cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25008656.v1
title: Dateset.csv

description: This study explores the factors influencing Chinese people’s participation in winter sports tourism by combining demographic characteristics and the theory of planned behavior. The aim is to provide recommendations and insights for promoting the sustainable development of sports tourism and the sports industry in China and worldwide. The results of the multiple regression analysis show that behavioral attitude, subjective norms, and perceived behavioral control have a significant positive impact on behavioral intention, while perceived behavioral control and behavioral intention have a significant positive impact on actual behavior. Additionally, behavioral intention plays a significant mediating role between subjective norms, perceived behavioral control, and actual behavior. The results of fsQCA analysis show that besides the theory of planned behavior, demographic characteristics such as monthly income and education level are important factors affecting participation in winter sports tourism. Finally, propose substantial recommendations for promoting the sustainable development of winter sports tourism.<br>
DOI: 10.5281/zenodo.10520134
title: A minimum data standard for reporting host-feeding patterns of vectors

description: Vector host-feeding patterns provide insights about transmission cycles of vector-borne pathogens. The host-feeding patterns are investigated by the bloodmeal identification of engorged vector specimens collected in the field. Publications on host-feeding patterns often do not report their methods and results in a standardized way. A lot of information is especially lost due to missing (e.g. GPS coordinates), incomplete (e.g. vector species) or aggregated information (e.g. sampling site and time point). This prevents systematic analysis in a broad context, e.g. in meta-analysis or comparative studies. Therefore, we here propose a minimum standard data basis for reporting the methods and the results of studies on the host-feeding patterns of vectors. The usefulness of the proposed variables for standardization are demonstrated with the example of a data extraction from previously published study on mosquito host-feeding patterns in Panama: Navia-Gine, W. G., Loaiza, J. R. & Miller, M. J. Mosquito-host interactions during and after an outbreak of equine viral encephalitis in eastern panama. PLoS One 8, e81788 (2013)
DOI: 10.5281/zenodo.10520135
title: A minimum data standard for reporting host-feeding patterns of vectors

description: Vector host-feeding patterns provide insights about transmission cycles of vector-borne pathogens. The host-feeding patterns are investigated by the bloodmeal identification of engorged vector specimens collected in the field. Publications on host-feeding patterns often do not report their methods and results in a standardized way. A lot of information is especially lost due to missing (e.g. GPS coordinates), incomplete (e.g. vector species) or aggregated information (e.g. sampling site and time point). This prevents systematic analysis in a broad context, e.g. in meta-analysis or comparative studies. Therefore, we here propose a minimum standard data basis for reporting the methods and the results of studies on the host-feeding patterns of vectors.
DOI: 10.5281/zenodo.10520213
title: A minimum data standard for reporting host-feeding patterns of vectors

description: Vector host-feeding patterns provide insights about transmission cycles of vector-borne pathogens. The host-feeding patterns are investigated by the bloodmeal identification of engorged vector specimens collected in the field. Publications on host-feeding patterns often do not report their methods and results in a standardized way. A lot of information is especially lost due to missing (e.g. GPS coordinates), incomplete (e.g. vector species) or aggregated information (e.g. sampling site and time point). This prevents systematic analysis in a broad context, e.g. in meta-analysis or comparative studies. Therefore, we here propose a minimum standard data basis for reporting the methods and the results of studies on the host-feeding patterns of vectors. The usefulness of the proposed variables for standardization are demonstrated with the example of a data extraction from previously published study on mosquito host-feeding patterns in Panama: Navia-Gine, W. G., Loaiza, J. R. & Miller, M. J. Mosquito-host interactions during and after an outbreak of equine viral encephalitis in eastern panama. PLoS One 8, e81788 (2013)
DOI: 10.25919/aerb-jp51
title: Parkes observations for project P1162 semester 2023OCTS_07

