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TwitterOregon's Agency Data Coordinator's Handbook. This handbook provides instructions to help agency appointed data coordinators in completing the deliverables of the Open Data Program. These include: completion of an agency data inventory, open data inventory plan and publication status, and a process for publishing agency inventory assets, available for open data publication.
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Data Coordinator Step-by-Step Guide includes:Step 1. Data spreadsheet Step 2. Complete a Dataset Inventory for each new dataset Step 3. Evaluate and Prioritize data for publication Step 4. Review security and privacy criteria Step 5. Prepare Metadata Step 6. Prepare Data Dictionary Step 7. Data Upload Step 8. Service Ticket update
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This contains the data and code to produce the results in “Coordination with Differential Time Preferences: Experimental Evidence”, which has been deposited in AEA Data and Code Repository as opeicpsr-199781. The data were collected by the authors.
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TwitterThis dataset contains the name and affiliation of NYC Open Data Coordinators (ODC). An organization’s Open Data Coordinator serves as the point person for all data sets published by the organization, and is responsible for ensuring that the corresponding data dictionaries and user guides are kept up to date.
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TwitterALW program eligibility for Medi-Cal members interested in enrolling in the ALW program is assessed by Care Coordination Agencies, which are providers within the ALW program. Care Coordination Agencies (CCA) are responsible for evaluating referrals to the ALW, performing assessments, and submitting enrollment packages for the ALW to DHCS. Contact information for CCAs is available at the following link: https://www.dhcs.ca.gov/services/ltc/Pages/AssistedLivingWaiver.aspx. This dataset contains the , provider physical location, provider phone number, provider fax number, provider contact name, provider contact email address and provider website .
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DIF records
Directory Interchange Format (DIF) Metadata has been submitted to the Global Change Master Directory as part of the grantee obligation.
In general, any metadata record can be accessed directly through the URL:
http://gcmd.nasa.gov/getdif.htm?[entry_id]
where [entry_id] = the Entry_ID of the metadata record, e.g. wind_stress_GB
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Abstract The aim of this study was to explore the experiences of primary care doctors regarding the use of knowledge and reflection to improve care coordination. We conducted a cross-sectional study with primary care doctors in Niterói, Rio de Janeiro using the COORDENA-BR questionnaire. The doctors recognized the importance of coordination, although it did not occur, and trusted the clinical skills of specialty doctors. There was no indication that their peers in specialty care recognized and promoted the centrality of primary care. Referrals, receipt of hospital discharge summaries and use of protocols were common; counter-referrals to primary services was not common. Clinical sharing sessions were not held and primary care doctors did not consult specialists to clear up doubts. The findings reveal that the coordination of care under Brazil’s public health system by primary care services is hampered by lack of technological resources, organization, and values.
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TwitterPrevious experiments using the minimum-effort coordination game reveal a striking regularity—large groups never coordinate efficiently. Given the frequency with which large real-world groups, such as firms, face similarly difficult coordination problems, this poses an important question: Why do we observe large, successfully coordinated groups in the real world when they are so difficult to create in the laboratory? This paper presents one reason. The experiments show that, even though efficient coordination does not occur in groups that start off large, efficiently coordinated large groups can be "grown." By starting with small groups that find it easier to coordinate, we can add entrants—who are aware of the group's history—to create efficiently coordinated large groups. This represents the first experimental demonstration of large groups tacitly coordinated at high levels of efficiency.
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TwitterAssists scientists in finding Antarctic scientific data of interest and submitting data for long-term preservation in accordance with their obligations under the National Science Foundation (NSF) Office of Polar Programs (OPP) Data Policy.
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TwitterAbstract This paper presents an empirical relationship among exploration, exploitation, and organizational coordination mechanisms, classified as the centralization of decision-making, formalization, and connectedness. In order to analyze the findings of this survey, we used two techniques: Principal Component Analysis (PCA) and Partial Least Squares Path Modeling (PLS-PM). Our analysis was supported by 249 answers from managers of companies located in Brazil (convenience sampling). Contrary to expectations, centralization and exploitation were negatively associated. Our data supports the research hypothesis that formalization is positively associated with exploitation. Although the relationship between formalization and exploration were significant, the result is contrary to the research hypothesis that we made. The relationships among connectedness and exploitation, and connectedness and exploration were both positive and significant. This relationship means that the more connectedness increases, the higher the likelihood of exploitation and exploration.
