cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14691522
title: OCNET global daily Chlorophyll-a products

description: We constructed the Ocean Chl-a Reconstruction Neural Ensemble Network (OCNET) model to generate global daily chlorophyll-a (Chl-a) concentration data. The model utilized the climatological data from the Ocean Color Climate Change Initiative (OCCCI) version 6 as the background field and the NOAA MSL12 spatiotemporally continuous daily-scale data as the target dataset. Sea surface temperature (SST), salinity (SAL), photosynthetically available radiation (PAR), and sea surface pressure (SSP) were selected as the primary environmental factors influencing phytoplankton growth and distribution for data reconstruction. Ultimately, we developed a daily-scale global ocean surface Chl-a concentration dataset for the period 2001–2023, with a spatial resolution of 0.25°. This dataset is spatiotemporally continuous, spans a long time period, and shows high consistency with satellite data products in regions with available data. It also addresses the issue of severe data gaps in satellite daily-scale products, providing critical information for long-term and large-scale studies of marine phytoplankton. Compared with traditional interpolation methods, the OCNET model fully leverages the environmental information provided by ERA5 reanalysis data and MODIS satellite data to reconstruct Chl-a concentration data. Moreover, the model is not limited by the size of the marine area or the temporal coverage of the original Chl-a concentration dataset. Provided that reliable environmental variable data are available, the model can serve as an important reference for reconstructing historical Chl-a data and predicting future changes in Chl-a concentration.

The latitude and longitude of the left bottom corner, the number of rows and columns, and grid cells information are all included in each netCDF file. In addition to the Chl-a data generated by the OCNET model, we also provide the OCNET model algorithm (based on Matlab version 2022b), example datasets, and the detection results of Marine High Chlorophyll-a (Chl-a) Events.
DOI: 10.5281/zenodo.8105194
title: OCNET global daily Chlorophyll-a products

description: Ocean color data are essential for developing our understanding of biological and ecological phenomena and processes, and also important sources of input for physical and biogeochemical ocean models. Chlorophyll-a (Chl-a) is a critical variable of ocean color in the marine environment. Quantitative retrieval from satellite remote sensing is a main way to obtain large-scale oceanic Chl-a. However, data missing is a major limitation in satellite remote sensing-based Chl-a products, due mostly to the influence of cloud, sun glint contamination, and high satellite viewing angles. The common methods to reconstruct (gap filling) missing data often consider spatiotemporal information of initial images alone, such as data interpolation empirical orthogonal function, optimal interpolation, Kriging interpolation, and extended Kalman filter. However, these methods do not perform well in the presence of large-scale missing values in the image and ignore the potential of other information on missing pixels in the data reconstruction. Here we developed a convolutional neural network (CNN) named OCNET for Chl-a concentration data reconstruction in open ocean areas, considering environmental variables that are associated with ocean phytoplankton growth and distribution. Sea surface temperature (SST), salinity (SAL), photosynthetically active radiation (PAR), and sea surface pressure (SSP) from reanalysis data and satellite observations were selected as the input of OCNET to correlate with the environment and phytoplankton mass. The developed OCNET model achieves good performance in the reconstruction of global ocean Chl-a concentration data, and captures temporal variations of these features. The global Chl-a dataset covers the period from 2001 to 2021, with a daily temporal resolution and a spatial resolution of 0.25°. The latitude and longitude of the left bottom corner, the number of rows and columns, and grid cells information are all included in each ASCII file. Besides, NAN data are represented by -9999.
DOI: 10.5281/zenodo.8262779
title: OCNET global daily Chlorophyll-a products

description: Ocean color data are essential for developing our understanding of biological and ecological phenomena and processes, and also important sources of input for physical and biogeochemical ocean models. Chlorophyll-a (Chl-a) is a critical variable of ocean color in the marine environment. Quantitative retrieval from satellite remote sensing is a main way to obtain large-scale oceanic Chl-a. However, data missing is a major limitation in satellite remote sensing-based Chl-a products, due mostly to the influence of cloud, sun glint contamination, and high satellite viewing angles. The common methods to reconstruct (gap filling) missing data often consider spatiotemporal information of initial images alone, such as data interpolation empirical orthogonal function, optimal interpolation, Kriging interpolation, and extended Kalman filter. However, these methods do not perform well in the presence of large-scale missing values in the image and ignore the potential of other information on missing pixels in the data reconstruction. Here we developed a convolutional neural network (CNN) named OCNET for Chl-a concentration data reconstruction in open ocean areas, considering environmental variables that are associated with ocean phytoplankton growth and distribution. Sea surface temperature (SST), salinity (SAL), photosynthetically active radiation (PAR), and sea surface pressure (SSP) from reanalysis data and satellite observations were selected as the input of OCNET to correlate with the environment and phytoplankton mass. The developed OCNET model achieves good performance in the reconstruction of global ocean Chl-a concentration data, and captures temporal variations of these features. The global Chl-a dataset covers the period from 2001 to 2021, with a daily temporal resolution and a spatial resolution of 0.25°.


