cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4382672
title: Global Biotic Interactions: Elton Dataset Cache iNaturalist

description: Global Biotic Interactions: Elton Dataset Cache iNaturalist The intended use of this archive/cache is to allow for offline-enabled access to versions of existing species interaction datasets provided by iNaturalist. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs. To get offline-enabled access to versions of other species interactions datasets, please see Global Biotic Interactions: Elton Dataset Cache at https://doi.org/10.5281/zenodo.2007418 . Contents<br> -------- README:<br> this file elton-datasets.tar.gz:<br> versioned archive with species interaction datasets elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar elton-datasets.tsv:<br> list of included datasets elton.jar:<br> commandline program to help access the species interaction datasets Usage<br> ----- To install, extract elton-datasets.tar.gz into a directory of choice using: tar xfz elton-dataset.tar.gz To use, download elton.jar included this publication and execute the following to get a list of available datasets: java -Xmx4G -jar elton.jar datasets on a system that has java v8+ installed. If all goes well, you should be able to regenerate the included file elton-dataset.tsv . For more information on how to use elton.jar, execute: java -jar elton.jar usage or visit https://github.com/globalbioticinteractions/elton for more available commands. Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory. When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.
DOI: 10.5281/zenodo.5711304
title: Global Biotic Interactions: Elton Dataset Cache iNaturalist

description: Global Biotic Interactions: Elton Dataset Cache iNaturalist The intended use of this archive/cache is to allow for offline-enabled access to versions of existing species interaction datasets provided by iNaturalist. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs. To get offline-enabled access to versions of other species interactions datasets, please see Global Biotic Interactions: Elton Dataset Cache at https://doi.org/10.5281/zenodo.2007418 . Contents<br> -------- README:<br> the first part of this file elton-datasets.tar.gz:<br> versioned archive with species interaction datasets elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar elton-datasets.tsv:<br> list of included datasets elton.jar:<br> commandline program to help access the species interaction datasets Usage<br> ----- To install, extract elton-datasets.tar.gz into a directory of choice using: tar xfz elton-dataset.tar.gz To use, download elton.jar included this publication and execute the following to get a list of available datasets: java -Xmx4G -jar elton.jar datasets on a system that has java v8+ installed. If all goes well, you should be able to regenerate the included file elton-dataset.tsv . For more information on how to use elton.jar, execute: java -jar elton.jar usage or visit https://github.com/globalbioticinteractions/elton for more available commands. Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory. When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data. Included datasets: globalbioticinteractions/inaturalist http://iNaturalist.org is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. https://github.com/globalbioticinteractions/inaturalist/archive/2e35cee43de89f3f93ce2c83f8910fb9af6847cd.zip 2021-11-13T00:13:49.554Z cdb9b5dc4d70d0e21090da731a33f1de085dc49caa3aa90a835f966ba469c8e4 0.12.2
DOI: 10.5281/zenodo.3950546
title: Global Biotic Interactions: Elton Dataset Cache iNaturalist

description: Global Biotic Interactions: Elton Dataset Cache iNaturalist The intended use of this archive/cache is to allow for offline-enabled access to versions of existing species interaction datasets provided by iNaturalist. The program "Elton" (https://doi.org/10.5281/zenodo.998263) was used to populate the content of elton-datasets.tar.gz . The same program can be used to extract information from the cache archive also. Global Biotic Interactions (https://globalbioticinteractions.org, https://doi.org/10.1016/j.ecoinf.2014.08.005) also uses these archives to create derived species interaction data archives, search indexes and APIs. To get offline-enabled access to versions of other species interactions datasets, please see Global Biotic Interactions: Elton Dataset Cache at https://doi.org/10.5281/zenodo.2007418 . Contents<br> -------- README:<br> this file elton-datasets.tar.gz:<br> versioned archive with species interaction datasets elton-datasets.tar.sha256:<br> content signature of elton-datasets.tar elton-datasets.tsv:<br> list of included datasets elton.jar:<br> commandline program to help access the species interaction datasets Usage<br> ----- To install, extract elton-datasets.tar.gz into a directory of choice using: tar xfz elton-dataset.tar.gz To use, download elton.jar included this publication and execute the following to get a list of available datasets: java -Xmx4G -jar elton.jar datasets on a system that has java v8+ installed. If all goes well, you should be able to regenerate the included file elton-dataset.tsv . For more information on how to use elton.jar, execute: java -jar elton.jar usage or visit https://github.com/globalbioticinteractions/elton for more available commands. Alternatively, without using Elton, you can access the data by inspecting the access.tsv files in the various directories of the datasets directory. When using these datasets in a publication or product, please cite the *original* data providers and publications. You can find the citations in the data.
DOI: 10.5281/zenodo.10015695
title: EUPollMap: The European atlas of contemporary pollen distribution maps

