cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14593703
title: Semi-Synthetic E. coli abundance estimation benchmark

description: This is the semi-synthetic benchmark used in the ChronoStrain paper, due for publication in Nature Microbiology 2025.



reads.tar.zst (compressed using zst) - the read dataset, meaning synthetic reads + background reads. Note: this large file (12G) was split into 500M chunks using the linux "split" utility. To re-join them, use the command "cat reads.tar.zst.part* > reads.tar.zst"]

phylogroups.txt - the phylogroup annotation of the reference E.coli genomes.

*.tar.gz - database files for each respective method. The only database archive missing is the large 640k pan-genome themisto v3 index, which is compiled by different authors. Go here to obtain that index: https://zenodo.org/records/7736981
DOI: 10.5281/zenodo.14593704
title: Semi-Synthetic E. coli abundance estimation benchmark

description: This is the semi-synthetic benchmark used in the ChronoStrain paper, due for publication in Nature Microbiology 2025.



reads.tar.zst (compressed using zst) - the read dataset, meaning synthetic reads + background reads. Note: this large file (12G) was split into 500M chunks using the linux "split" utility. To re-join them, use the command "cat reads.tar.zst.part* > reads.tar.zst"]

phylogroups.txt - the phylogroup annotation of the reference E.coli genomes.

*.tar.gz - database files for each respective method. The only database archive missing is the large 640k pan-genome themisto v3 index, which is compiled by different authors. Go here to obtain that index: https://zenodo.org/records/7736981
DOI: 10.25505/fiz.icsd.cc2mcnzn
title: CSD 2424292: Experimental Crystal Structure Determination

description: Related Article: Qiao Gao, Xue-Rui Dong, Zhe Lin, Lin Xu|2025|J.Mol.Struct.|1340|142503|doi:10.1016/j.molstruc.2025.142503
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.15319639
title: Data and analysis for "Entanglement-based quantum key distribution with non-Gaussian continuous variables"

description: Data and analysis files for the paper "Entanglement-based quantum key distribution with non-Gaussian continuous variables".
DOI: 10.5281/zenodo.15319640
title: Data and analysis for "Entanglement-based quantum key distribution with non-Gaussian continuous variables"

description: Data and analysis files for the paper "Entanglement-based quantum key distribution with non-Gaussian continuous variables".
DOI: 10.5281/zenodo.15116882
title: DayCent Model Uncertainty Data for "Managing for climate and production goals on crop-lands"

description: The files in this repository are the DayCent model uncertainty data associated with the publication "Managing for climate and production goals on crop-lands." 

Scenarios



ccg-res:    grass cover crop with tillage

ccg-ntill:  grass cover crop, no-tillage

ccl-res:    legume cover crop with tillage

ccl-ntill:  legume cover crop, no-tillage

conv:       continued management


Reference

McClelland et al. (2025). Managing for climate and production goals on croplands. Nature Climate Change. DOI: 10.1038/s41558-025-02337-7
DOI: 10.5281/zenodo.15116883
title: DayCent Model Uncertainty Data for "Managing for climate and production goals on crop-lands"

description: The files in this repository are the DayCent model uncertainty data associated with the publication "Managing for climate and production goals on crop-lands." 

Scenarios



ccg-res:    grass cover crop with tillage

ccg-ntill:  grass cover crop, no-tillage

ccl-res:    legume cover crop with tillage

ccl-ntill:  legume cover crop, no-tillage

conv:       continued management


Reference

McClelland et al. (2025). Managing for climate and production goals on croplands. Nature Climate Change. DOI: 10.1038/s41558-025-02337-7
DOI: 10.5281/zenodo.14548072
title: MS GWAS summary statistics version 4
DOI: 10.7910/dvn/14wgug
title: Replication Data for: This Was Twitter: Introducing the Twitter History and Image Sharing v1.0 Datasets

