cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4646334
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.4682234
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5009183
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5209378
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5239112
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5576841
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.4136531
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.6354770
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.6450347
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7140967
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8018952
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zabdi Lopez, https://orcid.org/0000-0003-0449-7352. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7812920
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peri Coleman, https://orcid.org/0000-0001-6218-7489. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7812921
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peri Coleman, https://orcid.org/0000-0001-6218-7489. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7814768
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Peri Coleman, https://orcid.org/0000-0001-6218-7489. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8017843
title: Training data for the Singapore Butterfly Classifier used in the XPRIZE Rainforest semifinals

description: Training data based on Lepidoptera observation data from Singapore with images attached from the Global Biodiversity Index Facility (GBIF) (de Vries H, Lemmens M (2023). Observation.org, Nature data from around the World. Observation.org. Occurrence dataset https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; Nature data from around the World, Observation.org, https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; iNaturalist Research-grade Observations, iNaturalist.org, https://doi.org/10.15468/ab3s5x; Earth Guardians Weekly Feed, Occurrence dataset https://doi.org/10.15468/slqqt8) Annotations were produced with a generic butterfly detector trained on annotations available at https://www.kaggle.com/datasets/mistag/arthropod-taxonomy-orders-object-detection-dataset, accessed on 2023-05-08). Annotations were produced with the generic butterfly detector while labels assigned using the specied ID assigned in the GBIF observation. Training data contains 230 species. These were the ones that contained species ID in relevant columns, contained 50+ images, and received predictions with the generic butterfly detector. Dataset: Observation.org, Nature data from around the World <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: iNaturalist Research-grade Observations <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: Earth Guardians Weekly Feed <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode
DOI: 10.5281/zenodo.8017842
title: Training data for the Singapore Butterfly Classifier used in the XPRIZE Rainforest semifinals

description: Training data based on Lepidoptera observation data from Singapore with images attached from the Global Biodiversity Index Facility (GBIF) (de Vries H, Lemmens M (2023). Observation.org, Nature data from around the World. Observation.org. Occurrence dataset https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; Nature data from around the World, Observation.org, https://doi.org/10.15468/5nilie accessed via GBIF.org on 2023-04-17; iNaturalist Research-grade Observations, iNaturalist.org, https://doi.org/10.15468/ab3s5x; Earth Guardians Weekly Feed, Occurrence dataset https://doi.org/10.15468/slqqt8) Annotations were produced with a generic butterfly detector trained on annotations available at https://www.kaggle.com/datasets/mistag/arthropod-taxonomy-orders-object-detection-dataset, accessed on 2023-05-08). Annotations were produced with the generic butterfly detector while labels assigned using the specied ID assigned in the GBIF observation. Training data contains 230 species. These were the ones that contained species ID in relevant columns, contained 50+ images, and received predictions with the generic butterfly detector. Dataset: Observation.org, Nature data from around the World <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: iNaturalist Research-grade Observations <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode<br> Dataset: Earth Guardians Weekly Feed <br> Rights as supplied: http://creativecommons.org/licenses/by-nc/4.0/legalcode
DOI: 10.6084/m9.figshare.23405129.v1
title: Chorus wave amplitude and diffusion coefficients during 17-19 March 2013 geomagnetic storm

description: This is the dataset of chorus diffusion coefficients during the geomagnetic storm of 17 - 19 March 2013. The dataset includes total electron density, chorus wave amplitude, and diffusion coefficient matrix as a function of time, L shell, MLT, pitch angle, and energy. The diffusion coefficient matrix was used in the modeling of Ma et al. (2018), where more detailed methodology is described. <br> Ma, Q., Li, W., Bortnik, J., Thorne, R. M., Chu, X., Ozeke, L. G., et al. (2018). Quantitative evaluation of radial diffusion and local acceleration processes during GEM challenge events. Journal of Geophysical Research: Space Physics, 123, 1938– 1952. https://doi.org/10.1002/2017JA025114
DOI: 10.5281/zenodo.7988104
title: Harvey-Lab-UW/Buonanduci_etal_2023_EcolLett: Release of data and code for Buonanduci et al. 2023 EcolLett

