cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080304.50.2
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-03-04. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080413.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080413.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-04-13. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080413.50.2
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-04-13. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080506.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080506.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-05-06. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080506.50.2
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-05-06. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080606.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080606.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-06-06. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080606.50.2
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-06-06. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080621.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080621.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-06-21. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080621.50.2
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using StowAway Tidbit Temperature Logger (Onset Computer Corp. TBI32-05+37) beginning 2008-06-21. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20080827.40.1
title: (:unkn)
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20030912.50.2
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-12. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20030912.50.3
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-12. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20030912.50.4
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-12. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20030912.50.5
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-09-12. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.40.1
title: (:unkn)
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.40.2
title: (:unkn)
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.50.1
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-10-21. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.50.2
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-10-21. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.50.3
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-10-21. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/hazxxx_015mtbd009r00_20031021.50.4
title: PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (HAZ)

description: This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2003-10-21. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.7302/0jmy-pa60
title: A numerical study of SMART Cables potential in marine hazard early warning for the Sumatra and Java regions

description: We carry out a set of exploratory numerical experiments based on ocean
bottom pressure and seismic data from a simulated linear array of SMART (Scientific Monitoring And Reliable Telecommunication) cable stations
off the trench in the Sumatra-Java region. We use a set of earthquake rupture as well as submarine landslide scenarios to calculate tsunami propagation via hydrodynamic simulations. We also investigate the contribution of SMART stations to improvement of earthquake early warning by calculating the arrival times of seismic phases.

Existing telecom cables can also contribute to the SMART network, if they are equipped with scientific sensors and repeaters.

In this study we use the MOST (Method of Splitting Tsunami;  Titov et al, 2016) to simulate tsunamis, and the TauP toolkit (Crotwell et al, 1999) to calculate seismic arrival times.

This study was supported by grants from National Science Foundation
(PREEVENTS geosciences directorate No. 1663769) and NASA JPL (Award NNN13D462T).

- Crotwell, H.P., Owens, T.J. and Ritsema, J., 1999. The TauP Toolkit: Flexible seismic travel-time and ray-path utilities. Seismological Research Letters, 70(2), pp.154-160.
Titov, V., Kânoğlu, U. and Synolakis, C.E., 2016, Development of MOST for real-time tsunami forecasting. J Waterw Port Coast Ocean Eng 142:03116004-1–03116004-16
description: Nominal subsea cables are interpolated to 1 degree spacing.
DOI: 10.7302/6ear-hg92
title: Central Mali agriculture documentaries

description: Videos produced in the course of linguistic fieldwork. Most are presented here in three different video formats. "Gardening Diondiori" illustrates dry-season farming mostly of cash crops using ground water (springs, drying ponds and rivers, underground water sources). The other videos in this block are of ordinary rainwater agriculture done in the rainy season, featuring Dogon people and, in the case of "Rice harvest and threshing," Bangande (speakers of Bangime), who have the same agricultural methods. The principal rainy season crop in the zone is millet (Cenchrus spicatus), but most of the documentaries here are about secondary crops (cowpea, fonio, groundnut, peanut, groundnut, roselle, rice, sesame, sweet potato). "Driving off grain-eating birds" is based on an unsteady cellphone video brought to us, except for the final segments which we shot. 
description: shooting video footage and editing into documentaries.
DOI: 10.7302/2a4k-yb72
title: Tomo Kan-speaking (Dogon, Mali) village photos

description: Images of villages in Mali in which Tomo Kan(Dogon family) is the primary language. Each file name contains important information about the photos, and are structured thus: LanguageFamily_Language_IdentificationNumber_GeographicCoordinate_Description_Date_InitialsOfThePhotographer
description: Photography
DOI: 10.7302/1jy3-s163
title: Code and accompanying input data for simulating lateral inhibition on motionless cell packing

description: This dataset includes an example cell packing (containing ~20,000 cells). This example cell packing is the same cell packing in Supplementary Figure 11.

The Corson_PBC_Square_Sweep_func.m is the main function for simulating lateral inhibition on this (and other) example packings.

