cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15025600
title: CHIRPS Daily Precipitation for Boeotikos Kifissos River Basin

description: Contains data from Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) precipitation dataset. CHIRPS integrates 0.05° resolution satellite imagery with ground station data to generate gridded rainfall time series.

The datacude includes daily precipitation measurements from 01-Oct-2019 to 30-Sep-2021 for the Boeotikos Kifissos river basin.

 

 



Dimentions:



time: 1096

latitude: 9

longitude: 19



Data variables: (time, latitude, longitude)

Size: 759kB


Dimensions: (time: 1096, latitude: 9, longitude: 19)
DOI: 10.71804/r80n-tq48
title: Use of recombinant protein corona in targeted nucleic acids delivery mediated by cationic star polymers
title: Wykorzystanie korony z rekombinowanych białek w celowanym dostarczaniu kwasów nukleinowych przez kationowe polimery gwiaździste

description: <p>Lorem ipsum</p>
description: <p>Lorem ipsum</p>
DOI: 10.15468/dl.4kxhv3
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-32.42822 33.25957,-22.24993 33.25957,-22.24993 41.1869,-32.42822 41.1869,-32.42822 33.25957))",
 "TaxonKey is Pericallis malvifolia subsp. malvifolia",
 "Year 1975-2025"
 ]
}

 The dataset includes 865 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003900-250325103851331/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.28673399
title: Phylogenetic analysis

description: This repository contains data and scripts used for pangenome analysis in the paper 'Characterization of <i>Mycobacterium antarcticum </i>sp. nov., a psychrotolerant member of the genus <i>Mycobacterium</i> isolated from Antarctic soil'.
DOI: 10.6084/m9.figshare.28673399.v1
title: Phylogenetic analysis

description: This repository contains data and scripts used for pangenome analysis in the paper 'Characterization of <i>Mycobacterium antarcticum </i>sp. nov., a psychrotolerant member of the genus <i>Mycobacterium</i> isolated from Antarctic soil'.
DOI: 10.18167/dvn1/yqikie
title: "Parare-Arataye" permanent plots eighth census, 2022, Nouragues forest

description: Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities.
DOI: 10.15468/dl.68tyfk
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Leopardus tigrinus (Schreber, 1775)"
 ]
}

 The dataset's 3 records were derived from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003893-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqn6fw
title: Occurrence Download

description: A dataset containing 41538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is NLD.4.3_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year is one of (2022, 2024)"
 ]
}

 The dataset includes 41538 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003902-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13t47x7
title: Telemetry detections of hatchery reared Cisco in Lake Erie with reference to temperature and predation, 2021-2022

description: Cisco (Coregonus artedi) have been extirpated from Lake Erie since the 1960s, but they once supported one of the largest Laurentian Great Lakes fisheries. Reintroduction may be beneficial to the Lake Erie fishery, but impediments for re-establishment are not fully understood. This data set aimed to use acoustic telemetry to investigate the thermal habitat use and survival of hatchery-reared adult Cisco in Lake Erie. Fish were experimentally released (n=50 per site) at two locations: near Dunkirk, New York, and Huron, Ohio. Fish were tracked using the Great Lakes Acoustic Telemetry Observation System (GLATOS).
DOI: 10.5281/zenodo.15029622
title: single cell data of S100A8

description: The uploaded files included two datas of wild type and S100a8-cKO mice: LLC tumor CD45+ cells and bone marrow cells from naive cells.
DOI: 10.5281/zenodo.15029623
title: single cell data of S100A8

description: The uploaded files included two datas of wild type and S100a8-cKO mice: LLC tumor CD45+ cells and bone marrow cells from naive cells.
DOI: 10.17632/3m3t4f9ft3.2
title: MULA, an affordable framework for multifunctional liquid automation in natural- and life sciences with a focus on hardware design, setup, modularity and validation

description: The implementation of automation has already had a considerable impact on chemical and pharmaceutical industrial laboratories. However, academic laboratories have often been more reluctant in adapting such a technology due to the high cost of commercial liquid handling systems. We present here a detailed description of the setup, validation, and utilization of a multifunctional liquid automation (MULA) system that can be used to automate various chemical and biological tasks. Considering that such a setup must be highly customizable, we also designed MULA with respect to modularity, providing detailed insight as far as possible. Including all 3D-printed parts and the used Hamilton gastight micro syringe, the total construction cost is approximately 700 €. This allows us to achieve a highly reliable and accurate system that exceeds the precision of a classical air displacement pipette while still retaining the ability to use closed vial (septa) setups. To encourage other groups to adapt this setup, detailed instructions and tips for every step of the process are provided, along with the complete CAD design of MULA and control code, which are freely available for download under the CC BY NC 3.0 license.
DOI: 10.17632/3m3t4f9ft3.3
title: MULA, an affordable framework for multifunctional liquid automation in natural- and life sciences with a focus on hardware design, setup, modularity and validation

