cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fjwnj
title: CCDC 2250558: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Julian Radtke, Matthias Wagner|2023|CSD Communication|||
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.cc2fjwpk
title: CCDC 2250559: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Julian Radtke, Matthias Wagner|2023|CSD Communication|||
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.cc2fjwql
title: CCDC 2250560: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Julian Radtke, Matthias Wagner|2023|CSD Communication|||
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.cc2fjw51
title: CCDC 2250543: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjw62
title: CCDC 2250544: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjw73
title: CCDC 2250545: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjw84
title: CCDC 2250546: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjw95
title: CCDC 2250547: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjwb6
title: CCDC 2250548: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjwc7
title: CCDC 2250549: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Isabelle Georg, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtph
title: CCDC 2250497: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtqj
title: CCDC 2250498: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtrk
title: CCDC 2250499: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtsl
title: CCDC 2250500: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjttm
title: CCDC 2250501: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtvn
title: CCDC 2250502: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtwp
title: CCDC 2250503: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Thomas Kaese, Matthias Wagner|2023|CSD Communication|||
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.cc2fjtxq
title: CCDC 2250504: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Julian Massoth, Matthias Wagner|2023|CSD Communication|||
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.cc2fjv0v
title: CCDC 2250507: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Tanja Kaehler, Matthias Wagner|2023|CSD Communication|||
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.cc2fjv1w
title: CCDC 2250508: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte, Tanja Kaehler, Matthias Wagner|2023|CSD Communication|||
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: 10.5519/qd.d2jeub26
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (363 records)
DOI: 10.6073/pasta/a8ed3a6a7b88bb6dea3f789b4e5bed87
title: Interagency Ecological Program: Benthic invertebrate monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 1975-2022.

description: The Interagency Ecological Program’s (IEP) Environmental Monitoring Program (EMP) was initiated in compliance with the Water Right Decision D-1379 (now mandated by Water Right Decision D-1641) and has monitored benthic invertebrate macrofauna in the upper San Francisco Estuary (SFE) since 1975. The objectives of the EMP are to obtain consistent and accurate monthly data at established monitoring stations and to report this information for the purpose of management and conservation of the upper San Francisco Estuary. While the EMP also collects discrete and continuous water quality data, along with phytoplankton and zooplankton data, this dataset only includes the benthic invertebrate data collected by the EMP from 1975-2022. EMP monitors invertebrate communities in the benthos of the SFE by collecting dredge samples with a Ponar sampler. Sediment and particles smaller than 0.5mm are removed from the sample using a sieve table. The invertebrates present are preserved in formalin, identified to the lowest possible taxonomic level, and enumerated. Currently, samples are collected monthly at 10 sites across the range of salinities found in the SFE. Four replicate dredge samples are collected at each site. The frequency of sampling, number and identity of sampling sites, and number of replicate samples has changed through the 45+ years of monitoring effort, in response to changes in perceived need for data. Links to other EMP datasets can be found on the EMP website: https://emp-des.github.io/emp-reports/data-links.html.
DOI: 10.5281/zenodo.7807054
title: malacoctenus_tetranemus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7807053
title: malacoctenus_tetranemus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.25919/3dac-4131
title: Parkes observations for project P1167 semester 2022OCTS_07

description: The Galactic centre region has huge discovery potential. We know of pulsars, molecular lines, masers and transient sources all in that area. The discovery of a pulsar around the central black hole, or completely new spectral features (possibly from dark matter) would be of enormous scientific interest. We propose a sensitive survey of a 1 degree region around the Galactic centre in which we simultaneously record data streams that will allow us to search for transient objects and spectral lines. We will base our observing strategy from our recent, commensal, survey of Baade's window.
DOI: 10.25919/401v-8951
title: Parkes observations for project P990 semester 2021OCTS_08

description: The only published instance of natural, fast-switching, stimulated OH emission was observed toward PSR B1641-45. Without having to move the beam, the natural ON and OFF signals in the time-domain from a pulsar were successfully utilized as a unique tool for probing microphysics as well as ISM structures. The amplification of pulsar photons by intervening gas, presumably with non-LTE excitation, also demonstrate a feasible principle for interstellar communication by extraterrestrial intelligence. Recently, we have carried out systematic studies of OH and CH ?-doubling transitions, showing that they both well trace the so-called “dark-molecular-gas”. The similarity in their astrochemical conditions, distribution, and energy level structures, motivate us to try to detect stimulated emission in CH, toward a small sample of sources showing OH absorption against pulsars. If successful, this will be the 2nd such detection as well as the first in a species other than OH. We have successfully processed UWL baseband data to confirm Weisberg et al. (2005) results with potential new results, and thus confident of the feasibility of the proposed observations. We thus propose to obtain emission, absorption, and stimulated emission of HI, OH, and CH, simultaneously. A combined analysis of stimulated emission (or non-detection) with multiple other emission/absorption components in the Parkes beam, will significant improve our understanding of ISM.
DOI: 10.6084/m9.figshare.21516999
title: Source data for Manuscript "Restoring striatal D2- to D1-neuron correspondence re-enables the cognitive control of action in ageing"

