cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/9d87ae45de7e763cf6e87ae99d599bc7
title: Single Mask File of All Towns that are Fully or Partially in the Ipswich Watershed - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This datalayer is a mask of the area within the towns that make up the Ipswich River Watershed study area. The area on this mask is the complete town area of each town, and as such includes areas that are not actually within the watershed. This map has full information and was derived from the “ip30_noinfo_townmask” image. To be used to maske out area not within any town within the Ipswich River Watershed.
DOI: 10.6073/pasta/d7cf09abc1395fb8ab447addcdf9d8d7
title: Roads: Location and Type - Ipswich Watershed - Idrisi Raster File.

description: This data layer contains the roads within the Ipswich River Watershed, according to MassGIS (http://www.state.ma.us/mgis/) as of July 17, 2002. THis datalayer is part of a group of layers used for research in the Ipswich River Watershed. To show the location and type of roads within the watershed.
DOI: 10.7910/dvn/djyuky/1rgvrq
title: South Sudan-NGO-Survey_Clean.tab

description: :unav
DOI: 10.25919/5d43419ad98aa
title: Parkes observations for project P958 semester 2019APRS_56

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/be54cf783ad41e7c689bb0c499da474c
title: Individual Towns that are Fully or Partially in the Ipswich Watershed - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer includes the area within each town in the Ipswich River Watershed. This map contains complete information and was derived from the ip30_noinfo_towns layer.
DOI: 10.7910/dvn/rpo6k9
title: Performance metrics for continuous interstitial glucose monitoring: approved guideline

description: Clinical and Laboratory Standards Institute document POCT05-A—Performance Metrics for Continuous Interstitial Glucose Monitoring; Approved Guideline provides a consensus for health care professionals, in vitro diagnostic (IVD) and medical device manufacturers, and regulatory agencies on how continuous glucose monitor (CGM) data should be: 1) presented; 2) compared between devices; and 3) compared between measurement technologies. Terminology is defined for measuring interstitial fluid glucose levels and comparing them to blood glucose levels. The degree of agreement for acceptable technical performance is defined to assess method comparability. This guideline also presents methods for testing CGM performance and interpreting CGM levels. This guideline covers CGM point accuracy and trend accuracy, as well as CGM measurement sensitivity and specificity. The guideline covers device instability due to changes in sensitivity over time. The guideline covers analytical and clinical metrics for establishing the calibration process. It covers approaches for accounting for lag time, which consists of physiologic lag plus process delay. Finally, for CGM measurements, the guideline covers how to use reference materials and establish traceability to a reference system.
DOI: 10.7910/dvn/rpo6k9/y6g6nc
title: POCT05AE.pdf

description: :unav
DOI: 10.6073/pasta/fd5a099cdaaeb777a1487fc40837f900
title: Individual Towns that are Fully or Partially in the Ipswich Watershed - Idrisi Vector File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer includes the area within each town in the Ipswich River Watershed in vector form. This map contains complete information and was derived from the ip30_noinfo_towns layer.
DOI: 10.5281/zenodo.3358171
title: Binary black-hole simulation SXS:BBH:1387

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6073/pasta/68b96ac019092f96f3c2ce34f7751dbc
title: Wetland Areas - Ipswich Watershed - Idrisi Raster File.

description: This map shows the location of wetland areas inside of the Ipswich River watershed sudy area.
DOI: 10.6073/pasta/fa7e90c46dab20f9c4c72ce104182e5a
title: Boundaries of the designated 30m Ipswich Watershed Study Area - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This raster digital data is the extent of the Ipswich Project study area as determined by Clark University in a collaborative effort with Marine Biological Laboratory and University of New Hampshire. This image should be used as a base for all new raster data.
DOI: 10.5281/zenodo.3358168
title: Banco de Dados II - Especialistas

description: <pre>This is a Database of 22 questions focused on the perception of Health / Education / Social Care Experts regarding possible causal relationships between the following attributes: teenage pregnancy, truancy, presence in the labor market, financial reality where the adolescent lives, ethnic group, age, gender and maternal factor (phenomenon of the adolescent mother having experienced pregnancy also in adolescence). This database contains 13 respondents: 03 Doctors, 03 Nurses, 04 Psychologists, 02 Teachers, and 01 Pedagogue. The collection was done via Google forms and did not allow the identification of respondents, being recorded only the perceptions regarding each question.</pre>
DOI: 10.5281/zenodo.3358169
title: Banco de Dados II - Especialistas

description: <pre>This is a Database of 22 questions focused on the perception of Health / Education / Social Care Experts regarding possible causal relationships between the following attributes: teenage pregnancy, truancy, presence in the labor market, financial reality where the adolescent lives, ethnic group, age, gender and maternal factor (phenomenon of the adolescent mother having experienced pregnancy also in adolescence). This database contains 13 respondents: 03 Doctors, 03 Nurses, 04 Psychologists, 02 Teachers, and 01 Pedagogue. The collection was done via Google forms and did not allow the identification of respondents, being recorded only the perceptions regarding each question.</pre>
DOI: 10.18112/openneuro.ds002041.v1.1.0
title: Mesolimbic dopamine D2 receptors and neural representations of subjective value
DOI: 10.6073/pasta/2259d73154b80f480d926f9bcff6532d
title: Compilation of Land Use Data in 21 and 37 Category Classifications - Ipswich and Parker River Watersheds - 1971, 1985, 1991, and 1999 - Vector Shapefile.

