cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1122974.09fu
title: SH1122974.09FU

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/sh1122975.09fu
title: SH1122975.09FU

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/sh1122976.09fu
title: SH1122976.09FU

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/sh1122977.09fu
title: SH1122977.09FU

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/sh1122978.09fu
title: SH1122978.09FU

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/sh1122979.09fu
title: SH1122979.09FU

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/sh1122980.09fu
title: SH1122980.09FU

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/sh1122981.09fu
title: SH1122981.09FU

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/sh1122982.09fu
title: SH1122982.09FU

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: 10.25345/c5rf5kr51
title: MassIVE MSV000091700 - TBC_0_48_all_modify_raw_20230413
title: After different processing times of Aconitum pendulum Bush, UPLC-Q-TOF-MS was used for detection.
DOI: 10.6084/m9.figshare.20425839
title: So-git experiment

description: So-git experiment
DOI: 10.6084/m9.figshare.20425839.v2
title: So-git experiment

description: So-git experiment
DOI: 10.3886/e108801v1-136240
title: A Qualitative Investigation of Black Students' Perceptions of School Racial Climate

description: In Spring 2013, Christy Byrd and two graduate student researchers interviewed Black students at a predominantly Black school in an urban area in Michigan. Participants were first in a focus group and then completed an individual interview 2-3 weeks later. In the focus group, participants were asked to describe how people at school got along across racial and cultural lines and what they learned about race and culture. In the individual interview, they were asked if they had thought of anything else since the focus group and what it was like being a Black student at the school. The participants were paid $10 for each interview and selected their own pseudonyms.<br><br>According to state data, the school is 84% non-Hispanic Black or African American and 14% Hispanic. About 85% of the school’s students were eligible for free or reduced lunch. The school served about 800 students in grades 7 through 12. Demographic information for staff indicated that 28% of teachers and 64% of administrators were African American; 59% of teachers and 27% of administrators were White; 4% of teachers and 0% of administrators were Hispanic/Latino.<br>
description: All participants at the high school were invited to participate in a study on "diversity in their school". Those who returned parent consent forms were scheduled for interviews.
description: Black high school students.
description: face-to-face interview;
DOI: 10.6084/m9.figshare.22297757
title: ‘No-one visits me anymore’: Low Emission Zones and social exclusion via sustainable transport policy

description: For many years, the literature has pointed to the difficulties with the development of transport policy measures which meet both social and environmental policy objectives. Low Emission Zones (LEZ) offer an interesting example of measures that aim to decrease traffic-related air pollution, but which might have significant social effects by reducing the mobility of vulnerable, car-dependent groups. The Antwerp LEZ (Belgium) is used as a case. The assumptions and views in policy documents were compared with the experiences of some affected persons. The research challenges the assumption that only households with a non-compliant vehicle living in the LEZ are impacted by the measure since the LEZ may have a social impact well beyond the delimited zone. Some people with their residence in the LEZ expressed the feeling that they put a burden on friends and relatives from outside the zone who want to visit them. Furthermore, the LEZ affects low-income car owners with an older, damage-prone vehicle that is allowed to enter the zone, by making replacement vehicles less affordable. In general, the case reveals how the views and experiences of those most likely affected by the policy measure are not fully taken into account.
DOI: 10.6084/m9.figshare.22297757.v1
title: ‘No-one visits me anymore’: Low Emission Zones and social exclusion via sustainable transport policy

description: For many years, the literature has pointed to the difficulties with the development of transport policy measures which meet both social and environmental policy objectives. Low Emission Zones (LEZ) offer an interesting example of measures that aim to decrease traffic-related air pollution, but which might have significant social effects by reducing the mobility of vulnerable, car-dependent groups. The Antwerp LEZ (Belgium) is used as a case. The assumptions and views in policy documents were compared with the experiences of some affected persons. The research challenges the assumption that only households with a non-compliant vehicle living in the LEZ are impacted by the measure since the LEZ may have a social impact well beyond the delimited zone. Some people with their residence in the LEZ expressed the feeling that they put a burden on friends and relatives from outside the zone who want to visit them. Furthermore, the LEZ affects low-income car owners with an older, damage-prone vehicle that is allowed to enter the zone, by making replacement vehicles less affordable. In general, the case reveals how the views and experiences of those most likely affected by the policy measure are not fully taken into account.
DOI: 10.6084/m9.figshare.21529488
title: Gap free genome assembly of anadromous Chinese tapertail anchovy, Coilia nasus

