cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/vfakauxmzmpqds-uhfffaoysa-m.1
title: C35H31ClN2O4
title: InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1

description: This dataset contains experimental data from a sample (InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS)
DOI: 10.14272/vfakauxmzmpqds-uhfffaoysa-m/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, DMSO-d6, ppm) δ = 10.22 (s, 1H, Cim.H), 9.16 (d, 3J = 8.4 Hz, 2H, Car.H), 8.19 (s, 4H, Car.H), 7.89 (ddd, 3J = 8.4, 7.0 Hz, 4J = 1.2 Hz, 2H, Car.H), 7.65 (ddd, 3J = 8.4, 7.0 Hz, 4J = 1.2 Hz, 2H, Car.H), 7.15 (dd, 3J = 8.4 Hz, 4J = 1.2 Hz, 2H, Car.H), 3.98 (s, 6H, COOCH3), 2.24 (s, 12H, Car.CH3).
DOI: 10.14272/vfakauxmzmpqds-uhfffaoysa-m/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, DMSO-d6, ppm) δ = 165.3 (Cq, 2C, COOCH3), 141.2 (+, 1C, Cim.H), 136.8 (Cq, 2C, Car.), 136.8 (Cq, 4C, Car.), 132.6 (Cq, 2C, Car.), 130.2 (+, 4C, Car.H), 130.1 (Cq, 2C, Car.), 129.3 (+, 2C, Car.H), 129.1 (+, 2C, Car.H), 125.3 (Cq, 2C, Car.), 125.2 (+, 2C, Car.H), 120.0 (Cq, 2C, Car.), 119.3 (+, 2C, Car.H), 52.8 (+, 2C, COOCH3), 17.2 (+, 4C, Car.CH3).
DOI: 10.14272/vfakauxmzmpqds-uhfffaoysa-m/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C35H31N2O4.ClH/c1-20-15-24(34(38)40-5)16-21(2)30(20)36-19-37(31-22(3)17-25(18-23(31)4)35(39)41-6)33-29-14-10-8-12-27(29)26-11-7-9-13-28(26)32(33)36;/h7-19H,1-6H3;1H/q+1;/p-1

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 1703, 1537, 1436, 1324, 1300, 1279, 1249, 1214, 1149, 1125, 1031, 1011, 776, 755, 722, 660, 637, 615, 572, 555, 540, 517, 494, 476, 449, 436, 426, 405, 377 cm–1.
DOI: 10.18434/mds2-2540
title: Data set for Amontons-Coulomb-like slip dynamics in acousto-microfluidics
DOI: 10.25417/uic.19163753
title: Website data_health related informatics education opportunities at ALA or iSchool institutions

description: This dataset is the website data (raw, unanalyzed) collected for the article "Library or iSchool Involvement in Health Related Informatics Education" published by the Journal of eScience Librarianship in 2022. <br>The data was manually collected through website review.
DOI: 10.25417/uic.19163753.v1
title: Website data_health related informatics education opportunities at ALA or iSchool institutions

description: This dataset is the website data (raw, unanalyzed) collected for the article "Library or iSchool Involvement in Health Related Informatics Education" published by the Journal of eScience Librarianship in 2022. <br>The data was manually collected through website review.
DOI: 10.25345/c5r785q65
title: MassIVE MSV000088982 - GNPS - Cyanobacteria extracts and fractions
title: Several extracts from cyanobacteria species. LC-MS/MS was performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 um C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. Data was acquired in positive ion mode.
DOI: 10.6084/m9.figshare.19303919.v1
title: Data File for "The Determinants of Congressional Franking"

description: Data File for:<br><br>Joshua Hall, Todd M. Nesbit and Ricky Thorson, “The Determinants of Congressional Franking: Evidence from the 110th Congress,” <i>Journal of Applied Economics and Policy</i> 31(1) 2012: 25-34.<br>
DOI: 10.6084/m9.figshare.19303919
title: Data File for "The Determinants of Congressional Franking"

description: Data File for:<br><br>Joshua Hall, Todd M. Nesbit and Ricky Thorson, “The Determinants of Congressional Franking: Evidence from the 110th Congress,” <i>Journal of Applied Economics and Policy</i> 31(1) 2012: 25-34.<br>
DOI: 10.6084/m9.figshare.3761562.v2146
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5066/p9o4q5ib
title: Barataria Basin Landbridge Shoreline Protection, Phases 1, 2, and 3 (BA-27): 2018 land-water classification

description: The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Barataria Basin Landbridge Shoreline Protection, Phases 1, 2, and 3 (BA-27) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.
DOI: 10.21227/c8mn-8525
title: The use of tACS on movement-related brain waves

