cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/xceqkb
title: The emerging vertebrate model species for neurophysiological studies is Danionella cerebrum, new species (Teleostei: Cyprinidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Britz, Ralf, Conway, Kevin W., Rüber, Lukas (2021): The emerging vertebrate model species for neurophysiological studies is Danionella cerebrum, new species (Teleostei: Cyprinidae). Scientific Reports 11 (1), No. 18942: 364001, DOI: 10.1038/s41598-021-97600-0, URL: http://dx.doi.org/10.1038/s41598-021-97600-0
DOI: 10.34740/kaggle/dsv/2642715
title: COVID Vaccination in World (updated daily)
DOI: 10.25398/rd.northumbria.16654846.v1
title: The association between ASMR, neuroticism, state, and trait anxiety.

description: The data set represents a study of ASMR, neuroticism, state, and trait anxiety. The study measured these metrics pre- and post exposure to ASMR videos in order to characterise traits reflective of individuals who can experience ASMR along with any changes in acute state anxiety due to watching ASMR videos.
DOI: 10.25398/rd.northumbria.16654846
title: The association between ASMR, neuroticism, state, and trait anxiety.

description: The data set represents a study of ASMR, neuroticism, state, and trait anxiety. The study measured these metrics pre- and post exposure to ASMR videos in order to characterise traits reflective of individuals who can experience ASMR along with any changes in acute state anxiety due to watching ASMR videos.
DOI: 10.6084/m9.figshare.16669735.v1
title: communication task private data

description: Raw data files for communication task, produced by custom experiment control script (python). <br><br>Folder structure:<br>touchcomm-psci/data/private/<br>comm_expt1-raw/<br>+ 2017-08-09 to 2017-10-18<br><br>comm_expt2-raw/<br>+ 2017-11-06 to 2017-12-22<br>comm_expt3-raw/+ 2018-01-31 to 2018-03-19<br>comm_expt4-raw/+ 2018-03-22 to 2018-04-12<br>
DOI: 10.5281/zenodo.5524386
title: INMET data - "Intensification of heatwaves by soil moisture–atmosphere coupling in Southeast Brazil"

description: Time series of Daily Maximum Temperature values from two meteorological stations from INMET (Brazilian National Institute of Meteorology) located in São Paulo and Curitiba.
DOI: 10.5281/zenodo.5524385
title: INMET data - "Intensification of heatwaves by soil moisture–atmosphere coupling in Southeast Brazil"

description: Time series of Daily Maximum Temperature values from two meteorological stations from INMET (Brazilian National Institute of Meteorology) located in São Paulo and Curitiba.
DOI: 10.5281/zenodo.5167211
title: Data for: High-order geometric integrators for representation-free Ehrenfest dynamics

description: Data for publication: S. Choi and J. Vaníček, High-order geometric integrators for representation-free Ehrenfest dynamics, J. Chem. Phys. 155, 124104 (2021). Contains the data for reproducing the figures in the above-mentioned publication.
DOI: 10.5281/zenodo.5167210
title: Data for: High-order geometric integrators for representation-free Ehrenfest dynamics

description: Data for publication: S. Choi and J. Vaníček, High-order geometric integrators for representation-free Ehrenfest dynamics, J. Chem. Phys. 155, 124104 (2021). Contains the data for reproducing the figures in the above-mentioned publication.
DOI: 10.5066/p9ueg9q1
title: Mercury and Methylmercury Stable Isotope Measurements in Giant Petrels

description: Methylmercury (MeHg) and total mercury (HgT) stable isotope measurements were made by the USGS Mercury Research Lab (MRL) in different organs on the Giant Petrels (Macronectes spp.) to examine internal mercury cycling in these seabirds. These data were collected as a compliment to x-ray spectroscopy measurements made by the University of Grenoble, France. The tissues and feathers of the southern giant petrels exhibit large variability in mercury-202 isotope values (?202HgT), which are typically used to ascertain Hg sources in the environment. These values follow a pattern across all individuals based on tissue type: feathers (?202HgT = 2.74 � 0.16?, n =5, mean � standard deviation) greater than brain (?202HgT = 1.09 � 0.77?, n = 3) greater than liver (?202HgT = 0.04 � 0.11?, n = 5) greater than kidneys (?202HgT= 0.01 � 0.25?, n = 5) greater than muscle (?202HgT = -0.80 � 0.23?, n = 5). The ?202HgT for liver tissues are within the range of literature data for seabirds (?0.64? less than ?202Hgl less than 0.68?), whereas ?202Hg for feathers are modestly higher than those measured previously for seabirds (1.10? less than ?202Hgf less than 2.35?). Notably, muscle tissues exhibit considerably lower ?202HgT values than liver tissues (on average 0.84?), counter to observations to other birds and mammals, and were as much as ~?4? enriched in light isotopes compared to feathers. The ?202MeHg values, associated with just the MeHg contents within the tissues, for organs and feathers were constrained between 0.90 and 3.05 ? (n =9).
DOI: 10.5281/zenodo.5523254
title: Dataset Used in "Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes"

