are image time series of fluorescently labeled GPI-anchored proteins in phalloidin treated RBL-2H3 cells and corresponding image series of super-resolution imaging of fluorescently labeled actin filaments in the same cell.

The number within each folder name represents an individual experiment and the corresponding data collected under the same conditions.

For all experiments an IR movie was added to monitor the cell morphology during live-cell image and adding initial fixation buffer and it was saved in the tracking file.
DOI: 10.15468/dl.ackntu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Araneae collection (AR) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000985-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ya2m4
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium specimens of the Muséum d'Histoire Naturelle of Aix-en-Provence (AIX)",
 "Country is Croatia"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000988-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/42629
title: Chandra X-ray Observatory ObsId 42629
DOI: 10.15468/dl.q3umqg
title: Occurrence Download

description: A dataset containing 36466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex opaca Aiton"
 ]
}

 The dataset includes 36466 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000989-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgxavd
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruditapes philippinarum (A.Adams & Reeve, 1850)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1655 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010564-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14078988
title: Grand Canyon and Glen Canyon Brown Trout Specimen Details from Natal Origin Analysis

description: Specimen details of brown trout that were included in linear discriminant analysis (LDA) for natal origins, and tracking emigration patterns in the Colorado River in Glen and Grand canyons.
DOI: 10.5281/zenodo.14078989
title: Brown Trout Specimen Details from Natal Origin Analysis

description: Specimen details of brown trout that were included in linear discriminant analysis (LDA) for natal origins, and tracking emigration patterns in the Colorado River in Glen and Grand canyons. Rkm - River kilomter, Era- capture period (P1 - 2011-2017; P2 - 2018-2022), BAC.R - Reach captured in Bright Angel Creek, TL - total length in milimeters, E. Age - Age of emigration from tributary stream, E. Seas. - season that emigration took place, ID- unique specimen identifier. Classes: BAC - Bright Angel Creek, MSC - Mainstem Colorado River, TPS - Tapeats Creek, EE - Early Emigrant (tributary origin), TU - Tributary Unknown (LDA probability < 70%).
DOI: 10.5281/zenodo.14257367
title: Grand Canyon and Glen Canyon Brown Trout Specimen Details from Natal Origin Analysis

description: Specimen details of brown trout that were included in linear discriminant analysis (LDA) for natal origins, and tracking emigration patterns in the Colorado River in Glen and Grand canyons.
DOI: 10.15468/dl.dmvrvn
title: Occurrence Download

description: A dataset containing 11854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bulweria bulwerii (Jardine & Selby, 1828)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11854 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010565-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0004132
title: 水稻中紫1号和中紫4号品种审定证书
DOI: 10.5281/zenodo.8385250
title: Mg/Ca and Stable isotopes (d18O and d13C) measured on G. bulloides and G. inflata of sediment core PS75/056-1

description: Geochemical measurements of G. bulloides and G. inflata from core PS75/056-1
DOI: 10.5281/zenodo.8385251
title: Mg/Ca and Stable isotopes (d18O and d13C) measured on G. bulloides and G. inflata of sediment core PS75/056-1

description: Geochemical measurements of G. bulloides and G. inflata from core PS75/056-1
DOI: 10.15468/dl.k5rwu3
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquilegia turczaninovii Kamelin & Gubanov"
 ]
}

 The dataset includes 49 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010566-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r27ga7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procellaria bulwerii Jardine & Selby, 1828",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010567-241126133413365/datasets/export for details.
DOI: 10.15468/dl.9etyv3
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atheresthes evermanni Jordan & Starks, 1904",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010568-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpjszs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reinhardtius evermanni (Jordan & Starks, 1904)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010571-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14254294
title: SecLLM

description: Generative Artificial Intelligence, and in particular Large Language Models (LLMs) and LLM-based Agents, have significantly changed the way how we (humans) perform our daily activities; features like being able to establish smart conversations with and without context, as well as their capabilities for answering questions from any kind and domain is attracting more attention from the researchers and practitioners communities because we need to understand and assess the weaknesses and strengths of the models. For instance, hallucination is a well-known issue in LLMs, as well as the possibility of providing inappropriate questions when the models lack filters or are biased or poisoned. Previous work has been devoted to asses LLMs under different contexts and scenarios, e.g., code generation. However, few studies have been done in the context of information security; to our knowledge, no previous work has analyzed the quality of answers provided by LLMs to cybersecurity-related questions. Therefore, we present a dataset of questions extracted from StackExchange, including their top-10 answers and the ones generated by three GPT models (3.5-Turbo, 4-4o) for 5K+ questions; the dataset also includes similarity metrics (e.g., ROUGE, SacreBLUE, BERTScore) of the LLM-based answers when compared to the human-accepted ones.
DOI: 10.5281/zenodo.14254295
title: SecLLM

description: Generative Artificial Intelligence, and in particular Large Language Models (LLMs) and LLM-based Agents, have significantly changed the way how we (humans) perform our daily activities; features like being able to establish smart conversations with and without context, as well as their capabilities for answering questions from any kind and domain is attracting more attention from the researchers and practitioners communities because we need to understand and assess the weaknesses and strengths of the models. For instance, hallucination is a well-known issue in LLMs, as well as the possibility of providing inappropriate questions when the models lack filters or are biased or poisoned. Previous work has been devoted to asses LLMs under different contexts and scenarios, e.g., code generation. However, few studies have been done in the context of information security; to our knowledge, no previous work has analyzed the quality of answers provided by LLMs to cybersecurity-related questions. Therefore, we present a dataset of questions extracted from StackExchange, including their top-10 answers and the ones generated by three GPT models (3.5-Turbo, 4-4o) for 5K+ questions; the dataset also includes similarity metrics (e.g., ROUGE, SacreBLUE, BERTScore) of the LLM-based answers when compared to the human-accepted ones.
DOI: 10.15468/dl.59ym43
title: Occurrence Download

description: A dataset containing 2382 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylocarpus granatum J.Koenig"
 ]
}

 The dataset includes 2382 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010572-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8y9ra
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus acanthias Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010574-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99rfcp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 547538"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010576-241126133413365/datasets/export for details.
DOI: 10.15468/dl.6542dh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus suckleyi (Girard, 1855)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010577-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.