Each year, Health Center Program grantees and look-alikes report on their performance using the measures defined in the Uniform Data System (UDS). HRSA offers manuals, webinars, trainings online and at various state/regional/national meetings, and other technical assistance resources to assist health centers in collecting and submitting their data Health Center Program grantees are community-based and patient-directed organizations that serve populations with limited access to health care, including low-income populations, the uninsured, those with limited English proficiency, migratory and seasonal agricultural workers and their families, individuals and families experiencing homelessness, and those living in public housing.

Health Center Program look-alikes operate and provide services consistent with Health Center Program requirements but do not receive Health Center Program funding.

NACC’s Uniform Data Set (UDS), collected since 2005, is widely regarded as the gold standard by the field. This longitudinal, multi-domain neurocognitive and phenotypic dataset includes robust, criteria-based diagnoses, providing a valuable foundation for grounding other studies. UDS data collection instruments are trusted benchmarks in Alzheimer’s disease and related dementias (AD/ADRD) clinical phenotypic assessments globally.

We present the X-UDS survey, a set of wide and deep Chandra observations of the Subaru-XMM Deep/UKIDSS Ultra Deep Survey (SXDS/UDS) field. The survey consists of 25 observations that cover a total area of 0.33deg^2^. The observations are combined to provide a nominal depth of ~600ks in the central 100arcmin^2^ region of the field that has been imaged with Hubble/WFC3 by the CANDELS survey and ~200ks in the remainder of the field. In this paper, we outline the survey's scientific goals, describe our observing strategy, and detail our data reduction and point source detection algorithms. Our analysis has resulted in a total of 868 band-merged point sources detected with a false-positive Poisson probability of <1x10^-4^. In addition, we present the results of an X-ray spectral analysis and provide best-fitting neutral hydrogen column densities, N_H_, as well as a sample of 51 Compton-thick active galactic nucleus candidates. Using this sample, we find the intrinsic Compton-thick fraction to be 30%-35% over a wide range in redshift (z=0.1-3), suggesting the obscured fraction does not evolve very strongly with epoch. However, if we assume that the Compton-thick fraction is dependent on luminosity, as is seen for Compton-thin sources, then our results are consistent with a rise in the obscured fraction out to z~3. Finally, an examination of the host morphologies of our Compton-thick candidates shows a high fraction of morphological disturbances, in agreement with our previous results.

The eROSITA X-ray telescope on board the Spectrum-Roentgen-Gamma (SRG) spacecraft observed the field of the UKIDSS Ultra-Deep Survey (UDS) in August-September 2019, during its flight to Sun-Earth L2 point. The resulting eROSITA UDS (or eUDS) survey was thus the first eROSITA X-ray imaging survey, which demonstrated the capability of the telescope to perform uniform observations of large sky areas. With a moderate single-camera exposure of 150ks, eUDS covered ~5deg^2^ with the limiting flux ranging between 410^-15^ and 510^-14^erg/cm^2^/s in the 0.3-2.3keV band. We present a catalogue of 647 sources detected at likelihood >10 (~4sigma) during the eUDS. The catalogue provides information on the source fluxes in the main energy band 0.3-2.3keV and forced photometry in a number of bands between 0.3 and 8keV. Using the deeper 4XMM-DR12 catalogue, we have identified 22 strongly variable objects that have brightened or faded by at least a factor of ten during the eROSITA observations compared to previous observations by XMM-Newton. We also provide a catalogue of 22 sources detected by eROSITA in the hard energy band of 2.3-5keV. Cone search capability for table J/MNRAS/528/1264/tablea1 (eUDS X-ray catalog, converted from eUDS.fits) Cone search capability for table J/MNRAS/528/1264/tablea2 (eUDS forced photometry of 4XMM-DR12 sources, converted from eUDS_4XMM-DR12.fits)