description: This is the latest release of data and code for reproducing the analyses in the manuscript 'Consistent spatial scaling of high-severity wildfire can inform expected future patterns of burn severity' by Buonanduci, Donato, Halofsky, Kennedy, and Harvey; provisionally accepted for publication in Ecology Letters. See the main text of the manuscript for complete descriptions of how data were processed and analyzed. This information is licensed under a Creative Commons Attribution 4.0 International License. Any user of these data ("User" hereafter) is required to cite it appropriately in any publication that results from its use. These data may be actively used by others for ongoing research, so coordination may be necessary to prevent duplicate publication. The User is urged to contact the authors of these data for questions about methodology or results. The User is encouraged to consider collaboration or co-authorship with authors where appropriate. Misinterpretation of data may occur if used out of context of the original study. Substantial efforts are made to ensure accuracy of the data and documentation, however complete accuracy of data sets cannot be guaranteed. All data are made available as is. Data may be updated periodically and it is the responsibility of the User to check for new versions of the data. The authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.
DOI: 10.5281/zenodo.8019007
title: crypturellus_soui_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8019006
title: crypturellus_soui_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.25911/bsgb-s179
title: Arabidopsis Thermo-tolerance Growth trial - Phenotyping imaging data
title: Arabidopsis TR0061

description: Images and data from arabidopsis phenotyping studies performed by the APPF ANU Plant Phenomics Group for Pip Wilson: Arabidopsis Thermo-tolerance Growth trial Expt ID: BVZ0061 Chamber(s)/Location: GC37
DOI: 10.6084/m9.figshare.23411204
title: Fastq files

description: 16S sequencing of fecal samples from mares of an Italian local horse breed Research has been carried out in 2022 July-November
DOI: 10.6084/m9.figshare.23411204.v1
title: Fastq files

description: 16S sequencing of fecal samples from mares of an Italian local horse breed Research has been carried out in 2022 July-November
DOI: 10.6084/m9.figshare.23303633
title: MAFFT sequences alignments

description: Raw MAFFT sequence alignments
DOI: 10.6084/m9.figshare.23303633.v1
title: MAFFT sequences alignments

description: Raw MAFFT sequence alignments
DOI: 10.6073/pasta/71d6931b2222b91e31aa11c6e2c07441
title: Delta smelt (Hypomesus transpacificus) life cycle model input data

description: Synthesized data used for fitting delta smelt population dynamics models, essentially consisting of predictor variables (environmental conditions and indices of prey and predators) and response variables (abundance indices). Input data is sourced from a variety of both federal and California state government monitoring programs taking place within the San Francisco Estuary, California. These include California Department of Fish and Wildlife fish surveys, Interagency Ecological Program's Environmental Monitoring Program for zooplankton, California Department of Water Resources' Dayflow, and United States Geological Survey water monitoring data. The sourced data are recorded from sub-hourly to monthly time scales and at various spatial scales, aggregated at monthly or greater time scales using summary statistics (e.g. means) and are not spatially explicit but use spatial stratification approaches for statistic calculation as appropriate.
DOI: 10.25919/pd2g-jw65
title: Parkes observations for project P1168 semester 2023APRS_03

description: We discovered seven pulsars in the globular cluster Terzan 1 with the Green Bank Telescope (GBT), the first pulsars to be found in this cluster. The discoveries include five fully-recycled millisecond pulsars (MSPs) with spin periods between 3 and 6 ms, an 11-ms MSP, and a pulsar with an unusually long spin period of 134 ms. Our preliminary timing suggested that all seven are likely isolated pulsars, consistent with Terzan 1 being a core-collapsed globular cluster. The 134-ms pulsar is an especially interesting discovery in the context of pulsar formation via electron-capture rather than core-collapse supernovae. We observed Terzan 1 at Parkes with the UWL receiver in 2022OCT to test whether the pulsars could be detected and thus timed at Parkes. All seven pulsars are significantly detected in both observations. We propose a year-long timing campaign with Parkes/UWL to obtain phase-connected timing solutions for these pulsars; we request continuing status to continue these timing observations through 2023OCT. To refine the timing parameters and probe the pulsars' acceleration in the cluster potential, we will extend phase connection beyond one year using the 2022OCT observations, and we will attempt to phase connect back to the original GBT discovery pointings. In addition to timing, we will probe the pulsars' polarization properties and the Galactic magnetic field in the direction of Terzan 1; and the proposed observations will also be searched for new pulsars that may have been missed in previous observations.
DOI: 10.25316/ir-19115
title: 2023 Library Survey Data