description: The gap free genome assembly and gene annotation of Coilia nasus
DOI: 10.6084/m9.figshare.21529488.v1
title: Gap free genome assembly of anadromous Chinese tapertail anchovy, Coilia nasus

description: The gap free genome assembly and gene annotation of Coilia nasus
DOI: 10.15121/1778857
title: Brady's Geothermal Field - March 2016 Vibroseis SEG-Y Files and UTM Locations

description: PoroTomo March 2016 Updated vibroseis source locations with UTM locations. Supersedes gdr.openei.org/submissions/824. Updated vibroseis source location data for Stages 1-4, PoroTomo March 2016. This revision includes source point locations in UTM format (meters) for all four Stages of active source acquisition. Vibroseis sweep data were collected on a Signature Recorder unit (mfr Seismic Source) mounted in the vibroseis cab during the March 2016 PoroTomo active seismic survey Stages 1 to 4. Each sweep generated a GPS timed SEG-Y file with 4 input channels and a 20 second record length. Ch1 = pilot sweep, Ch2 = accelerometer output from the vibe's mass, Ch3 = accel output from the baseplase, and Ch4 = weighted sum of the accelerometer outputs. SEG-Y files are available via the links below. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
DOI: 10.5281/zenodo.7824042
title: Phanus vitreus - wing transparency optics

description: This record includes raw data underlying the publication entitled "<strong>Multi-scale dissection of wing transparency in the clearwing butterfly <em>Phanus vitreus</em></strong>" by Finet <em>et al.</em> 2023. The data are empirical (reflectance spectra, absorbance spectra, transmittance spectra, contact angles) or output files generated through optical simulations.
DOI: 10.5519/qd.lrrpmgzu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.26185/642cce7ae634e
title: MeerTime - MeerKAT Pulsar Timing Array

description: The MeerTime project is a five-year program on the MeerKAT array by an international consortium that will regularly time over 1000 radio pulsars to perform tests of relativistic gravity, search for the gravitational wave signature induced by supermassive black hole binaries in the timing residuals of millisecond pulsars, explore the interiors of neutron stars through a pulsar glitch monitoring programme, explore the origin and evolution of binary pulsars, monitor the swarms of pulsars that inhabit globular clusters and monitor radio magnetars. Raw and processed data will be held in the collection and managed by the Gravitational Wave Data Centre (GWDC). This DOI refers to the data repository stored on the OzSTAR supercomputer at ozstar.swin.edu.au:/fred/oz005/. You can contact the data owner if you would like to discuss becoming a collaborator to gain access to this data. <br> MeerTime public data is also accessible to all astronomers and the public from anywhere they can access the internet through this data portal at pulsars.org.au
DOI: 10.17909/kpeq-7f09
title: JWST Extragalactic Medium band Survey (JEMS)
DOI: 10.6084/m9.figshare.22358107
title: The detailed parameters of test systems

description: The detailed parameters of test systems
DOI: 10.6084/m9.figshare.22358107.v2
title: The detailed parameters of test systems

description: The detailed parameters of test systems
DOI: 10.6084/m9.figshare.22358107.v1
title: The detailed parameters of test systems

description: The detailed parameters of test systems
DOI: 10.5281/zenodo.7709997
title: Data from: Effects of tree functional traits on soil respiration in tropical forest plantations