Please see readme for which simulation parameters may be tuned within this lateral inhibition function.
description: Numerical solutions of lateral inhibition on disordered cell packing:
Starting with a Voronoi tessellation of uniformly (randomly) distributed points, we generated large, disordered, periodic cell packings (e.g., 20,000 total cells) via vertex model simulations with equal tensions on all edges. We model dynamics of individual cell fates on the static cell packing according to the model described in Corson et al., but do not include noise in the dynamics (D=0). Since we changed some aspects of the model, including the external signaling gradient and the noise in fate, we describe the model below for the sake of clarity. The fate of cell i, u_i, evolves as:
τ (du_i)/dt=f(u_i,s_i )-u_i
where s_i is the signal each cell receives from other cells as well as from any external gradients. We interpret the u=1 fate as the UV cone spectral subtype and the u=0 fate to be other spectral subtypes. Also, f(u,s) is sigmoidal: f(u,s)≡f(u-s)=σ[2(u-s)]=((1+tanh⁡(2(2(u-s))) ))/2  .
The signal that cell i receives, s_i, includes an external, time-dependent signal s_0 (x,t) as well as signals from neighboring cells in a distance-dependent manner.
s_i=s_0 (x_i,t)+∑_j〖c_ij D^* (u_j ) 〗
The external signal provided to the cells has the following form: s_0 (x,t)=S_0 σ((x-vt)/(ϵ√(A_0 )))≡S_0 ((1+tanh⁡(2(x-vt)/(ϵ√(A_0 ))))/2) where S_0=1 and v=l/4τ and ϵ=1/50. τ is the timescale for cell fate dynamics, and l is the characteristic cell-cell signaling range. The distance-dependent coupling constant c_ij between cell i and cell j is of the form: c_ij=e^(-〖d_ij〗^2/(2l^2)), where d_ij is the distance between the centroids of cell i and cell j. No cell signals to itself directly: c_ii=0. 
A cell of fate u_j produces signal D^* (u_j )=a(u_j )D(u_j ). The ligand level of cell j, D(u_j ), is directly proportional to the fate u_j. The ligand activity of cell j, called a(u_j ), is of the form: a(u_j )=a_0+(3u^3)/(1+u^2 ) a_1. The constants a_0 and a_1 are 0.05 and 0.95, respectively. 
To explore the effects of cell-cell signaling range on the final fate pattern, we systemically change the signaling range l from l=3.0√(A_0 ) to l=1.75√(A_0 ) to l=√(A_0 ), where A_0 is the mean cell area. All cells are initially in the u=0 state. The sigmoidal signaling front, sharper than the characteristic cell size, starts at left side of the packing (x=0 at t=0) and moves to the right. In the wake of the front, individual cells differentiate into the u≈1 fate, inhibiting their neighbors from adopting the u≈1 fate within the specified cell-cell signaling range. We solve the differential equations for cell fates using ode45 (MATLAB 2016B, MathWorks).
DOI: 10.7302/vrgz-p348
title: Bangime audio 2015 text 02 Chief and Pauper

description: translation/transcription to appear
description: audio recording on MacBook laptop
DOI: 10.7302/kpft-b014
title: Data Fusion of AIS and LPMS data on the Great Lakes used to assess Maritime Transport Efficiency

description: This data was collected and processed as part of ongoing research to characterize waterway infrastructure performance in the Great Lakes.  These dataset enable researchers to evaluate both travel time and vessel carrying capacity in the waterway.;I assembled AIS data from the MarineCadastre website for UTM Zones 15-18 for the years 2015-2017 available in csv format.  I combined files for Navigation Seasons, defined as March to January and clipped data for a set of predefined features using a python code (AIS Data Processor.ipynb).  The code writes the appended and clipped files to csv for a single Navigation Year.  The written files are submitted here:   
Trimmed_NY2015_new.csv (n=13,228,824); 
Trimmed_NY2016_new.csv (n=18,782,779); 
Trimmed_NY2017_new.csv (n=16,816,603);Data fusion of AIS and LPMS used the following algorithm for a subset of 30 vessels on the waterway.  Let A be the original AIS data and let B be the subset of records for vessel i within geographic feature j.  The script for this analysis is attached (Maritime Data Fusion.ipynb);For Connecting Channels and select segments of the Great Lakes: 1. Subset A for vessel i.  Let B_i⊆A | 2. Subset B_i in geographic feature, Gj.  Let B_ij⊆B_i | 3. Select tmin for each unique date or any consecutive dates, record as vessel i arrival to feature j, b_ijt | 4. IF feature j is a harbor or lock, select tmax for each unique date or any consecutive dates, record as departure from feature j, b_ijt | 5. Calculate time elapsed between features for each vessel;For vessel passage through the Soo Locks:
1. Subset A for vessel i.  Let B_i⊆A | 2. Subset B_i in geographic boundaries (46.5<Lat<46.6, -84.4<Lon<-84.3).  Let C_(i,lock)⊆B_i | 3. Select tmin for each unique date or any consecutive dates, record as arrival to Soo Locks | 4. Select tmax for each unique date or any consecutive dates, record as departure to Soo Locks | 5. Calculate time delta between arrival and departure times;The merged dataset is included here along with the raw LPMS data:
Merged_Data_new.csv (n=42,021), 
LPMS obscured.csv (n=55,342).
VesselNames have been obscured in these datasets to protect proprietary information for shipping companies.  
description: Lock Performance Monitoring System (LPMS) were obtained directly from the Army Corps of Engineers (USACE) Soo Locks facility in Sault Ste Marie via Excel file in September 2018.
description: Automatic Identification System (AIS) data were obtained through the MarineCadastre website. https://marinecadastre.gov/ais/
DOI: 10.7302/2k4t-hr82
title: Tommo So-speaking (Dogon, Mali) village photos