description: BEHAVIOURAL DATA Med-PC software was used to direct the insertion and retraction of the levers, illumination of the light and delivery of the pellets. The software allowed the recording of timestamp events each 10 msec, including the number of lever presses, magazine entries and food pellets delivered throughout the duration of the experiment. A combination of Med State Notation language and customized MATLAB (MathWorks, Natick, MA) scripts were used to retrieve timestamp data. Individual events (left or right lever press, magazine entries, and pellet delivery) that occurred during each training session were recorded. The time at which each event occurred was stamped with a 10 ms resolution. IMAGING DATA Fluorescent brain sections were imaged using a spinning disk confocal system equipped with the Diskovery multi-modal imaging platform (Andor Technology) and a Zyla 4.2 sCMOS camera (Andor Technology), that allows fast capture of large mosaic images and high-sensitivity high dynamic range imaging. The Diskovery platform was added to a Nikon Eclipse TiE microscope body with a motorized stage and the Nikon Perfect Focus System, and image acquisition was controlled by Nikon NIS-Elements software. Single high-magnification wide field-of-view images for each brain hemisphere were generated by automatically stitching multiple adjacent frames from within a defined area using the motorized stage. High-resolution mosaics of brain samples obtained with NIS-Elements were quantitatively analyzed using Fiji software. Resulting neuronal data, including position (x, y coordinates), area and mean grey value of the eGFP channel for each detected ROI, were exported in a tab-delimited spreadsheet format and imported into MATLAB.
DOI: 10.6084/m9.figshare.21516999.v1
title: Source data for Manuscript "Restoring striatal D2- to D1-neuron correspondence re-enables the cognitive control of action in ageing"

description: BEHAVIOURAL DATA Med-PC software was used to direct the insertion and retraction of the levers, illumination of the light and delivery of the pellets. The software allowed the recording of timestamp events each 10 msec, including the number of lever presses, magazine entries and food pellets delivered throughout the duration of the experiment. A combination of Med State Notation language and customized MATLAB (MathWorks, Natick, MA) scripts were used to retrieve timestamp data. Individual events (left or right lever press, magazine entries, and pellet delivery) that occurred during each training session were recorded. The time at which each event occurred was stamped with a 10 ms resolution. IMAGING DATA Fluorescent brain sections were imaged using a spinning disk confocal system equipped with the Diskovery multi-modal imaging platform (Andor Technology) and a Zyla 4.2 sCMOS camera (Andor Technology), that allows fast capture of large mosaic images and high-sensitivity high dynamic range imaging. The Diskovery platform was added to a Nikon Eclipse TiE microscope body with a motorized stage and the Nikon Perfect Focus System, and image acquisition was controlled by Nikon NIS-Elements software. Single high-magnification wide field-of-view images for each brain hemisphere were generated by automatically stitching multiple adjacent frames from within a defined area using the motorized stage. High-resolution mosaics of brain samples obtained with NIS-Elements were quantitatively analyzed using Fiji software. Resulting neuronal data, including position (x, y coordinates), area and mean grey value of the eGFP channel for each detected ROI, were exported in a tab-delimited spreadsheet format and imported into MATLAB.
DOI: 10.6084/m9.figshare.22567834
title: Limitation of molecular twisting: Upgrading a donor-acceptor dye to drive H2 evolution

description: data for Limitation of molecular twisting: Upgrading a donor-acceptor dye to drive H2 evolution
DOI: 10.6084/m9.figshare.22567834.v2
title: Limitation of molecular twisting: Upgrading a donor-acceptor dye to drive H2 evolution

description: data for Limitation of molecular twisting: Upgrading a donor-acceptor dye to drive H2 evolution
DOI: 10.6084/m9.figshare.22567834.v1
title: data for twisting work

description: data for twisting paper
DOI: 10.6084/m9.figshare.21972989
title: Morphology and phylogeny of Diderma aurantiacum Y. Yamam. et Nann.-Bremek. (Myxomycetes) — A rare species from the Russian Far East

description: <strong>The dataset includes:</strong> The <strong>List of specimens</strong> with the list of specimens used for DNA extraction and sequencing and the list of sequences retrieved from GenBank The <strong>Concatenated alignment</strong> with 18S rDNA and EF1A sequences <strong>Partition file</strong> in RAxML format <strong>Two-gene phylogenetic tree </strong>in newick format. For details, see the original publication:
DOI: 10.6073/pasta/e8684820a5249f50f04236ca9a2484a5
title: The Jefferson Project 2018 hydrologic, water quality, and soil quality data from 11 Tributary Stations within the Lake George basin, NY, USA.

description: The Jefferson Project at Lake George -- a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association -- combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake's food web, hydrology, and water quality. More information about The Jefferson Project is available at In 2018, The Jefferson Project had eleven tributary monitoring stations around the lake collecting data on water quality, soil quality, and hydrology. These stations are TS_Finkle, TS_Hague, TS_Indian, TS_NorthwestBay, TS_Outlet, TS_PoleHill, TS_English, TS_Sunset, TS_ShelvingRock, TS_East, and TS_West. The stations have a sensor payload that may include some or all of the following sensors: YSI EXO2 Multi-parameter sonde, Campbell Scientific CS451 pressure transducer, SonTek-IQ+ multi-beam acoustic flow meter, Sontek-SL Doppler current meter, YSI WaterLOG® H-3123 submersible pressure transducer, and Stevens HydraProbe soil moisture sensor. The sensors collect data at high-frequency (~1 sample per minute) and the data is transferred in near real-time to off-site databases for monitoring and review by Jefferson Project researchers. Data provided is level 4 data which underwent data correction and downsampling to an hourly frequency.
DOI: 10.6073/pasta/af2bc0ae132e5b05b1f778131fca435b
title: The Jefferson Project 2018 water quality data from two vertical profiler stations in Lake George, NY, USA.

description: The Jefferson Project at Lake George -- a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association -- combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake's food web, hydrology, and water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2018, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and weather. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2018. These vertical profiler stations are named VP_AnthonysNose and VP_TeaIsland. The water quality data are collected by YSI EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data is transferred in near real-time to an off-site database for monitoring and review. The data provided have undergone data correction by Jefferson Project researchers.