cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g99fte
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Papaver degenii (Urum. & Jáv.) Kuzmanov",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297868-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pjp8h
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.16_1",
 "TaxonKey is Zapus hudsonius (Zimmermann, 1780)"
 ]
}

 The dataset includes 127 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012338-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7j8kb
title: Occurrence Download

description: A dataset containing 31554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 31554 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283085-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9dsrr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex ×dumanii Lepage"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120539-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ttgwn
title: Occurrence Download

description: A dataset containing 10096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombina orientalis (Boulenger, 1890)"
 ]
}

 The dataset includes 10096 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297906-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tcz92
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zhangixalus prominanus (Smith, 1924)"
 ]
}

 The dataset includes 91 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297919-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj5u9n
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria pseudofrigida (Ostenf. & O.C.Dahl) Schischk. & Knorring",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 659 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120570-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pky3qp
title: Occurrence Download

description: A dataset containing 521068 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perdix perdix (Linnaeus, 1758)"
 ]
}

 The dataset includes 521068 records from 1471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120575-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysqg7h
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is NatureServe Network Species Occurrence Data",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes velox (Say, 1823)"
 ]
}

 The dataset includes 886 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022558-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phrdxp
title: Occurrence Download

description: A dataset containing 3055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 3055 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022559-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12729680
title: CMIP6 HighResMIP HadGEM3-GC3.1 LL, MM and HH datasets for the heat transport in the lower limb of the AMOC

description: These data include datasets for "Resolving mesoscale eddies is crucial for the heat transport in the lower limb of the AMOC", submitted to Geophysical Research Letters.

Each file is prefixed with model resolution (LL, MM and HH) and experiment details (control, SSP5-8.5). Files ending with '_velocities' and '_age_pressure' contain diagnostics projected on the isopycnal surface (sigma2=36.95), depicted in Figures 2 and 3 of the submitted paper.
DOI: 10.5281/zenodo.12729681
title: CMIP6 HighResMIP HadGEM3-GC3.1 LL, MM and HH datasets for the heat transport in the lower limb of the AMOC

description: These data include datasets for "Resolving mesoscale eddies is crucial for the heat transport in the lower limb of the AMOC", submitted to Geophysical Research Letters.

Each file is prefixed with model resolution (LL, MM and HH) and experiment details (control, SSP5-8.5). Files ending with '_velocities' and '_age_pressure' contain diagnostics projected on the isopycnal surface (sigma2=36.95), depicted in Figures 2 and 3 of the submitted paper.
DOI: 10.15468/dl.w38896
title: Occurrence Download

description: A dataset containing 4755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Siluriformes"
 ]
}

 The dataset includes 4755 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022560-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26277865
title: Oreochairs_scutifolia_20240618_trimal.rar

description: A peltate-leaved new species,<i> </i><i>Oreocharis scutifolia</i><i> </i>Z. Xie, Miao Zhang & H. H. Kong, endemic to the Dry and Hot Valley of the Jinsha River Basin, Yunnan, China, is described and illustrated here. It is similar to <i>O. cordatula</i> (Craib) Pellegr. and <i>O. aurantiaca</i> Baill. in floral characters, but differs in its peltate leaf blades, which are unique in the genus (and only occur in one population of <i>O. henryana</i><i> </i>Oliv., but its flowers are smaller, campanulate, and deep purple). Molecular phylogenetic analysis based on transcriptome data also supported <i>O. scutifolia</i> as a new species, while it forms a sister group with <i>O. henryana</i>, <i>O. cordatula</i>, <i>O. minor</i> Pellegr. and <i>O. aurantiaca</i> Baill. (LPP = 1). The new species <i>O. scutifolia</i> is assessed as "Critically Endangered" following the IUCN categories and criteria, due to its small population, and narrow distribution range, thus making it face serious threat from human disturbance, invasive plants and decreasing habitat.
DOI: 10.6084/m9.figshare.26277865.v1
title: Oreochairs_scutifolia_20240618_trimal.rar

