cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1056107
title: Land adjacent to M1, Courteenhall, Northamptonshire: Geophysical Survey (OASIS ID: headland5-328784)

description: Headland Archaeology (UK) Ltd undertook a geophysical (magnetometer) survey of a 5 hectare site adjacent to the M1 at Courteenhall, Northamptonshire, to provide information on the archaeological potential of the site in advance of the construction of a proposed poultry shed and associated infrastructure. The survey has not identified any anomalies of any archaeological potential with the dataset dominated by linear anomalies reflecting medieval and/or post medieval ploughing, land division and modern land drainage. A service pipe has been identified in the south of the site. Therefore, on the basis of the geophysical survey, the archaeological potential of the site is assessed as low, corroborating the results of the Desk-Based Heritage Assessment.
DOI: 10.5287/bodleian:kepgnxzek
title: Genomic studies of Ipomoea

description: This dataset includes all the molecular data generated as part of a project to study the taxonomy and evolution of the genus Ipomoea. The dataset consists of two types of DNA sequences generated through high-throughput sequencing (Hyb-Seq): whole chloroplast genomes and single-copy nuclear coding regions. In terms of taxon sampling, this dataset includes multiple specimens of over 200 species of Ipomoea.
DOI: 10.6073/pasta/46a4f697dfe070dad740fb1fb859a063
title: PIE LTER location and sample dates for sites used in space for time sea level rise study, Rowley, MA.

description: This dataset contains the GPS-ed locations of the quadrats used for the 2017-2018 Space for Time substitution experiment in tidal creek marshes off the Rowley River and Plum Island Sound in Rowley Massachusetts. The space for time study uses an intensive and comprehensive approach to compare low elevation, Spartina alterniflora marsh areas to higher elevation Spartina patens marsh areas. Other related data files include: HTL-RO-ST-MAR-Biomass, HTL-RO-ST-MAR-Birds, HTL-RO-ST-MAR-Quads, HTL-RO-ST-MAR-Sediments, HTL-RO-ST-MAR-Bites, HTL-RO-ST-MAR-Sticky, HTL-RO-ST-MAR-Decomp, HTL-RO-ST-MAR-Traps, HTL-RO-ST-MAR-Deep_pitfalls
DOI: 10.6073/pasta/b29a97941c11ddf45540ea30066fde35
title: Incidence of Ticks and Tick Bites at Harvard Forest since 2006

description: In an effort to determine exposure to ticks and to determine appropriate preventative measures to reduce the occurrence of Lyme Disease in summer research interns at Harvard Forest, data are collected about where students work at Harvard Forest; the time spent in the field; the number of ticks students find on themselves after each trip to the field; and the number of ticks that actually bite and embed themselves in the skin. From these data, we estimate areas of high tick densities and estimate time of summer during which ticks are most prevalent. The results are used to develop recommendations for appropriate precautions that students can take to avoid tick-borne diseases.
DOI: 10.5061/dryad.4qh3sf5/1
title: Dryad Item 10.5061/DRYAD.4QH3SF5/1

description: (:tba)
DOI: 10.5061/dryad.4qh3sf5/2
title: Dryad Item 10.5061/DRYAD.4QH3SF5/2

description: (:tba)
DOI: 10.5061/dryad.4qh3sf5/3
title: Dryad Item 10.5061/DRYAD.4QH3SF5/3

description: (:tba)
DOI: 10.6084/m9.figshare.9171851
title: Brad‘s #FailTales

description: Digital Science #FailTales competition entry
DOI: 10.5281/zenodo.3381634
title: Dataset "How Does Education Quality Affect Economic Growth?"

