cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uacek2
title: Occurrence Download

description: A dataset containing 1776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium boreale",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1776 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012147-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8bbcy
title: Occurrence Download

description: A dataset containing 11024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Human Observation)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptasthenura setaria",
 "Year 1970-2025"
 ]
}

 The dataset includes 11024 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012146-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyxzfx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Passerella iliaca)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012150-250711103210423/datasets/export for details.
DOI: 10.15468/dl.smvkqk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gambusia affinis",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012149-250711103210423/datasets/export for details.
DOI: 10.21227/4k46-pn50
title: "Dataset of Miao Batik Pattern Styles"

description: "The \"picked\" dataset features tightly integrated visual-content and textual-description. Each filename is a refined prompt from prompt engineering, precisely capturing intricate details, style traits, and cultural connotations of corresponding Miao batik images\u2014serving as a key bridge for the model to learn text-image mapping.The \"original\" dataset, the experimental foundation, derives from field visits to Miao areas (Yunnan, Sichuan, Guizhou) with patterns from costumes, home decor, etc. Combined with scholars' authoritative books, it underwent systematic sorting to ensure authenticity, representativeness, and a solid basis for model training.The \"generated\" dataset comprises samples produced via the proposed improved stable diffusion model. Trained on the \"original\" dataset and guided by \"picked\" prompts, these patterns inherit traditional Miao batik styles and cultural essence while adding innovations, directly demonstrating the method's effectiveness and offering new avenues for batik design."
DOI: 10.15468/dl.ay3hqg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium murale",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012152-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncr2qz
title: Occurrence Download

description: A dataset containing 13553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wasmannia auropunctata"
 ]
}

 The dataset includes 13553 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012151-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmn7nr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACV4371"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012153-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9btu4e
title: Occurrence Download

description: A dataset containing 2476433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is Europe",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2476433 records from 2504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012116-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.een8p4
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phasianus versicolor versicolor)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093199-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3221
title: 2-Ethylbiphenyl: Experimental and Derived Thermodynamic Properties
DOI: 10.15468/dl.z9aycu
title: Occurrence Download

description: A dataset containing 33995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Hyla cinerea (Schneider, 1799))"
 ]
}

 The dataset includes 33995 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093200-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fd786q
title: Occurrence Download

description: A dataset containing 872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus densiflorus (Kunth) Jessop)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 872 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093201-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12533470
title: TestProcesses for Sherpa UFO
DOI: 10.5281/zenodo.12533469
title: TestProcesses for Sherpa UFO
DOI: 10.15468/dl.b3assn
title: Occurrence Download

description: A dataset containing 19681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta hutchinsii hutchinsii)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19681 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093202-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sghnge
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus macowanii Baker)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 182 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093203-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/01451
title: Chandra X-ray Observatory ObsId 01451

description: STELLAR CORONAL SPECTROSCOPY OF COOL STARS
DOI: 10.5281/zenodo.10822756
title: nextGEMS_cycle3_datasets_statistical_summaries_for_streamed_data_from_climate_simulations

description: This repo holds the datasets used in the paper "Statistical summaries for streamed data from climate simulations" by Katherine Grayson submitted to GMD. All the data comes from the nextGEMS cycle 3 and has been regridded for plotting purposes with resolution given in the title of each data set. The wind speed data set has been made by taking the root mean square of the v10 and u10 components respectively. All data has been retrived and regridded through the AQUA reader on the Levante supercomputer, developed as part of the Destination Earth initative.
DOI: 10.5281/zenodo.10822755
title: nextGEMS cycle3 datasets: statistical summaries for streamed data from climate simulations

description: This Zenodo holds the datasets used in the paper "Statistical summaries for streamed data from climate simulations" by Katherine Grayson. All the data comes from the nextGEMS cycle 3 and has been regridded for plotting purposes with resolution given in the title of each data set. The wind speed data set has been made by taking the square root of the squared and summed v10 and u10 components respectively. All data has been retrieved and regridded through the AQUA reader on the Levante supercomputer, developed as part of the Destination Earth initative. The source code to create all the figures using this data can be found in https://github.com/kat-grayson/one_pass_algorithms_paper/tree/main
DOI: 10.5281/zenodo.11186862
title: nextGEMS_cycle3_datasets_statistical_summaries_for_streamed_data_from_climate_simulations

