cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1498482.08fu
title: SH1498482.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1962068.08fu
title: SH1962068.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1962069.08fu
title: SH1962069.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1498483.08fu
title: SH1498483.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1498484.08fu
title: SH1498484.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5063/f13f4mwg
title: Historic precipitation in Alaska for 1901-2015, with regional subsetting by SASAP region

description: The purpose of this project is to extract historic average Alaskan precipitation across different time intervals for periods of interest (e.g. spawning season, growing season, monthly averages) across different regions of Alaska. Details on the extraction can be found in the file "PrecipitationHistoric.ipynb" within this package. In particular, the data files in this package comprise records for regional and temporal subsets of the original dataset, with the regional divisions determined by the SASAP project. These data were derived from the "Historical Monthly Precipitation - 1 km CRU TS" dataset, available at http://ckan.snap.uaf.edu/dataset/historical-monthly-precipitation-1-km-cru-ts. The "Historical Monthly Precipitation - 1 km CRU TS" dataset was created by Matthew Leonawicz, Michael Lindgren, Tom Kurkowski (takurkowski@alaska.edu), Scott Rupp, and John Walsh, and was funded by the Arctic Landscape Conservation Cooperative, Western Alaska Landscape Conservation Cooperative, and Northwest Boreal Landscape Conservation Cooperative (LCCs) and the Alaska Climate Science Center. The dataset is licensed under Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/).
DOI: 10.5063/f1kd1w4s
title: In-situ stream temperature monitoring at fish weirs, Alaska, 2008-2015

description: US Fish and Wildlife Service Office of Subsistence Management (USFWS OSM) has collected twice hourly aquatic stream temperature (C) data at sites sites associated with fish weirs around Alaska. Sampling for each site occurred at some point between 2008 to 2015, but not all sites logged data for every year in the study period. Each sampling site has at least 352 days of data and at most 7.4 years. Some of the stream temperature monitoring sites are completed but most are on going. This dataset is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperatures. These data were provided by USFWS OSM for archival as part of an effort between the State of Alaskan Salmon and People (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers. This package includes 27 stream temperature data files. File names are formatted WaterbodyName_AKOATSID_StartDate_EndDate. This package also includes site level metadata (USFWS_OSM_Sites.csv).
DOI: 10.5063/f1q52mv3
title: Hydrologic Unit (HUC8) Boundaries for Alaskan Watersheds

description: The United States is divided and sub-divided into successively smaller hydrologic units which are classified into four levels: regions, sub-regions, accounting units, and cataloging units. The hydrologic units are arranged or nested within each other, from the largest geographic area (regions) to the smallest geographic area (cataloging units). Each hydrologic unit is identified by a unique hydrologic unit code (HUC) consisting of two to eight digits based on the four levels of classification in the hydrologic unit system. A shapefile (or geodatabase) of watersheds for the state of Alaska and parts of western Canada was created by merging two datasets: the U.S. Watershed Boundary Dataset (WBD) and the Government of Canada's National Hydro Network (NHN). Since many rivers in Alaska are transboundary, the NHN data is necessary to capture their watersheds. The WBD data can be found at https://catalog.data.gov/dataset/usgs-national-watershed-boundary-dataset-wbd-downloadable-data-collection-national-geospatial- and the NHN data can be found here: https://open.canada.ca/data/en/dataset/a4b190fe-e090-4e6d-881e-b87956c07977. The included python script was used to subset and merge the two datasets into the single dataset, archived here.
DOI: 10.5285/7e8af0db-4916-6cdd-e053-6c86abc012f1
title: Dissolved Fe-binding organic ligands in the Mediterranean Sea - GEOTRACES GA04.

description: This data contains Fe-binding dissolved organic ligands that were sampled and analysed during two GEOTRACES cruises on board the Dutch R/V Pelagia in the Mediterranean Sea (Geotraces GA04). The southern cruise, PE370, started 14 May 2013 departing from Lisbon (Portugal) and ended in Istanbul (Turkey) on 05 June 2013. The northern cruise (N), PE374, left Istanbul on 25 July 2013 and ended in Lisbon on 11 August 2013. Samples were taken from the ultra-clean NIOZ CTD frame over the whole depth of the water column at 13 stations from the Atlantic Ocean (39.7N; -14.2W), the Mediterranean Sea to the Sea of Marmara. Samples were filtered over a 0.2 µm filter using N2 overpressure in a clean-air laboratory unit (Rijkenberg et al., 2015). Dissolved Fe binding organic ligands were characterized using competing ligand exchange adsorptive cathodic stripping voltammetry (CLE-aCSV) with 2-(2-Thiazolylazo)-p-cresol (TAC) as competing ligand (Croot and Johansson, 2000). The data is published (Gerringa et al., 2017).
DOI: 10.5517/ccdc.csd.cc202wdd
title: CCDC 1849813: Experimental Crystal Structure Determination

