ADAM-Data-Repository This repository contains all the data needed to run the case studies for the ADAM manuscript. ## Biogas production The directory "biogas" contains all data for the biogas production case studies (Figs 13 and 14). Specifically, "biogas/biogas_x" contains the data files for the scenario where "x" is the corresponding Renewable Energy Certificates (RECs) value. ## Plastic waste recycling The directory "plastic_waste" contains all data for the plastic waste recycling case studies (Figs 15 and 16). Different scenarios share the same supply, technology site, and technology candidate data, as specified by the "csv" files under "plastic_waste". Each scenario has a different demand data file, which is contained in "plastic_waste/Elec_price" and "plastic_waste/PET_price". ## How to run the case studies In order to run the case studies, one can create a new model in ADAM and upload appropriate CSV file at each step (e.g. upload biogas/biogas_0/supplydata197.csv in step 2 where supply data are specified). This dataset is associated with the following publication: Hu, Y., W. Zhang, P. Tominac, M. Shen, D. Göreke, E. Martín-Hernández, M. Martín, G.J. Ruiz-Mercado, and V.M. Zavala. ADAM: A web platform for graph-based modeling and optimization of supply chains. COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 165: 107911, (2022).

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.

Iowa

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.

The data is sourced from the NIBRS Group A Offense Crimes dataset and covers the period from January 1, 2020, to the end of the most recent complete month. The displayed number represents the total number of arson incidents within the specified timeframe and sector.

Repository for the 3D-ADAM (3D Anomaly Detection in Advanced Manufacturing) Dataset. Submitted to NeurIPS 2025 - Datasets and Benchmarks Track. This project has been supported by the 1851 Royal Commission and HAL Robotics

  license: cc-by-nc-sa-4.0

A pilot outreach project of the National Intstitute of Justice's Arrestee Drug Abuse Monitoring (ADAM) program, the rural Nebraska ADAM program examined the prevalence and type of arrestee drug use in four rural Nebraska counties and compared the results to those found in Omaha, Nebraska, an established ADAM site. The data were collected in Madison (n=78), Dawson (n=50), Hall (n=53), and Scotts Bluff (n=149) counties, and Omaha, Nebraska, (n=202) in October and November of 1998. The catchment area for Omaha was the central city. The ADAM interview provided demographic and descriptive data, including race, age, marital status, source of income, screens of substance abuse and dependency, treatment history, arrest and incarceration experiences, and participation in local drug markets. At the conclusion of the interview, respondents were asked to provide a urine specimen. The current study included a supplemental questionnaire about methamphetamine use. The methamphetamine addendum included variables on why the respondent began and continued the use of methamphetamines, how often and how much methamphetamine was used, if and why the respondent had ever sought and completed treatment, source of the methamphetamine, and if the respondent had ever made or sold methamphetamine.

The Arrestee Drug Abuse Monitoring (ADAM) Program, the successor to the Drug Use Forecasting (DUF) Program (DRUG USE FORECASTING IN 24 CITIES IN THE UNITED STATES, 1987-1997 [ICPSR 9477]), measures levels of and trends in drug use among persons arrested and booked in 35 sites across the United States. The data address the following topics: (1) types of drugs used by arrestees (based on self-reports and urinalysis), (2) self-reported dependency on drugs, (3) self-reported need for alcohol/drug treatment, (4) the relationship between drug use and certain types of offenses, and (5) the relationship between self-reported indicators of drug use and indicators of drug use based on urinalysis. Participation in the project is voluntary, and all information collected from the arrestees is anonymous and confidential. The data include the arrestee's age, race, gender, educational attainment, marital status, and the charge at the time of booking. The modified ADAM/DUF interview instrument (used for part of the 1995 data and all of the 1996, 1997, 1998, and 1999 data) also collected information about the arrestee's use of 15 drugs, including recent and past use (e.g., 3-day and 30-day drug use), age at first use, and whether the arrestee had ever been dependent on drugs. As part of the ADAM program, arrestees were asked to provide a urine specimen, which was screened for the presence of ten drugs, including marijuana, opiates, cocaine, PCP, methadone, benzodiazepines (Valium), methaqualone, propoxyphene (Darvon), barbiturates, and amphetamines (positive test results for amphetamines were confirmed by gas chromatography).

The data is sourced from the NIBRS Group A Offense Crimes dataset and covers the period from January 1, 2020, to the end of the most recent complete month. The displayed number represents the total robberies within the specified timeframe and sector.