description: This atlas is an ensemble of pollen-presence digital maps for Europe including 194 taxa from the Eurasian Modern
Pollen Database (EMPD v2). The pollen presence is estimated using Kriging over a regular 25-km grid and freely shared as multivariate ESRI GeoTIFF file for every taxa together with the related point dataset as ESRI Shapefile.  The GeoTIFF maps contain the probabilistic pollen-presence estimation, a discrete map of the pollen presence, and an uncertainty map derived from the Kriging variance.


This dataset is released with the following publication:
Oriani F., Mariethoz G., Chevalier M., EUPollMap: The European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach, submitted to Earth System Science Data.
DOI: 10.5281/zenodo.7259016
title: EUPollMap: The European atlas of contemporary pollen distribution maps

description: This atlas is an ensemble of pollen-presence digital maps for Europe including 194 taxa from the Eurasian Modern
Pollen Database (EMPD v2). The pollen presence is estimated using Kriging over a regular 25-km grid and freely shared as multivariate ESRI GeoTIFF file for every taxa together with the related point dataset as ESRI Shapefile.  The GeoTIFF maps contain the probabilistic pollen-presence estimation, a discrete map of the pollen presence, and an uncertainty map derived from the Kriging variance.


This dataset is released with the following publication:
Oriani F., Mariethoz G., Chevalier M., EUPollMap: The European atlas of contemporary pollen distribution maps derived from an integrated Kriging interpolation approach, submitted to Earth System Science Data.
DOI: 10.5281/zenodo.8425078
title: Hoving_NatComsBio_FCSfiles_GBS

description: Unmixed spectral flow cytometry FCS files for the Group B Streptococcus (GBS) analysis
DOI: 10.5281/zenodo.8425079
title: Hoving_NatComsBio_FCSfiles_GBS

description: Unmixed spectral flow cytometry FCS files for the Group B Streptococcus (GBS) analysis
DOI: 10.26093/cds/vizier.51650045
title: (H-W2)-W1 vs W2-(BP-K) for 4 open cluster members

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Unresolved Binaries and Multiples in the Intermediate Mass Range in Open Clusters: Pleiades, Alpha Per, Praesepe, and NGC 1039.' (bibcode: 2023AJ....165...45M)
DOI: 10.26093/cds/vizier.51650048
title: Transit times for Kepler-289 b, c and d

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Constraining the Densities of the Three Kepler-289 Planets with Transit Timing Variations.' (bibcode: 2023AJ....165...48G)
DOI: 10.26093/cds/vizier.51650051
title: Stellar properties in SFRs from SDSS APOGEE-2

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Stellar Properties for a Comprehensive Collection of Star-forming Regions in the SDSS APOGEE-2 Survey.' (bibcode: 2023AJ....165...51R)
DOI: 10.26093/cds/vizier.51650072
title: IR water vapor emission from planet-forming disks

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Kinematics and Excitation of Infrared Water Vapor Emission from Planet- forming Disks; Results from Spectrally Resolved Surveys and Guidelines for JWST Spectra.' (bibcode: 2023AJ....165...72B)
DOI: 10.26093/cds/vizier.51660183
title: High-mass YSOs between 350 and 4000pc

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Clustering properties of intermediate and high-mass Young Stellar Objects.' (bibcode: 2023AJ....166..183V)
DOI: 10.5517/ccdc.csd.cc2fppys
title: CCDC 2255186: Experimental Crystal Structure Determination

description: Related Article: Toushique Ahmed, Amit Chakraborty, Animesh Paul, Sujoy Baitalik|2023|Dalton Trans.|52|14027|doi:10.1039/D3DT01701J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fqbdx
title: CCDC 2255789: Experimental Crystal Structure Determination

