cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1052199
title: Rhodes Building, Oriel College, Oxford. Archaeological Watching Brief (OASIS ID: oxfordar1-347157)

description: Between March 2014 and January 2015, Oxford Archaeology (OA) undertook a  watching brief during alterations to The Rhodes Building, Oriel College, Oxford. The  watching brief was focussed on the excavation of a new lift pit, a trench for the  installation of a crane base and the excavation of new service trenching within The  Rhodes Building and St Mary's Quad.    The site lies on the High Street frontage of Oriel College, between Oriel Street and  Magpie Lane and, prior to the construction of the Rhodes Building in 1909-1911,  was occupied by a row of re-fronted tenements, with the Principal's Lodgings of  1833 projecting southward into what is now St Mary's Quad.    Two undated pits were revealed in the base of the lift pit trench, but the majority of  the deposits and structures encountered during the works related to the early 20th  century backfilling of cellars belonging to the buildings demolished in advance of the  re-development of the High Street frontage. In particular, a light well in the south  wall of a cellar in the crane base trench is clearly identifiable in a photograph of the  Principal's Lodgings by Henry Taunt from the late 19th or early 20th century.    The remaining deposits encountered related to landscaping within St Mary's Quad  and are also likely to be contemporary with the construction of the Rhodes Building.
DOI: 10.7281/t1/c6mcox/9abjvw
title: 1_README.txt

description: README file describing the components in the data archive.
DOI: 10.7281/t1/c6mcox/akbrqo
title: 6_Generate_histograms.zip

description: This folder includes the software and processed data necessary for generating histograms of different epoch types.
DOI: 10.7281/t1/c6mcox/fgkida
title: 2_Raw_data.zip

description: This folder includes the raw data files of the experiments.
DOI: 10.7281/t1/c6mcox/l5a5vs
title: 3.1_Clustering.zip

description: This folder includes the software and processed data necessary for the classification of the non-tracking epochs.
DOI: 10.7281/t1/c6mcox/lntfyr
title: 4_Generate_frequency_response_functions.zip

description: This folder includes the software necessary to generate frequency response function estimations for a specific category of sensory cues with respect to refuge lengths.
DOI: 10.7281/t1/c6mcox/nmeo8l
title: 3.2_Cluster_visualization.zip

description: This folder includes the software used for cluster visualization.
DOI: 10.7281/t1/c6mcox/yyvy55
title: 5_Generate_state_transition_diagrams.zip

description: This folder includes the software and processed data necessary for generating the state transition diagrams.
DOI: 10.5281/zenodo.2653854
title: Code and data for: The evolution of light and vertical mixing across a phytoplankton ice-edge bloom

description: This is a first release of the code (and the data and figures it produced) used by Randelhoff et al. for "The evolution of light and vertical mixing across a phytoplankton ice-edge bloom", Elementa: Science of the Anthropocene (2019).
DOI: 10.5281/zenodo.2653855
title: Code and data for: The evolution of light and vertical mixing across a phytoplankton ice-edge bloom

description: This is a first release of the code (and the data and figures it produced) used by Randelhoff et al. for "The evolution of light and vertical mixing across a phytoplankton ice-edge bloom", Elementa: Science of the Anthropocene (2019).
DOI: 10.3886/e109444v1
title: Converting the Texts of the U.S. State Constitutions into Quantifiable Data: A Text Analytics Project

description: I compiled this dataset for my dissertation, "Converting the Texts of the U.S. State Constitutions into Quantifiable Data: A Text Analytics Project" (Clouse 2019).<br><br>For this project, I converted the texts of two-hundred and three historical and current U.S. state constitutions into quantifiable data, using methods of categorization. Each word of constitutional text was placed into one of thirty-two distinct topical categories, based on the subject matter of the text. For each state constitution, the number of words the constitution devotes to the topical category was entered into the dataset under the appropriate category heading. <br><br>The state constitutions represented in the data are:<br>The original texts of 153 historical state constitutions (unamended)The texts of the current 50 state constitutions (with amendments/revisions made through July 2017)<br><br>The thirty-two topical categories are: <br>Preamble<br>State Boundaries<br>Declaration of Rights<br>Religion<br>Discrimination<br>Private Property<br>Suffrage & Elections<br>People's Initiative<br>Representation &
  Apportionment<br>Legislative<br>Executive<br>Judicial<br>Militia<br>General Operations<br>Education<br>Taxation & Finance<br>Business & Corporations<br>Railroads & Canals<br>Banking<br>Social Regulations<br>Public Goods<br>Agriculture<br>Natural Resources &
  Environment<br>Entitlements<br>Public Institutions<br>State Lands<br>State Powers<br>Local Government<br>Federal Government<br>Amendment Process<br>Schedule<br>Postscript