description: This is the dataset used in Ding, Zeng, and Zhou, 2006, “Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes.” <em>Journal of Quality Technology</em>, Vol. 38(3), pp. 199-216. This data file has 528 data records, two fewer than the 530 number mentioned in the paper.
description: {"references": ["Ding, Zeng, and Zhou, 2006, \"Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes.\" Journal of Quality Technology, Vol. 38(3), pp. 199-216."]}
DOI: 10.5281/zenodo.5523253
title: Dataset Used in "Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes"

description: This is the dataset used in Ding, Zeng, and Zhou, 2006, “Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes.” <em>Journal of Quality Technology</em>, Vol. 38(3), pp. 199-216. This data file has 528 data records, two fewer than the 530 number mentioned in the paper.
description: {"references": ["Ding, Zeng, and Zhou, 2006, \"Phase-I analysis for monitoring nonlinear profile signals in manufacturing processes.\" Journal of Quality Technology, Vol. 38(3), pp. 199-216."]}
DOI: 10.3886/e141881
title: Data for: "Jobs for Sale: Corruption and Misallocation in Hiring"

description: Corrupt government hiring is common in developing countries. This paper uses original data to document the operation and consequences of corrupt hiring in a health bureaucracy. Hires pay bribes averaging 17 months of salary, but contrary to conventional wisdom, their observable quality is comparable to counterfactual merit-based hires. Exploiting variation across jobs, I show that the consequences of corrupt allocations depend on the correlation between wealth and quality among applicants: service delivery outcomes are good for jobs where this was positive and poor when negative. In this setting, the parameter was typically positive, leading to relatively good performance of hires.
description: Community health workers in study area.
DOI: 10.3886/e141881v1
title: Data for: "Jobs for Sale: Corruption and Misallocation in Hiring"

description: Corrupt government hiring is common in developing countries. This paper uses original data to document the operation and consequences of corrupt hiring in a health bureaucracy. Hires pay bribes averaging 17 months of salary, but contrary to conventional wisdom, their observable quality is comparable to counterfactual merit-based hires. Exploiting variation across jobs, I show that the consequences of corrupt allocations depend on the correlation between wealth and quality among applicants: service delivery outcomes are good for jobs where this was positive and poor when negative. In this setting, the parameter was typically positive, leading to relatively good performance of hires.
description: Community health workers in study area.
DOI: 10.6073/pasta/64ce4692762ae512925f5cac4d91d8d1
title: Biocomplexity at North Temperate Lakes LTER; Whole Lake Manipulations: Exotic Crayfish Removal 2001 - 2010