description: This repo holds the datasets used in the paper "Statistical summaries for streamed data from climate simulations" by Katherine Grayson submitted to GMD. All the data comes from the nextGEMS cycle 3 and has been regridded for plotting purposes with resolution given in the title of each data set. The wind speed data set has been made by taking the square root of the squared and summed v10 and u10 components respectively. All data has been retrieved and regridded through the AQUA reader on the Levante supercomputer, developed as part of the Destination Earth initative. The source code to create all the figures using this data can be found in https://github.com/kat-grayson/one_pass_algorithms_paper/tree/main
DOI: 10.5281/zenodo.12533515
title: Supplemental Data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud."

description: All supplemental data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud."Abstract:We propose Adaptive Container Service (ACS), a new paradigm for deploying bioinformatics workflows in cloud computing environments. By encapsulating the entire workflow within a single virtual container, combined with automatic workflow checkpointing and dynamic migration to appropriately scaled containers, ACS-based deployment demonstrates several key advantages over alternative strategies: it enables optimal resource provision to any workflow that comprise of multiple applications with diverse computing needs; it provides protection against application-agnostic out-of-memory (OOM) errors or spot instance interruptions; and it reduces efforts required for workflow development, optimization, and management because it runs workflows with minimal or no code modifications. Proof-of-concept experiments show that ACS avoided both under- and over-provisioning in monolithic single-container deployment. Despite being deployed as a single container, it achieved comparable resource utilization efficiency as optimized Nextflow-managed, multi-modular workflows. Analysis of over 18,000 workflow runs demonstrated that ACS can effectively reduce workflow failures by two-thirds. These findings suggest that ACS frees developers from navigating the complexity of deploying robust workflows and rightsizing compute resources in the cloud, leading to significant reduction in workflow development time and savings in cloud computing costs.Contains the following directories:Fig2-bbtools: running metrics for BBToolsFig3-rna-seq: running metrics for RNA-SeqFig4-Job_records: meta data and running metrics of 18,000+ jobs
DOI: 10.5281/zenodo.12533516
title: Supplemental Data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud."

description: All supplemental data for "Adaptive Container Service: a New Paradigm for Robust and Optimized Bioinformatics Workflow Deployment in the Cloud."Abstract:We propose Adaptive Container Service (ACS), a new paradigm for deploying bioinformatics workflows in cloud computing environments. By encapsulating the entire workflow within a single virtual container, combined with automatic workflow checkpointing and dynamic migration to appropriately scaled containers, ACS-based deployment demonstrates several key advantages over alternative strategies: it enables optimal resource provision to any workflow that comprise of multiple applications with diverse computing needs; it provides protection against application-agnostic out-of-memory (OOM) errors or spot instance interruptions; and it reduces efforts required for workflow development, optimization, and management because it runs workflows with minimal or no code modifications. Proof-of-concept experiments show that ACS avoided both under- and over-provisioning in monolithic single-container deployment. Despite being deployed as a single container, it achieved comparable resource utilization efficiency as optimized Nextflow-managed, multi-modular workflows. Analysis of over 18,000 workflow runs demonstrated that ACS can effectively reduce workflow failures by two-thirds. These findings suggest that ACS frees developers from navigating the complexity of deploying robust workflows and rightsizing compute resources in the cloud, leading to significant reduction in workflow development time and savings in cloud computing costs.Contains the following directories:Fig2-bbtools: running metrics for BBToolsFig3-rna-seq: running metrics for RNA-SeqFig4-Job_records: meta data and running metrics of 18,000+ jobs
DOI: 10.15468/dl.du72mt
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thalassornis leuconotus leuconotus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 203 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093204-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rjsmr
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus virgatus Baker)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 614 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093205-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12533568
title: D8.1 Ethics report WP8