description: Dataset and do files used in "How Does Education Quality Affect Economic Growth?" paper.
DOI: 10.5284/1056108
title: St Mary's Primary School, Ascupart Street, Southampton. Archaeological Evaluation (SOU1565) (OASIS ID: wessexar1-110217)

description: Wessex Archaeology was commissioned by Groundwork Solent to undertake an archaeological evaluation in advance of development within the school playing fields at St Marys Primary School, Ascupart Street, Southampton, centred on NGR 442743 112144. The evaluation consisted of the mechanical excavation of eight trenches located within the proposed footprint of a Multi-Use Games Area. The work was intended to assess the archaeological potential, and to inform the extent and nature of any further archaeological mitigation which may be necessary in this area of high archaeological potential. The trenches positioned in the south-western corner of the development area revealed extensive post-medieval and modern disturbance, presumably associated with the construction and realignment of the railway line which previously ran through the site of the playing fields. Three of the remaining trenches each contained a large pit of middle Saxon date. Although hand excavation of the features was limited due to the depth of overburden (up to 1.2m), augering of the pits confirmed the features survive to depths ranging from 1.2-2.3m. Earlier archaeological investigations in the immediate vicinity have identified similar features which have been interpreted as localised brickearth quarry pits, later used for the disposal of rubbish/cess.
DOI: 10.5061/dryad.s5v553b/1
title: Dryad Item 10.5061/DRYAD.S5V553B/1

description: (:tba)
DOI: 10.5281/zenodo.3381635
title: Dataset "How Does Education Quality Affect Economic Growth?"

description: Dataset and do files used in "How Does Education Quality Affect Economic Growth?" paper.
DOI: 10.6084/m9.figshare.9171851.v1
title: Brad‘s #FailTales

description: Digital Science #FailTales competition entry
DOI: 10.25346/s6/eefyip/3bf7wu
title: Gates_Data _Variable_Descriptions.pdf

description: Codebook
DOI: 10.25346/s6/eefyip/a4qfph
title: Gates_Open_Access_Publishing_Charges_Project_Data.tab

description: Data provided by foundation 5-8-2019
DOI: 10.25346/s6/eefyip/khjoqp
title: Gates_Data_Variable_Descriptions.txt
DOI: 10.5066/p9boio3d
title: Time Series of expected Nebraska Sandhills livestock forage (2000 - 2016)

description: Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The research objectives are to (1) estimate biomass expected at a certain location under specific weather conditions, (2) determine which drought indices explain the majority of inter-annual variability in the study area and (3) develop a model that estimates annual biomass early in the growing season. This study uses an established methodology to determine an expected ecosystem performance (EEP) in the Nebraska Sandhills, USA, representing the annual forage with the effects of non-climatic influences removed. Moderate Resolution Imaging Spectroradiometer (MODIS)-based Normalized Difference Vegetation Index (NDVI) data were used to approximate actual ecosystem performance. Seventeen years (2000 - 2016) of annual EEP were calculated using piecewise regression tree models of site potential and weather data. Expected biomass (EB), EEP converted to biomass in kg ha/yr, then determined the appropriate indices and date of the growing season to monitor annual expected grassland biomass. Validation revealed that EB was positively related to field-based biomass production in two upland Sandhills locations (R-squared = 0.66 and 0.57) and to regional rangeland productivity statistics of the Soil Survey Geographic Database (SSURGO) dataset. The Evaporative Stress Index (ESI), the 3- and 6-month Standardized Precipitation Index (SPI), and the US Drought Monitor (USDM) that represented moisture conditions during May, June and July explained the majority of the inter-annual biomass variability in this grassland system. EB was then used to develop a spring biomass estimate model that applies several drought indices to estimate annual biomass production early in the growing season. This unique approach considers only the climate-related drought signal on productivity. The spring biomass model estimated annual EB at the end of May, giving land managers opportunities to make informed decisions about stocking rates, hay purchase needs, and other management decisions early in the growing season, minimizing their potential losses from drought. These datasets were produced through a USGS Cooperative Agreement with the University of Nebraska (Agreement Number G19AC00074) and the National Drought Mitigation Center "Drought Risk Management Research Center," and is supported by the National Oceanic and Atmospheric Administration Competitive Grant no. NA15OAR4310110 in support of the National Integrated Drought Information System. Further methodological details and applications of this data and be found in Podbradsk et al. 2019, referenced above.
DOI: 10.3886/e100365v1-4575
title: Action Control of Affordances in an Implicitly Cued Simon Task