description: As part of a whole-lake experiment to overexploit a rusty crayfish (O. rusticus) population in Sparkling Lake, Vilas County, Wisconsin, crayfish were intensively trapped and removed from the lake from early to mid June through late August starting from 2001through 2008. From 2001 to 2004, removal traps were concentrated on the southern and western shorelines of the lake, where cobble is prevalent and catch rates were highest. Starting in 2005, additional traps were used and trapping effort was spread around the entire perimeter of the lake. Additional traps (perimeter) were set on standard arrays at 43 sites around the lake at 1 m deep from 2001 through 2006. In 2001 and 2003, traps (depth transect) were also set on standard arrays that ranged from 0.5 to 12 m deep. From 2001-2004, trap_site corresponds to one of the 43 standard sites where the trap was set. For perimeter and depth transect trapping, one trap is set at a trap site. During the removal trapping, 10 traps are set at each of the standard trapping sites. The trap_id identifier contains more information about the spatial location of a removal trap. From 2005-2008, traps were numbered sequentially moving clockwise around the lake starting at site 1, with no reference to standard trapping sites from previous years. In 2009, traps were set at the 43 standard sites. Capture data were recorded in 2009 but crayfish were not removed. Daily catch statistics: The data table Crayfish Daily Capture Summary provides the number of each species captured each day in the perimeter and removal traps. Also included are data on the number of traps pulled on that day and the number of trap_days these traps represent. These data can be used to calculate capture rates. The data table Crayfish Daily Capture by Station has daily catch statictics for 2009 at the capture site level. Crayfish length measurements: Prior to 2005, a crayfish that was measured could be associated with the specific trap in which it was captured. These length data are included in the Crayfish Individual data table. Starting in 2005, carapace measurements were only taken on 50 randomly selected O. rusticus individuals each day. The data table Crayfish Carapace Length contains these data which are not associated with specific traps. Trap site locations: The data table Sparkling Lake Crayfish Trap Sites contains the location of the 43 standard crayfish trap sites. See Crayfish Removal Protocol for further explanation of TECHNIQUE and TRAP_ID fields. Number of sites: 43 trap sites Sampling Frequency: annually during summer
DOI: 10.5281/zenodo.5524753
title: Dataset for "Bayesian hierarchical models for combining misaligned two-resolution metrology data"

description: This file contains the datasets used in the paper, Xia, Ding, and Mallick, 2011, “Bayesian hierarchical models for combining misaligned two-resolution metrology data,” <em>IIE Transactions</em>, Vol. 43, pp. 242 – 258.
description: {"references": ["Xia, Ding, and Mallick, 2011, \"Bayesian hierarchical models for combining misaligned two-resolution metrology data,\" IIE Transactions, Vol. 43, pp. 242 \u2013 258"]}
DOI: 10.5281/zenodo.5524752
title: Dataset for "Bayesian hierarchical models for combining misaligned two-resolution metrology data"

description: This file contains the datasets used in the paper, Xia, Ding, and Mallick, 2011, “Bayesian hierarchical models for combining misaligned two-resolution metrology data,” <em>IIE Transactions</em>, Vol. 43, pp. 242 – 258.
description: {"references": ["Xia, Ding, and Mallick, 2011, \"Bayesian hierarchical models for combining misaligned two-resolution metrology data,\" IIE Transactions, Vol. 43, pp. 242 \u2013 258"]}
DOI: 10.5281/zenodo.5524615
title: Nedystoma dayi RB0466 ARBOR SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5524614
title: Nedystoma dayi RB0466 ARBOR SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5524781
title: Meier

description: h
DOI: 10.5281/zenodo.5524780
title: Meier

description: h
DOI: 10.5281/zenodo.5520109
title: Upper Penticton Creek Watershed Experiment -- Data Repository

description: Data sets collected as part of the Upper Penticton Creek Watershed Experiment. Additional data sets are available, which will be included in future updates of the repository. Please see <strong>upc_data_description_2021Sept22.html</strong> for descriptions of the data sets currently included in the repository, including metadata and photographs of instrumentation and study sites. You cannot directly open this file in a browser by clicking on the link on this page. You will need to download the file to your local hard drive, then open the file within a browser. This version differs from version 1.1 in that the catchment boundaries for all three catchments are now based on the 1-m Lidar DEM. In the earlier versions, the catchments for 240 and 241 Creeks were based on the Canadian DEM.
DOI: 10.5281/zenodo.4456139
title: Upper Penticton Creek Watershed Experiment -- Data Repository

description: Data sets collected as part of the Upper Penticton Creek Watershed Experiment. Additional data sets are available, which will be included in future updates of the repository. Please see <strong>upc_data_description_2021Sept22.html</strong> for descriptions of the data sets currently included in the repository, including metadata and photographs of instrumentation and study sites. You cannot directly open this file in a browser by clicking on the link on this page. You will need to download the file to your local hard drive, then open the file within a browser. This version differs from version 1.1 in that the catchment boundaries for all three catchments are now based on the 1-m Lidar DEM. In the earlier versions, the catchments for 240 and 241 Creeks were based on the Canadian DEM.
DOI: 10.6084/m9.figshare.16669237
title: S2.2_Table

description: Chapter 2, Supplementary Table 2
DOI: 10.6084/m9.figshare.16669237.v1
title: S2.2_Table

description: Chapter 2, Supplementary Table 2
DOI: 10.5519/qd.uc2wvmjp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.5066/p9morfd3
title: Model Archive Summary for Surrogate Regression of Fine-Sediment Particles for Lake Tahoe Tributaries

