cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7033068
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033067
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033075
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033074
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.6084/m9.figshare.20721454
title: Information as a Tool of Russian Security Policy_R

description: RIA Novosti reports on Latvia,Poland, and Serbia (2014-2021)
DOI: 10.6084/m9.figshare.20721454.v1
title: Information as a Tool of Russian Security Policy_R

description: RIA Novosti reports on Latvia,Poland, and Serbia (2014-2021)
DOI: 10.5519/qd.ybb3uetx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (99 records)
DOI: 10.5281/zenodo.7033079
title: test shoreline

description: Test shoreline file us_county416_ref_shoreline.geojson
DOI: 10.5281/zenodo.7033078
title: test shoreline

description: Test shoreline file us_county416_ref_shoreline.geojson
DOI: 10.5519/qd.tmngu6b5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (99 records)
DOI: 10.6084/m9.figshare.20715280.v1
title: Molecular Ecology - Additional datasets

description: This is an additional dataset for the paper entitled: " <strong>Sunspot activity influences tree growth: molecular evidence and ecological implications </strong>" <br> <br>
DOI: 10.6084/m9.figshare.16575308
title: R script and data from article: Amphibian communities amid sugarcane-dominated agroecosystems

description: R script and data to perform all the analyses of the manuscript.
DOI: 10.6084/m9.figshare.16575308.v3
title: R script and data from article: Amphibian communities amid sugarcane-dominated agroecosystems

description: R script and data to perform all the analyses of the manuscript.
DOI: 10.5281/zenodo.7033105
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033104
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.6084/m9.figshare.19726603
title: GLITCH: Replication Package with Code and Datasets (ASE 2022)

description: Replication package with code and datasets accompanying the ASE 2022 paper: "GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code" by Nuno Saavedra and João F. Ferreira. <br> Instructions can be found here: https://github.com/sr-lab/GLITCH-ASE22-Replication-Package/blob/ase22-submission/INSTALL.md <br> There is also an archived version of the instructions here: https://zenodo.org/record/6972618
DOI: 10.6084/m9.figshare.19726603.v1
title: GLITCH: Replication Package with Code and Datasets (ASE 2022)

description: Replication package with code and datasets accompanying the ASE 2022 paper: "GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code" by Nuno Saavedra and João F. Ferreira. <br> Instructions can be found here: https://github.com/sr-lab/GLITCH-ASE22-Replication-Package/blob/ase22-submission/INSTALL.md <br> There is also an archived version of the instructions here: https://zenodo.org/record/6972618
DOI: 10.5281/zenodo.7033111
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033110
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033121
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033120
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033128
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033127
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033136
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033135
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033139
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033138
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033144
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.5281/zenodo.7033143
title: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022

description: Zenodo Upload for DataFed record:YG044_Yichen_Guo_07172022
DOI: 10.6084/m9.figshare.20721685
title: EGF1_17nov20.h5

description: Live-cell imaging of MCF10A cells (48 hours, 30 minutes between frames) responding to EGF ligand perturbation.
DOI: 10.17909/fqaq-p393
title: GLASS-JWST-ERS-NIRISS-PARALLELS
DOI: 10.18434/mds2-2669
title: Rydberg state engineering: A comparison of tuning schemes for continuous frequency sensing
DOI: 10.17909/s6nb-x394
title: GLASS-JWST-ERS NIRISS
DOI: 10.6084/m9.figshare.20627823
title: Effect of visual imagery in Covid-19 social media posts on users’ perception

description: collected data for the effect of visual imagery in Covid-19 social media posts on users’ perception- PS1, PS2 and PS3
DOI: 10.6084/m9.figshare.20627823.v1
title: Effect of visual imagery in Covid-19 social media posts on users’ perception

description: collected data for the effect of visual imagery in Covid-19 social media posts on users’ perception- PS1, PS2 and PS3
DOI: 10.5281/zenodo.6964423
title: Elk hair trace minerals and treponeme-associated hoof disease surveillance metadata in the US Pacific Northwest