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its apparent spin-down rate, as reported in the catalogue, was the highest among known millisecond pulsars, causing a seeming tension with the spin-up theory. Second, its apparent high flux density and small distance seemed to give a high timing precision. We have observed J1402+13 with high cadence in the past 9 months and obtained a phase-coherent solution, which gives a much lower pdot (~ 10^{-20} s/s) thus solves the tension with the spin-up theory. We apply for another 15 hours to observe the pulsar to further extend the timing baseline, which will refine our timing solution and help us clearly evaluate its timing precision and potential to be used for pulsar timing arrays. The observation will also help us study the scintillation effect of the pulsar and measure its steep spectral index. The more comprehensive measurements of the pulsar will also facilitate observations in optical and gamma-ray bands.
DOI: 10.25919/aj3h-jr98
title: Parkes observations for project P456 semester 2023OCTS_06

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We are therefore now attempting to confirm, or deny, this exciting result. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.6084/m9.figshare.25008644
title: Forest Fire

description: This is part of the total data set
DOI: 10.34740/kaggle/dsv/7416143
title: AutoXplorer Dataset
DOI: 10.6073/pasta/2355b58bbedf87fd4f318660f2f1cde1
title: Hubbard Brook Experimental Forest: 15-minute Precipitation by Watershed, 2017 - present

description: From 2011 to 2017, ten electronic weighing rain gauges were progressively implemented at the Hubbard Brook Experimental Forest to measure precipitation at 15-minute intervals. 15-minute resolution watershed precipitation values for nine research watersheds are calculated as a weighted average of precipitation using Inverse Distance Weighting. These data were gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.5281/zenodo.10519747
title: CMIP6 1% per year CO2 Simulations Fire Carbon Emissions

description: NetCDF files for 7 CMIP6 Earth system models based on their 1% per year CO2 simulation (1pctCO2).  Also included are two variations of this simulation, including biogeochemically coupled (1pctCO2-bgc) and radiatively coupled only (1pctCO2-rad).  Each model's corresponding preindustiral control (piControl) simulation is also included.  Models have been reinterpolated to a standard 2.5x2.5 degree grid.  Each file contains the variable "FFIRE", which is "Carbon Mass Flux into Atmosphere Due to CO2 Emission from Fire Excluding Land-Use Change [kgC m-2 s-1]".  The 1pctCO2 files (and its two variants) include monthly data for all 140 years (e.g., CO2 doubles in year ~70) of the simulation.  The piControl files contain 50 years of monthly data (to be compared with the last 50 years of the various 1pctCO2 simulations).
DOI: 10.5281/zenodo.10519748
title: CMIP6 1% per year CO2 Simulations Fire Carbon Emissions

description: NetCDF files for 7 CMIP6 Earth system models based on their 1% per year CO2 simulation (1pctCO2).  Also included are two variations of this simulation, including biogeochemically coupled (1pctCO2-bgc) and radiatively coupled only (1pctCO2-rad).  Each model's corresponding preindustiral control (piControl) simulation is also included.  Models have been reinterpolated to a standard 2.5x2.5 degree grid.  Each file contains the variable "FFIRE", which is "Carbon Mass Flux into Atmosphere Due to CO2 Emission from Fire Excluding Land-Use Change [kgC m-2 s-1]".  The 1pctCO2 files (and its two variants) include monthly data for all 140 years (e.g., CO2 doubles in year ~70) of the simulation.  The piControl files contain 50 years of monthly data (to be compared with the last 50 years of the various 1pctCO2 simulations).
DOI: 10.34740/kaggle/dsv/7416208
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7416221
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.2909/29464d2c-4707-4775-805b-5267cb08fe86
title: Industrial Reporting under the Industrial Emissions Directive 2010/75/EU and European Pollutant Release and Transfer Register Regulation (EC) No 166/2006 Ver 10.0 Nov. 2023 (Spatial data)

description: This metadata refers to the geospatial dataset representing the status of the EEA Industrial Reporting database as of 15 Dec 2023 (version 10). The release and emissions data cover the period 2007-2022 as result of the data reported under the new E-PRTR facilities, 2017-2022 for IED installations and WI/co-WIs, and 2016-2022 for LCPs. These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.
DOI: 10.34740/kaggle/dsv/7416222
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.2909/63a14e09-d1f5-490d-80cf-6921e4e69551
title: Industrial Reporting under the Industrial Emissions Directive 2010/75/EU and European Pollutant Release and Transfer Register Regulation (EC) No 166/2006 - ver. 10.0 Dec 2023 (Tabular data)