description: A peltate-leaved new species,<i> </i><i>Oreocharis scutifolia</i><i> </i>Z. Xie, Miao Zhang & H. H. Kong, endemic to the Dry and Hot Valley of the Jinsha River Basin, Yunnan, China, is described and illustrated here. It is similar to <i>O. cordatula</i> (Craib) Pellegr. and <i>O. aurantiaca</i> Baill. in floral characters, but differs in its peltate leaf blades, which are unique in the genus (and only occur in one population of <i>O. henryana</i><i> </i>Oliv., but its flowers are smaller, campanulate, and deep purple). Molecular phylogenetic analysis based on transcriptome data also supported <i>O. scutifolia</i> as a new species, while it forms a sister group with <i>O. henryana</i>, <i>O. cordatula</i>, <i>O. minor</i> Pellegr. and <i>O. aurantiaca</i> Baill. (LPP = 1). The new species <i>O. scutifolia</i> is assessed as "Critically Endangered" following the IUCN categories and criteria, due to its small population, and narrow distribution range, thus making it face serious threat from human disturbance, invasive plants and decreasing habitat.
DOI: 10.21227/yrsy-ee91
title: Temporal Multi-network of Social Interactions in Bluesky Social (BlueTempNet) Dataset

description: With the advent of decentralized social media platforms such as Bluesky Social (hereafter referred to as Bluesky), there is official support for the public disclosure of user activities with millisecond-level timestamps. Based on the principles of open-source and open-data conditions of Bluesky, our study presents the first integration of the temporal dynamics of users' social interactions, such as blocking, following, and grouping (community formation), into a multi-network. Here, a community is defined as custom Feeds that users bookmark to receive posts of interest. Our methodology involves collecting all existing Bluesky Feeds, including users who liked and generated these Feeds, and providing tools to gather users' interactions within specified date ranges. This approach captures past user activities and supports the ongoing collection of user behavior for the future.
DOI: 10.5281/zenodo.12691018
title: ICPSet: Um Conjunto de Dados Estruturado de Itens de Compras Públicas

description: O ICPSet é um conjunto de dados que compila informações detalhadas sobre compras públicas realizadas pelo Estado de Minas Gerais. Este conjunto abrangente de dados inclui registros de licitações, dispensas, contratos e notas fiscais, estruturados em formato JSON Lines (JSONL) para facilitar o acesso e análise. Cada registro contém atributos como identificação do item, tipo de licitação, ano de realização, preço, unidades de medida e descrição padronizada do item, tanto na forma original quanto pré-processada. 
description: A equipe de autoria agradece a Pedro P. V. Brum pela contribuição na primeira fase deste trabalho. Ao Ministério Público do Estado de Minas Gerais (MPMG) pelo apoio através do Projeto Capacidades Analíticas. Ao Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) e Amazon Web Services (AWS) pelo financiamento recebido através do projeto da parceria entre ambos. Por fim, à CAPES e FAPEMIG pelo apoio às pessoas pesquisadoras envolvidas.
DOI: 10.5281/zenodo.12691019
title: ICPSet: Um Conjunto de Dados Estruturado de Itens de Compras Públicas

description: O ICPSet é um conjunto de dados que compila informações detalhadas sobre compras públicas realizadas pelo Estado de Minas Gerais. Este conjunto abrangente de dados inclui registros de licitações, dispensas, contratos e notas fiscais, estruturados em formato JSON Lines (JSONL) para facilitar o acesso e análise. Cada registro contém atributos como identificação do item, tipo de licitação, ano de realização, preço, unidades de medida e descrição padronizada do item, tanto na forma original quanto pré-processada. 
description: A equipe de autoria agradece a Pedro P. V. Brum pela contribuição na primeira fase deste trabalho. Ao Ministério Público do Estado de Minas Gerais (MPMG) pelo apoio através do Projeto Capacidades Analíticas. Ao Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) e Amazon Web Services (AWS) pelo financiamento recebido através do projeto da parceria entre ambos. Por fim, à CAPES e FAPEMIG pelo apoio às pessoas pesquisadoras envolvidas.
DOI: 10.15468/dl.2jd2ba
title: Occurrence Download

description: A dataset containing 236488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Mammal Collection"
 ]
}