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TwitterThe brain must continuously coordinate skeletomuscular movements with internal physiological states like arousal, but how is this coordination achieved? One possibility is that brain simply reacts to changes in external and/or internal signals. Another possibility is that it is actively coordinating both external and internal activities. We used functional ultrasound imaging to capture a large medial section of the brain, including multiple cortical and subcortical areas, in marmoset monkeys while monitoring their spontaneous movements and cardiac activity. By analyzing the causal ordering of these different time-series, we found that information flowing from the brain to movements and heart rate fluctuations were significantly greater than in the opposite direction. The brain areas involved in this external versus internal coordination were spatially distinct but also extensively interconnected. Temporally, the brain alternated between network states for this regulation. These findings...
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TwitterA RESTful web service for querying data and metadata components from data sets, including instruments, observatories, and inventory. This interface calls the services of the SPDF CDAWeb data browsing system. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.
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This dataset is associated with the paper “Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter” and includes recordings of improvisations by jazz duos over a network. The related paper is published in Music Perception and is accessible at doi:10.1525/mp.2024.42.1.48
Introduction:
This dataset includes data from approximately four hours of live, improvised musical duo performances over a simulated network environment collected in Cambridge, United Kingdom between April-July 2022 as part of a doctoral research project. Data includes audio and video recordings of 130 individual performances, biometric data, and subjective evaluations and comments from the musicians. The primary aim of the project was to collect data via a novel performance capture and manipulation system for use in the empirical modelling of ensemble coordination strategies during networked music-making. This analysis is reported in Cheston, Cross, and Harrison (2023), "Trade-offs in Coordination Strategies for Networked Jazz Performances". Please refer to this publication for full details on the data collection procedure. Our codebook is hosted on GitHub and, in conjunction with this dataset, can be used to reproduce the analysis contained in the article.
The ten musicians shown in these recordings were recruited for their expertise in jazz improvisation. They were grouped into five duos consisting each of one pianist and drummer, with no musician performing in more than one duo. Participants were instructed to improvise together over a standard twelve-bar blues musical structure, but following a formula which required them to provide a clear and unambiguous pulse of continuous quarter notes. Varying amounts of network latency and jitter were simulated for each performance, consisting respectively of the minimum amount of delay applied to the live feedback a musician heard from their partner and the degree that this delay varied. The amount of latency and jitter applied to the performance is summarised in the file or directory name for each performance and is described in detail in the above publication. Note that latency and jitter conditions were presented in a random order for each duo.
Data collected includes:
audio recordings for each performance, with and without delay, collected via direct line-in (MIDI, WAV).
video recordings, collected via high-quality webcams (MKV, AVI).
streams of the quarter note pulse provided by each musician in a performance (MIDI).
muxed audio-visual recordings of both participants in each performance (MP4)
accelerometer and photoplethysmography streams, collected from arm-worn devices (TXT, duos 3-5 only)
questionnaire responses from performers, evaluating each condition (XLSX)
ratings of performance quality from an unbiased sample of listeners, collected during an online perceptual study (CSV)
Repository structure:
NB: please see this section of the code documentation website for a full description of how to recreate the analyses and models created in the paper.
The files data.zip and data.z0* contain all data collected from the study, APART from the perceptual study stimuli & results. To open these files, download the data.zip file and all the corresponding volumes ending in .z0 and open the data.zip file using a tool for opening multi-part zip files, such as WinRAR. Do not try to open the files ending in .z0, otherwise you may get a message about the data being corrupted. Inside data.zip, you'll see the following folders and files:
avmanip_output: the raw MIDI, audio, and video output from each performance
the subfolders are organised with a single folder per participant duo, experimental block, and condition.
avmanip_output\trial_1\Block 1\Condition 1 - 23 05 relates to the performance of the first duo of participants in the first session of the experiment, in the first condition they encountered, with 23ms of latency and 0.5x jitter.