description: This is the publicly accessible dataset reporting concentrations of thirteen analyzed minerals from hair using inductively coupled plasma mass spectrometry and relevant metadata from treponeme-associated hoof disease in Pacific Northwest elk. The data presented here were analyzed for the manuscript entitled "Associations between hair trace mineral concentrations and the occurrence of treponeme-associated hoof disease in elk (<em>Cervus canadensis</em>)." Please note that reported mineral concentrations are in their adjusted values and raw forms represented by the column name having ".Raw", (e.g., "Selenium" versus "Selenium.Raw"). Elk ecotype is represented by a four letter abbreviation for either Roosevelt (ROOS) or Rocky Mountain (ROMO). Unknown values for some variables (e.g., age class, county) are denoted with a "U."
DOI: 10.25574/47047
title: Chandra X-ray Observatory ObsId 47047
DOI: 10.25574/47051
title: Chandra X-ray Observatory ObsId 47051
DOI: 10.25574/47052
title: Chandra X-ray Observatory ObsId 47052
DOI: 10.25574/47058
title: Chandra X-ray Observatory ObsId 47058
DOI: 10.25574/47062
title: Chandra X-ray Observatory ObsId 47062
DOI: 10.25574/47068
title: Chandra X-ray Observatory ObsId 47068
DOI: 10.25574/47070
title: Chandra X-ray Observatory ObsId 47070
DOI: 10.25574/47074
title: Chandra X-ray Observatory ObsId 47074
DOI: 10.25574/47082
title: Chandra X-ray Observatory ObsId 47082
DOI: 10.25574/47088
title: Chandra X-ray Observatory ObsId 47088
DOI: 10.25574/47092
title: Chandra X-ray Observatory ObsId 47092
DOI: 10.25574/47098
title: Chandra X-ray Observatory ObsId 47098
DOI: 10.25574/47102
title: Chandra X-ray Observatory ObsId 47102
DOI: 10.25574/47104
title: Chandra X-ray Observatory ObsId 47104
DOI: 10.25574/47106
title: Chandra X-ray Observatory ObsId 47106
DOI: 10.25574/47107
title: Chandra X-ray Observatory ObsId 47107
DOI: 10.25574/47110
title: Chandra X-ray Observatory ObsId 47110
DOI: 10.25574/47111
title: Chandra X-ray Observatory ObsId 47111
DOI: 10.25574/47117
title: Chandra X-ray Observatory ObsId 47117
DOI: 10.25574/47121
title: Chandra X-ray Observatory ObsId 47121
DOI: 10.25574/47124
title: Chandra X-ray Observatory ObsId 47124
DOI: 10.25574/47126
title: Chandra X-ray Observatory ObsId 47126
DOI: 10.25574/47131
title: Chandra X-ray Observatory ObsId 47131
DOI: 10.25574/47135
title: Chandra X-ray Observatory ObsId 47135
DOI: 10.25574/47141
title: Chandra X-ray Observatory ObsId 47141
DOI: 10.25574/47143
title: Chandra X-ray Observatory ObsId 47143
DOI: 10.25574/47150
title: Chandra X-ray Observatory ObsId 47150
DOI: 10.6084/m9.figshare.20721646.v1
title: accipiter_gentilis_decontaminated_gx.fasta.gz

description: .......
DOI: 10.25574/47151
title: Chandra X-ray Observatory ObsId 47151
DOI: 10.6084/m9.figshare.20721646
title: accipiter_gentilis_decontaminated_gx.fasta.gz