 
<br>
description: U.S. State Constitutions, historical and currentSmallest Geographic Unit: U.S. States
DOI: 10.6073/pasta/045604ca1533c1f4a28eaf961cda8900
title: Carbon flux from aquatic ecosystems of the Arctic Coastal Plain along the Beaufort Sea, Alaska, 2010-2018

description: Multiple aquatic ecosystems (pond, lake, river, lagoon, ocean) on the
  Arctic Coastal Plain (ACP) near Utqiaġvik, AK were visited to
  determine their relative contribution to landscape-level atmospheric
  CO2 flux and how this may have changed over time. pCO2 (partial
  pressure of carbon dioxide) was monitored in late summer (late July to
  mid-August) over a period of four years (2013, 2015, 2017, 2018) from
  open water areas and is related to habitat type, dissolved organic
  carbon (DOC) and environmental factors (temperature, radiation,
  rainfall). Data include both daily averages from most sites, as well
  as spatial representation of pCO2 in Elson Lagoon and diel cycles of
  pCO2 from a tundra pond. Pond NEP (net ecosystem production) is
  estimated by free water metabolism and presented as daily estimates
  over a four summer period.
DOI: 10.5066/p933w4qc
title: Erosion and Rehabilitation Data, Bandelier National Monument, New Mexico, USA

description: These data were compiled for a restoration experiment testing the regenerative and functional response of biocrust inoculum reintroduced to a field setting. Regenerative traits measured included measurements of biocrust cover, chlorophyll content, and the roughness of the soil surface. Functional traits measured included nutrient cycling and soil stability. Additionally, these data were compiled for an experiment testing how much soil is lost from different types of ground cover. The data collected was related to ground cover and the amount of soil lost from plots through time. These data were used to inform the conclusions drawn in the accompanying manuscript.
DOI: 10.25919/5cc7195035032
title: Parkes observations for project P971 semester 2019APRS_02

description: We propose timing observations of the relativistic pulsar - white-dwarf binary PSR J1141-6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The recently installed Parkes Ultra Wide Band Low Frequency (UWL) receiver has opened up the possibility of performing first-ever studies of its orbital dynamics at high temporal resolution and study of the effects of the intra-binary medium on the dispersion and polarisation of the pulse profile. Our analysis of data obtained to date suggests that the pulsar would precess away from our line-of-sight in the next 3-5 years. Hence, regular observations are crucial to maximizing its science outcome
DOI: 10.5281/zenodo.2653945
title: Supporting code and data for ProvBuild

description: Supporting code and data for ProvBuild
DOI: 10.25919/5cc74c198c7de
title: Parkes observations for project PX501 semester 2019APRS_03

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries.  As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading.  The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period.  The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.25345/c5fc9r
title: MassIVE MSV000083734 - GNPS_UCSF_E_lenta_cultures_of_30_isolates
title: Triplicate untargeted analysis of 30 isolates of Eggerthella lenta grown for 72h in ISP2 media with 1% arginine under anaerobic conditions at 37C. Corresponding isolate information can be found at https://doi.org/10.1101/304840.
DOI: 10.5061/dryad.3tp4r63/1
title: Dryad Item 10.5061/DRYAD.3TP4R63/1

description: (:tba)
DOI: 10.5061/dryad.3tp4r63/2
title: Dryad Item 10.5061/DRYAD.3TP4R63/2

description: (:tba)
DOI: 10.5519/qd.l252ddg1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (26 records)
DOI: 10.5519/qd.u4r4vecc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.6073/pasta/848852236919cf08e9078098d8e3cb73
title: N fertilization experiment plant species composition data for north of the saddle from 2011 to ongoing, yearly

description: In August 2010, N fertilization plots were established over a gradient
  of Geum rossii (Aco) and Deschampsia caespitosa (Des) cover in an area
  of moist-wet meadow alpine tundra north of the Saddle on Niwot Ridge.
  A total of 20 plots were set up, with 1X-10X being control plots where
  no nitrogen (N) was added, and 1N-10N being fertilization plots where
  N was added. Control and fertilized plots were paired so that pairs
  had the same percent cover of Aco and Des. Initially in 2010, N
  addition plots were fertilized at a rate of 28.8 g N x m^2 x yr^-1 (72
  g of slow-release Osmocote (40-0-0)). In 2011 fertilization rate was
  reduced to N x m^2 x yr^-1 (25 g Osmocote (2011-2013), Duration Urea
  120, 40-0-0, SGN 150 (2014-on).
DOI: 10.25919/5cc74fdcbe2b5
title: Parkes observations for project P958 semester 2019APRS_13