midi_bpm_cleaning: the cleaned MIDI files (quarter note onset positions)
the subfolders are organised similarly to the avmanip_output folder, using the same conventions.
muxed_performances: the combined audio-video .mp4 files from each performance
these files are labelled in the format: duo_session_latency_jitter_keysfmt_drumsfmt.
muxed_performances\kdelay_ddelay\d1_s1_l23_j00_kdelay_ddelay.mp4 relates to the performance of the first duo of participants in the first session of the experiment, in the first condition they encountered, with 23ms of latency and 0.5x jitter, and with latency and jitter applied to both keys and drummer.
for more information on recreating these videos, see the linked section of the code documentation website.
questionnaire_anonymized: the anonymized questionnaire responses given by participants, also contained in the supplementary material of the associated paper (see preprint).
Alongside data.zip and the data.z0* archives, there are two further loose files, Database View Participant - Dashboard.csv, Database View SuccessTrial - Dashboard.csv, which are the anonymized demographic and response data from the perceptual experiment, and one loose archive folder perceptual_study_videos.rar, which contains the stimuli used in the perceptual experiment.
To reproduce the analysis from the paper, all files should be unzipped into the \data\raw directory of the code repository created after cloning this from GitHub. For more detail and instructions on installation, see the section of the code documentation website linked here.
Usage:
These recordings of live, improvised duo performances are unattributed and anonymised as agreed with participants at the point of data collection. The musicians involved received a one-off, fixed payment for their time and had their travel expenses reimbursed, with funding provided by Cambridge Digital Humanities (project page). All participants consented to the use of their recordings for projects by the current authors and for these recordings to be shared with interested members of the music psychology community, with the intention of furthering academic research. The musicians did not intend that the recordings be used for commercial, artistic, or entertainment purposes, and such use is not permitted.
Citation:
If you use this dataset in your research, please cite the paper it relates to:
@article{10.1525/mp.2024.42.1.48, author = {Cheston, Huw and Cross, Ian and Harrison, Peter M. C.}, title = "{Trade-offs in Coordination Strategies for Duet Jazz Performances Subject to Network Delay and Jitter}", journal = {Music Perception}, volume = {42}, number = {1}, pages = {48-72}, year = {2024}, month = {09}, issn = {0730-7829}, doi = {10.1525/mp.2024.42.1.48}, url = {https://doi.org/10.1525/mp.2024.42.1.48}, eprint = {https://online.ucpress.edu/mp/article-pdf/42/1/48/833292/mp.2024.42.1.48.pdf}, }
Contact:
Huw Cheston - @huwcheston - hwc31@cam.ac.uk
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Twitterduet codes juveniles vs adultsDuet code adherence of juveniles vs adultsduet codes juvs vs adults 2017.csvData file juvenile duet codesDuet code adherence of juveniles over timeduet codes juvs only 2017.csvDuet coordination adults vs. juvenilesData file of duet coordination adults vs. juvenilesDuet coordination adult vs juvs 2017.xlsxjuvenile script 2017R script with all analyses performedDuet coordination only juvsData file of duet coordination in juveniles by date
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Entangled Two-Dimensional Coordination Networks: A General Survey
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This data set provides the processed data underlying the quasi-experiments that I conducted during my PhD research. Chapter 7 of my dissertation describes in detail how this data has been collected and how I interpreted it.
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TwitterMetadata for the OpenFEMA API data set fields. It contains descriptions, data types, and other attributes for each field.rnrnIf you have media inquiries about this dataset please email the FEMA News Desk FEMA-News-Desk@dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open government program please contact the OpenFEMA team via email OpenFEMA@fema.dhs.gov.
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The data set includes the raw data, processed data, and stata do.files from the experiments reported in the publication
Johnsen, L.C., Voigt, G. and Weimann, J. (2020), The Effect of Communication Media on Information Sharing in Supply Chains. Prod Oper Manag, 29: 705-724. https://doi.org/10.1111/poms.13134
with the exceptions of audio files and video files to secure anonymity. Descriptions and variables are partly denoted in german (due to the german subject pool).
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TwitterOpen Data Handbook for Tempe Open Data includes:IntroRoles and ResponsibilitiesData Management ProcessReferences