description: .......
DOI: 10.25574/47156
title: Chandra X-ray Observatory ObsId 47156
DOI: 10.25574/47158
title: Chandra X-ray Observatory ObsId 47158
DOI: 10.25574/47163
title: Chandra X-ray Observatory ObsId 47163
DOI: 10.25574/47168
title: Chandra X-ray Observatory ObsId 47168
DOI: 10.25574/47173
title: Chandra X-ray Observatory ObsId 47173
DOI: 10.25574/47174
title: Chandra X-ray Observatory ObsId 47174
DOI: 10.25574/47181
title: Chandra X-ray Observatory ObsId 47181
DOI: 10.25574/47195
title: Chandra X-ray Observatory ObsId 47195
DOI: 10.25574/47197
title: Chandra X-ray Observatory ObsId 47197
DOI: 10.25574/47202
title: Chandra X-ray Observatory ObsId 47202
DOI: 10.25574/47204
title: Chandra X-ray Observatory ObsId 47204
DOI: 10.25574/47209
title: Chandra X-ray Observatory ObsId 47209
DOI: 10.25574/47211
title: Chandra X-ray Observatory ObsId 47211
DOI: 10.25574/47214
title: Chandra X-ray Observatory ObsId 47214
DOI: 10.25574/47215
title: Chandra X-ray Observatory ObsId 47215
DOI: 10.25574/47217
title: Chandra X-ray Observatory ObsId 47217
DOI: 10.25574/47218
title: Chandra X-ray Observatory ObsId 47218
DOI: 10.25574/47221
title: Chandra X-ray Observatory ObsId 47221
DOI: 10.25574/47222
title: Chandra X-ray Observatory ObsId 47222
DOI: 10.25574/47226
title: Chandra X-ray Observatory ObsId 47226
DOI: 10.25574/47227
title: Chandra X-ray Observatory ObsId 47227
DOI: 10.25574/47231
title: Chandra X-ray Observatory ObsId 47231
DOI: 10.25574/47233
title: Chandra X-ray Observatory ObsId 47233
DOI: 10.25574/47238
title: Chandra X-ray Observatory ObsId 47238
DOI: 10.25574/47242
title: Chandra X-ray Observatory ObsId 47242
DOI: 10.25574/47249
title: Chandra X-ray Observatory ObsId 47249
DOI: 10.34740/kaggle/dsv/4136596
title: Bellabeat Capstone Study
DOI: 10.17608/k6.auckland.20722066
title: Thematic Analysis.nvpx

description: This is a dataset of Australian and Canadian news articles and letters to the editor on the 2008 prime ministerial apologies to Indigenous Peoples for the Stolen Generations and the Residential Schools.
DOI: 10.17608/k6.auckland.20722066.v1
title: Thematic Analysis.nvpx

description: This is a dataset of Australian and Canadian news articles and letters to the editor on the 2008 prime ministerial apologies to Indigenous Peoples for the Stolen Generations and the Residential Schools.
DOI: 10.6084/m9.figshare.20715001
title: Customer-oriented multi-objective optimization on a novel collaborative multi-heterogeneous-depot electric vehicle routing problem with mixed time windows

description: Through combination of four types of customer size, three types of depot quantity and three types of battery swapping station quantity, 36 benchmark instances were generated. Similar to the traditional benchmark instances, one depot was randomly generated near position (50, 50) in a 100 × 100 grid, and the other depots were randomly generated near positions (25, 50), (75, 50), (50, 75) or (50, 25). Five types of products were generated that can be stored in multiple heterogeneous depots. Three of the five types of products were selected randomly and stored in each depot. The sizes of customers were set as 40, 80, 120 or 160 in these instances and the locations of customers were randomly scattered. The numbers of depots were set as 3, 4, or 5. The demand type for each customer was randomly selected from one of the five product types, and the demand quantity was randomly selected from 5, 10 or 15. The time window types were randomly selected from the hard or soft time window. The numbers of battery swapping stations were set as 2, 4 or 6. The locations of the battery swapping stations were randomly generated near the positions (25, 25), (75, 75), (25, 75) or (75, 25). Each instance is named in the form of “number of customers_number of depots_number of battery swapping stations”. For example, the instance “40_4_6” implies that it involves 40 customers, 4 depots and 6 battery swapping stations.
DOI: 10.6084/m9.figshare.20715001.v2
title: Customer-oriented multi-objective optimization on a novel collaborative multi-heterogeneous-depot electric vehicle routing problem with mixed time windows