description: Related Article: Louis Frentzel-Beyme, Marvin Kloß, Roman Pallach, Soma Salamon, Henning Moldenhauer, Joachim Landers, Heiko Wende, Jörg Debus, Sebastian Henke|2019|J.Mater.Chem.A|7|985|doi:10.1039/C8TA08016J
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.cc202whh
title: CCDC 1849816: Experimental Crystal Structure Determination

description: Related Article: Louis Frentzel-Beyme, Marvin Kloß, Roman Pallach, Soma Salamon, Henning Moldenhauer, Joachim Landers, Heiko Wende, Jörg Debus, Sebastian Henke|2019|J.Mater.Chem.A|7|985|doi:10.1039/C8TA08016J
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.cc202wjj
title: CCDC 1849817: Experimental Crystal Structure Determination

description: Related Article: Louis Frentzel-Beyme, Marvin Kloß, Roman Pallach, Soma Salamon, Henning Moldenhauer, Joachim Landers, Heiko Wende, Jörg Debus, Sebastian Henke|2019|J.Mater.Chem.A|7|985|doi:10.1039/C8TA08016J
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: 10.17632/b77g842jnx.4
title: Data for: Nonlinear dynamic behavior of sandstone under repetitive impact loading

description: This sheet contains all the experrimental data by applying gas pressure 0.6 Mpa increased to 1.0 Mpa with progressively increased confining pressure.
DOI: 10.5063/f12f7kp6
title: In-situ stream temperature monitoring, Kodiak Island, Alaska

description: Stream temperature is an important parameter to ecology, climate, and hydrology studies in Alaska. Alaska Department of Fish and Game (ADFG) has collected hourly stream temperature (C) data on Kodiak Island, Alaska. Sampling occurred in 2016 and 2017, though not all sites were sampled in 2016. This dataset is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperatures. These data were provided by ADFG for archival as part of an effort between the State of Alaskan Salmon and People (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers. This package includes a site level metadata file (SiteLevelMetadata_Kodiak.csv) and 8 stream temperature data files. Data file names are formatted WaterbodyName_AKOATSID_StartDate_EndDate.
DOI: 10.5063/f1668bfc
title: In-situ stream temperature monitoring, Cook Inlet, Alaska, 2002-2017

description: Cook Inlet Keeper (CIK) has collected hourly stream temperature (C) data in the Cook Inlet of Alaska. Sampling for each site occurred at some point between 2002 to 2017; each sampling site has at least 1 year of data and at most 16 years. All of the stream temperature monitoring sites are ongoing; however, not all sites logged data for every year in the study period. This dataset is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperatures. These data were provided by CIK for archival as part of an effort between the State of Alaskan Salmon and People (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers. This package includes 63 stream temperature data files. File names are formatted WaterbodyName_AKOATSID_StartDate_EndDate. This package also includes site level metadata (SiteLevelMetadata_Mauger.csv).
DOI: 10.5063/f19z934b
title: In-situ stream temperature monitoring, central Alaska, 2008-2017

description: The National Park Service (NPS) has collected stream temperature data at 23 sites throughout the Central Alaska Network (CAKN). Sampling for each site occurred between 2008 and 2017 and the majority of the sites are ongoing monitoring sites. This dataset is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperature. These data were provided by the National Park Service for archival as part of an effort between the State of Alaskan Salmon and People (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers. This package includes 23 stream temperature data files. File names include the WaterbodyName_AKOATS ID_StartDate_EndDate (e.g. CrystalCreek_1589_2010_2012.csv). This package also includes site level metadata (SiteLevelMetadata_Simmons.csv) and spot temperature data recorded with a sonde (SpotTempData.csv).
DOI: 10.5063/f1fn14fw
title: In-situ stream temperature monitoring, Alaska

