cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh359712.07fu
title: SH359712.07FU

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/sh359713.07fu
title: SH359713.07FU

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/sh1724565.08fu
title: SH1724565.08FU

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/sh1724566.08fu
title: SH1724566.08FU

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/sh359714.07fu
title: SH359714.07FU

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/sh359715.07fu
title: SH359715.07FU

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: 10.7910/dvn/mogkcd/6epng2
title: 3. Control-0 hours.xlsx

description: :unav
DOI: 10.7910/dvn/mogkcd/uhdgm2
title: 5. Extenders-a vs b.xlsx

description: :unav
DOI: 10.17632/gw33xrgkm5.1
title: Data for: The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: a systematic review and meta-analysis

description: Study Protocol: This protocol provides evidence of the methods applied in this research activity. ImpactSpeed_MA.csv: This file includes the final extracted data used in our meta-analysis. ImpactSpeed_MA.r: This document provides the statistical analyses used in this research activity.
DOI: 10.17632/x3mrhtxnby.2
title: Electrical resistivity survey datasets

description: This data consists of geological map, layout plan and geophysical survey lines in several location in Banggi Island, Sabah Malaysia. There are six inverse model resistivity data also provided here.
DOI: 10.5061/dryad.54t59r8/1
title: Dryad Item 10.5061/DRYAD.54T59R8/1

description: (:tba)
DOI: 10.5061/dryad.54t59r8/2
title: Dryad Item 10.5061/DRYAD.54T59R8/2

description: (:tba)
DOI: 10.25345/c5t067
title: MassIVE MSV000083894 - Caloric restriction induces microRNAs to improve mitochondrial proteostasis
title: To relatively quantify the hepatic proteome in mice, a mouse hepatic protein sample was used as a SILAC spike-in standard, as previously described (Geiger et al., 2011). Briefly, mice were fed a 1% 13C6-Lysine SILAC diet until completely labelled F2 mice (SILAC mice) were obtained. AL and CR mouse liver tissues were lysed and sonicated, and the protein amounts were quantified. Protein samples from 5 mice in the same group were pooled together in equal amounts before being mixed with the SILAC mouse protein sample at a ratio of 1:1. The mixed protein samples were further digested by LysC protease in gel and separated with a Nano Acquity Ultra Performance LC (Waters) instrument. An LTQ-Orbitrap Velos was used for mass spectrometry, and Sorcerer-SEQUEST 4.0.4 (Sage-N Research) was used for protein identification. Peptides with S/N &lt; 6 were removed. Protein expression levels were normalized to the spiked-in SILAC protein levels.
DOI: 10.5061/dryad.3b02tb6/1
title: Dryad Item 10.5061/DRYAD.3B02TB6/1

description: (:tba)
DOI: 10.17632/k66xjbnp7d.1
title: Data for: Learning about risk: machine learning for risk assessment

description: In order to avoid potential damage during drilling operations for a new offshore Oil&Gas well, a semi-submersible drilling unit should maintain the position above the wellhead. This is particularly critical if the platform is located in shallow waters, where small changes of position lead to higher riser (pipe connecting the platform to the subsea drilling system) angles. Exceeding physical inclination limits may result in damages to wellhead, Blowout Preventer (BOP – sealing the well) or Lower Marine Riser Package (LMRP – connecting riser and BOP). Platform positioning is maintained in an autonomous way through the action of a set of thrusters controlled by the Dynamic Positioning (DP) system. Platform position may be lost due to a series of reasons. In this case study, it is assumed that the platform thrusters exercise propulsion towards a wrong direction, leading to a scenario of "drive-off. If the rig moves to an offset position, specific alarms turn on and suggest the DPO to stop the drive-off scenario by deactivating the thrusters and initiating the manual Emergency Disconnect Sequence (EDS) for the disconnection of the riser from the BOP. If the manual EDS ultimately fails, the automatic EDS activates at the ultimate position limit allowing for safe disconnection. Matteini (2015) studied in detail occurrence and development of drive-off scenarios. Relevant indicators were defined to assess the performance of systems and safety barriers. Indicator trends were simulated for a period of 30 years. The database includes all the simulated indicator values transformed into their derivative with respect to time t as inputs xi to the machine learning model. Since the simulated wellhead damage frequency Freq is an expression of the scenario probability p, and, in turn, the risk R, for constant scenario s and consequence c, we can state that: dFreq/dt≈dR/dt After Freq is also transformed into its derivative with respect to time t, a label y indicating frequency/risk increase or decrease is added to the database. Two datasets created from the overall database can be also found: 1. Training dataset used to train the DNN model, with 2/3 of the xi and associated y values (160), and 2. Test dataset used to test the DNN model, with about 1/3 of the xi and associated y values (79).
DOI: 10.17632/ztvkk9ttks.1
title: Data for: Depositional model for banded iron formation host to gold in the Archean Rio das Velhas greenstone belt, Brazil, based on geochemistry and LA-ICP-MS magnetite analyses
DOI: 10.18112/openneuro.ds000158.v1.0.0
title: The human Voice Areas: spatial organisation and inter-individual variability in temporal and extra-temporal cortices
DOI: 10.7910/dvn/hhnedv/5tkbkl
title: narnia.tab