description: Background. MEG and EEG are techniques used to study the electrical activity from different brain areas. The signal arises from synchronized postsynaptic potentials of neurons that generate electrophysiological oscillations in different frequency bands. During movement process, the EEG/MEG spectral power within the beta range (15–29 Hz) decreases in amplitude and this is termed as Event-Related Desynchronization (ERD) [1]. It has been revealed that ERD is related with increased excitability of neurons in sensorimotor areas [2], [3]. Moreover, ERD amplitudes at baseline and during movement vary between age groups of young and old [4]. Abnormal increases in beta EEG power at baseline ERD are also well documented in e.g. Parkinson’s diseases and stroke [5], [6].There is converging evidence suggesting an association of cortical oscillations in the motor cortex with neuroplasticity events underlying motor memory consolidation [7], [8]. Using EEG, positive effects of exercise on motor learning by quantifying the modulation of ERD has been studied [9]. It was revealed that improvements in motor learning was associated with a significant acute decrease in beta-band ERD in sensorimotor areas measured during a grip task. Based on previous research studies, non-invasive brain stimulation (NIBS) protocols can induce neuroplasticity changes[10]–[12]. For instance, tACS allows for inducing direct cortical alterations in the underlying intrinsic neural oscillations by modulating cortical excitability through electrodes placed on the surface of the scalp [11]. Therefore, NIBS is considered as promising therapy for patients with motor deficits caused by neurodegenerative diseases.Objective. Since NIBS could induce changes in neuroplasticity and ERD is closely related with motor performance, the objective of this study is to determine the effects of NIBS protocols (tDCS and tACS) on baseline ERD.Hypothesis. We will use of a novel HD-EEG cap which allows for simultaneous EEG recording and NIBS (tDCS or tACS); this will increase spatial accuracy of stimulation and eliminate the delay between stimulation and EEG recordings. We hypothesize that tDCS applied through a custom electrode configuration in the HD-EEG cap will decrease baseline ERD, whereas tACS could induce an increase in baseline ERD. Successful outcome will further help to design NIBS therapy for patients with motor deficits.
DOI: 10.18112/openneuro.ds001907.v3.0.0
title: ANT: Healthy aging and Parkinson's disease
DOI: 10.5517/ccdc.csd.cc28zh6z
title: CCDC 2114671: Experimental Crystal Structure Determination

description: Related Article: Chad E. Hatch, Maxwell I. Martin, Philip H. Gilmartin, Lu Xiong, Danielle J. Beam, Glenn P. A. Yap, Matthew J. Von Bargen, Joel Rosenthal, William J. Chain|2022|Org.Lett.|24|1423|doi:10.1021/acs.orglett.1c03860
DOI: 10.5517/ccdc.csd.cc2907f0
title: CCDC 2115391: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc2907g1
title: CCDC 2115392: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc2907h2
title: CCDC 2115393: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc2907j3
title: CCDC 2115394: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc2907k4
title: CCDC 2115395: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc2907l5
title: CCDC 2115396: Experimental Crystal Structure Determination

description: Related Article: Lukas Siebenmann, Robin Bolliger, Henrik Braband, Olivier Blacque, Roger Alberto|2022|Inorg.Chem.|61|3683|doi:10.1021/acs.inorgchem.1c03811
DOI: 10.5517/ccdc.csd.cc294g64
title: CCDC 2119445: Experimental Crystal Structure Determination

description: Related Article: Xian Zhang, Hui-Xiang Yang, Ke Ye, Pan-Pan Wei, Xiao Lv, Yin-Zhong Fan, Yan-Ling Yang, Hong-Lian Ai, Ji-Kai Liu|2022|Phytochemistry|198|113126|doi:10.1016/j.phytochem.2022.113126
DOI: 10.5517/ccdc.csd.cc294gc9
title: CCDC 2119450: Experimental Crystal Structure Determination

description: Related Article: Xian Zhang, Hui-Xiang Yang, Ke Ye, Pan-Pan Wei, Xiao Lv, Yin-Zhong Fan, Yan-Ling Yang, Hong-Lian Ai, Ji-Kai Liu|2022|Phytochemistry|198|113126|doi:10.1016/j.phytochem.2022.113126
DOI: 10.5281/zenodo.6280986
title: Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya (Data Sets and Codes)