 The dataset includes 236488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022561-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy7ctk
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Vulpes velox (Say, 1823)"
 ]
}

 The dataset includes 132 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022563-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1184/r1/26042788
title: Trained models and testing datasets used in "Approach for the optimization of machine learning models for calculating binary function similarity"

description: This repository contains some trained multi-architecture models and testing datasets for multi-architecture models for the following paper:
Suguru Horimoto, Keane Lucas, and Lujo Bauer. Approach for the optimization of machine learning models for calculating binary function similarity. In <em>Proceedings of the 21st Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA '24)</em>, 2024. 
<br>
In order to use the models and the datasets, please follow the instructions on https://github.com/sgr-ht/mam-for-cbfs
DOI: 10.1184/r1/26042788.v1
title: Trained models and testing datasets used in "Approach for the optimization of machine learning models for calculating binary function similarity"

description: This repository contains some trained multi-architecture models and testing datasets for multi-architecture models for the following paper:
Suguru Horimoto, Keane Lucas, and Lujo Bauer. Approach for the optimization of machine learning models for calculating binary function similarity. In <em>Proceedings of the 21st Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA '24)</em>, 2024. 
<br>
In order to use the models and the datasets, please follow the instructions on https://github.com/sgr-ht/mam-for-cbfs
DOI: 10.15468/dl.n74rr3
title: Occurrence Download

description: A dataset containing 236488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Mammal Collection"
 ]
}

 The dataset includes 236488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022562-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv3fvj
title: Occurrence Download

description: A dataset containing 13712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "DatasetKey is Field Museum of Natural History (Zoology) Mammal Collection"
 ]
}

 The dataset includes 13712 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022565-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10622264
title: PaleoDA South America reconstruction

description: This repository contains the reconstruction data ase presented in "A continental reconstruction of hydroclimatic variability in South America during the past 2000 years", submitted to Climate of the Past in February 2024 [https://egusphere.copernicus.org/preprints/2024/egusphere-2024-545/].  The data can be used to reproduce the Figures of the manuscript using the code in the accompanying Github repository: https://github.com/mchoblet/paleoda_sa/tree/main

Origin of Files:

See paper_experiments.ipynb in  https://github.com/mchoblet/paleoda_sa/

Structure:

The files were compressed for space reasons.

Each ZIP files contains the reconstructions for a specic reconstruction configuration (normal error, same error, half error) and seasonality (annual, DJF). The error type refers to how the proxy record error was defined (see section 3.4 of the manuscript) and the seasonality

The standard reconstruction is the annual normal error reconstruction. The Folder contains subfoldes for different types of reconstructions depending on the proxy data that was used as input (standard is all_proxies). Reconstructions have been performed for five different model priors (see input data here https://zenodo.org/uploads/10370001). I recommend using the multi-model reconstruction mean. 'Proxy_frac' indicates that in each Monte Carlo reconstruction (the mean of 50 iterations is saved) 80% of the proxy record data was used as input data. The structure of the files is relevant for the plotting scripts.

Revision in July 2024:

Due to the inclusion of a dozen more proxy records (11 historical indices and 1 lake sediment record), the results have (slightly) changed and needed to be updated.
DOI: 10.5281/zenodo.10622265
title: PaleoDA South America reconstruction

description: This repository contains the reconstruction data ase presented in "A continental reconstruction of hydroclimatic variability in South America during the past 2000 years", submitted to Climate of the Past in February 2024 [https://egusphere.copernicus.org/preprints/2024/egusphere-2024-545/].  The data can be used to reproduce the Figures of the manuscript using the code in the accompanying Github repository: https://github.com/mchoblet/paleoda_sa/tree/main

Origin of Files:

See paper_experiments.ipynb in  https://github.com/mchoblet/paleoda_sa/

Structure:

The files were compressed for space reasons.