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until a few months ago, only one burst – the only one known to repeat -  had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy.   
Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 28 bursts, two of which have been localised to host galaxies at redshifts &gt; 0.3. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population.  Over the next six months we expect to detect another 12 FRBs, which will also have sub-arcsecond localisations.   Here we propose to search this population for repeats.  Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.6073/pasta/1b384e87497b88fef43f9d8525b58bfe
title: Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2013.

description: To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2013. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats. Data was collected at all GCE domain sites as well as one additional Zizaniopsis site (label SCZ2).
DOI: 10.6073/pasta/99ea0eb01272c1ab9e61fcae89c151b9
title: Yearly survey of barnacle settlement in mid-marsh and creekbank plots at GCE LTER study sites in October 2013

description: To characterize spatial variation in barnacle recruitment within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart in each marsh zone at each GCE LTER permanent monitoring site each Fall beginning in 2012.  These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only Chlathamus fragilis settled on the poles.
DOI: 10.17632/yvjkr7w7ys.1
title: Data for: Multilocus phylogeny of Oreochromis cichlid fishes reveals reticulate evolution and recent colonisation of extreme aquatic environments

description: Nexus files for mtDNA and nuDNA datasets
DOI: 10.5281/zenodo.2641071
title: DL-FRONT MERRA-2 weather front probability maps over North America, 1980-

description: DL-FRONT is a Deep Learning Neural Network (DLNN) that was trained to detect weather fronts using spatial grids of near-surface atmospheric variables. The dataset is composed of hourly spatial grids containing probability maps for each of five front-type categories—cold front, warm front, stationary front, occluded front, and no front. This dataset is the product of processing data from the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). DL-FRONT processed MERRA-2 hourly data grids of instantaneous measures of air pressure reduced to mean sea level, air temperature at 2 meters, specific humidity at 2 meters, and wind velocity at 10 meters over the time span 1980 - 2018 to produce this dataset. The original MERRA-2 data were resampled at 1 degree resolution over the spatial range 31W - 171W x 10N - 77N using bicubic interpolation. At each hourly time step the network produced a set of spatial grids with the same resolution and spatial range as the input, one for each of the five categories mentioned above. Each cell in a spatial grid for a given category records the network-assigned probability (from 0.0 to 1.0) that the cell is in a weather front boundary region of that category (or, for the "no front" category, the probability that the cell is not in any weather front boundary region). The DLNN was trained using MERRA-2 data and human-identified fronts from the NOAA National Weather Service (NWS) Weather Prediction Center (WPC) Coded Surface Bulletin dataset. The training datasets covered the years 2003-2007. The dataset contains two sets of files. The first set contains the original front probability maps. The second set contains "one hot" versions of the front probability maps. In the one hot version the five front-type probabilities for a spatial grid cell for a given time step are replaced by the value 1 for the largest front-type probability, and by 0 for the others. The front probability files have names that follow the form merra2_merra2-1deg_fronts_&lt;year&gt;.nc. The one hot files have names that follow the form merra2_merra2-1deg_onehot_&lt;year&gt;.nc. Each file contains one year of hourly spatial data grids.
description: {"references": ["The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Ronald Gelaro, et al., 2017, J. Clim., doi: 10.1175/JCLI-D-16-0758."]}
DOI: 10.5281/zenodo.2641072
title: DL-FRONT MERRA-2 weather front probability maps over North America, 1980-

