cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/8b7fbf49-fd41-4bf4-b0e1-9157581625d9
title: Upper Slope South Pan Tilt Lights Deployed 2019-09-07

description: The ROS PT-25FB 10294 was deployed on 2019-09-07 at Upper Slope South. Upper Slope South is a location within Barkley Canyon, which is located on the upper continental slope. This device is a Pan Tilt Lights. Pan Tilt Lights are used for cameras and allow remotely controlled operations such as changing the camera's field of view and illuminating the subject matter. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b48f6057-4313-4aba-a47c-7d9253d94765
title: Upper Slope South Pan Tilt Lights Deployed 2019-09-07

description: The ROS PT-25 Ti 10294 was deployed on 2019-09-07 at Upper Slope South. Upper Slope South is a location within Barkley Canyon, which is located on the upper continental slope. This device is a Pan Tilt Lights. Pan Tilt Lights are used for cameras and allow remotely controlled operations such as changing the camera's field of view and illuminating the subject matter. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.8157120
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Auguste Huguenin, http://www.wikidata.org/entity/Q21516637. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516637
DOI: 10.5281/zenodo.8157119
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Auguste Huguenin, http://www.wikidata.org/entity/Q21516637. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21516637
DOI: 10.15472/vz1p4e
title: Checklist of Opiliones from the Caribbean region of Colombia

description: This resource presents the checklist of the species from the order Opiliones (Arachnida) collected in the Caribbean region of Colombia, founded during the revision of entomological collections in Colombia. In this checklist nine families, 18 genera and 30 species are reported. This information was gathered from the main catalogs related to the group of the most recent literature. References of all original descriptions and taxonomy revision documents are also included in the bibliography.
DOI: 10.5281/zenodo.7947677
title: Datasets for "GABAergic miR-34a regulates Dorsal Raphè inhibitory transmission in response to aversive, but not rewarding, stimuli"

description: Datasets for "GABAergic miR-34a regulates Dorsal Raphè inhibitory transmission in response to aversive, but not rewarding, stimuli"
DOI: 10.5281/zenodo.7947676
title: Datasets for "GABAergic miR-34a regulates Dorsal Raphè inhibitory transmission in response to aversive, but not rewarding, stimuli"

description: Datasets for "GABAergic miR-34a regulates Dorsal Raphè inhibitory transmission in response to aversive, but not rewarding, stimuli"
DOI: 10.5281/zenodo.7383239
title: Strengthened PM2.5 air quality improvement and health benefits by synergies of carbon peak, carbon neutrality, and clean air policies in China

description: Dataset and code used in this research: (1) emission, major air pollutants (i.e., SO2, NOx, PM25, NMVOCs, NH3), and CO2 emissions during 2020-2060 under the scenario ensembles (i.e., reference, clean air, on-time peak-clean air, on-time peak-net zero-clean air, early peak-net zero-clean air). (2) PM2.5 exposure (NetCDF, 0.1×0.1), future PM2.5 concentrations (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles, re-gridded from the corresponding CMAQ simulations. (3) population, future population grid under the SSP1 scenario, re-gridded from SSP Datasets (http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/). (4) death, PM2.5-related premature deaths (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles. (5) code for premature death calculation, with the method of GBD2019. (6) code for re-grid PM2.5 concentrations from CMAQ output.
DOI: 10.5281/zenodo.7383238
title: Strengthened PM2.5 air quality improvement and health benefits by synergies of carbon peak, carbon neutrality, and clean air policies in China