description: Leaf-footed cactus bug
DOI: 10.7910/dvn/hhnedv/9yr7tu
title: stag_measures.tab

description: Indonesian stag beetle
DOI: 10.7910/dvn/hhnedv/rwjwbn
title: sagra.csv

description: Frog legged beetle
DOI: 10.7910/dvn/hhnedv/sqxz5e
title: Eurycantha MR complete.tab

description: Thorny devil stick insect
DOI: 10.7910/dvn/hhnedv/uqpnxo
title: tryp.tab

description: Japanese rhinoceros beetle
DOI: 10.18739/a2t727g0z
title: Bathymetric data from GTH153 Lake, Toolik Field Station, Alaska (2006)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks. Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from US and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation and the Institute of Arctic Biology, UAF in 2001 (NSF Award No. 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and GPS support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.18739/a2z02z837
title: Bathymetric data from E4 Lake, Toolik Field Station, Alaska (2006)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks. Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from US and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation and the Institute of Arctic Biology, UAF in 2001 (NSF Award No. 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and GPS support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.7910/dvn/hhnedv/678ymh
title: F_pureroa.tab

description: New Zealand Long-legged harvestmen
DOI: 10.7910/dvn/hhnedv/scy8go
title: lep.csv

description: Heliconia bug
DOI: 10.7910/dvn/hhnedv/tspphn
title: rhino_muscle_male.tab

description: Japanese rhinoceros beetle muscle mass
DOI: 10.7910/dvn/wlcsmi/hckmgh
title: 1. a-CT.xlsx

description: :unav
DOI: 10.17632/5rfyr5y248.1
title: Investigation on the corrosion mechanism of the water-wall tube in the KIVCET waste heat boiler

description: This database includes the main resuls of the metallographic analysis of the failed water-wall tube.
DOI: 10.7910/dvn/wlcsmi/fbeqis
title: 2. b-CT.xlsx

description: :unav
DOI: 10.7910/dvn/wlcsmi/jhlxuw
title: 4. Control-3 hours.xlsx

description: :unav
DOI: 10.7910/dvn/wlcsmi/mrbwv7
title: 3. Control-0 hours.xlsx

description: :unav
DOI: 10.7910/dvn/wlcsmi/vt3pbe
title: 5. Extenders-a vs b.xlsx

description: :unav
DOI: 10.18739/a2ht2gb61
title: Bathymetric data from GTH86 Lake, Toolik Field Station, Alaska (2006)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.18739/a2nk3650s
title: Bathymetric data from GTH153 Lake, Toolik Field Station, Alaska (2006)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.18739/a2sb3wz3n
title: Bathymetric data from E4 Lake, Toolik Field Station, Alaska (2006)

description: Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.
DOI: 10.5281/zenodo.2592148
title: HaterNet a system for detecting and analyzing hate speech in Twitter

description: This dataset consists of  two corpuses used in the paper "Detecting and analyzing hate speech in Twitter: HaterNet a system in the Spanish prevention of hate crime office". A first one based on tweets collected at different random dates between February 2017 and December 2017 with a final size of 2 million tweets. A second one with 6,000 tweets labeled as described in the paper as hate containing or not.
DOI: 10.17632/t52zj2z6y7.1
title: Code of fuzzy Bayes risk model

description: Introduction: This main idea of this code is selecting features with relative lower risk by using a fuzzy Bayes risk model. In Ref. [2], we proposed a fuzzy Bayes risk model for weight assignment in Labeled Multiple Attribute Decision Making (LMADM) that is firstproposed in our methodology. Then, we revised it and expended it to select optimal feature subset, see Ref. [1]. This is the main access function, just run it in Matlab. Please cite the above two references when you use it everywhere. If you have any questions, please contact me via Email: suozi@buaa.edu.cn 2020.07.29 Ref. [1] https://doi.org/10.1016/j.ast.2018.11.049 Ref. [2] https://doi.org/10.1016/j.knosys.2018.04.002