description: The implementation of automation has already had a considerable impact on chemical and pharmaceutical industrial laboratories. However, academic laboratories have often been more reluctant in adapting such a technology due to the high cost of commercial liquid handling systems. We present here a detailed description of the setup, validation, and utilization of a multifunctional liquid automation (MULA) system that can be used to automate various chemical and biological tasks. Considering that such a setup must be highly customizable, we also designed MULA with respect to modularity, providing detailed insight as far as possible. Including all 3D-printed parts and the used Hamilton gastight micro syringe, the total construction cost is approximately 700 €. This allows us to achieve a highly reliable and accurate system that exceeds the precision of a classical air displacement pipette while still retaining the ability to use closed vial (septa) setups. To encourage other groups to adapt this setup, detailed instructions and tips for every step of the process are provided, along with the complete CAD design of MULA and control code, which are freely available for download under the CC BY NC 3.0 license.
DOI: 10.17632/3m3t4f9ft3.1
title: MULA, an affordable framework for multifunctional liquid automation in natural- and life sciences with a focus on hardware design, setup, modularity and validation

description: In this repository, all neccesary hardware and software can be found to replicate MULA.
DOI: 10.17632/3m3t4f9ft3.4
title: MULA, an affordable framework for multifunctional liquid automation in natural- and life sciences with a focus on hardware design, setup, modularity and validation

description: The implementation of automation has already had a considerable impact on chemical and pharmaceutical industrial laboratories. However, academic laboratories have often been more reluctant in adapting such a technology due to the high cost of commercial liquid handling systems. We present here a detailed description of the setup, validation, and utilization of a multifunctional liquid automation (MULA) system that can be used to automate various chemical and biological tasks. Considering that such a setup must be highly customizable, we also designed MULA with respect to modularity, providing detailed insight as far as possible. Including all 3D-printed parts and the used Hamilton gastight micro syringe, the total construction cost is approximately 700 €. This allows us to achieve a highly reliable and accurate system that exceeds the precision of a classical air displacement pipette while still retaining the ability to use closed vial (septa) setups. To encourage other groups to adapt this setup, detailed instructions and tips for every step of the process are provided, along with the complete CAD design of MULA and control code, which are freely available for download under the CC BY NC 3.0 license.
DOI: 10.17632/xgwg8z3n5r
title: Redes Sociales Sociedades Médicas Colombianas

description: Recopilación de las redes sociales que emplean actualmente las sociedades médicas colombianas (Página Web, Facebook, Instagram, X, Tik Tok, YouTube, LinkedIn.

Realizado por: Santiago Velásquez Murcia (2025).
DOI: 10.17632/xgwg8z3n5r.1
title: Redes Sociales Sociedades Médicas Colombianas

description: Recopilación de las redes sociales que emplean actualmente las sociedades médicas colombianas (Página Web, Facebook, Instagram, X, Tik Tok, YouTube, LinkedIn.

Realizado por: Santiago Velásquez Murcia (2025).
DOI: 10.15468/dl.ysjykr
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Julbernardia paniculata (Benth.) Troupin"
 ]
}

 The dataset includes 867 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003903-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18167/dvn1/l3kyob
title: "Grand Plateau" permanent plots eighth census, 2022, Nouragues forest

description: Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities.
DOI: 10.5287/ora-nzowzxbrq
title: Mathematica notebooks accompanying: Hierarchical mechanical patterns in morphogenesis: from mollusc shells to plants, fungi and animals

description: Mathematica notebooks that reproduce the mathematical computations presented in the manuscript
DOI: 10.18167/dvn1/hxks4e
title: Nouragues forest permanent plots details

description: Nouragues Scientific Station. Plots size, location and type. Guyafor network
DOI: 10.5281/zenodo.15096538
title: Marine litter abundance and composition on Pacific Latin American beaches, registered by the Científicos de la Basura citizen science program

description: Data set generated by means of citizen science, which contains the abundances of the principal litter items registered on beaches along the Pacific coast of Latin America in 2021. Specifically, the data set contains the numbers of macrolitter items (> 2.5 cm) counted within 3m x 3m sampling stations positioned within the surveyed beaches, grouped according to different material categories (such as papers, plastics, cigarette butts, among others). The data set also contains the sampling dates, the names and coordinates of the surveyed beaches, the country where they are located, the nearest coastal city or town to each beach, the name of the school or the type of volunteers group that conducted each sampling, the total sum of anthropogenic litter items within each sampling station, and the mean abundance per square meter.
description: https://cientificosdelabasura.ucn.cl/
DOI: 10.5281/zenodo.15096539
title: Marine litter abundance and composition on Pacific Latin American beaches, registered by the Científicos de la Basura citizen science program