description: DL-FRONT is a Deep Learning Neural Network (DLNN) that was trained to detect weather fronts using spatial grids of near-surface atmospheric variables. The dataset is composed of hourly spatial grids containing probability maps for each of five front-type categories—cold front, warm front, stationary front, occluded front, and no front. This dataset is the product of processing data from the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). DL-FRONT processed MERRA-2 hourly data grids of instantaneous measures of air pressure reduced to mean sea level, air temperature at 2 meters, specific humidity at 2 meters, and wind velocity at 10 meters over the time span 1980 - 2018 to produce this dataset. The original MERRA-2 data were resampled at 1 degree resolution over the spatial range 31W - 171W x 10N - 77N using bicubic interpolation. At each hourly time step the network produced a set of spatial grids with the same resolution and spatial range as the input, one for each of the five categories mentioned above. Each cell in a spatial grid for a given category records the network-assigned probability (from 0.0 to 1.0) that the cell is in a weather front boundary region of that category (or, for the "no front" category, the probability that the cell is not in any weather front boundary region). The DLNN was trained using MERRA-2 data and human-identified fronts from the NOAA National Weather Service (NWS) Weather Prediction Center (WPC) Coded Surface Bulletin dataset. The training datasets covered the years 2003-2007. The dataset contains two sets of files. The first set contains the original front probability maps. The second set contains "one hot" versions of the front probability maps. In the one hot version the five front-type probabilities for a spatial grid cell for a given time step are replaced by the value 1 for the largest front-type probability, and by 0 for the others. The front probability files have names that follow the form merra2_merra2-1deg_fronts_&lt;year&gt;.nc. The one hot files have names that follow the form merra2_merra2-1deg_onehot_&lt;year&gt;.nc. Each file contains one year of hourly spatial data grids.
description: {"references": ["The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), Ronald Gelaro, et al., 2017, J. Clim., doi: 10.1175/JCLI-D-16-0758."]}
DOI: 10.6073/pasta/8b4f47fde37cebc3bdbeaee906ef9869
title: Effect of salt water intrusion on the distribution of invertebrates in a GA tidal freshwater marshes from the GCE Seawater Addition Long-Term Experiment (SALTEx) project.

description: To characterize the effect of persistent and episodic salt water intrusion on the distribution of common freshwater marsh invertebrates, we monitored the density of adult and juvenile fiddler crabs and snails.  Prior to the start of salt water addition treatments, we collected data on the distribution of crabs and snails in all 30 experimental plots (6 replicates of 5 treatments: pressed salt water addition, pulsed salt water addition, fresh water addition, procedural control structure, and control no structure). In each experimental plot, we  counted the number of adult and juvenile fiddler crab burrows and snails visible on the marshs surface in a 50cm x 75cm plot (juvenile fiddler crabs were counted in only half of this area) that was positioned in the Northeastern corner of each experimental plot. Initial data was collected in March 2014.  A Bentho Torch was used to measure the concentrations of cyanobacteria, diatoms, and green algae on the marsh surface in 2015 and 2016.
DOI: 10.6073/pasta/f7a582c38e6737c5843f6e8dd6da1899
title: Seasonal Distribution of Ammonia-Oxidizing Archaea and Ammonia-Oxidation Rates in the South Atlantic Bight from April to November 2014

description: Previous work in nearshore waters of the Georgia USA coast has demonstrated mid-summer peaks in the abundance of Thaumarchaeota (blooms with 100 to 1,000-fold increases) accompanied by spikes in nitrite concentration. These studies were performed at one location, so the areal extent of the bloom is unknown, nor has it been demonstrated conclusively that it develops in inshore waters. We collected data on rates of ammonia oxidation and the distribution of Thaumarchaeota, ammonia-oxidizing Betaproteobacteria (AOB), nitrite-oxidizing Nitrospina and environmental variables during 6 cruises aboard the UNOLS vessel R/V Savannah from April to November 2014 on transects of the South Atlantic Bight to evaluate the areal extent and timing of the bloom. This data set includes measurements of Chlorophyll-a concentration, PAR attenuation coefficient, oxygen concenrations, temperature, salinity and nitogenous nutrient concentrations (nitrite, nitrite + nitrate, ammonium, urea), and estimates of Archaea, bacteria and diatom gene concentration based on quantitative PCR.
DOI: 10.6073/pasta/62c1761b38dcb28829c2da183b0b9fed
title: Yearly survey of barnacle settlement in mid-marsh and creekbank plots at GCE LTER study sites in October 2014

description: To characterize spatial variation in barnacle recruitment within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart in each marsh zone at each GCE LTER permanent monitoring site each Fall beginning in 2012.  These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chlathamus fragilis and Balanus spp.
DOI: 10.6073/pasta/809342898377e47f11b1769437fa8345
title: Sediment elevation measurements from the GCE LTER Seawater Addition Long-Term Experiment (SALTEx) sampling sites from July 2013 to January 2017

description: SALTEx (Seawater Addition Long-Term Experiment) is a field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots , each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. We are measuring soil surface elevation tables (SETs) in the plots as one of the response variables for the SALTEx project.
DOI: 10.5517/ccdc.csd.cc21cxq2
title: CCDC 1888294: Experimental Crystal Structure Determination

description: Related Article: Shuang He Liu, Wen Wang, Kai Biao Wang, Bo Zhang, Wei Li, Jing Shi, Rui Hua Jiao, Ren Xiang Tan, Hui Ming Ge|2019|Org.Lett.|21|3785|doi:10.1021/acs.orglett.9b01237
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.