Synapse formation and maturation require multiple interactions between presynaptic and postsynaptic neurons. These interactions are mediated by a diverse set of synaptogenic proteins (Kegel et al. 2013, Siddiqui & Craig 2011). Initial synapse formation needs both the binding of secreted proteins to presynaptic and postsynaptic receptors, and the direct binding between presynaptic and postsynaptic transmembrane proteins. One class of molecules that plays an important role in cellular interactions in nervous system development and function is the leucine-rich glioma inactivated (LGI) protein family. These are secreted synaptogenic proteins consisting of an LRR (leucine-rich repeat) domain and a epilepsy-associated or EPTP (epitempin) domain (Gu et al. 2002). Both protein domains are generally involved in protein-protein interactions. Genetic and biochemical evidence suggests that the mechanism of action of LGI proteins involves binding to a subset of cell surface receptors belonging to the ADAM (a disintegrin and metalloproteinase) family, i.e. ADAM11, ADAM22 and ADAM23. These interactions play crucial role in the development and function of the vertebrate nervous system mainly mediating synaptic transmission and myelination (Kegel et al. 2013, Novak 2004, Seals & Courtneidge 2003).

The data is sourced from the NIBRS Group A Offense Crimes dataset and covers the period from January 1, 2020, to the end of the most recent complete month. The displayed number represents the total burglaries/breaking & entering within the specified timeframe and sector.

Adam New Prod

## Overview

Adam New Prod is a dataset for object detection tasks - it contains Tray Unit annotations for 1,079 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset provides information about the number of properties, residents, and average property values for Adam Place cross streets in Massapequa, NY.

Study 5: Starting to think like an expert: an analysis of resident cognitive processes during simulation-based resuscitation examinations. Simulation is commonly used to teach crisis resource management skills and assess them in emergency medicine residents. However, our understanding of the cognitive processes underlying crisis resource management skills is limited because these processes are difficult to assess and describe. The objective of this study is to uncover and characterize the cognitive processes underlying crisis resource management skills and to describe how these processes vary between residents according to performance in a simulation-based examination. Twenty-two of 24 eligible emergency medicine trainees from 1 tertiary academic center completed 1 or 2 resuscitation- based examinations in the simulation laboratory. Resident performance was assessed by a blinded expert using an entrustment- based scoring tool. Participants wore eye-tracking glasses that generated first-person video that was used to augment subsequent interviews led by an emergency medicine faculty member.

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 domain represents the Spacer-1 region from the ADAM-TS and ADAM-TS-like proteins . ADAM-TS (A Disintegrin and Metalloproteinase with Thrombospondin Motifs) is closely related to the ADAM family (A Disintegrin and Metalloproteinase) and is a subfamily of the metalloprotease family, sharing a high degree of sequence similarity and conserved domain organisation among its members [[cite:PUB00017264],[cite:PUB00017277]]. Members of the ADAM-TS family have been implicated in a range of diseases [[cite:PUB00090139],[cite:PUB00098765]]. ADAM-TS-like proteins lack a metalloprotease domain. They resides in the ECM and have regulatory roles . Examples of ADAM-TS-like proteins are papilin and punctin .

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).

Proteolysis of the extracellular matrix plays a critical role in establishing tissue architecture during development and in tissue degradation in diseases such as cancer, arthritis, Alzheimer's disease and a variety of inflammatory conditions []. The proteolytic enzymes responsible for this process are members of diverse protease families, including the secreted zinc metalloproteases (MPs) []. Recently, a new MP family, ADAM-TS (a disintegrin-like and metalloprotease domain with thrombospondin type I modules) has been identified. The family consists of at least 20 members that share a high degree of sequence similarity and conserved domain organisation [,]. The defining domains of the ADAM-TS family are (from N- to C-termini) a pre-pro metalloprotease domain of the reprolysin type, a snake venom disintegrin-like domain, a thrombospondin type-I (TS) module, a cysteine-rich region, and a cysteine-free (spacer) domain []. Domain organisation following the spacer domain C-terminus shows some variability in certain ADAM-TS members, principally in the number of additional TS domains. Members of the ADAM-TS family have been implicated in a range of diseases. ADAM-TS1, for example, is reported to be involved in inflammation and cancer cachexia [], whilst recessively inherited ADAM-TS2 mutations cause Ehlers-Danlos syndrome type VIIC, a disorder characterised clinically by severe skin fragility []. ADAM-TS4 is an aggrecanase involved in arthritic destruction of cartilage []. ADAM-TS8, also termed METH2, was identified by searching expressed sequence tag databases for sequences that contained TS modules []. In vitro studies have shown recombinant ADAM-TS8 to be effective in blocking angiogenesis, and to inhibit endothelial cell growth [].

The data is sourced from the NIBRS Group A Offense Crimes dataset and covers the period from January 1, 2020, to the end of the most recent complete month. The displayed number represents the total aggravated assaults within the specified timeframe and sector.

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.