description: Paper DOI: 10.51685/jqd.2025.011
Paper abstract: This paper introduces the Twitter History and Image Sharing (THIS) datasets. These four related datasets enable the study of Twitter \emph{without the release of tweets or user information}. Both are derived from a corpus of 14.596 billion geolocated tweets streamed from September 1, 2013 through March 14, 2023. Two Twitter History datasets provide data on the number of tweets, tweets by language, and user data by country from September 1, 2013 through March 14, 2023. A third Twitter History dataset provides data on the number of new user registrations by country from March 21, 2006, the start of Twitter, through March 14, 2023. Image Sharing is based on the 1.676 billion images shared during this period and the 956.049 million still available for download in early 2024. It provides data on the number of images shared and still available from September 1, 2013 through March 14, 2023. The THIS datasets enable the study of Twitter itself and its differential use across countries, including in response to specific events, and the paper demonstrates applications to correlates of image sharing and removal, behavior around national executive elections, event detection, and digital repression. While this paper is not the first to study Twitter, it is, as far as we are aware, the first to provide datasets enabling other researchers to do the same.
DOI: 10.6084/m9.figshare.28915079
title: BVST test data

description: BVST Test Data
DOI: 10.34740/kaggle/dsv/11641331
title: HisDocBin-Patches_500-per-image
DOI: 10.5281/zenodo.15319666
title: Refinement of molecular model refinement in EMAN2

description: Automated refinement of PDB models that capture the continuous movement of the macromolecule complex from CryoEM datasets. The zip file includes refinement of 25 static models, as well as continuous movement of TRPV1 and Spliceosome.
DOI: 10.5281/zenodo.15319667
title: Refinement of molecular model refinement in EMAN2

description: Automated refinement of PDB models that capture the continuous movement of the macromolecule complex from CryoEM datasets. The zip file includes refinement of 25 static models, as well as continuous movement of TRPV1 and Spliceosome.
DOI: 10.34943/7d387b5f-c90a-423c-92dc-6ba82b0bfa18
title: Upper Slope South Accelerometer Deployed 2022-08-06

description: The Nanometrics TitanEA (S/N 000145) was deployed on 2022-08-06 at Upper Slope South. Upper Slope South is a location within Barkley Canyon, which is located on the upper continental slope. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/e234bf4e-93f1-41ea-8930-97dd1e65badd
title: Barkley Canyon Mid-East Accelerometer Deployed 2024-06-13

description: The Nanometrics TitanEA (S/N 000646) was deployed on 2024-06-13 at Barkley Canyon Mid-East. Barkley Canyon Mid-East is a location in Barkley Canyon near a canyon wall. At this location, benthic processes, biodiversity, and sediment dynamics are observed. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/6819b2da-6deb-4ce7-8e0f-f01410269262
title: Bullseye Accelerometer Deployed 2017-06-08

description: The Nanometrics TitanEA (S/N 000647) was deployed on 2017-06-08 at Bullseye. Bullseye is a location at Clayoquot Slope, where gas hydrates, seafloor cold seeps, and hydrate dynamics are observed. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/075d6e77-49ca-4960-bae9-642c8d284f57
title: ODP 1364A Accelerometer Deployed 2018-07-30

description: The Nanometrics TitanEA (S/N 000787) was deployed on 2018-07-30 at ODP 1364A. ODP 1364A is a location at Clayoquot Slope. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/6017cbf2-b845-4fc2-9db6-935971756717
title: ODP 1027C Accelerometer Deployed 2018-07-23

description: The Nanometrics TitanEA (S/N 000788) was deployed on 2018-07-23 at ODP 1027C. ODP 1027C is a borehole site used to pinpoint an area within Cascadia Basin. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4b2dd2f9-4406-4daf-be12-6a3c2c5c324c
title: Port Alberni Accelerometer Deployed 2017-01-12

description: The Nanometrics TitanEA (S/N 000131) was deployed on 2017-01-12 at Port Alberni. Port Alberni is a city located on Vancouver Island. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5063/f1513wp6
title: Water quality data and habitat suitability modeling results for Dreissenid mussels in Alaskan lakes