description: Through combination of four types of customer size, three types of depot quantity and three types of battery swapping station quantity, 36 benchmark instances were generated. Similar to the traditional benchmark instances, one depot was randomly generated near position (50, 50) in a 100 × 100 grid, and the other depots were randomly generated near positions (25, 50), (75, 50), (50, 75) or (50, 25). Five types of products were generated that can be stored in multiple heterogeneous depots. Three of the five types of products were selected randomly and stored in each depot. The sizes of customers were set as 40, 80, 120 or 160 in these instances and the locations of customers were randomly scattered. The numbers of depots were set as 3, 4, or 5. The demand type for each customer was randomly selected from one of the five product types, and the demand quantity was randomly selected from 5, 10 or 15. The time window types were randomly selected from the hard or soft time window. The numbers of battery swapping stations were set as 2, 4 or 6. The locations of the battery swapping stations were randomly generated near the positions (25, 25), (75, 75), (25, 75) or (75, 25). Each instance is named in the form of “number of customers_number of depots_number of battery swapping stations”. For example, the instance “40_4_6” implies that it involves 40 customers, 4 depots and 6 battery swapping stations.
DOI: 10.6084/m9.figshare.20715001.v1
title: Customer-oriented multi-objective optimization on a novel collaborative multi-heterogeneous-depot electric vehicle routing problem with mixed time windows

description: Through combination of four types of customer size, three types of depot quantity and three types of battery swapping station quantity, 36 benchmark instances were generated. Similar to the traditional benchmark instances, one depot was randomly generated near position (50, 50) in a 100 × 100 grid, and the other depots were randomly generated near positions (25, 50), (75, 50), (50, 75) or (50, 25). Five types of products were generated that can be stored in multiple heterogeneous depots. Three of the five types of products were selected randomly and stored in each depot. The sizes of customers were set as 40, 80, 120 or 160 in these instances and the locations of customers were randomly scattered. The numbers of depots were set as 3, 4, or 5. The demand type for each customer was randomly selected from one of the five product types, and the demand quantity was randomly selected from 5, 10 or 15. The time window types were randomly selected from the hard or soft time window. The numbers of battery swapping stations were set as 2, 4 or 6. The locations of the battery swapping stations were randomly generated near the positions (25, 25), (75, 75), (25, 75) or (75, 25). Each instance is named in the form of “number of customers_number of depots_number of battery swapping stations”. For example, the instance “40_4_6” implies that it involves 40 customers, 4 depots and 6 battery swapping stations.
DOI: 10.6084/m9.figshare.20721991
title: accipiter_soloensis_decontaminated_gx.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20721991.v1
title: accipiter_soloensis_decontaminated_gx.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20607765.v1
title: Wolbachia_2000

description: Biological dynamics of wMel-infected Ae.aegypti in response to historical average temperatures for Cairns, Australia.
DOI: 10.6084/m9.figshare.20716117.v1
title: Wolbachia_2030

description: Biological dynamics of wMel-infected Ae.aegypti in response to 2030 projected future average temperatures for Cairns, Australia.
DOI: 10.6084/m9.figshare.20719234.v1
title: Wolbachia_2050

description: Biological dynamics of wMel-infected Ae.aegypti in response to 2050 projected future average temperatures for Cairns, Australia.
DOI: 10.6084/m9.figshare.20720056
title: Wolbachia_35shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 35°C.
DOI: 10.6084/m9.figshare.20720056.v1
title: Wolbachia_35shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 35°C.
DOI: 10.6084/m9.figshare.20720305
title: Wolbachia_33shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 33°C.
DOI: 10.6084/m9.figshare.20720305.v1
title: Wolbachia_33shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 33°C.
DOI: 10.6084/m9.figshare.20720506.v1
title: Wolbachia_31shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 31.5°C.
DOI: 10.6084/m9.figshare.20720506
title: Wolbachia_31shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia assuming a threshold of 31.5°C.
DOI: 10.6084/m9.figshare.20721928.v1
title: Wolbachia_2030shocks