description: US Fish and Wildlife Service has collected hourly stream temperature (C) data at 60 sites throughout Alaska. Some stream temperature recording sites are ongoing. Sampling for each site occurred at some point between 2004 to 2017; each sampling site has at least 1 year of data and at most 7 years. This dataset is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperatures. The data was provided by the US Fish and Wildlife Service for archival as part of an effort between the State of Alaskan Salmon and People (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers. More specific information about sites on the Anadramous Waters Catalog can be found by their corresponding AWC codes on the Anadramous Waters Catalog section on the Alaska Department of Fish and Game website (https://www.adfg.alaska.gov/static-sf/AWC/PDFs/2017swt_CATALOG.pdf).
DOI: 10.5255/ukda-sn-853398
title: Brazilian young people's engagements with food, water and energy 2016-2018
DOI: 10.25345/c5kp5k
title: MassIVE MSV000083297 - GNPS - Chemical Standards - Bile Acids and Conjugates, Human
title: data from the analysis of chemical standards analyzed in positive and negative ionization mode. data collected using data-dependent acquisition.
DOI: 10.25919/5c2f867d1d191
title: Parkes observations for project P737 semester 2018APRS_50

description: Pulsar observations using the Parkes radio telescope have led to some of the most exciting astronomical results in the last few years.  The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. High precision pulsar timing experiments require cross-coupling in the feed to be measured.  This can only be done using observations of PSR J0437-4715 from rise-to-set.  We propose to undertake such observations and make the results available for any users of the telescope.  We will also use P737 to commission new receivers such as the UWB.
DOI: 10.25919/5c2f87db09bc0
title: Parkes pulsar observations with undefined project IDs for 2018_11

description: Parkes pulsar observations with undefined project IDs for 2018. UWB commissioning data.
DOI: 10.25919/5c2f88b3d4c81
title: Parkes pulsar observations with undefined project IDs for 2018_12

description: Parkes pulsar observations with undefined project IDs for 2018
DOI: 10.25919/5c2f88f727666
title: Parkes pulsar observations with undefined project IDs for 2018_13

description: Parkes pulsar observations with undefined project IDs for 2018
DOI: 10.25919/5c2f892fa1ded
title: Parkes observations for project P456 semester 2018OCTS_03

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. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. 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: 10.5063/f1dr2sqf
title: INPFC/NPAFC High-seas salmonid tag-recovery database, 1956 - 2013

description: This data set contains information on the high-seas tag recovery program for salmon and steelhead from the 1950s to 2013 in the North Pacific Ocean, Gulf of Alaska, and Bering Sea, from the North Pacific Anadromous Fish Commission. The database was last updated in April of 2016, and this version was provided in November of 2016. Data are provided on the location, species, age, sex, and initial tag location. Annual high seas salmon recovery information have been reported annually to the International North Pacific Fisheries Commission (1981–1992) and to the North Pacific Anadromous Fish Commission (1993–present). The tag recovery program enables the investigation of ocean distribution, migration, and growth of salmon at sea. Here, only information from non-electronic tags are reported. Information are available for salmon species: chinook (Oncorhynchus tshawytscha), chum (Oncorhynchus keta), coho (Oncorhynchus kisutch), pink (Oncorhynchus gorbuscha), sockeye (Oncorhynchus nerka), and steelhead (Oncorhynchus mykiss). Researchers using these data are cautioned to possible biases in the data caused from non-random area of tag release and from recovery of tagged fish in coastal areas that may not reflect the basin or area of origin. A discussion of these issues is provided in Myers et al. (1996). Included maps are generated from the dataset and show the release month by species, and the recovery region at release point. These maps were created by researchers at the National Center for Ecological Analysis and Synthesis.
DOI: 10.5063/f1jd4v1v
title: In-situ stream temperature monitoring, Southwest Alaska, 2013-2017.

description: This dataset includes data on stream temperature collected in 15-minute intervals over multiple years for multiple sites across Southwest Alaska. Some stream temperature monitoring sites are ongoing. Sampling occurred either between 2013 and 2017 or between 2015 and 2017, depending on the location. The data is part of a larger project to collect a comprehensive statewide inventory of current and historic continuous monitoring locations for stream and lake temperatures. The data was provided by the UAA Alaska Center for Conservation Science for archival as part of an effort between the State of Alaska's Salmon and People Project (SASAP, https://alaskasalmonandpeople.org/) and the Alaska Center for Conservation Science's Alaska Online Aquatic Temperature Site (AKOATS, http://accs.uaa.alaska.edu/aquatic-ecology/akoats/) to make stream temperature data more readily available for researchers.