The latitude and longitude of the left bottom corner, the number of rows and columns, and grid cells information are all included in each ASCII file. Besides, NAN data are represented by -9999.
DOI: 10.6084/m9.figshare.28517474
title: Supplementary Data 1 from Challenges and opportunities in leveraging an existing systematic evidence database for mitigating hazards to the global food system

description: Raw data underpinning Figures 2, 3, 4
DOI: 10.6084/m9.figshare.28517474.v1
title: Supplementary Data 1 from Challenges and opportunities in leveraging an existing systematic evidence database for mitigating hazards to the global food system

description: Raw data underpinning Figures 2, 3, 4
DOI: 10.5281/zenodo.14950048
title: Data related to Beijing's red culture

description: 该数据集包含两类数据:一类是北京市在 2019 年评估的 227 处红色文化遗址的坐标和评级(分类数据)。第二部分是北京市 111 个红色景区的坐标和评级(分类数据)。有关每个评级指标的描述,请参阅我们的论文了解详情。
DOI: 10.5281/zenodo.14950049
title: Data related to Beijing's red culture

description: 该数据集包含两类数据:一类是北京市在 2019 年评估的 227 处红色文化遗址的坐标和评级(分类数据)。第二部分是北京市 111 个红色景区的坐标和评级(分类数据)。有关每个评级指标的描述,请参阅我们的论文了解详情。
DOI: 10.5281/zenodo.14950079
title: dendrocygna_autumnalis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14950080
title: dendrocygna_autumnalis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14949933
title: Genomic drivers of pyrethroid resistance escalation in the malaria vector Anopheles funestus across Africa
title: Supplementary figures
title: Supplementary tables

description: Additional informations

These data provide additional information related to the manuscript. They include a supplementary material file containing supplementary figures (Fig. S1–S20) and tables (Table S1–S6) cited in the manuscript, as well as a supplementary text detailing aspects of the methodology and presenting additional findings. Furthermore, supplementary Table 7 reports genes overexpressed in a dose-response manner and associated with pyrethroid resistance escalation in Anopheles funestus in Southern Africa. Supplementary Table 8 lists non-synonymous polymorphisms linked to selective sweeps in An. funestus across Africa, while supplementary Table 9 highlights key structural variant-based duplications associated with selective sweeps in An. funestus across the continent.
DOI: 10.15468/dl.bybhjh
title: Occurrence Download

description: A dataset containing 2920619729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2920619729 records from 61581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001786-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.27c3xo2k
title: Tableur de données du fonds Nivaria Tejera-Fayad Jamís

description: Tableur de données du fonds Nivaria Tejera-Fayad Jamís archivé au CRLA-Archivos de l’Université de Poitiers.
description: Tabla de datos del fondo Nivaria Tejera-Fayad Jamís archivado en el CRLA-Archivos de la Universidad de Poitiers.
description: Source: NT-AE2-4-2
description: Source: Localisation du document : Centre de Recherches Latino-Américaines (CRLA–Archivos, ITEM UMR8132). MSHS - Bât. A5, 1er étage 5 rue Théodore Lefebvre - TSA21103. 86073 Poitiers cedex 9.
DOI: 10.15468/dl.7ykmkf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Jubula lettii (Büttikofer, 1889)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073475-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/whx6-yf54
title: Big Notch water chemistry dataset

description: Raw data for the Big Notch water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2pex-h639
title: Kidney water chemistry dataset

description: Raw data for the Kidney water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.dzx9wh
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Morocco, Western Sahara)",
 "Geometry POLYGON((-30.53301 3.76817,75.53301 3.76817,75.53301 46.23183,-30.53301 46.23183,-30.53301 3.76817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Malpolon moilensis (Reuss, 1834)"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000753-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.km42g4
title: Occurrence Download

description: A dataset containing 377925 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robinia pseudoacacia L."
 ]
}