description: Images of villages in Mali in which Tommo So (Dogon family) is the primary language. Each file name contains important information about the photos, and are structured thus: LanguageFamily_Language_IdentificationNumber_GeographicCoordinate_Description_Date_InitialsOfThePhotographer
description: Photography
DOI: 10.7302/xay7-8a71
title: Sedimentary response to collisional orogeny recorded in detrital zircon provenance of Greater Caucasus foreland basin sediments: Supplemental data tables

description: The dataset contains U-Pb radiometric ages of zircon grains from sedimentary rocks and modern river sands from the Caucasus region of western Asia.  The data were collected as part of a research project investigating the effects of continental collision in the Caucasus region on regional erosion and sedimentary systems.  The data are presented using the standard quantities reported for zircon U-Pb age analyses at the University of Arizona Laserchron Center.  
description: We report 29 new detrital zircon U-Pb age samples (Table S1) from Cenozoic sandstones and modern river sands comprising 7,094 total ages (Table S2). Mineral separation was conducted at the University of Michigan. Heavy mineral fractions were mounted in epoxy and polished to expose crystal interiors. Mounts were made of entire heavy mineral fractions, rather than hand selected individual zircons, in order to ensure representative random samples of zircons were analyzed. Mount imaging was conducted at the University of Michigan and the University of Arizona Laserchron Center. U-Pb analyses were conducted at the University of Arizona Laserchron Center using a laser ablation system attached to a Thermo Element 2 single collector ICP-MS (Gehrels et al., 2008
description: Pullen et al., 2014). Analyses > 20% discordant are excluded from further interpretation.
Where practical, we analyze at least 300 zircons per sample, which provides more robust characterization of zircon age signatures than analyses with typical (n ~ 100) sample sizes (Pullen et al., 2014).

In order to assess differences in detrital zircon U-Pb age distributions in this study, we use the comparative metric Bayesian Population Correlation values (Tye et al., 2019), which quantifies the correspondence between every possible pair of samples (BPC values shown in Table S3).
DOI: 10.7302/mkx6-p686
title: Data for the STONE curve: A ROC-derived model performance assessment tool

description: Scientists often try to reproduce observations with a model, helping them explain the observations by adjusting known and controllable features within the model. They then use a large variety of metrics for assessing the ability of a model to reproduce the observations. One such metric is called the relative operating characteristic (ROC) curve, a tool that assesses a model’s ability to predict events within the data. The ROC curve is made by sliding the event-definition threshold in the model output, calculating certain metrics and making a graph of the results. Here, a new model assessment tool is introduced, called the sliding threshold of observation for numeric evaluation (STONE) curve. The STONE curve is created by sliding the event definition threshold not only for the model output but also simultaneously for the data values. This is applicable when the model output is trying to reproduce the exact values of a particular data set. While the ROC curve is still a highly valuable tool for optimizing the prediction of known and pre-classified events, it is argued here that the STONE curve is better for assessing model prediction of a continuous-valued data set.
;Data and code were created using IDL, but can also be accessed with the open-source Gnu Data Language (GDL; see https://github.com/gnudatalanguage/gdl)
description: Two space environment prediction models were assessed against relevant observations using both a relative operating characteristic (ROC) curve as well as a sliding threshold of observations for numeric evaluation (STONE) curve. Similarities and differences between the two metrics are discussed in the paper.