description: Report on ethics WP8 until May 2024
DOI: 10.5281/zenodo.12533569
title: D8.1 Ethics report WP8

description: Report on ethics WP8 until May 2024
DOI: 10.15468/dl.eykmcu
title: Occurrence Download

description: A dataset containing 3171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceryle rudis rudis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3171 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093207-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwmrvw
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus asiaticus L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093208-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jury7p
title: Occurrence Download

description: A dataset listing the 20781 species recorded in GBIF matching the query:
{
 "and" : [
 "StateProvince is New Mexico",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 20781 records were derived from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093185-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zjx7y
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "DatasetKey is one of (Tropicos MO Specimen Data, Field Museum of Natural History (Botany) Seed Plant Collection, SPF - Herbário da Universidade de São Paulo, Herbarium - Instituto Nacional de Pesquisas da Amazônia (INPA), Geneva Herbarium – De Candolle's Prodromus (G-DC), Herbario Amazónico Colombiano, NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, NMNH Extant Specimen Records (USNM, US), Tropicos Specimens Non-MO)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphilophium parkeri (DC.) L.G.Lohmann"
 ]
}

 The dataset includes 71 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093209-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3342
title: Reference Building Premise Plumbing Designs
DOI: 10.5281/zenodo.11973456
title: BIOSCAN-5M

description: Overview

As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, we present the BIOSCAN-5M Insect dataset to the machine learning community. BIOSCAN-5M is a comprehensive dataset containing multi-modal information for over 5 million insect specimens, and it significantly expands existing image-based biological datasets by including taxonomic labels, raw nucleotide barcode sequences, assigned barcode index numbers, geographical information, and specimen size.

Every record has both image and DNA data. Each record of the BIOSCAN-5M dataset contains six primary attributes:



RGB image

DNA barcode sequence

Barcode Index Number (BIN)

Biological taxonomic classification

Geographical information

Specimen size
description: Additional BIOSCAN-5M dataset-related packages are accessible through the GoogleDrive folder including:



BIOSCAN_5M_original_full: The raw images of the dataset.

BIOSCAN_5M_cropped: Images after cropping with our cropping tool introduced in BIOSCAN-1M.

BIOSCAN_5M_original_256: Original images resized to 256 on their shorter side.
DOI: 10.5281/zenodo.11973457
title: BIOSCAN-5M

description: Overview

As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, we present the BIOSCAN-5M Insect dataset to the machine learning community. BIOSCAN-5M is a comprehensive dataset containing multi-modal information for over 5 million insect specimens, and it significantly expands existing image-based biological datasets by including taxonomic labels, raw nucleotide barcode sequences, assigned barcode index numbers, geographical information, and specimen size.

Every record has both image and DNA data. Each record of the BIOSCAN-5M dataset contains six primary attributes:



RGB image

DNA barcode sequence

Barcode Index Number (BIN)

Biological taxonomic classification

Geographical information

Specimen size
description: Additional BIOSCAN-5M dataset-related packages are accessible through the GoogleDrive folder including:



BIOSCAN_5M_original_full: The raw images of the dataset.

BIOSCAN_5M_cropped: Images after cropping with our cropping tool introduced in BIOSCAN-1M.

BIOSCAN_5M_original_256: Original images resized to 256 on their shorter side.
DOI: 10.15468/dl.4d8qm6
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saccharum officinarum L."
 ]
}

 The dataset includes 1828 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093212-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7c9rb2
title: Occurrence Download

description: A dataset containing 11377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Junco hyemalis hyemalis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11377 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093210-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryt72w
title: Occurrence Download

description: A dataset containing 2967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus scandens Thunb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2967 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093211-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uf6uy
title: Occurrence Download

description: A dataset containing 2593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cotylorhiza tuberculata (Macri, 1778)"
 ]
}

 The dataset includes 2593 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093213-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bq7bqm
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poicephalus cryptoxanthus cryptoxanthus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 184 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093214-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.