description: The study covers four plantations stands of Acacia auriculiformis (A), Eucalyptus urophylla (E), Hopea odorata (H), and X. xylocarpa (X) through a sample plot (50 m x 50 m) in each stand from July 2015 until June 2016. Physical and chemical soil properties were collected at two depths (0-15 cm, 15-30 cm) at the beginning of the study (soil_properties_initial.csv). Additional samplings of topsoil pH, bulk density (BD, g cm-3), organic matter (OM, %), total carbon (TC, %), and nitrogen (TN, %) were conducted monthly (mo_yr) at five random locations (soil_properties_month.csv). Soil respiration (SR) was measured at the beginning of each month (mo_yr) at 12 locations (Point) within each species sample plot (Species) for ten hours (h_time) simultaneously with soil temperature (ST, C), air temperature (AT, C), relative humidity (RH), and soil moisture (SM, %) (soil_respiration.csv). The location of each soil respiration measurement point within the sample plots is provided as well (soil_respiration_location.csv). All trees within each sample plot were mapped (X, Y) and their stem basal area (BA_cm2) and height (H) were measured (stand_inventories.csv).
DOI: 10.5281/zenodo.7709996
title: Data from: Effects of tree functional traits on soil respiration in tropical forest plantations

description: The study covers four plantations stands of Acacia auriculiformis (A), Eucalyptus urophylla (E), Hopea odorata (H), and X. xylocarpa (X) through a sample plot (50 m x 50 m) in each stand from July 2015 until June 2016. Physical and chemical soil properties were collected at two depths (0-15 cm, 15-30 cm) at the beginning of the study (soil_properties_initial.csv). Additional samplings of topsoil pH, bulk density (BD, g cm-3), organic matter (OM, %), total carbon (TC, %), and nitrogen (TN, %) were conducted monthly (mo_yr) at five random locations (soil_properties_month.csv). Soil respiration (SR) was measured at the beginning of each month (mo_yr) at 12 locations (Point) within each species sample plot (Species) for ten hours (h_time) simultaneously with soil temperature (ST, C), air temperature (AT, C), relative humidity (RH), and soil moisture (SM, %) (soil_respiration.csv). The location of each soil respiration measurement point within the sample plots is provided as well (soil_respiration_location.csv). All trees within each sample plot were mapped (X, Y) and their stem basal area (BA_cm2) and height (H) were measured (stand_inventories.csv).
DOI: 10.25901/zbc0-p368
title: Alice Mulga Site, Digital Elevation Model, 2014
DOI: 10.5517/ccdc.csd.cc23svb3
title: CCDC 1960295: Experimental Crystal Structure Determination

description: Related Article: Ganesh S. Ghotekar, Ravi A. Shinde, Sagar S. Saswade, M. Muthukrishnan|2023|J.Org.Chem.|88|4112|doi:10.1021/acs.joc.2c02457
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.cc2bt219
title: CCDC 2169040: Experimental Crystal Structure Determination

description: Related Article: Samina Easmin, Venkateswara Rao Pedireddi|2023|Cryst.Growth Des.|23|2802|doi:10.1021/acs.cgd.3c00004
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.cc2bt22b
title: CCDC 2169041: Experimental Crystal Structure Determination

description: Related Article: Samina Easmin, Venkateswara Rao Pedireddi|2023|Cryst.Growth Des.|23|2802|doi:10.1021/acs.cgd.3c00004
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: 10.5281/zenodo.7824082
title: Data for samples #090 and #084

description: Data for samples #090 and #084
DOI: 10.5281/zenodo.7824081
title: Data for samples #090 and #084

description: Data for samples #090 and #084
DOI: 10.5281/zenodo.7824086
title: Data for samples #090 and #084

description: Data for samples #090 and #084.
DOI: 10.5281/zenodo.7824085
title: Data for samples #090 and #084

description: Data for samples #090 and #084.
DOI: 10.5281/zenodo.7824094
title: Dataset for samples #090 and #084

description: Dataset for samples #090 and #084.
DOI: 10.5281/zenodo.7824093
title: Dataset for samples #090 and #084

description: Dataset for samples #090 and #084.