description: Dataset and code used in this research: (1) emission, major air pollutants (i.e., SO2, NOx, PM25, NMVOCs, NH3), and CO2 emissions during 2020-2060 under the scenario ensembles (i.e., reference, clean air, on-time peak-clean air, on-time peak-net zero-clean air, early peak-net zero-clean air). (2) PM2.5 exposure (NetCDF, 0.1×0.1), future PM2.5 concentrations (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles, re-gridded from the corresponding CMAQ simulations. (3) population, future population grid under the SSP1 scenario, re-gridded from SSP Datasets (http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/). (4) death, PM2.5-related premature deaths (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles. (5) code for premature death calculation, with the method of GBD2019. (6) code for re-grid PM2.5 concentrations from CMAQ output.
DOI: 10.6084/m9.figshare.23699484
title: Protein-variant count

description: Provides count of variants in each of human proteins (dataset part of a lager study). Refer the project for more details.
DOI: 10.6084/m9.figshare.23699484.v1
title: Protein-variant count

description: Provides count of variants in each of human proteins (dataset part of a lager study). Refer the project for more details.
DOI: 10.6084/m9.figshare.23699484.v2
title: Protein-variant count

description: Provides count of variants in each of human proteins (dataset part of a lager study). Refer the project for more details.
DOI: 10.5281/zenodo.8157148
title: Módulo I: teorías de la lectura y niveles de comprensión, mandatos PISA 2018-2022

description: Planificación de contenidos preliminares, módulo de diplomado, diseño y validación para posible maestría en lectura,para profesores de Bolivia, diseñado por Claudia Vaca. Diseño para el Observatorio de Educación de la Universidad Mayor de San Andrés (UMSA), coordinado por Victor Hugo Quitanilla.
DOI: 10.5281/zenodo.8157149
title: Módulo I: teorías de la lectura y niveles de comprensión, mandatos PISA 2018-2022

description: Planificación de contenidos preliminares, módulo de diplomado, diseño y validación para posible maestría en lectura,para profesores de Bolivia, diseñado por Claudia Vaca. Diseño para el Observatorio de Educación de la Universidad Mayor de San Andrés (UMSA), coordinado por Victor Hugo Quitanilla.
DOI: 10.5281/zenodo.8157163
title: Módulo I: teorías de la lectura y niveles de comprensión, mandatos PISA 2018-2022

description: Planificación de contenidos preliminares, módulo de diplomado, diseño y validación para posible maestría en lectura,para profesores de Bolivia, diseñado por Claudia Vaca. Diseño para el Observatorio de Educación de la Universidad Mayor de San Andrés (UMSA), coordinado por Victor Hugo Quitanilla.
DOI: 10.5519/qd.jyfmp1ce
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13544 records)
DOI: 10.5519/qd.kqoqt54k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13544 records)
DOI: 10.5066/p9esqiav
title: High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar

description: Canopy density and canopy structure metrics were derived for the San Juan Mountains of southwest Colorado from aerial point cloud data at a 1-meter (m) resolution. The aerial lidar data originated from the ?CO_Southwest_NRCS_2018? project prepared by Quantum Spatial for the U.S. Geological Survey (USGS) from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north. These data were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL. Each grid cell was portioned into 4 groups: (1) forest area; (2) open area; (3) forest edginess with a southern aspect; and (4) forest edginess with a northern aspect. The percentage of each group was quantified for each 100 m grid and values of canopy metrics for each group at each 100-meter grid cell were defined. These values include the mean, median standard deviation, 25 percent quantile, 75% quantile, and skewness of the 1m data for the 100m grid.
DOI: 10.5517/ccdc.csd.cc2ddp3m
title: CCDC 2216720: Experimental Crystal Structure Determination

description: Related Article: Jinling Wang, Xiaohui Liu, Zhihan Chang, Na Xu, Xiuli Wang|2023|CrystEngComm|25|3953|doi:10.1039/D3CE00517H
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.cc2f4zrb
title: CCDC 2239122: Experimental Crystal Structure Determination

description: Related Article: Ivan V. Khariushin, Alexander S. Ovsyannikov, Daut R. Islamov, Aida I. Samigullina, Svetlana E. Solovieva, Jakub J. Zakrzewski, Szymon Chorazy, Sylvie Ferlay|2023|Inorg.Chem.|62|10548|doi:10.1021/acs.inorgchem.3c00433
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.cc2f4zsc
title: CCDC 2239123: Experimental Crystal Structure Determination