description: The MassGIS Land Use datalayer has 37 land use classifications interpreted from 1:25,000 aerial photography. This layer contains data for 21 and 37 category classifications for the years of 1971, 1985, 1991, and 1999. Coverage is complete for all towns that fall partially or completely within the Ipswich River and/or Parker River watersheds. Data compiled for 1971, 1985, 1991, and 1999.
DOI: 10.6073/pasta/df2a2ee7c4beedccc61b9bb89c53e420
title: Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
DOI: 10.6073/pasta/ef1c554233e869e4e84cb9b92ed1de79
title: Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1971 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1971. This datalayer has complete information.
DOI: 10.6073/pasta/435d444e3c6bca065340fd8b8439dad9
title: Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
DOI: 10.6073/pasta/7c3684f75bf4c56a731a725b68868ed0
title: Land Use, 21 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 21 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information.
DOI: 10.6073/pasta/461e843d64b9a241c57490bc3217a1ff
title: Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
DOI: 10.6073/pasta/efb3d24c5a36104372c7900da2101056
title: Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
DOI: 10.6073/pasta/4116962a0a00da26b29c09253deae3ed
title: Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1985 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1985. This datalayer has complete information.
DOI: 10.6073/pasta/5aec32b769d17fbbe6e80b7c08d0e416
title: Land Use, 37 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 37 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information. Provide land use information for general mapping and display, and landuse change analysis.
DOI: 10.6073/pasta/5f197db0b890a875d4177a8f6feee10c
title: Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1971 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1971. This datalayer has complete information.
DOI: 10.6073/pasta/b01329170c903036c4e6e5dc70bcb583
title: Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1991 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1991. This datalayer has complete information.
DOI: 10.6073/pasta/79c0c03c3467bf03e53c1de508e30f04
title: Boundaries of the designated study area - Ipswich and Parker River Watersheds - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole. This layer shows a mask of the Plum Island Ecosystems (PIE) study area, for use with the corresponding land use maps. This datalayer has complete information. Display study area.
DOI: 10.6073/pasta/8f542c7edd77147e4dbedbd9cc7540b4
title: Land Use, Anderson Level I, 7 Categories - Ipswich and Parker River Watersheds - 1999 - Idrisi Raster File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for the Marine Biological Laboratory (MBL) in Woods Hole, MA. This layer shows the land use, 7 categories, for the towns in the Ipswich River Watershed and the Parker River Watershed for 1999. This datalayer has complete information.
DOI: 10.6073/pasta/e54c591f53f1d72edf320a37ae8f37fa
title: Boundaries of the designated study area - Ipswich and Parker River Watersheds - Idrisi Vector File.

description: This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This layer was created in July 2006 for Marine Biological Laboratory (MBL) in Woods Hole. This layer shows the boundaries of the PIE study area. This datalayer has complete information. Display boundaries for the study area.
DOI: 10.25919/5d43840c84a41
title: Parkes observations for project P958 semester 2019APRS_57

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/ac012398598c602c8a51ea8247a99322
title: MCR LTER: Coral Reef: Long-term Community Dynamics: Backreef (Lagoon) Corals Annual Survey, ongoing since 2005

description: This dataset contains the percentage cover of all stony corals (Scleractinia, pooled among genera) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats at the Backreef habitat at the Moorea Coral Reef LTER, French Polynesia. This survey time series began in 2005 and is repeated each year in April. Functional groups counted are: Scleractinian corals, Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all represented habitats surrounding the island: Fringing Reef, Lagoon, and Outer Reef. This dataset contains only Lagoon (Backreef) data (see knb-lter-mcr.4 for the other habitats) and is structured in a repeated-measures protocol to allow a statistical contrast of sites, shores and times. Community structure was determined through a coarse analysis of the benthic community, initially completed in situ (2005), but using photoquadrats from 2006. There are quadrats analyzed at each of five areas within each site, and the areas are revisited (but not the quadrats) each year to support the repeated measures design. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each observed object. Detailed methods are available in the protocols section. 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 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.21227/4tjz-y484
title: Photoacoustic Source Detection and Reflection Artifact Deep Learning Dataset