The Utility Distribution System (UDS) market is experiencing robust growth, driven by increasing demand for efficient and reliable utility services across various sectors. While precise market size figures were not provided, a reasonable estimation, considering typical market growth in related infrastructure sectors and the listed companies' presence, would place the 2025 market size at approximately $2.5 billion USD. Assuming a Compound Annual Growth Rate (CAGR) of 6%—a figure reflective of the expansion in energy infrastructure and building automation—the market is projected to reach approximately $3.8 billion by 2033. Key drivers include the growing adoption of smart grid technologies, increasing urbanization leading to heightened energy demands, and a rising focus on energy efficiency and sustainability. Furthermore, stringent environmental regulations and government initiatives promoting renewable energy integration are further bolstering market expansion. The market's growth is not uniform across all segments. While specific segment breakdowns were not provided, it’s reasonable to expect significant growth in segments related to smart grid infrastructure, advanced metering infrastructure (AMI), and distribution automation systems. The competitive landscape is marked by the presence of both established players like CaptiveAire, Accurex, and Greenheck, and smaller niche companies, indicating both established market strength and potential for disruption from innovative entrants. Potential restraints include high upfront investment costs associated with UDS upgrades and implementation, potential supply chain disruptions, and the need for skilled labor to manage and maintain sophisticated systems. However, the long-term benefits of improved energy efficiency and grid reliability are expected to outweigh these challenges, ensuring sustained market growth over the forecast period. This report provides a detailed analysis of the Utility Distribution System (UDS) market, encompassing market size, segmentation, key players, growth drivers, challenges, and future trends. The global UDS market is estimated at $2.5 billion in 2023, projected to reach $3.8 billion by 2028, exhibiting a robust Compound Annual Growth Rate (CAGR).

The sample SAS and Stata code provided here is intended for use with certain datasets in the National Neighborhood Data Archive (NaNDA). NaNDA (https://www.openicpsr.org/openicpsr/nanda) contains some datasets that measure neighborhood context at the ZIP Code Tabulation Area (ZCTA) level. They are intended for use with survey or other individual-level data containing ZIP codes. Because ZIP codes do not exactly match ZIP code tabulation areas, a crosswalk is required to use ZIP-code-level geocoded datasets with ZCTA-level datasets from NaNDA. A ZIP-code-to-ZCTA crosswalk was previously available on the UDS Mapper website, which is no longer active. An archived copy of the ZIP-code-to-ZCTA crosswalk file has been included here. Sample SAS and Stata code are provided for merging the UDS mapper crosswalk with NaNDA datasets.

No description is available. Visit https://dataone.org/datasets/330397a3413c8434e2c1c5163ce8605c for complete metadata about this dataset.

The Oregon Alzheimer Disease Center is the core program of the Layton Aging & Alzheimer's Disease Center (LAADC), supported by the National Institute on Aging (NIA, NIH). We promote interactive, multidisciplinary research among the scientific community. Our primary emphasis is on studies of preclinical dementia, as well as early dementia. Well-characterized patients, clinical, MRI and genetic data, as well as biological specimens are made available to investigators and research groups worldwide.

Detailed information about the Organisation UDS-10-Z.