description: Biological dynamics of wMel-infected Ae.aegypti in response to future heat shocks for Cairns, Australia for 2030 scenarios.
DOI: 10.26131/irsa544
title: Gaia Source Catalogue DR3

description: The source catalogue for the third Gaia data release (Gaia DR3) contains astrometry and broad-band photometry for sources from Gaia eDR3 with expanded attributes on radial velocity as well as median broadening velocity, mean spectrum and median magnitude. More details on other columns added in can be found via Gaia documentation. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.25400/lincolnuninz.20469327
title: Argentine stem weevil behavioural responses to different parasitoids

description: Importation biological control can create novel host-natural enemy associations that exhibit responses different from evolved behaviours in their native range. This possibility was investigated in New Zealand based on the South American pasture pest, the Argentine stem weevil (<em>Listronotus bonariensis</em>) in the presence of three endoparasitoid species with different levels of affinity to the weevil. The first parasitoid was <em>Microctonus hyperodae</em> which has a close coevolutionary history with <em>L. bonariensis</em>. The second, was <em>M.</em> <em>aethiopoides</em> (Irish strain), which has bionomic and ecological overlaps with <em>M. hyperodae</em> and is an effective control agent of the clover root weevil <em>Sitona obsoletus </em>in pasture. The third parasitoid was <em>Aphidius colemani</em> which attacks aphids and is phylogenetically and ecologically remote from the two <em>Microctonus</em> spp. Microcosms were used to examine and compare the nature of the <em>L. bonariensis</em> responses when confronted by each of these parasitoids. Please note some behavioural, plant section by height and feeding scar raw data variables were not analysed. Here <em>M. hyperodae</em>, showed distinctive crouching and reduced feeding behaviour when confronted by <em>M. hyperodae</em>. When exposed to <em>M. aethiopoides</em>, the weevil exhibited very much reduced responses and there was no reaction whatsoever to <em>A. colmani</em>. The implications of these <em>L. bonariensis </em>behavioural responses are discussed in terms of the biogeography of the parasitoid species with reference to possible pre-adaptative behaviour.
DOI: 10.5281/zenodo.6387538
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karen Salazar, https://orcid.org/0000-0002-2284-6379. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.6387537
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karen Salazar, https://orcid.org/0000-0002-2284-6379. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.6392162
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karen Salazar, https://orcid.org/0000-0002-2284-6379. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.34740/kaggle/dsv/4136875
title: split ids data for classification pfe master
DOI: 10.5281/zenodo.7033117
title: Source model inputs and results - The July 2022 Mw 7.0 Northwestern Luzon Earthquake, Philippines

description: This repository includes all the modelling inputs necessary to reproduce the results presented in 'Source Model and Characteristics of the 27 July 2022 M<sub>W</sub> 7.0 Northwestern Luzon Earthquake, Philippines' by Rimando et al. (2022) as follows: the fault geometries ('custom_fault_dip30_vaf,' 'custom_fault_dip30_abra'), the downsampled InSAR LOS deformation input ('statics'), the crustal model ('crust01'), and the run file which includes all the run parameters that were used ('luzon_run_clean'). Also included are the main outputs ('Abra_Results' and 'Vigan_Results') that Mudpy should produce using the abovementioned input files. Once an interested party downloads MudPy (MudPy v.1.0 was used for this study: https://github.com/dmelgarm/MudPy), these folders just have to be placed in their spots in the directory structure (outlined at https://github.com/dmelgarm/MudPy/wiki/) in order to reproduce the findings in Rimando et al. (2022). <br>