description: Interventional applications of photoacoustic imaging typically require visualization of point-like targets, such as the small, circular, cross-sectional tips of needles, catheters, or brachytherapy seeds. When these point-like targets are imaged in the presence of highly echogenic structures, the resulting photoacoustic wave creates a reflection artifact that may appear as a true signal. We propose to use deep learning techniques to identify these type of noise artifacts for removal in experimental photoacoustic data. To achieve this goal, a convolutional neural network (CNN) was first trained to locate and classify sources and artifacts in pre-beamformed data simulated with k-Wave. Simulations initially contained one source and one artifact with various medium sound speeds and 2D target locations. Based on 3,468 test images, we achieved a 100% success rate in classifying both sources and artifacts. After adding noise to assess potential performance in more realistic imaging environments, we achieved at least 98% success rates for channel signal-to-noise ratios (SNRs) of -9dB or greater, with a severe decrease in performance below -21dB channel SNR. We then explored training with multiple sources and two types of acoustic receivers and achieved similar success with detecting point sources. Networks trained with simulated data were then transferred to experimental waterbath and phantom data with 100% and 96.67% source classification accuracy, respectively (particularly when networks were tested at depths that were included during training). The corresponding mean ± one standard deviation of the point source location error was 0.40 ± 0.22 mm and 0.38 ± 0.25 mm for waterbath and phantom experimental data, respectively, which provides some indication of the resolution limits of our new CNN-based imaging system. We finally show that the CNN- based information can be displayed in a novel artifact-free image format, enabling us to effectively remove reflection artifacts from photoacoustic images, which is not possible with traditional geometry-based beamforming.
DOI: 10.17632/ns8ghs8k87.1
title: Data for: Agricultural productivity evolution in China: A generalized decomposition of the Luenberger-Hicks-Moorsteen productivity indicator

description: Agricultural inputs and output by province for China over the period 1997-2014. The data on inputs and output were collected from the China official statistical database (National Bureau of Statistics of China, 2017); see http://data.stats.gov.cn/english/index.htm.
DOI: 10.17632/zc47py3tk9.1
title: Data for: Variations in Pediatric Hospitalization in Seven European Countries

description: The data in this article were used in the research article “Variations in Pediatric Hospitalization in Seven European Countries”.1 The data presents standardized in-patient admissions and total bed days for pediatric populations in seven countries. The data is disaggregated by diagnostic categories and age-groups. There is also an algorithm used to assign International Classification of Disease (ICD-9 and ICD-10) and the International Shortlist for Hospital Morbidity Tabulation (ISHMT) morbidity codes to diagnostic categories, which correspond to typical clinical departments. The data are being made publically available to facilitate more cross-country comparative analysis of the health utilization by different sub-populations.
DOI: 10.17632/752yt5x88c.1
title: Data for: A Prediction Model of the Shortest Drilling Time for Horizontal Section in Extended-Reach Well

description: Data of Figs 3 and 5 for the manuscript titled “A Prediction Model of the Shortest Drilling Time for Horizontal Section in Extended-Reach Well”.
DOI: 10.5281/zenodo.3354634
title: Measuring similarity between gene interaction profiles

description: This repository contains the following: Original genetic interaction score matrices for the genes. Also contains a binarized version of this data based on a threshold of 0.05, for use in the binary distance measures. The distance measure matrices that were calculated based on the genetic interaction score matrices; Pearson, Maryland bridge, Ochiai, and Braun-Blanquet matrices for the one-square case and the same for the two-squares case. Lists of all the genes used. Lists of modules for each of the eight distance measure matrices, with the genes for each. Summary statistics for the two-squares distance matrices, network and module summary statistics for the two-squares modules, and stats on how many modules for each of the eight different module clusterings could be mapped to subnetworks found in Tong et al. (reference 14 in the paper). A figure containing distribution of distance measure values for the two-square distance matrices. View the readme file for full details.
DOI: 10.5281/zenodo.3354635
title: Measuring similarity between gene interaction profiles

description: This repository contains the following: Original genetic interaction score matrices for the genes. Also contains a binarized version of this data based on a threshold of 0.05, for use in the binary distance measures. The distance measure matrices that were calculated based on the genetic interaction score matrices; Pearson, Maryland bridge, Ochiai, and Braun-Blanquet matrices for the one-square case and the same for the two-squares case. Lists of all the genes used. Lists of modules for each of the eight distance measure matrices, with the genes for each. Summary statistics for the two-squares distance matrices, network and module summary statistics for the two-squares modules, and stats on how many modules for each of the eight different module clusterings could be mapped to subnetworks found in Tong et al. (reference 14 in the paper). A figure containing distribution of distance measure values for the two-square distance matrices. View the readme file for full details.