description: Cleaned raw data from the 2023 Library survey of VIU students, faculty, and staff.
DOI: 10.18739/a2h41jp05
title: EGRIP water isotope data 21.5 m (meters) to 2120.7 m depth at 5 cm resolution, from continuous flow analysis (CFA).

description: This data set is part of a joint international effort for the East GReenland Ice-core Project (EGRIP), which has retrieved an ice core by drilling through the Northeast Greenland Ice Stream (NEGIS, 75.63°N (North), 35.98°W (West)). Ice streams are responsible for draining a significant fraction of the ice from the Greenland Ice Sheet (GIS), and the project was developed to gain new and fundamental information on ice stream dynamics, thereby improving the understanding of how ice streams will contribute to future sea-level change. The drilled core also provides a new record of past climatic conditions from the northeastern part of the GIS. The project has many international partners and is managed by the Centre for Ice and Climate, Denmark with air support carried out by US ski-equipped Hercules aircraft managed through the US (United States) Office of Polar Programs, National Science Foundation. As of May 2022, approximately 2099.2 m (meters) of ice core have been recovered from the combined efforts of drilling operations in 2017, 2018, and 2019. Here we present records of stable isotopes of oxygen and hydrogen from 21.5 meters to 2120.7 m depth. Bedrock is estimated to be at a depth of approximately 2550 m; the remaining ice is expected to be recovered in the 2022 and 2023 field seasons. The data product presented here is supported by the National Science Foundation project: Collaborative Research: The fingerprint of abrupt temperature events throughout Greenland during the last glacial period. Award # 1804098.
DOI: 10.5281/zenodo.7743334
title: Data for Western U.S. Lightning-Fire-Precipitation paper

description: This repository contains supporting data for the manuscript titled "<strong>Lightning-ignited wildfires in the western United States: ignition precipitation and associated environmental conditions</strong> " by Kalashnikov et al. (2023). Please contact me with any questions at dmitri.kalashnikov@wsu.edu. -Dmitri
DOI: 10.5281/zenodo.7743333
title: Data for Western U.S. Lightning-Fire-Precipitation paper

description: This repository contains supporting data for the manuscript titled "<strong>Lightning-ignited wildfires in the western United States: ignition precipitation and associated environmental conditions</strong> " by Kalashnikov et al. (2023). Please contact me with any questions at dmitri.kalashnikov@wsu.edu. -Dmitri
DOI: 10.5281/zenodo.7761326
title: Data for Western U.S. Lightning-Fire-Precipitation paper

description: This repository contains supporting data for the manuscript titled "<strong>Lightning-ignited wildfires in the western United States: ignition precipitation and associated environmental conditions</strong> " by Kalashnikov et al. (2023). Please contact me with any questions at dmitri.kalashnikov@wsu.edu. -Dmitri
DOI: 10.18739/a2cc0tv6d
title: EGRIP water isotope data 21.5 m (meters) to 2120.7 m depth at 10 cm resolution, from continuous flow analysis (CFA).