description: This metadata refers to the geospatial dataset representing the status of the EEA Industrial Reporting database as of 15 December 2023 (version 10). The release and emissions data cover the period 2007-2022 as result of the data reported under the new E-PRTR facilities, 2017-2022 for IED installations and WI/co-WIs, and 2016-2022 for LCPs. These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.
DOI: 10.6075/j0125swh
title: Palau 2016-07 (Expedition) - Palau North (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2016, the 100 Island Challenge team visited the Northern region of Palau to collect large-area imagery as part of the Palau 2016-07 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0wd40sg
title: Palau 2017-06 (Expedition) - Pulo Anna (Island) - Raw Images. In 100 Island Challenge Collection

description: In June of 2017, the 100 Island Challenge team visited Pulo Anna to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0rn383m
title: Palau 2017-06 (Expedition) - Sonsorol (Island) - Raw Images. In 100 Island Challenge Collection

description: In June of 2017, the 100 Island Challenge team visited Sonsorol to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0mw2hcw
title: Palau 2017-06 (Expedition) - Fanna (Island) - Raw Images. In 100 Island Challenge Collection

description: In June of 2017, the 100 Island Challenge team visited Fanna to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0h41rng
title: Palau 2016-07 (Expedition) - Palau South (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2016, the 100 Island Challenge team visited the Southern region of Palau to collect large-area imagery as part of the Palau 2016-07 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0cc10wp
title: Palau 2017-06 (Expedition) - Helen (Island) - Raw Images. In 100 Island Challenge Collection

description: In June of 2017, the 100 Island Challenge team visited Helen to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project and includes resurveys of permanent sites established during the Helen 2014-12 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j07m084x
title: Palau 2017-06 (Expedition) - Tobi (Island) - Raw Images. In 100 Island Challenge Collection

description: In June of 2017, the 100 Island Challenge team visited Tobi to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j03t9hf3
title: Palau 2022-01 (Expedition) - Palau Central (Island) - Raw Images. In 100 Island Challenge Collection

description: In January of 2022, the 100 Island Challenge team visited the Central region of Palau to collect large-area imagery as part of the Palau 2022-01 expedition. The imagery collected here are resurveys of permanent sites established during the Palau 2017-06 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0057g4d
title: Helen 2014-12 (Expedition) - Tobi (Island) - Raw Images. In 100 Island Challenge Collection

description: In December of 2014, the 100 Island Challenge team visited Tobi to collect large-area imagery as part of the Helen 2014-12 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0vd6zp5
title: Palau 2017-06 (Expedition) - Merir (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2017, the 100 Island Challenge team visited Merir to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0qn670p
title: Palau 2017-06 (Expedition) - Palau South (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2017, the 100 Island Challenge team visited the Southern region of Palau to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project and includes resurveys of permanent sites established during the Palau 2016-07 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0kw5g7h
title: Palau 2017-06 (Expedition) - Palau Central (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2017, the 100 Island Challenge team visited the Central region of Palau to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0g44qgn
title: Palau 2022-01 (Expedition) - Palau South (Island) - Raw Images. In 100 Island Challenge Collection

description: In January of 2022, the 100 Island Challenge team visited the Southern region of Palau to collect large-area imagery as part of the Palau 2022-01 expedition. The imagery collected here are resurveys of permanent sites established during the Palau 2017-06 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j0bc3zqg
title: Palau 2022-01 (Expedition) - Tobi (Island) - Raw Images. In 100 Island Challenge Collection

description: In January of 2022, the 100 Island Challenge team visited Tobi to collect large-area imagery as part of the Palau 2022-01 expedition. The imagery collected here are resurveys of permanent sites established during the Palau 2017-06 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.6075/j06m3710
title: Palau 2017-06 (Expedition) - Palau North (Island) - Raw Images. In 100 Island Challenge Collection

description: In July of 2017, the 100 Island Challenge team visited the Northern region of Palau to collect large-area imagery as part of the Palau 2017-06 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project and includes resurveys of permanent sites established during the Palau 2016-07 expedition. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.