description: This USGS data release presents Model Archive Summaries (MAS) and tabular calibration data used to develop surrogate regressions to estimate fine sediment particles flowing into Lake Tahoe. Fine sediment particles in the size range of 0.5 to 16.0 micrometers (&#956;m) represent the primary size range of suspended sediment responsible for clarity reduction in Lake Tahoe. Models will be used to create estimates of tributary fine sediment particles flowing into Lake Tahoe and to better understand the linkage of annual sediment loads and lake clarity. Surrogate regression models were developed for site-specific monitoring locations within the Lake Tahoe Interagency Monitoring Program (LTIMP) and archived individually as separate child items. This ScienceBase data release is intended to be an ongoing reference, which will be re-evaluated and updated annually based on USGS policy. Child items represent repositories of MAS and tabular calibration data for the following LTIMP sites: (1) 10336610 UPPER TRUCKEE RIVER AT SOUTH LAKE TAHOE, CA (2) 10336645 GENERAL CREEK NR MEEKS BAY CA* (3) 10336660 BLACKWOOD CREEK NR TAHOE CITY CA* (4) 10336676 WARD CREEK AT HWY 89 NR TAHOE PINES CA* (5) 10336698 THIRD CREEK NR CRYSTAL BAY, NV* (6) 10336700 INCLINE CREEK NR CRYSTAL BAY, NV* (7) 10336790 TROUT CREEK SOUTH LAKE TAHOE CA* *, indicates site regression is in development
DOI: 10.6084/m9.figshare.16669246
title: S2.1_Table

description: Chapter 2, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669246.v1
title: S2.1_Table

description: Chapter 2, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669909
title: S2.1_Table

description: Chapter 2, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669909.v1
title: S2.1_Table

description: Chapter 2, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669300
title: S2.8_Table

description: Chapter 2, Supplementary Table 8
DOI: 10.6084/m9.figshare.16669300.v1
title: S2.8_Table

description: Chapter 2, Supplementary Table 8
DOI: 10.6084/m9.figshare.16669282
title: S2.3_Table

description: Chapter 2, Supplementary Table 3
DOI: 10.15139/s3/akxrlv
title: PST Literacy Assessment

description: This dataset contains PST Literacy assessment data.
DOI: 10.6084/m9.figshare.16669282.v1
title: S2.3_Table

description: Chapter 2, Supplementary Table 3
DOI: 10.6084/m9.figshare.16669285
title: S2.4_Table

description: Chapter 2, Supplementary Table 4
DOI: 10.6084/m9.figshare.16669285.v1
title: S2.4_Table

description: Chapter 2, Supplementary Table 4
DOI: 10.6084/m9.figshare.16669291.v1
title: S2.5_Table

description: Chapter 2, Supplementary Table 5
DOI: 10.6084/m9.figshare.16669291
title: S2.5_Table

description: Chapter 2, Supplementary Table 5
DOI: 10.6084/m9.figshare.16669294.v1
title: S2.6_Table

description: Chapter 2, Supplementary Table 6
DOI: 10.6084/m9.figshare.16669294
title: S2.6_Table

description: Chapter 2, Supplementary Table 6
DOI: 10.6084/m9.figshare.16669297
title: S2.7_Table

description: Chapter 2, Supplementary Table 7
DOI: 10.6084/m9.figshare.16669297.v1
title: S2.7_Table

description: Chapter 2, Supplementary Table 7
DOI: 10.6084/m9.figshare.16669864.v1
title: S3.1_Table

description: Chapter 3, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669864
title: S3.1_Table

description: Chapter 3, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669873
title: S3.2_Table

description: Chapter 3, Supplementary Table 2
DOI: 10.6084/m9.figshare.16669873.v1
title: S3.2_Table

description: Chapter 3, Supplementary Table 2
DOI: 10.6084/m9.figshare.16669876.v1
title: S3.3_Table

description: Chapter 3, Supplementary Table 3
DOI: 10.6084/m9.figshare.16669876
title: S3.3_Table

description: Chapter 3, Supplementary Table 3
DOI: 10.6084/m9.figshare.16669900
title: S3.4_Table

description: Chapter 3, Supplementary Table 4
DOI: 10.6084/m9.figshare.16670518.v1
title: communication task processed data