description: The present study used covert means to implicitly cue responses in a Simon Task in order to investigate how participants anticipate and resolve conflicts between relevant and irrelevant stimulus information. Participants were randomly assigned to either a Non-predictive or a Predictive Simon Task in which implicit cues predicted the correct response. Results showed that, despite an overall high level of accuracy between the two tasks, when implicit cues were present the average Simon Effect was significantly smaller compared to when cues were absent. Group mean differences in Simon effect scores support that implicit priming mechanisms modulate response selection and action monitoring when conveying information about response outcomes. These results demonstrate that knowledge learned implicitly can be used to resolve conflict between relevant and irrelevant stimulus information in order to avoid non-optimal behavior, providing evidence for the role of implicit learning in action control of response affordances.
description: Response Rates: Fifty-three undergraduates from the Catholic University of America were recruited and received course credit to participate in the present study but only forty-eight (32 females; 16 males, aged 18 to 23 years, M = 18.92, SD = 1.22) met the inclusion criteria for the analysis.
description: Mean of median reaction times for correct responses were calculated for each individual and each condition collapsed across trials for each block. Only valid cues predictive of correct responses were taken for the Predictive Simon task in order to make direct comparisons to the Non-Predictive Simon task, which contains no invalid trials.
description: Undergraduate students from the Catholic University of America ages 18 to 23 years.
DOI: 10.6073/pasta/4f0c149903dc2e526ec045daf7f74b72
title: PIE LTER bird observations associated with marsh sites used in space for time sea level rise study, Rowley, MA.

description: This dataset contains observations of birds foraging at high and low tide at space for time substition plots in tidal creek marshes off the Rowley River and Plum Island Sound in Rowley Massachusetts. The space for time study uses an intensive and comprehensive approach to compare low elevation, Spartina alterniflora marsh areas to higher elevation Spartina patens marsh areas. Birds were observed using timed interval observations, with one sampling bout per tide per site. Other related data files include: HTL-RO-ST-MAR-Sites, HTL-RO-ST-MAR-Biomass, HTL-RO-ST-MAR-Quads, HTL-RO-ST-MAR-Sediments, HTL-RO-ST-MAR-Bites, HTL-RO-ST-MAR-Sticky, HTL-RO-ST-MAR-Decomp, HTL-RO-ST-MAR-Traps, HTL-RO-ST-MAR-Deep_pitfalls
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n.1
title: [4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: This dataset contains experimental data from a sample ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane, InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) process process process infrared absorption spectroscopy (IR) mass spectrometry (MS) elemental analysis (EA)
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/bfo0000015
title: process ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for process 31P NMR (162 MHz, DMSO-d6, ppm) δ = −5.22 (s, 1P).
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/bfo0000015.1
title: process ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for process
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/bfo0000015.2
title: process ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for process
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for mass spectrometry (MS) MS (EI, 70 eV) m/z (%) = 345 (36) [M]+, 344 (35) [M-H]+, 161 (43) [M-PPh2]+, 93 (100) [M-PPh2-Cyclopentyl]+, 91 (20), 83/82 (16/28), 77 (16), 67 (21), 65 (12), 57 (32), 55 (25). – HRMS (C23H24NP) calcd. 345.1646; found. 345.1647.
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/chmo0001075
title: elemental analysis (EA) ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for elemental analysis (EA) C23H24NP (345.2) calcd. C 79.97; H 7.00; N 4.05; found. C 80.10; H 7.02 N 4.04.
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 8.53 (d, 3JHH = 4.9 Hz, 1H, H5), 7.39–7.36 (m, 6H, H10, H11), 7.34–7.29 (m, 4H, H9), 7.13 (d, 3JHH = 4.9 Hz, 1H, H4), 6.91 (bs, 1H, H2), 2.45 (d, 3JHH = 7.5 Hz, 2H, H6), 1.90 (sept, 3JHH = 7.6 Hz, 1H, H7), 1.57–1.47 (m, 4H, HCH2), 1.45–1.34 (m, 2H, HCH2), 1.05–0.97 (m, 2H, HCH2).
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6, ppm) δ = 162.2 (d, 1JCP = 4.4 Hz, 1C, Cq1), 150.4 (d, 3JCP = 3.3 Hz, 1C, C3), 149.9 (d, 3JCP = 12.2 Hz, 1C, C5), 136.2 (d, 1JCP = 11.0 Hz, 2C, C8), 133.7 (d, 2JCP = 19.7 Hz, 4C, C9), 129.1 (s, 2C, C11), 128.6 (d, 3JCP = 7.1 Hz, 4C, C10), 128.1 (d, 2JCP = 19.7 Hz, 1C, C2), 123.1 (s, 1C, C4), 40.3 (s, 1C, CCH2), 40.3 (s, 1C, C7), 31.7 (s, 2C, CCH2), 21.2 (s, 2C, CCH2).
DOI: 10.14272/hzicelsonpxcrp-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ([4-(cyclopentylmethyl)pyridin-2-yl]-diphenylphosphane)
title: InChI=1S/C23H24NP/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19/h1-6,11-16,18-19H,7-10,17H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) 𝜈̃ = 3051 (vw), 2946 (w), 2863 (w), 1584 (m), 1477 (w), 1452 (w), 1433 (m), 1384 (w), 1181 (w), 1092 (w), 1027 (w), 988 (w), 846 (w), 741 (m), 695 (m), 544 (w), 496 (m), 459 (w) cm–1.
DOI: 10.5281/zenodo.3381633
title: GNMT inference dataset