description: Related Article: Shuai Zhang, Lei Wang, Yilan Wang, Xiaoming Wang, Shi Ye|2023|J.Phys.Chem.Lett.|14|7773|doi:10.1021/acs.jpclett.3c02139
description: Related Article: Shuai Zhang, Lei Wang, Yilan Wang, Xiaoming Wang, Shi Ye|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fqddz
title: CCDC 2255851: Experimental Crystal Structure Determination

description: Related Article: Yoshiaki Shuku, Rie Suizu, Masahisa Tsuchiizu, Kunio Awaga|2023|Chem.Commun.|59|10105|doi:10.1039/D3CC02986G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fsdl7
title: CCDC 2257779: Experimental Crystal Structure Determination

description: Related Article: Sourav Kar, Subhash Bairagi, Jean-François Halet, Sundargopal Ghosh|2023|Chem.Commun.|59|11676|doi:10.1039/D3CC03952H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fzxr3
title: CCDC 2264046: Experimental Crystal Structure Determination

description: Related Article: Rakesh R. Puttreddy, Khai-Nghi Truong, Kari Rissanen, Carsten Bolm|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gk7cn
title: CCDC 2280681: Experimental Crystal Structure Determination

description: Related Article: Rashid G. Siddique, Jacob J. Whittaker, Hydar A. AL-Fayaad, John C. McMurtrie, Jack K. Clegg|2023|Dalton Trans.|52|13487|doi:10.1039/D3DT02486E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gk7dp
title: CCDC 2280682: Experimental Crystal Structure Determination

description: Related Article: Rashid G. Siddique, Jacob J. Whittaker, Hydar A. AL-Fayaad, John C. McMurtrie, Jack K. Clegg|2023|Dalton Trans.|52|13487|doi:10.1039/D3DT02486E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26093/cds/vizier.22650018
title: Opt. spectra of blue MIR objects in LMC

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The nature of blue stars with mid-infrared excesses in the Large Magellanic Cloud.' (bibcode: 2023ApJS..265...18I)
DOI: 10.26093/cds/vizier.22650021
title: The Coronal Line Activity Spectroscopic Survey cat.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'CLASS survey description: coronal-line needles in the SDSS haystack.' (bibcode: 2023ApJS..265...21R)
DOI: 10.3886/e184364v1-142416
title: US Major-League Sports Stadium and Arena Construction Costs (1909-2026)

description: This dataset covers the modern era of concrete and steel sports venues. It includes all venues opened in US and Canada from 1909 to 2026 that served as the main host for teams in the four major US-based professional sports leagues: Major League Baseball (MLB), National Basketball Association (NBA), National Football League (NFL), and National Hockey League (NHL).
description: Sports venues hosting teams in four major US-based professional sports leagues.
DOI: 10.4121/b7a321df-640a-483d-8c32-a18fe21e7204.v2
title: Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: Scenarios & Dialogues

description: The data is the scenarios and dialogues used in the focus groups underlying the paper "Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: An exploratory focus group study" by Pei-Yu Chen, Myrthe Tielman, Dirk Heylen, Catholijn Jonker, and Birna van Riemsdijk. The goal of this paper is to explore what potential users like or dislike about certain aspects of the dialogues and identify dimensions that are important for designing good alignment dialogues.<br><strong>Study</strong>We performed an exploratory focus group user study, in which we showed participants six scenarios with different variants of how we envision such alignment dialogues might look like. The scenarios and dialogues are in textual form. After they finished reading, we asked them to discuss and compare the dialogues, and then we moved on to the next scenario and discussion. The process continued until all six scenarios were discussed. For the structure of the discussion, we prepared the following questions to guide the participants:Which version of the dialogue do you prefer, or which part of which dialogue do you prefer? Why?Is there a certain part of the dialogue that you particularly like/not like? Why? How would you want to do it instead?Which dialogue is more ‘intelligent’, as in has more capability in providing support?Do you feel one dialogue is more supportive than the other?After which dialogue do you think the agent would be more ‘on the same page’ as you?<br><strong>Data & analysis</strong>We transcribed the focus group sessions and analyzed the transcriptions using inductive thematic analysis with the addition of triangulation with literature.
DOI: 10.4121/b7a321df-640a-483d-8c32-a18fe21e7204.v3
title: Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: Scenarios & Dialogues

