ADAM is organized as a half day Challenge, a Satellite Event of the ISBI 2020 conference in Iowa City, Iowa, USA.

The ADAM challenge focuses on the investigation and development of algorithms associated with the diagnosis of Age-related Macular degeneration (AMD) and segmentation of lesions in fundus photos from AMD patients. The goal of the challenge is to evaluate and compare automated algorithms for the detection of AMD on a common dataset of retinal fundus images. We invite the medical image analysis community to participate by developing and testing existing and novel automated fundus classification and segmentation methods.

Instructions: ADAM: Automatic Detection challenge on Age-related Macular degeneration

Link: https://amd.grand-challenge.org

Age-related macular degeneration, abbreviated as AMD, is a degenerative disorder in the macular region. It mainly occurs in people older than 45 years old and its incidence rate is even higher than diabetic retinopathy in the elderly.

The etiology of AMD is not fully understood, which could be related to multiple factors, including genetics, chronic photodestruction effect, and nutritional disorder. AMD is classified into Dry AMD and Wet AMD. Dry AMD (also called nonexudative AMD) is not neovascular. It is characterized by progressive atrophy of retinal pigment epithelium (RPE). In the late stage, drusen and the large area of atrophy could be observed under ophthalmoscopy. Wet AMD (also called neovascular or exudative AMD), is characterized by active neovascularization under RPE, subsequently causing exudation, hemorrhage, and scarring, and will eventually cause irreversible damage to the photoreceptors and rapid vision loss if left untreated.

An early diagnosis of AMD is crucial to treatment and prognosis. Fundus photo is one of the basic examinations. The current dataset is composed of AMD and non-AMD (myopia, normal control, etc.) photos. Typical signs of AMD that can be found in these photos include drusen, exudation, hemorrhage, etc.

The ADAM challenge has 4 tasks:

Task 1: Classification of AMD and non-AMD fundus images.

Task 2: Detection and segmentation of optic disc.

Task 3: Localization of fovea.

Task 4: Detection and Segmentation of lesions from fundus images.

ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.

The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2001 at four separate times (quarterly) during the year in 33 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. Data from arrestees in juvenile detention facilities (Part 3) continued to use the juvenile instrument from previous years, extending back through the DRUG USE FORECASTING series (ICPSR 9477). The ADAM program in 2001 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) weights. The juvenile file contains demographic variables and arrestee's self-reported past and continued use of 15 drugs, as well as other drug-related behaviors.

This dataset provides information about the number of properties, residents, and average property values for Adam Drive cross streets in Marrero, LA.

The Arrestee Drug Abuse Monitoring (ADAM) Program/Drug Use Forecasting (DUF) Series is an expanded and redesigned version of the Drug Use Forecasting (DUF) program, which was upgraded methodologically and expanded to 35 cities in 1998. The redesign was fully implemented beginning in the first quarter of 2000 using new sampling procedures that improved the quality and generalizability of the data. The DUF program began in 1987 and was designed to estimate the prevalence of drug use among persons in the United States who are arrested and booked, and to detect changes in trends in drug use among this population. The DUF program was a nonexperimental survey of drug use among adult male and female arrestees. In addition to supplying information on self-reported drug use, arrestees also provide a urine specimen, which is screened for the presence of ten illicit drugs. Between 1987 and 1997 the DUF program collected information in 24 sites across the United States, although the number of data collection sites varied slightly from year to year. Data collection took place four times a year (once each calendar quarter) in each site and selection criteria and catchment areas (central city or county) varied from site to site. The original DUF interview instrument (used for the 1987-1994 data and part of the 1995 data) elicited information about the use of 22 drugs. A modified DUF interview instrument (used for part of the 1995 data and all of the 1996-1999 data) included detailed questions about each arrestee's use of 15 drugs. Juvenile data were added in 1991. The ADAM program, redesigned from the DUF program, moved to a probability-based sampling for the adult male population during 2000. The shift to sampling of the adult male population in 2000 required that all 35 sites move to a common catchment area, the county. The ADAM program also implemented a new and expanded adult instrument in the first quarter of 2000, which was used for both the male and female data. The term "arrestee" is used in the documentation, but because no identifying data are collected in the interview setting, the data represent numbers of arrests rather than an unduplicated count of persons arrested. Funding The National Institute of Justice (NIJ) initiated ADAM in 1998 to replace DUF. In 2007, the Office of National Drug Control Policy (ONDCP) initiated ADAM II.

An Open Context "persons" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Person" record is part of the "Petra Great Temple Excavations" data publication.

The experiment investigated the aggregation of dust accelerated by magnetic forces.. Dataset provided by the ESDC. Please refer to the datasets landing page at http://esdcdoi.esac.esa.int/doi/html/data/hre/hreda/b85fc0c92b4a4181a033de25c1c127fa.html

In April 2024, U.S.-based sex toys retailer Adam & Eve had an estimated 6.2 million visits to its website, with an average visit duration of nearly four minutes. Adam & Eve ranked second among the leading online sex stores globally in 2022, garnering e-commerce net sales of 303 million U.S. dollars.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The U.S. based adult toys retailer Adam & Eve generated more than 314 million U.S. dollars in estimated e-commerce net sales in 2023. This constitutes a slight increase from the previous year's online revenue estimate of approximately 303 million dollars. Globally, nearly a third of consumers shopped for sex toys via online channels in 2023.

During the season 2015/16, Adam Johnson made five assists. His best assisting season was 2012/13, where he reached a total of six scorer points. Find further Premier League statistics regarding the number of assists for players like Sadio Mané, Mesut Özil, and Adam Lallana.

This dataset is about books and is filtered where the author includes Adam Bagdasarian, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Find out import shipments and details about Adam Helgren Import Data report along with address, suppliers, products and import shipments.

Replication files for "Fine for Adam & Eve but not Adam & Steve? Homonegativity bias, parasocial contact, and public support for surrogacy" accepted for publication in the Journal of European Public Policy

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The ADAM spoken corpus is a collection of 450 spoken dialogues: they are both human-human (200 dialogues) and human-machine (250 dialogues). All the dialogues are recordings and transcriptions of telephone conversations in the semantic domain of tourism and railway transportation. The format of the audio files is the standard format for telephone signal data recommended by the SPEECHDAT3 project directions. Each dialogue is annotated at five levels of linguistic information: prosody, morphosyntax, syntax, semantics and pragmatics. For each level a corresponding annotation scheme has been defined that provides annotation instructions, examples and criteria. The result of each annotation is an XML file that encodes the content of a dialogue with respect to a particular level according to the annotation scheme of that level. The human-human dialogues are simulated telephone conversations between two experimental subjects, playing the roles of a travel agent and of a caller, respectively. The human-machine dialogues were collected on the field: they are interactions between callers and the automatic telephone information service of the Italian railway company, recorded during an experimental phase of that service. Each dialogue in the ADAM corpus is represented by an orthographic transcription (physically an XML file), which in turn is linked to an audio file containing the corresponding recording. In addition, the transcription of each dialogue is associated to five XML annotation files, according to five different levels or layers of linguistic information, namely prosody, morphosyntax, syntax, semantics and pragmatics.

This dataset is about books and is filtered where the author includes Adam Harper, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

This dataset is about books and is filtered where the author is Adam N. S. G. Baldwin, featuring 2 columns: book, and publication date. The preview is ordered by publication date (descending).