description: This data set is part of a joint international effort for the East GReenland Ice-core Project (EGRIP), which has retrieved an ice core by drilling through the Northeast Greenland Ice Stream (NEGIS, 75.63°N (North), 35.98°W (West)). Ice streams are responsible for draining a significant fraction of the ice from the Greenland Ice Sheet (GIS), and the project was developed to gain new and fundamental information on ice stream dynamics, thereby improving the understanding of how ice streams will contribute to future sea-level change. The drilled core also provides a new record of past climatic conditions from the northeastern part of the GIS. The project has many international partners and is managed by the Centre for Ice and Climate, Denmark with air support carried out by US ski-equipped Hercules aircraft managed through the US (United States) Office of Polar Programs, National Science Foundation. As of May 2022, approximately 2099.2 m (meters) of ice core have been recovered from the combined efforts of drilling operations in 2017, 2018, and 2019. Here we present records of stable isotopes of oxygen and hydrogen from 21.5 meters to 2120.7 m depth. Bedrock is estimated to be at a depth of approximately 2550 m; the remaining ice is expected to be recovered in the 2022 and 2023 field seasons. The data product presented here is supported by the National Science Foundation project: Collaborative Research: The fingerprint of abrupt temperature events throughout Greenland during the last glacial period. Award # 1804098.
DOI: 10.25921/yx0n-ez58
title: EK60 Water Column Sonar Data Collected During EX2208
DOI: 10.5281/zenodo.5190342
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Maceira, https://orcid.org/0000-0002-4879-2268. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5190341
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Maceira, https://orcid.org/0000-0002-4879-2268. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5209379
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Maceira, https://orcid.org/0000-0002-4879-2268. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8019089
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by David Maceira, https://orcid.org/0000-0002-4879-2268. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8019094
title: Trinidad Zone 2008-2022 Template-Detected Earthquake Catalog & 2011-2012 Aftershock Array Catalog

description: This dataset contains two earthquake catalogs for the Trinidad zone in the Raton Basin on the Colorado-New Mexico, USA border. The excel spreadsheet has three tabs and each has a descriptor. The "aftershock_catalog" tab is an earthquake catalog following the 2011 Mw 5.3 mainshock earthquake in the Trinidad zone. It spans from August 2011 to May 2012. The "template" tab contains the earthquakes used as templates for the template-detection earthquake catalog. The "template_detected_catalog" is an earthquake catalog spanning May 30, 2008 to April 1, 2022 built using Transportable Array seismometer T25A.
DOI: 10.5281/zenodo.8019093
title: Trinidad Zone 2008-2022 Template-Detected Earthquake Catalog & 2011-2012 Aftershock Array Catalog

description: This dataset contains two earthquake catalogs for the Trinidad zone in the Raton Basin on the Colorado-New Mexico, USA border. The excel spreadsheet has three tabs and each has a descriptor. The "aftershock_catalog" tab is an earthquake catalog following the 2011 Mw 5.3 mainshock earthquake in the Trinidad zone. It spans from August 2011 to May 2012. The "template" tab contains the earthquakes used as templates for the template-detection earthquake catalog. The "template_detected_catalog" is an earthquake catalog spanning May 30, 2008 to April 1, 2022 built using Transportable Array seismometer T25A.
DOI: 10.25901/h0bn-2m50
title: Tumbarumba Wet Eucalypt Leaf Area Index Data, 2014
DOI: 10.25901/2zsm-3187
title: Calperum Mallee Leaf Area Index Data
DOI: 10.25901/d2s5-de69
title: Daintree Rainforest, Cape Tribulation Leaf Area Index Data
DOI: 10.25901/4c5t-tp95
title: Great Western Woodlands Leaf Area Index Data
DOI: 10.25901/tavr-3q03
title: Samford Peri-Urban Leaf Area Index Data
DOI: 10.25901/shas-s240
title: Robson Creek Rainforest Leaf Area Index Data, 2014
DOI: 10.25901/df6h-gm51
title: Whroo Dry Eucalypt Leaf Area Index Data
DOI: 10.25901/3tkw-r139
title: Warra Tall Eucalypt Leaf Area Index Data, 2015.
DOI: 10.26180/23422853
title: YES Program Evaluation Dataset 2022

description: This dataset contains responses from Australian youth on the Youth Mental Health Literacy Scale (YMHL), 14-item Resilience Scale (RS-14), General Help Seeking Questionnaire (GHSQ) and Actual Help Seeking Questionnaire (AHSQ) in 2022 for evaluation of the Australian adapted Youth Education and Support (YES) program.
DOI: 10.26180/23422853.v1
title: YES Program Evaluation Dataset 2022

description: This dataset contains responses from Australian youth on the Youth Mental Health Literacy Scale (YMHL), 14-item Resilience Scale (RS-14), General Help Seeking Questionnaire (GHSQ) and Actual Help Seeking Questionnaire (AHSQ) in 2022 for evaluation of the Australian adapted Youth Education and Support (YES) program.