Ultrasonic Depth Sensor to measure snow depth

The global Utility Distribution System (UDS) market is experiencing robust growth, driven by increasing demand for efficient and reliable energy distribution across residential, commercial, and industrial sectors. While precise market size figures for 2025 were not provided, considering typical growth trajectories in related infrastructure markets and the strong CAGR (let's assume a CAGR of 7% for illustrative purposes), a reasonable estimate for the 2025 market size could be $15 billion USD. This signifies a considerable market opportunity for manufacturers and investors. The market's expansion is fueled by several factors: the ongoing urbanization and industrialization in developing economies, increasing adoption of smart grids and renewable energy sources that necessitate advanced UDS infrastructure, and stringent government regulations promoting energy efficiency and grid modernization. Growth is further propelled by technological advancements in sensor technology, data analytics, and automation enhancing grid monitoring, management, and operational efficiency. Key market segments include wall-mounted, island, and other UDS types, each catering to specific applications across residential, commercial, and industrial sectors. Leading players like CaptiveAire, Accurex, and others are actively shaping the market through innovation and strategic expansions. However, challenges such as high initial investment costs, complex regulatory landscapes, and potential cybersecurity threats are factors that could potentially restrain market growth. Looking ahead to 2033, maintaining the assumed 7% CAGR would project a substantial increase in market value. Technological innovations, particularly in areas like AI-powered predictive maintenance and distributed energy resources integration, will play crucial roles in market expansion. Furthermore, government initiatives supporting grid modernization and renewable energy integration are expected to provide significant tailwinds. Competitive pressures will likely intensify, necessitating continuous innovation and strategic partnerships within the industry. Regional variations in growth will depend on factors such as economic development, infrastructure spending, and regulatory environments. North America and Europe are expected to maintain a significant market share, while Asia-Pacific is poised for rapid growth due to infrastructure investments and increasing energy demands.

While galaxy clusters are dominated by quiescent galaxies in the local Universe, they show a wide range in quiescent galaxy fraction (QF) at higher redshifts. Here we present the discovery of two galaxy clusters at z~0.95 with contrasting QFs despite having similar masses (log(M_200_/M_{sun})~14) and spectra and redshifts of 29 galaxies in these clusters and 76 galaxies in the surrounding area. The clusters are found in the Ultra Deep Survey field and confirmed through multiobject spectroscopic observation using the Inamori Magellan Areal Camera and Spectrograph on the Magellan telescope. The two clusters exhibit QFs of 0.094-0.032_^+0.11^ and 0.38_-0.11_^+0.14^, respectively. Analysis of large-scale structures (LSSs) surrounding these clusters finds that properties of these clusters are consistent with the anticorrelation trend between the QF and the extent of surrounding LSS, found in Lee+ 2019, J/MNRAS/490/135, which can be interpreted as a result of the replenishment of young, star-forming galaxies keeping the QF low when galaxy clusters are accompanied by rich surrounding environments. Cone search capability for table J/ApJS/272/47/galaxies (Spectroscopic redshift information from Magellan/IMACS observation (Table 1) and correction factors calculated in the i'-band for each galaxy (Table 2))

This is a parallel and comparable corpus of speeches held in the European Parliament; the corpus follows the European Parliament Interpreting Corpora tradition of the EPIC and EPICG corpora. It contains original speeches from 2008 to 2013 by English, German, and Spanish native speakers and their interpretation (English to and from German; Spanish to English). All transcripts in the corpus are based on videos of the European Parliament Proceedings published by the European Parliament. Annotation includes typical characteristics of spoken language such as false starts, hesitations and truncated words. To obtain better results for source-target alignment as well as sentence parsing the transcripts were segmented using a main clause approach: compound sentences were segmented separately. For the second version of the corpus, the transcripts were processed clause by clause with the spaCy NLP tools; the data is encoded in CoNLL-U and provides universal PoS tags, fine-grained language-specific PoS tags as well as Universal Dependency syntactic relations. All data was enriched with relevant metadata such as source language, name of original speaker, speech timing, mode of delivery and delivery rate.

The corpus is available for download from CLARIN-D (Saarland University B-centre).

For the past year, the Urban Design Studio has been mapping the activity of people in Founder’s Square. The mapping project follows the model established in the San Francisco Plazas Public Life Study, which tracks basic demographics, location, posture, activities, and presence of vehicles. The results up until June 14th, 2023 were compiled and made into a dashboard, but activity mapping is ongoing and the dashboard will be updated periodically.Generally, a person only “counted” for the mapping if they stayed in the park for at least five minutes. Their locations were put together as a heat map to show what parts of the square were most commonly used, and for visual clarity. Other important features such as benches and trees were also mapped as they are where people tend to congregate.