 The dataset includes 377925 records from 3072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000725-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bwhsx
title: Occurrence Download

description: A dataset containing 123216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trogon collaris Vieillot, 1817"
 ]
}

 The dataset includes 123216 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015143-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6chhc
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "TaxonKey is Salvia leucantha Cav."
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015148-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wbbbx
title: Occurrence Download

description: A dataset containing 10414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muraena helena Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10414 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015146-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu88bq
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 467 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015149-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hkx7h
title: Occurrence Download

description: A dataset containing 22985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panicum capillare L., Panicum capillare var. brevifolium Rydb. & Shear, Panicum capillare var. agreste Gatt., Panicum barbipulvinatum Nash ex Rydb., Panicum acutifolium Willd., Panicum acutifolium Willd. ex Spreng., Panicum riparium H.Scholz, Panicum barbipulvinatum Nash, Panicum capillare Rol., Panicum bobartii Lam., Panicum capillare Rol. ex Rottb., Panicum elegantulum Suksd., Panicum capillare var. occidentale Rydb., Panicum capillare var. brevifolium Vasey ex Scribner, Panicum barbipulvinatum var. hirsutipes Suksd., Millium capillare (L.) Moench, Panicum capillare subsp. capillare, Leptoloma capillaris (L.) Smyth, Chasea capillaris (L.) Nieuwl., Milium capillare (L.) Moench, Panicum capillare var. vulgaris Scribn., 1894, Panicum capillare var. vulgare Scribn., Panicum capillare subsp. barbipulvinatum (Nash ex Rydb.) Tzvelev, Leptoloma barbipulvinata (Nash ex Rydb.) Smyth, Panicum capillare var. barbipulvinatum (Nash ex Rydb.) McGregor, Milium barbipulvinatum (Nash ex Rydb.) Lunell, Panicum capillare var. brevifolium Vasey, 1897)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 22985 records from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015145-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcc7jc
title: Occurrence Download

description: A dataset containing 14894 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia hyssopifolia L."
 ]
}

 The dataset includes 14894 records from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015147-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqbdve
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Taeniatherum caput-medusae (L.) Nevski"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015150-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pug54d
title: Occurrence Download

description: A dataset containing 143 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 (Eucalyptus perriniana Herb.Perrin ex Maiden)"
 ]
}

 The dataset includes 143 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015151-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3rjzj
title: Occurrence Download

description: A dataset containing 393 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 (Eucalyptus curtisii Blakely & C.T.White)"
 ]
}

 The dataset includes 393 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015152-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qszpfe
title: Occurrence Download

description: A dataset containing 1536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Colombia, Ecuador, Peru, Bolivia (Plurinational State of), Costa Rica, Panama, Venezuela (Bolivarian Republic of), Argentina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Escallonia myrtilloides L.fil."
 ]
}

 The dataset includes 1536 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015153-241126133413365/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.27320397
title: Lack of thermal acclimation in multiple indices of climate vulnerability in bumble bees

description: These data are provided in support of the manuscript "Lack of thermal acclimation in multiple indices of climate vulnerability in bumble bees". There are two primary datasets (acclimation_dataset and survival_dataset) along with the corresponding R scripts to analyze the data.
DOI: 10.6084/m9.figshare.27320397.v1
title: Lack of thermal acclimation in multiple indices of climate vulnerability in bumble bees

description: These data are provided in support of the manuscript "Lack of thermal acclimation in multiple indices of climate vulnerability in bumble bees". There are two primary datasets (acclimation_dataset and survival_dataset) along with the corresponding R scripts to analyze the data.
DOI: 10.15468/dl.3nfjx5
title: Occurrence Download

description: A dataset containing 0 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 (Erigeron trifidus Schltdl., 1856)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015154-241126133413365/datasets/export for details.
DOI: 10.15468/dl.27x2da
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bassaricyon alleni Thomas, 1880"
 ]
}

 The dataset includes 105 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015155-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.reupuh
title: Occurrence Download

description: A dataset containing 1676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustelus mustelus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1676 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015156-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f485v
title: Occurrence Download

description: A dataset containing 2745 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 (Erigeron linearis (Hook.) Piper)"
 ]
}

 The dataset includes 2745 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015159-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.