description: This repository contains AWS datasets for the modelling periods considered in the analysis presented in the research paper, together with ablation measurements, pre-processed forcing data, T&C model codes, outputs and scripts for analysing outputs. When previously published elsewhere, references and links to the full, original datasets are provided under References. Matlab scripts for executing the T&C model are provided and should work stand-alone on any machine with a Matlab version 2019b or later installed.
description: Content to be complemented in an updated version of this repository.
description: {"references": ["ICIMOD. (2021). AWS Yala Glacier [Data set]. ICIMOD. https://doi.org/10.26066/RDS.1972507", "Yang, W. (2018). Conventional ice surface meteorological data for Parlung Glacier No. 4 and Debris-covered 24K Glacier in southeast Tibet from June to September (2016). National Tibetan Plateau Data Center, DOI: 10.11888/AtmosPhys.tpe.249475.db. CSTR: 18406.11.AtmosPhys.tpe.249475.db."]}
DOI: 10.5281/zenodo.6280985
title: Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya (Data Sets and Codes)

description: This repository contains AWS datasets for the modelling periods considered in the analysis presented in the research paper, together with ablation measurements, pre-processed forcing data, T&C model codes, outputs and scripts for analysing outputs. When previously published elsewhere, references and links to the full, original datasets are provided under References. Matlab scripts for executing the T&C model are provided and should work stand-alone on any machine with a Matlab version 2019b or later installed.
description: Content to be complemented in an updated version of this repository.
description: {"references": ["ICIMOD. (2021). AWS Yala Glacier [Data set]. ICIMOD. https://doi.org/10.26066/RDS.1972507", "Yang, W. (2018). Conventional ice surface meteorological data for Parlung Glacier No. 4 and Debris-covered 24K Glacier in southeast Tibet from June to September (2016). National Tibetan Plateau Data Center, DOI: 10.11888/AtmosPhys.tpe.249475.db. CSTR: 18406.11.AtmosPhys.tpe.249475.db."]}
DOI: 10.5281/zenodo.5908635
title: Decarbonizing primary steel production : Techno-economic assessment of green steel production in Norway

description: Python codes for the modelling of a grid connected Hydrogen direct reduced plant combined with an electrical arc furnace for steel production.
DOI: 10.5281/zenodo.5485273
title: Decarbonizing primary steel production : Techno-economic assessment of green steel production in Norway

description: Python codes for the modelling of a grid connected Hydrogen direct reduced plant combined with an electrical arc furnace for steel production.
DOI: 10.5066/p9tqhz0o
title: Radiometer data from LZ40 in Lake Okeechobee, Florida, 2021

description: A four-component (incoming and outgoing shortwave and longwave radiation) radiometer (model CNR1) was installed on a monitoring station (LZ40) constructed by the South Florida Water Management District (SFWMD) in the approximate center of Lake Okeechobee in Florida, located at 26 degrees 54 minutes 06.254 seconds North, 080 degrees 47 minutes 21.301 seconds West. Specific time-series collected for this data release include the following parameters with units of watts per square meter: (1) incoming shortwave radiation, (2) outgoing shortwave radiation, (3) incoming longwave radiation, and (4) outgoing longwave radiation. Instantaneous readings of each parameter were measured every 5 seconds and averaged over 15-minute intervals by a Campbell Scientific CR1000 data-logger. The data begin on January 1st, 2021 and end on December 13th, 2021 due to battery failure at the station.
DOI: 10.6073/pasta/9b48ea6eea26e39d96392dca3a9c86fa
title: Year 2014, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.

description: Year 2014, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
DOI: 10.5281/zenodo.6326409
title: Saluki: Predicting mRNA half-life from mRNA sequence

description: Here we release datasets for Saluki, a hybrid deep convolutional and recurrent neural network, whose goal is to predict mRNA half-life from an mRNA sequence. Dataset can be analyzed with our associated Github code (https://github.com/vagarwal87/saluki_paper).
DOI: 10.5281/zenodo.6326408
title: Saluki: Predicting mRNA half-life from mRNA sequence

description: Here we release datasets for Saluki, a hybrid deep convolutional and recurrent neural network, whose goal is to predict mRNA half-life from an mRNA sequence. Dataset can be analyzed with our associated Github code (https://github.com/vagarwal87/saluki_paper).
DOI: 10.5066/p9t4uc6w
title: High-Resolution Aeromagnetic Survey of the Centralia Area, Southwest Washington

description: The data in this release originate from a low-altitude, aeromagnetic survey of the Centralia and Chehalis area of southwestern Washington. The survey was conducted between September 22 and October 22, 2015, by Eon Geosciences, Inc, working under contract to the U.S. Geological Survey. The covered region extends from the Cascade Range in the east to Willapa Bay in the west, and includes the cities of Chehalis and Centralia, Washington, and a part of Interstate 5. Total magnetic field values were acquired using a fixed-wing aircraft flown at a target elevation of 200 m above terrain. Primary flight lines were oriented east-west and spaced 400 m apart; additional tie lines were oriented north-south and spaced 4000 m apart. Flight lines and tie lines together represent 23,051 line-km of data.
DOI: 10.6073/pasta/50da7f7c9ac53e6a25e35979e26d6824
title: MCR LTER: Coral Reef: Biodiversity has a positive but saturating effect on imperiled coral reefs; data for Clements and Hay 2021, Science Advances