description: The dataset is generated for inference only from https://github.com/mlperf/training/blob/master/rnn_translator/download_dataset.sh
DOI: 10.5281/zenodo.3381637
title: Use of Ultra‐High‐Performance Fiber‐Reinforced Concrete (UHP‐FRC) for Fast and Sustainable Repair of Pavements

description: Corresponding data set for Tran-SET Project No.17STUTA03. Abstract of the final report is stated below for reference: "This research presents a new methodology, which enables streets, roads, highways, bridges, and airfields to use an advanced fiber-reinforced concrete material, which can delay or prevent the deterioration of these transportation infrastructure when subjected to traffic and environmental loadings. The major problem of concrete is its considerable deterioration and limited service life due to its brittleness and limited durability. As a result, it requires frequent repair and eventual replacement, which consumes more natural resources. Ultra-high-performance fiber-reinforced concrete (UHP-FRC) introduces significant enhancement in the sustainability of concrete structures due to its dense microstructure and damage-tolerance characteristics. These characteristics can significantly reduce the amount of repair, rehabilitation, and maintenance work, thereby giving the transportation infrastructure a longer service life. This research addresses the strong need to develop fast and sustainable UHP-FRC materials for pavement repair that can be easily cast onsite without special treatments. This avoids any major changes to current concrete production practice and accelerates the use of UHP-FRC materials. This research investigated a new method for concrete repair by combining precast UHP-FRC panels with a small quantity of cast-in-place UHP-FRC for pavement repair without any dowel bars. In this method, a precast UHP-FRC panel is used along with cast-in-place UHP-FRC. The vertical repair surfaces of the existing concrete are roughened on site. The outer edges of the UHP-FRC precast panel are roughened before they are brought to the site (no dowel bars are needed). The depth of the precast UHP-FRC panel is the same as the existing pavement thickness. Only a small cast-in-place UHP-FRC joint (one to two inches wide) is done onsite. The roughened precast UHP-FRC panel is placed in the repair area and cast-in-place UHP-FRC is cast into the joint. Experimental results showed that using a roughened surface (up to about CSP 5) provides a very large bond resistance, which is enough to prevent faulting."
description: Tran-SET Project No. 17STUTA03
DOI: 10.5281/zenodo.3381625
title: GNMT inference dataset

description: The dataset is generated for inference only from https://github.com/mlperf/training/blob/master/rnn_translator/download_dataset.sh
DOI: 10.7910/dvn/7k3rjc/bxm1hd
title: README.txt