description: Performance metrics including F1 score calculated per participant, per cued word. One file for each experiment, and additionally performance over time calculated for experiments 3 and 4 combined. <br><br>Folder structure:<br>touchcomm-psci/data/processed/
DOI: 10.6084/m9.figshare.16670518
title: communication task processed data

description: Performance metrics including F1 score calculated per participant, per cued word. One file for each experiment, and additionally performance over time calculated for experiments 3 and 4 combined. <br><br>Folder structure:<br>touchcomm-psci/data/processed/
DOI: 10.6084/m9.figshare.16669921
title: S4.1_Table

description: Chapter 4, Supplementary Table 1
DOI: 10.6084/m9.figshare.16669921.v1
title: S4.1_Table

description: Chapter 4, Supplementary Table 1
DOI: 10.5063/d798vh
title: Data for the case study described in Luypaert et al. (2021) - A framework for the quantification of functional soundscape diversity using Hill numbers

description: This data was used to construct the case study in:ENTER FULL REFERENCE HERE ONCE PUBLISHEDUPDATE THIS INFORMATION LATER ON: 1. Frog incidence frequency dataThis data represents a subset of the data described in:Bueno, A. S., Masseli, G. S., Kaefer, I. L., & Peres, C. A. (2020). Sampling design may obscure species–area relationships in landscape‐scale field studies.Ecography, 43(1), 107-118.The data consists of a subset of 105 sites on 62 forest islands and 4 continuous forest sites.The data was obtained for the project Ecological Impacts of River Damming on Forest Bird Assemblages in the Brazilian Amazon. Find out more at https://www.rufford.org/projects/anderson_saldanha_bueno.Raw data files corresponding to these frog observations are available for inspection on the ARBIMON platform:https://arbimon.rfcx.org/project/soundscape-frogdiv-relationship2. Acoustic index dataFor the purposes of the case study described in Luypaert et al. (2021), the Acoustic Cover (CVR) index was used. The CVR-index was computed using a sampling rate of 41,000 Hz and a window size of 256. Indices were computed in the R programming language using the 'index_calc' function in the soundscapeR package (https://github.com/ThomasLuypaert/soundscapeR), which in turn calls on the QUT Ecoacoustics Analysis Programs software for its index computations (https://ap.qut.ecoacoustics.info/tutorials/01-usingap/practical?tabs=windows).
DOI: 10.6084/m9.figshare.16669927
title: S4.2_Table

description: Chapter 4, Supplementary Table 2
DOI: 10.6084/m9.figshare.16669927.v1
title: S4.2_Table

description: Chapter 4, Supplementary Table 2
DOI: 10.5281/zenodo.5524776
title: Dataset supplements to Wang et al Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations

description: This dataset is supplemented to Wang, Y., Willett, S., Wu, D., Haghipour, N., & Christl, M. (2021). Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations. https://doi.org/10.1002/essoar.10507366.1. (in revision and under consideration at G-Cubed).
DOI: 10.5281/zenodo.5524775
title: Dataset supplements to Wang et al Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations

description: This dataset is supplemented to Wang, Y., Willett, S., Wu, D., Haghipour, N., & Christl, M. (2021). Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations. https://doi.org/10.1002/essoar.10507366.1. (in revision and under consideration at G-Cubed).
DOI: 10.6084/m9.figshare.16669930
title: S4.3_Table

description: Chapter 4, Supplementary Table 3
DOI: 10.6084/m9.figshare.16669930.v1
title: S4.3_Table

description: Chapter 4, Supplementary Table 3
DOI: 10.6084/m9.figshare.16669933
title: S4.4_Table

description: Chapter 4, Supplementary Table 4
DOI: 10.6084/m9.figshare.16669933.v1
title: S4.4_Table

description: Chapter 4, Supplementary Table 4
DOI: 10.6084/m9.figshare.16669936.v1
title: S4.5_Table

description: Chapter 4, Supplementary Table 5
DOI: 10.6084/m9.figshare.16669936
title: S4.5_Table

description: Chapter 4, Supplementary Table 5
DOI: 10.6084/m9.figshare.16669939.v1
title: S4.6_Table

description: Chapter 4, Supplementary Table 6
DOI: 10.6084/m9.figshare.16669939
title: S4.6_Table

description: Chapter 4, Supplementary Table 6
DOI: 10.26300/c1n7-7p93
title: Brown Pedestrian Odometry Dataset (BPOD)