description: Species loss threatens ecosystems worldwide, but the ecological processes and thresholds that underpin positive biodiversity effects among critically important foundation species, such as corals on tropical reefs, remain inadequately understood. In field experiments, we manipulated coral species richness and intraspecific density to test whether, and how, biodiversity affects coral productivity and survival. Corals performed better in mixed species assemblages. Improved performance was unexplained by competition theory alone, suggesting that positive effects exceeded agonistic interactions during our experiments. Peak coral performance occurred at intermediate species richness and declined thereafter. Positive effects of coral diversity suggest that species’ losses on degraded reefs make recovery more difficult and further decline more likely. Harnessing these positive interactions may improve ecosystem conservation and restoration in a changing ocean. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site. Datasets used in this study are available online from the BCO-DMO data system. Data for this paper can be found at (https://www.bco-dmo.org/project/837802).
DOI: 10.18112/openneuro.ds001907.v3.0.1
title: ANT: Healthy aging and Parkinson's disease
DOI: 10.6073/pasta/00150ff2b926b3367529dac7b140039c
title: MCR LTER: Coral Reef: Distinguishing the molecular diversity, nutrient content, and energetic potential of exometabolomes produced by macroalgae and reef-building corals; data for Kelly et al., 2022 PNAS

description: Metabolites exuded by primary producers comprise a significant fraction of marine dissolved organic matter, a poorly characterized, heterogenous mixture that dictates microbial metabolism and biogeochemical cycling. We present a foundational untargeted molecular analysis of exudates released by coral reef primary producers using liquid chromatography–tandem mass spectrometry to examine compounds produced by two coral species and three types of algae (macroalgae, turfing microalgae, and crustose coralline algae [CCA]) from Mo’orea, French Polynesia. Of 10,568 distinct ion features recovered from reef and mesocosm waters, 1,667 were exuded by producers; the majority (86%) were organism specific, reflecting a clear divide between coral and algal exometabolomes. These data allowed us to examine two tenets of coral reef ecology at the molecular level. First, stoichiometric analyses show a significantly reduced nominal carbon oxidation state of algal exometabolites than coral exometabolites, illustrating one ecological mechanism by which algal phase shifts engender fundamental changes in the biogeochemistry of reef biomes. Second, coral and algal exometabolomes were differentially enriched in organic macronutrients, revealing a mechanism for reef nutrient-recycling. Coral exometabolomes were enriched in diverse sources of nitrogen and phosphorus, including tyrosine derivatives, oleoyl-taurines, and acyl carnitines. Exometabolites of CCA and turf algae were significantly enriched in nitrogen with distinct signals from polyketide macrolactams and alkaloids, respectively. Macroalgal exometabolomes were dominated by nonnitrogenous compounds, including diverse prenol lipids and steroids. This study provides molecular-level insights into biogeochemical cycling on coral reefs and illustrates how changing benthic cover on reefs influences reef water chemistry with implications for microbial metabolism. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site. All MS data are publicly accessioned in the Mass Spectrometry Interactive Virtual Environment (MassIVE) repository with accession number MSV000082083. Data for this paper can be found at (https://massive.ucsd.edu/ProteoSAFe/dataset_files.jsp?task=1102f1202bbb4f05b10f66a5356bbf99#%7B%22table_sort_history%22%3A%22main.collection_asc%22%7D)
DOI: 10.25919/sgsr-bx62
title: Parkes observations for project P1054 semester 2021OCTS_13

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Nine sources have been discovered in targeted observations of Fermi unidentified point sources, three in the Small Magellanic Cloud, 34 in Globular Clusters and six in a survey of the Galactic plane. Excluding GC sources (too dim to be followed up in the framework of this proposal), at least 12 new discoveries are recycled pulsars, one possibly with a neutron star companion, and two more have spin periods around 70 ms, making them potential mildly recycled or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries. The UWL has also the unique advantage of allowing detailed studies of the eclipses of the so-called 'spider' pulsars, which make up about 1/3rd of the sources we aim at following-up with this project.
DOI: 10.15468/dl.7h6egx
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Range table from planktonic foraminifers in ODP Hole 169-1035E"
 ]
}

 The dataset includes 78 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006810-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.