Each ZIP files contains the reconstructions for a specic reconstruction configuration (normal error, same error, half error) and seasonality (annual, DJF). The error type refers to how the proxy record error was defined (see section 3.4 of the manuscript) and the seasonality

The standard reconstruction is the annual normal error reconstruction. The Folder contains subfoldes for different types of reconstructions depending on the proxy data that was used as input (standard is all_proxies). Reconstructions have been performed for five different model priors (see input data here https://zenodo.org/uploads/10370001). I recommend using the multi-model reconstruction mean. 'Proxy_frac' indicates that in each Monte Carlo reconstruction (the mean of 50 iterations is saved) 80% of the proxy record data was used as input data. The structure of the files is relevant for the plotting scripts.
DOI: 10.15468/dl.wyw3u8
title: Occurrence Download

description: A dataset containing 11685 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica L."
 ]
}

 The dataset includes 11685 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022567-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26278780
title: Data Values

description: All data values for experiments completed in this manuscript.
DOI: 10.6084/m9.figshare.26278780.v1
title: Data Values

description: All data values for experiments completed in this manuscript.
DOI: 10.15468/dl.na58ed
title: Occurrence Download

description: A dataset containing 109814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cuphea P.Browne"
 ]
}

 The dataset includes 109814 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022566-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12734861
title: Comparative evaluation of select serological assays for Zika virus using blinded reference panels

description: The aim of this study was to compare assays for detection of immunoglobulin M and/or G (IgM or IgG) from multiple manufacturers. Panels of specimens for testing IgM and IgG assays were built using longitudinal samples collected from blood donors with viral RNA confirmed infections with ZIKV, dengue virus (DENV) and West Nile virus (WNV), respectively. Specimens IgM- or IgG-positive against chikungunya virus (CHIKV), of the genus alphavirus were also included, together with ZIKV-negative samples from endemic (Puerto Rico) and non-endemic (continental USA) regions. Panels were compiled, blinded, and sent to manufacturers for testing. Seven IgM and five IgG assays from four manufacturers were evaluated.
DOI: 10.5281/zenodo.12734862
title: Comparative evaluation of select serological assays for Zika virus using blinded reference panels

description: The aim of this study was to compare assays for detection of immunoglobulin M and/or G (IgM or IgG) from multiple manufacturers. Panels of specimens for testing IgM and IgG assays were built using longitudinal samples collected from blood donors with viral RNA confirmed infections with ZIKV, dengue virus (DENV) and West Nile virus (WNV), respectively. Specimens IgM- or IgG-positive against chikungunya virus (CHIKV), of the genus alphavirus were also included, together with ZIKV-negative samples from endemic (Puerto Rico) and non-endemic (continental USA) regions. Panels were compiled, blinded, and sent to manufacturers for testing. Seven IgM and five IgG assays from four manufacturers were evaluated.
DOI: 10.15468/dl.5yhw87
title: Occurrence Download

description: A dataset containing 9882129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achillea millefolium L., Leontodon autumnalis L., Urtica dioica L., Prunella vulgaris L., Lamium album L., Allium ursinum L., Melilotus officinalis (L.) Lam., Cirsium arvense (L.) Scop., Trifolium pratense L., Trifolium repens L., Cirsium vulgare (Savi) Ten., Taraxacum Weber, Fragaria vesca L., Reseda L., Ranunculus repens L., Narcissus pseudonarcissus L., Ficaria verna Huds., Ranunculus acris L., Onopordum L., Deschampsia cespitosa (L.) P.Beauv., Lavandula angustifolia Mill., Polemonium caeruleum L., Hedera helix L., Prunus spinosa L., Crataegus monogyna Jacq., Rubus L., Clematis vitalba L., Rosa canina L., Vaccinium myrtillus L., Berberis vulgaris L.)",
 "Geometry POLYGON((1.55625 42.80625, 17.89125 42.80625, 17.89125 55.29125, 1.55625 55.29125, 1.55625 42.80625))",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Year is greater than or equal to 1980",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9882129 records from 3104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022569-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.