description: Readme file
DOI: 10.7910/dvn/7k3rjc/exgajg
title: geography_prep.do

description: Data prep file (Stata format); runs automatically when main analysis file is executed
DOI: 10.7910/dvn/7k3rjc/lkvopt
title: geography_main.do

description: Main analysis file (Stata format)
DOI: 10.7910/dvn/7k3rjc/niyysm
title: Data_maps.tab

description: ./Figure: input data for world map
DOI: 10.7910/dvn/7k3rjc/uupoo4
title: geography_barplots.r

description: ./Figure: produces bar plots (R code)
DOI: 10.7910/dvn/7k3rjc/0gu6sp
title: geography_data.tab

description: Main data file
DOI: 10.7910/dvn/7k3rjc/bfsa1l
title: geography_rep.r

description: ./Figure: produces kernel density plots (R code)
DOI: 10.7910/dvn/7k3rjc/l5eirx
title: geography_rep.tab

description: ./Figure: input data for kernel density plots (Stata format)
DOI: 10.7910/dvn/7k3rjc/uomfor
title: geography_map.r

description: ./Figure: produces world map (R code)
DOI: 10.7910/dvn/7k3rjc/ycoyt4
title: gtf_full_report 2017.pdf

description: Data source
DOI: 10.5281/zenodo.3381638
title: Relationship between Road Network Characteristics and Traffic Safety

description: Corresponding data set for Tran-SET Project No. 17ITSTSA01. Abstract of the final report is stated below for reference: "The Transportation and Capital Improvement of the City of San Antonio, Texas Department of Transportation (TxDOT) and other related agencies often make several efforts based on traffic data to improve safety at intersections, but the number of intersection crashes is still on the high side. There is no one size fits all solution for intersections and the City is often usually confronted with doing best value option analysis on different solutions to choose the least expensive yet more advancements. The goal of this project was to obtain the relationship between road network characteristics and public safety with a focus on intersections; perform a thorough analysis of critical intersections with high crash incidents and crash rates within the city of San Antonio, Texas, and analyze key factors that lead to crashes and recommend effective safety countermeasures. Researchers conducted the following tasks: literature review, crash data analysis, factors affecting crashes at intersections, and the development of possible solutions to some of the identified challenges. Several variables and factors were analyzed, including driver characteristics, like age and gender, road-related factors and environmental factors such as weather conditions and time of day ArcGIS was used to analyze crash frequency at different intersections, and hotspot analysis was carried out to identify high-risk intersections. The crash rates were also calculated for some intersections. The research outcome shows that there are more male drivers than female drivers involved in crashes, even though we have more licensed female drivers than male drivers. The highest number of crashes involved drivers within the age range of 15 – 34 years; this is an indication that intersection crash is one of the top threats to the young generation. The study also shows that the most common crash type is the angle crash which represents over 23% of the intersection crashes. Driver’s inattention ranked first among all the contributing factors recorded. The highrisk intersections based on crash frequency and crash rate show that the intersection along the Bandera Road and Loop 1604 is the worst in the city, with 399 crashes and 8.5 crashes per million entering vehicles. The research concluded with some suggested countermeasures, which include public enlightenment and road safety audit as a proactive means of identifying high-risk intersections."
description: Tran-SET Project No. 17ITSTSA01
DOI: 10.7910/dvn/mapgnu/4jcd8q
title: GHGSat_CH4_13jan2019_source1_source2.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/r40ddq
title: GHGSat_CH4_15aug2018_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/0cf3l3
title: GHGSat_CH4_03sep2018_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/iwof3e
title: GHGSat_CH4_19jun2018_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/naziob
title: GHGSat_CH4_22sep2018_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/uzwfjp
title: GHGSat_CH4_27jan2019_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/hpylne
title: GHGSat_CH4_08nov2018_source1.npy

description: :unav
DOI: 10.7910/dvn/mapgnu/zo4tkb
title: GHGSat_CH4_27jan2019_source3.npy

description: :unav
DOI: 10.7910/dvn/lnw5mk/9hyvyp
title: Jeehp_16_23_raw data.tab

description: :unav