cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7386967
title: Three-way model differencing and conflict detection

description: We have further enhanced our practice, DSMCompare, to detect semantic differences and conflicts based on a three-way domain-specific comparison approach. To evaluate our practice, using a novel technique; we first used a reverse engineering method to transform the minimal collection of conflicting files of source codes involved in each commit into a three model for 95 conflicting commits over 13 open source GitHub projects and then calculated a high precision and recall compared to RefConfMiner's result.<br> The repository contains the results of the evaluation including the common ancestor model, left version mode, right version model, and the results of semantic comparison and conflict detection for each commit. The source code and relevant artifacts such as meta-models are available at:<br> https://github.com/geodes-sms/DSMCompare/
description: The source code and relevant artifacts such as meta-models are available at: https://github.com/geodes-sms/DSMCompare/
description: {"references": ["Zadahmad, M., Syriani, E., Alam, O., Guerra, E., & de Lara, J. (2022). DSMCompare: domain-specific model differencing for graphical domain-specific languages. Software and Systems Modeling, 1-30.", "Zadahmad, M., Syriani, E., Alam, O., Guerra, E., & de Lara, J. (2019, October). Domain-specific model differencing in visual concrete syntax. In Proceedings of the 12th ACM SIGPLAN International Conference on Software Language Engineering (pp. 100-112)."]}
DOI: 10.5066/p9h830jb
title: GIS shapefile and related summary data describing irrigated agricultural land use in DeSoto County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for DeSoto County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in DeSoto County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.34740/kaggle/dsv/4638496
title: Party Affiliations of US Congress, 1789-2022
DOI: 10.5066/p9vdg4ot
title: GIS shapefile and related summary data describing irrigated agricultural land use in Hardee County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Hardee County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Hardee County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.5066/p9znrqwv
title: GIS shapefile and related summary data describing irrigated agricultural land use in Hillsborough County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Hillsborough County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Hillsborough County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.5066/p94l8rni
title: GIS shapefile and related summary data describing irrigated agricultural land use in Lee County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Lee County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Lee County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.5066/p9ul4gy1
title: GIS shapefile and related summary data describing irrigated agricultural land use in Manatee County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Manatee County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Manatee County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.25398/rd.northumbria.17830043.v1
title: OnenDoTT Deployment Dataset: ESR2 Smart Homes

description: This folder contains data from the study "Watery Alterity: Crafting Hydro-Feminist Paces for Home IoT" which was conducted over the course of 2-3 months from October to January 2021 as part of PhD research on Domestic IoT with the Open Design of Trusted Things (OpenDoTT) project.
DOI: 10.18434/mds2-2776
title: Optical spectra data for backward-wave spontaneous-parametric downconversion
DOI: 10.5066/p9p8qprp
title: GIS shapefile and related summary data describing irrigated agricultural land use in Sarasota County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Sarasota County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Sarasota County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.5066/p9b1lax0
title: GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019

description: The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.
DOI: 10.24378/exe.4364
title: Engineering the carrier lifetime and switching speed in Si-based mm-wave photomodulators (dataset)

description: This is the dataset used for the Hooper et al. article "Engineering the carrier lifetime and switching speed in Si-based mm-wave photomodulators" published in the Journal of Applied Physics.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/131912
DOI: 10.5066/p9ounvok
title: GIS shapefile and related summary data describing irrigated agricultural land-use in Hendry and Palm Beach Counties, Florida for 2019
DOI: 10.5066/p9gguwnq
title: GIS shapefile and related summary data describing irrigated agricultural land use in Broward and Miami-Dade Counties, Florida for 2019

description: A Geographic Information System (GIS)? shapefile and summary tables of irrigated agricultural land-use are provided for Broward and Miami-Dade Counties, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the locations in Broward and Miami-Dade Counties, Florida of irrigated lands that were field verified between January 2019 and February 2021, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided.
DOI: 10.5066/p9msl29l
title: GIS shapefile and related summary data describing irrigated agricultural land use for Lake, Marion, and Orange Counties, Florida for 2020

description: A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for Lake, Marion, and Orange Counties, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.
DOI: 10.5066/p9wxjpa4
title: GIS shapefile and related summary data describing irrigated agricultural land use for the 15 counties fully within the Northwest Florida Water Management District, Florida, 2021

description: A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the 15 counties fully within the Northwest Florida Water Management District (Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington counties). These files were compiled through a cooperative project between the U.S. Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field surveying that started in May 2021 and concluded in August 2021. Field data collected were crop [...]
DOI: 10.5066/p99uo2s2
title: GIS shapefile and related summary data describing irrigated agricultural land use for the 14 counties all or partially within the Suwannee River Water Management District Florida for 2020

description: A Geographic Information System (GIS) shapefile and summary tables of irrigated agricultural land-use are provided for the fourteen counties that are fully or partially within the Suwannee River Water Management District, Florida compiled through a cooperative project between the U.S Geological Survey and the Florida Department of Agriculture and Consumer Services, Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated lands that were verified during field trips that started in January 2020 and concluded in December 2020, and the crop type, irrigation system type, and primary water source used. A map image of the shapefile is provided. Previously published estimates of irrigation acreage for years since 1982 are included in summary tables.
DOI: 10.15156/bio/sh1703372.08fu
title: SH1703372.08FU

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/sh339046.07fu
title: SH339046.07FU

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/sh339047.07fu
title: SH339047.07FU

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/sh1703373.08fu
title: SH1703373.08FU

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/sh1703374.08fu
title: SH1703374.08FU

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/sh339048.07fu
title: SH339048.07FU

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/sh339049.07fu
title: SH339049.07FU

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/sh1703375.08fu
title: SH1703375.08FU

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/sh1703376.08fu
title: SH1703376.08FU

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/sh339050.07fu
title: SH339050.07FU

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.