description: This data package provides in situ and modeled water quality information for Alaskan lakes. We compiled published and unpublished water quality data and supplemented these records with new data collection with numerous partners. The purpose of this dataset was to support a study of habitat suitability for invasive Dreissenid mussels, as the spread of Zebra and Quagga mussels (ZQM) to Alaska would disrupt freshwater ecosystems and important salmon fisheries. ZQM establishment is limited by dissolved calcium (Ca 2+). From this assembled dataset, we predicted Ca2+ concentrations and associated Dreissenid habitat suitability across Alaskan lakes using a randomForest model. Tabular and geospatial formats of water quality data and modeling results are provided along with the processing scripts.
DOI: 10.5281/zenodo.15319599
title: Definições e terminologias das crianças e adolescentes com necessidades especiais de saúde: Revisão de escopo

description: Quadros com estratégias de busca, a descrição de estudos e análises e registros bibliográficos utilizados para o manuscrito: "Definições e terminologias das crianças e adolescentes com necessidades especiais de saúde: revisão de escopo".

Quadro 1 - Estratégias de busca em bases de dados, 2023

Quadro 2 - Caracterização dos artigos selecionados de acordo com título, base dados, autores, ano e país relacionadas às CRIANES

Quadro 3 - Definições de termos relacionados às CRIANES em países da OCDE e Brasil
DOI: 10.5281/zenodo.15319600
title: Definições e terminologias das crianças e adolescentes com necessidades especiais de saúde: Revisão de escopo

description: Quadros com estratégias de busca, a descrição de estudos e análises e registros bibliográficos utilizados para o manuscrito: "Definições e terminologias das crianças e adolescentes com necessidades especiais de saúde: revisão de escopo".

Quadro 1 - Estratégias de busca em bases de dados, 2023

Quadro 2 - Caracterização dos artigos selecionados de acordo com título, base dados, autores, ano e país relacionadas às CRIANES

Quadro 3 - Definições de termos relacionados às CRIANES em países da OCDE e Brasil
DOI: 10.6084/m9.figshare.28915130
title: Codes

description: This repository contains the custom Python scripts and processing code used for the analysis and generation of results in the study: “Drought risks are projected to increase in the future in central and southern regions of the Middle East.”
DOI: 10.5281/zenodo.15314196
title: Model Fit Results for 'A Survey of Model Fits Through the L/T Sequence'

description: In this repository, we present the forward model fit results described in "A Survey of Model Fits Through the L/T Sequence" (manuscript AAS57769R1).

We include three folders of fit results: one for the fits to Cholla (Karalidi et al., 2023; Mukherjee et al., 2023) models only, another for the fits to Phoenix (Brock et al., 2021) models only, and the third for the fits to a composite Sonora model folder containing Bobcat (Marley et al., 2021), Diamondback (Morley et al., 2024), and Cholla models. Note that our code fits each object to (1) the input folder of theoretical models and (2) a folder of real archival SpeX data, which we refer to as "real" models. The "real" model fit results are included along with the theoretical model results.

Each folder contains a directory for each of the 305 brown dwarfs included in our sample. The directories are named with four-digit codes. The included file "Object_Code Key.csv" can be used to match the object code to the full object name.

The fit result files include:



#### RM Single Best Fit.png- A plot of the spectrum of the best-fit "real" model on top of the spectrum of the object

#### SM Single Best Fit.ong- A plot of the spectrum of the best-fit theoretical model on top of the spectrum of the object

####BestRMSingleFit.txt- The best-fit "real" model spectrum file

####BestSMSingleFit.txt- The best-fit theoretical model spectrum file

####unnormalized.txt- Flux-calibrated spectrum of the target object

AllSMSFresults.csv- A full printout of the theoretical model fit results for the object

RMSFresults.csv- A full printout of the "real" model fit results for the object

SMSFtop200.csv- A printout of the theoretical model fit results, best-fit parameters printed to their own columns, only showing the top 200 models

SMSFtop200HeatMap.png- The heat maps show the distribution of G_K versus pairs of model parameters for the top 200 fits to the object
DOI: 10.5281/zenodo.15314197
title: Model Fit Results for 'A Survey of Model Fits Through the L/T Sequence'

description: In this repository, we present the forward model fit results described in "A Survey of Model Fits Through the L/T Sequence" (manuscript AAS57769R1).