description: Data set generated by means of citizen science, which contains the abundances of the principal litter items registered on beaches along the Pacific coast of Latin America in 2021. Specifically, the data set contains the numbers of macrolitter items (> 2.5 cm) counted within 3m x 3m sampling stations positioned within the surveyed beaches, grouped according to different material categories (such as papers, plastics, cigarette butts, among others). The data set also contains the sampling dates, the names and coordinates of the surveyed beaches, the country where they are located, the nearest coastal city or town to each beach, the name of the school or the type of volunteers group that conducted each sampling, the total sum of anthropogenic litter items within each sampling station, and the mean abundance per square meter.
description: https://cientificosdelabasura.ucn.cl/
DOI: 10.15468/dl.gja3ws
title: Occurrence Download

description: A dataset listing the 1771 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is NLD.9.4_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 2022-2022"
 ]
}

 The dataset's 1771 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003898-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rz9tkd
title: Occurrence Download

description: A dataset containing 5033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-9939.0",
 "Geometry POLYGON((-133.88778 25.75019,-54.85908 25.75019,-54.85908 55.25423,-133.88778 55.25423,-133.88778 25.75019))",
 "TaxonKey is Bromus tectorum L."
 ]
}

 The dataset includes 5033 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dvyrx
title: Occurrence Download

description: A dataset containing 23945388 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 23945388 records were derived from 58203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003876-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvu8cy
title: Occurrence Download

description: A dataset containing 19461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nesomyidae"
 ]
}

 The dataset includes 19461 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004479-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2120096799
title: Chlorite dismutase (CLD) at the high pressure laboratory near id30a3

description: Chlorite dismutase pressurized by Kr and O2 at the high pressure lab near id30a3
to do that we need to borrow a bottle of O2 from the ESRF storage
DOI: 10.5281/zenodo.14197521
title: data collection for online learning in two-layer quasi-geostrophic model

description: Edit in ver 2, 19 Apr 2025:



updated training scripts and figure analysis files to be consistent with article dataset presenttion, and fixing an inconsistency regarding batch normalisation

addition of sample results

minor renaming of files (e.g. "_formal.ipynb" -> "_final.ipynb")


=========================

Data for "Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence". Contains



data for training the model offline (train.nc)

data for training the model online (high_coarsed_*.nc)

notebook for training the model offline (JAX_Equinox_offline0_1to1_no_std_formal.ipynb)

notebook for training the model online (pyqgjax_Equinox_online_no_std_formal.ipynb)


Files collected in different zip files to avoid the need to download the whole pack in one go.
description: Financial support from AI4PEX (Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models), a project supported by the European Union's Horizon Europe research and innovation programme under grant agreement no. 101137682, and HK RGC General Research Fund 16304021.
DOI: 10.5281/zenodo.14197522
title: data collection for online learning in two-layer quasi-geostrophic model

description: Data for "Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence". Contains



data for training the model offline (train.nc)

data for training the model online (high_coarsed_*.nc)

notebook for training the model offline (JAX_Equinox_offline0_1to1_no_std_formal.ipynb)

notebook for training the model online (pyqgjax_Equinox_online_no_std_formal.ipynb)


Files collected in different zip files to avoid the need to download the whole pack in one go.
description: Financial support from AI4PEX (Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models), a project supported by the European Union's Horizon Europe research and innovation programme under grant agreement no. 101137682, and HK RGC General Research Fund 16304021.
DOI: 10.5281/zenodo.15244460
title: data collection for online learning in two-layer quasi-geostrophic model

description: Edit in ver 2, 19 Apr 2025:



updated training scripts and figure analysis files to be consistent with article dataset presenttion, and fixing an inconsistency regarding batch normalisation

addition of sample results

minor renaming of files (e.g. "_formal.ipynb" -> "_final.ipynb")


=========================

Data for "Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence". Contains



data for training the model offline (train.nc)

data for training the model online (high_coarsed_*.nc)

notebook for training the model offline (JAX_Equinox_offline0_1to1_no_std_formal.ipynb)

notebook for training the model online (pyqgjax_Equinox_online_no_std_formal.ipynb)


Files collected in different zip files to avoid the need to download the whole pack in one go.
description: Financial support from AI4PEX (Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models), a project supported by the European Union's Horizon Europe research and innovation programme under grant agreement no. 101137682, and HK RGC General Research Fund 16304021.
DOI: 10.13145/bacdive147243.20251217.10
title: Leifsonia aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0135272.10fu
title: SH0135272.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0135273.10fu
title: SH0135273.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive147244.20241212.9.2
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive147244.20251217.10
title: Capnocytophaga canimorsus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.