description: The data is the scenarios and dialogues used in the focus groups underlying the paper "Acquiring Semantic Knowledge for User Model Updates via Human-Agent Alignment Dialogues: An exploratory focus group study" by Pei-Yu Chen, Myrthe Tielman, Dirk Heylen, Catholijn Jonker, and Birna van Riemsdijk. The goal of this paper is to explore what potential users like or dislike about certain aspects of the dialogues and identify dimensions that are important for designing good alignment dialogues.<br><strong>Study</strong>We performed an exploratory focus group user study, in which we showed participants six scenarios with different variants of how we envision such alignment dialogues might look like. The scenarios and dialogues are in textual form. After they finished reading, we asked them to discuss and compare the dialogues, and then we moved on to the next scenario and discussion. The process continued until all six scenarios were discussed. For the structure of the discussion, we prepared the following questions to guide the participants:Which version of the dialogue do you prefer, or which part of which dialogue do you prefer? Why?Is there a certain part of the dialogue that you particularly like/not like? Why? How would you want to do it instead?Which dialogue is more ‘intelligent’, as in has more capability in providing support?Do you feel one dialogue is more supportive than the other?After which dialogue do you think the agent would be more ‘on the same page’ as you?<br><strong>Data & analysis</strong>We transcribed the focus group sessions and analyzed the transcriptions using inductive thematic analysis with the addition of triangulation with literature.
DOI: 10.6084/m9.figshare.24265726.v2
title: The strain on scientific publishing (scripts and data)

description: Datasets and scripts for manuscript "The strain on scientific publishing."
DOI: 10.26188/23206445
title: Wearable Seizure Forecasting Pilot

description: Mobile app and wearable smartwatch data<br>If you use this data please cite:Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, Ewan S. Nurse, Tatiana Kameneva, Mark J. Cook, Pedro F. Viana, Mark P. Richardson, Benjamin H. Brinkmann, Dean R. Freestone & Philippa J. Karoly "Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study" (2023) https://doi.org/10.1016/j.ebiom.2023.104656
DOI: 10.26188/23206445.v2
title: Wearable Seizure Forecasting Pilot

description: Mobile app and wearable smartwatch data <br> If you use this data please cite: Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, Ewan S. Nurse, Tatiana Kameneva, Mark J. Cook, Pedro F. Viana, Mark P. Richardson, Benjamin H. Brinkmann, Dean R. Freestone & Philippa J. Karoly "Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study" (2023)
DOI: 10.6084/m9.figshare.24328828
title: Forward Modeling Dataset, protocol files, and forward modeling code (ResIPy)

description: The files are final forward model simulations for four geophysical array configurations.Protocol files for each of the geophysical array and the forward model code (ResIPy) is included.
DOI: 10.6073/pasta/77e0d6d6962d1462d73384ab2dee5dad
title: Data for Phenotypically plastic responses to freshwater salinization in larval amphibians: Induced tolerance and induced sensitivity

description: These data support a paper published by Relyea et al. in 2023 in the journal Environmental Pollution. In this manuscript titled 'Phenotypically plastic responses to freshwater salinization in larval amphibians: induced tolerance and induced sensitivity' the authors use a lab experiment to examine the effects of low levels of exposure to road salt pollution on amphibian responses to higher subsequent doses of the contaminant.
DOI: 10.15482/usda.adc/1529803
title: Data from: Heritable differences in abundance of bacterial rhizosphere taxa are correlated with fungal necrotrophic pathogen resistance

description: This Ag Data Commons submission includes the 94 sunflower paired-end sequencing FASTQ files, the corresponding 16S bacterial FASTQ files, and other relevant data to the study described below:
Host-microbe interactions are increasingly recognized as important drivers of organismal health, growth, longevity, and community-scale ecological processes. However, less is known about how genetic variation affects hosts' associated microbiomes and downstream phenotypes. We demonstrate that sunflower Helianthus annuus harbors substantial, heritable variation in microbial communities under field conditions. We show that microbial communities co-vary with heritable variation in resistance to root infection caused by the necrotrophic pathogen Sclerotinia sclerotiorum, and that plants grown in autoclaved soil showed almost complete elimination of pathogen resistance. Association mapping suggests at least 59 genetic locations with effects on both microbial relative abundance and Sclerotinia resistance. Although the genetic architecture appears quantitative, we have elucidated previously unexplained genetic variation for resistance to this pathogen. We identify new targets for plant breeding and demonstrate the potential for heritable microbial associations to play important roles in defense in natural and human-altered environments.
See README for details of each table in the spreadsheet and related information.