We include three folders of fit results: one for the fits to Cholla (Karalidi et al., 2023; Mukherjee et al., 2023) models only, another for the fits to Phoenix (Brock et al., 2021) models only, and the third for the fits to a composite Sonora model folder containing Bobcat (Marley et al., 2021), Diamondback (Morley et al., 2024), and Cholla models. Note that our code fits each object to (1) the input folder of theoretical models and (2) a folder of real archival SpeX data, which we refer to as "real" models. The "real" model fit results are included along with the theoretical model results.

Each folder contains a directory for each of the 305 brown dwarfs included in our sample. The directories are named with four-digit codes. The included file "Object_Code Key.csv" can be used to match the object code to the full object name.

The fit result files include:



#### RM Single Best Fit.png- A plot of the spectrum of the best-fit "real" model on top of the spectrum of the object

#### SM Single Best Fit.ong- A plot of the spectrum of the best-fit theoretical model on top of the spectrum of the object

####BestRMSingleFit.txt- The best-fit "real" model spectrum file

####BestSMSingleFit.txt- The best-fit theoretical model spectrum file

####unnormalized.txt- Flux-calibrated spectrum of the target object

AllSMSFresults.csv- A full printout of the theoretical model fit results for the object

RMSFresults.csv- A full printout of the "real" model fit results for the object

SMSFtop200.csv- A printout of the theoretical model fit results, best-fit parameters printed to their own columns, only showing the top 200 models

SMSFtop200HeatMap.png- The heat maps show the distribution of G_K versus pairs of model parameters for the top 200 fits to the object
DOI: 10.34740/kaggle/dsv/11641367
title: Earthquakes in Indonesia
DOI: 10.15468/dl.9knhb7
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Farsetia undulicarpa"
 ]
}

 The dataset includes 44 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020444-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aj5cvf
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus halepensis",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020443-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85ya79
title: Occurrence Download

description: A dataset containing 34594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.35105 26.71636,-113.24786 26.6417,-113.15306 26.62228,-113.04404 26.53724,-113.00327 26.62641,-113.10773 26.74871,-113.0745 26.9923,-113.23002 27.06718,-113.35105 26.71636))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 34594 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020445-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzdryn
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020446-250711103210423/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.29310986
title: Dataset1: MultiView57

description: MultiView57 is a large-scale multi-view point cloud dataset designed for point-cloud completion research. The uploaded README.md contains more detailed description and download instructions.
DOI: 10.6084/m9.figshare.29310986.v1
title: Dataset1: MultiView57

description: MultiView57 is a large-scale multi-view point cloud dataset designed for point-cloud completion research. The uploaded README.md contains more detailed description and download instructions.
DOI: 10.15468/dl.uebn5p
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020450-250711103210423/datasets/export for details.
DOI: 10.15468/dl.4vmxxr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020447-250711103210423/datasets/export for details.
DOI: 10.15468/dl.zshjty
title: Occurrence Download

description: A dataset containing 17536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17536 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020449-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdx5uz
title: Occurrence Download

description: A dataset containing 26476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medeola virginiana"
 ]
}

 The dataset includes 26476 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020448-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vemmy9
title: Occurrence Download

description: A dataset containing 2635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus halepensis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2635 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020451-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzdhnv
title: Occurrence Download

description: A dataset containing 2958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phleum alpinum alpinum, Phleum alpinum ambiguum, Phleum alpinum americanum, Phleum alpinum bracteolatum, Phleum alpinum commutatum, Phleum alpinum commutatum, Phleum alpinum commutatum, Phleum alpinum commutatum, Phleum alpinum parviceps, Phleum alpinum rhaeticum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2958 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020452-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.