description: Related Article: Ivan V. Khariushin, Alexander S. Ovsyannikov, Daut R. Islamov, Aida I. Samigullina, Svetlana E. Solovieva, Jakub J. Zakrzewski, Szymon Chorazy, Sylvie Ferlay|2023|Inorg.Chem.|62|10548|doi:10.1021/acs.inorgchem.3c00433
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.cc2f4ztd
title: CCDC 2239124: Experimental Crystal Structure Determination

description: Related Article: Ivan V. Khariushin, Alexander S. Ovsyannikov, Daut R. Islamov, Aida I. Samigullina, Svetlana E. Solovieva, Jakub J. Zakrzewski, Szymon Chorazy, Sylvie Ferlay|2023|Inorg.Chem.|62|10548|doi:10.1021/acs.inorgchem.3c00433
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.cc2f5tr6
title: CCDC 2239928: Experimental Crystal Structure Determination

description: Related Article: Parvathavarthini Murugaperumal, Praveena Rajendran, Sengottuvelan Nallathambi, Siva Ayyanar, Franc Perdih, Ashokkumar Balasubramaniem, Arun Alagarsamy|2023|New J.Chem.|47|13342|doi:10.1039/D3NJ02444J
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.cc2fbsvf
title: CCDC 2244705: Experimental Crystal Structure Determination

description: Related Article: Rubi Moral, Oiyao Appun Pegu, Gopal Das|2023|Dyes Pigm.|218|111502|doi:10.1016/j.dyepig.2023.111502
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.cc2fbswg
title: CCDC 2244706: Experimental Crystal Structure Determination

description: Related Article: Rubi Moral, Oiyao Appun Pegu, Gopal Das|2023|Dyes Pigm.|218|111502|doi:10.1016/j.dyepig.2023.111502
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.cc2fdw2t
title: CCDC 2246696: Experimental Crystal Structure Determination

description: Related Article: Abdelsamed I. Elshamy, Tarik A. Mohamed, Ningombam Swapana, Yusuke Kasai, Masaaki Noji, Thomas Efferth, Hiroshi Imagawa, Mohamed-Elamir F. Hegazy, Akemi Umeyama|2023|RSC Advances|13|19710|doi:10.1039/D3RA03146B
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.8157205
title: Dataset for "Large scale patterns and drivers of the diving behavior of large pelagic predators"

description: This dataset comprises 694 independent diving depth estimates of large pelagic predators extracted from 101 tagging studies. For both daytime and nighttime observations, two unambiguous quantities were reported: 1) the preferred diving depth (D<sub>pref</sub>), representative of the approximate depth at which individuals spend most of the time, or in other words a mean representative depth; and (2) the preferred diving depth range (ΔD<sub>pref</sub>), representative of the portion of the water column where individuals are most commonly recorded by the tags, or, in other words, the vertical range over which they are most commonly observed. Alongside the diving depth data, three additional types of information were extracted to co-locate diving depth observations with environmental variables, and to account for potential ontogenetic behavioral effects. These additional pieces of information include the location and period of the observations, and a representative size of the tagged individual or group of individuals. The extraction process was replicated by two separate analysts to ensure accuracy and reliability. For further details on the dataset and extraction procedure, refer to the manuscript "<em>Large scale patterns and drivers of the diving behavior of large pelagic predators"</em>.
DOI: 10.5281/zenodo.8157204
title: Dataset for "Large scale patterns and drivers of the diving behavior of large pelagic predators"