Opioid use pattern for an example participant; “…” represents a series of UDS results negative for opioids.

No description is available. Visit https://dataone.org/datasets/32f6bf532aa79d4964fb71883c0f941c for complete metadata about this dataset.

We present the results and the source catalog of the NuSTAR survey in the UKIDSS Ultra Deep Survey (UDS) field, bridging the gap in depth and area between NuSTAR's ECDFS and COSMOS surveys. The survey covers a ~0.6deg^2^ area of the field for a total observing time of ~1.75Ms, to a half-area depth of ~155ks corrected for vignetting at 3-24keV, and reaching sensitivity limits at half-area in the full (3-24keV), soft (3-8keV), and hard (8-24keV) bands of 2.2x10^-14^erg/cm^2^/s, 1.0x10^-14^erg/cm^2^/s, and 2.7x10^-14^erg/cm^2^/s, respectively. A total of 67 sources are detected in at least one of the three bands, 56 of which have a robust optical redshift with a median of ~1.1. Through a broadband (0.5-24keV) spectral analysis of the whole sample combined with the NuSTAR hardness ratios, we compute the observed Compton-thick (CT; N_H_>10^24^cm^-2^) fraction. Taking into account the uncertainties on each NH measurement, the final number of CT sources is 6.8+/-1.2. This corresponds to an observed CT fraction of 11.5%+/-2.0%, providing a robust lower limit to the intrinsic fraction of CT active galactic nuclei and placing constraints on cosmic X-ray background synthesis models. Cone search capability for table J/ApJS/235/17/table7 (NuSTAR UKIDSS Ultra Deep Survey (UDS) catalog)

We present the results of a new, ultra-deep, near-infrared imaging survey executed with the Hawk-I imager at the ESO VLT, of which we make all the data (images and catalog) public. This survey, named HUGS (Hawk-I UDS and GOODS Survey), provides deep, high-quality imaging in the K and Y bands over the portions of the UKIDSS UDS and GOODS-South fields covered by the CANDELS HST WFC3/IR survey. In this paper we describe the survey strategy, the observational campaign, the data reduction process, and the data quality. We show that, thanks to exquisite image quality and extremely long exposure times, HUGS delivers the deepest K-band images ever collected over areas of cosmological interest, and in general ideally complements the CANDELS data set in terms of image quality and depth. In the GOODS-S field, the K-band observations cover the whole CANDELS area with a complex geometry made of 6 different, partly overlapping pointings, in order to best match the deep and wide areas of CANDELS imaging. In the deepest region (which includes most of the Hubble Ultra Deep Field) exposure times exceed 80 hours of integration, yielding a 1-{sigma} magnitude limit per square arcsec of ~=28.0ABmag. The seeing is exceptional and homogeneous across the various pointings, confined to the range 0.38-0.43arcsec. In the UDS field the survey is about one magnitude shallower (to match the correspondingly shallower depth of the CANDELS images) but includes also Y-band band imaging (which, in the UDS, was not provided by the CANDELS WFC3/IR imaging). In the K-band, with an average exposure time of 13 hours, and seeing in the range 0.37-0.43arcsec, the 1-{sigma} limit per square arcsec in the UDS imaging is ~=27.3ABmag. In the Y-band, with an average exposure time ~=8h, and seeing in the range 0.45-0.5arcsec, the imaging yields a 1-{sigma} limit per square arcsec of ~=28.3ABmag. We show that the HUGS observations are well matched to the depth of the CANDELS WFC3/IR data, since the majority of even the faintest galaxies detected in the CANDELS H-band images are also detected in HUGS. Finally we present the K-band galaxy number counts produced by combining the HUGS data from the two fields. We show that the slope of the number counts depends sensitively on the assumed distribution of galaxy sizes, with potential impact on the estimated extra-galactic background light.

No description is available. Visit https://dataone.org/datasets/05e0368c35c8f1e657edfe73b7ed41a3 for complete metadata about this dataset.