description: This dataset comprises 694 independent diving depth estimates of large pelagic predators extracted from 101 tagging studies. For both daytime and nighttime observations, two unambiguous quantities were reported: 1) the preferred diving depth (D<sub>pref</sub>), representative of the approximate depth at which individuals spend most of the time, or in other words a mean representative depth; and (2) the preferred diving depth range (ΔD<sub>pref</sub>), representative of the portion of the water column where individuals are most commonly recorded by the tags, or, in other words, the vertical range over which they are most commonly observed. Alongside the diving depth data, three additional types of information were extracted to co-locate diving depth observations with environmental variables, and to account for potential ontogenetic behavioral effects. These additional pieces of information include the location and period of the observations, and a representative size of the tagged individual or group of individuals. The extraction process was replicated by two separate analysts to ensure accuracy and reliability. For further details on the dataset and extraction procedure, refer to the manuscript "<em>Large scale patterns and drivers of the diving behavior of large pelagic predators"</em>.
DOI: 10.5519/qd.muf6yloy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (41 records)
DOI: 10.25345/c54q7r125
title: MassIVE MSV000092461 - PSM rescoring boosts immunopeptide identification on timsTOF compared to Orbitrap
title: To compare the rescoring performance on Orbitrap versus timsTOF data, we utilized a comparison dataset comprising both HLA-I and HLA-II peptides measured on an Orbitrap and on a timsTOF. For detailed information on data acquisition, please refer to the original publication by Gravel et al. (PXD038782). In brief, 10 samples were measured in technical triplicate (two technical replicates for the HNSCC sample) on the Orbitrap Fusion Lumos mass spectrometer (Thermo Fisher Scientic, Waltham, USA) and on the timsTOF Pro (Bruker Daltonik, Germany). Individual spectrum peak files were searched against a database containing 20,598 human UniProt entries downloaded from https://www.ebi.ac.uk/reference_proteomes/ with MaxQuant version 2.0.3.1 and rescored by integrating Prosit's fragment ion intensity predictions, using Oktoberfest (https://github.com/wilhelm-lab/oktoberfest). To perform rescoring on the Orbitrap data we employed the 2020 CID Prosit model with a CE set to 35 for HLA-I peptides, and the 2020 HCD Prosit model with CE set to 30 for the HLA-II peptides. For timsTOF data, rescoring was performed using the TOF Prosit 2023 model with the reported CEs for each PSM. Rescoring the Orbitrap data resulted in on average 2.5-fold more unique HLA-I peptides and 1.4-fold more unique HLA-II peptides. In contrast, rescoring timsTOF data resulted in a higher increase, with on average 2.8-fold more unique HLA-I peptides and 1.7-fold more unique HLA-II peptides.
DOI: 10.25345/c50z7168s
title: MassIVE MSV000092462 - Reanalyzed tryptic MS/MS spectra to develop a fragment ion intensity prediction model for timsTOF
title: The "proteotypic" synthetic peptide set from ProteomeTools, covering confidently and frequently identified proteins (124,875 peptides covering 15,855 human annotated genes), was obtained by Meier et al. (PXD019086). The raw Bruker data from synthetic peptides from ProteomeTools were analyzed with MaxQuant version 2.1.2.0. Individual spectrum peak files were searched against pool-specific databases. Default parameters were used, unless mentioned otherwise: carbamidomethylated cysteine was specified as a fixed modification and methionine oxidation as a variable modification. The minimal sequence length was set to 7 and the maximum sequence length was set to the maximum length of peptides in the pool.
DOI: 10.5281/zenodo.8157222
title: eupentacta_quinquesemita_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8157221
title: eupentacta_quinquesemita_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7391631
title: Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.7391630
title: Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.7444271
title: Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton
DOI: 10.5281/zenodo.8140096
title: Discrete Flow Cytometry of Depth Profile Samples from the Gradients 4 (2021) Cruise Using a BD Influx Cell Sorter

description: The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected during the Gradients 2021 (Gradients 4/TN397) oceanographic research cruise in the equatorial Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for heterotrophic bacteria, picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (&lt;5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton