CPSC's National Electronic Injury Surveillance System (NEISS) is a national probability sample of hospitals in the U.S. and its territories. Patient information is collected from each NEISS hospital for every emergency visit involving an injury associated with consumer products.

CPSC provides accessibility to recalls via a recall database. The information is publicly available to consumers and businesses as well as software and application developers.

On March 11, 2011, the U.S. Consumer Product Safety Commission launched SaferProducts.gov. This site hosts the agency's new Publicly Available Consumer Product Safety Information Database. On SaferProducts.gov, consumers can submit reports of harm or reports of potential harm. After a short amount of time for review by the agency and named manufacturer, these reports go live on SaferProducts.gov and are searchable by the public. The public also can export search results. The Application Protocol Interface (API), to open the published SaferProducts.gov data to developers and businesses so that the information in SaferProducts.gov can be accessed by an even greater number of consumers online and on mobile devices.

This dataset is a preprocessed version of the CPSC 2018 dataset, which contains 6877 ECG recordings.We preprocessed the dataset by resampling the ECG signals to 250 Hz and equalizing the ECG signal length to 60 seconds, yielding a signal length of T=15,000 data points per recording. For the hyperparameter study, we employed a fixed train-valid-test split with ratio 60-20-20,while for the final evaluations, including the comparison with the state-of-the-art methods and ablation studies, we used a 10-fold cross-validation strategy.The raw CPSC 2018 dataset can be downloaded from the website of the PhysioNet/Computing in Cardiology Challenge 2020 (License: Creative Commons Attribution 4.0 International Public License).

When CPSC is involved in a civil or criminal investigations into violations of the Consumer Products Safety Act the Commission publishes final determinations and those penalties are recorded in the Civil and Criminal Penalties Database. You can search this database for records by civil or criminal penalties as well as by company, product, and fiscal year.

An up-to-date list of entities that have been accredited to assess conformity with product safety rules

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) in collaboration with the United States Consumer Product Safety Commission (CPSC) expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (EDs). This system is called the NEISS-All Injury Program (NEISS-AIP). The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Data on injury-related visits are being obtained from a national sample of U.S. NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States; (2) monitor unintentional and violence-related nonfatal injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data will be released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582). NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards. Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Introduction Abnormality of cardiac conduction system can induce arrhythmia. Abnormal heart rhythm can lead to other cardiac diseases and complications, and can be life-threatening 1. There are various types of arrhythmias and each type is associated with a pattern, and as such, it is possible to be identified. Arrhythmias can be classified into two major categories. The first category consists of arrhythmias formed by a single irregular heartbeat in electrocardiogram (ECG), herein called morphological arrhythmia, while another category consists of arrhythmias formed by a set of irregular heartbeats in ECG, herein called rhythmic arrhythmias 2. Dynamic electrocardiogram (DCG), like ECG Holter, provides an important way to monitor the incidences of arrhythmias in daily life, facilitating the doctors to check a total number and distribution of arrhythmias in a long time and thus to provide the required therapy to prevent further problems. The 3rd China Physiological Signal Challenge 2020 (CPSC 2020) aims to encourage the development of algorithms for searching for premature ventricular contraction (PVC) and supraventricular premature beat (SPB) from 24-hour dynamic single-lead ECG recordings usually with low signal quality and/or abnormal rhythm waveforms. Similar the previous works and efforts of the CPSC 2018 3 and CPSC 2019 4, accurate locating of abnormal heartbeats is another critical issue put forward here for further discussion. ECG signal provides an important role in non-invasively monitoring and clinical diagnosis for cardiovascular disease (CVD). Arrhythmia detection is one of the ultimate goals of routine ECG monitoring, and PVC and SPB are the two most common arrhythmias. Increase in these beats may be a precursor to stroke or sudden cardiac death 5. Although their detection methods have been severely tracked throughout the last several decades, accurate and robust detections are still challenging in noisy or low-signal quality environment, especially for daily monitored ECG waveforms. It is true that many of the developed PVC and SPB detection algorithms can achieve high accuracy (over 96% in sensitivity and positive predictivity) when tested over the standard ECG databases such as the MIT-BIH Arrhythmia Database or AHA Database 6. However, these algorithms may fail when used in the noisy environment. Especially, even the basic QRS detection can be invalid in the low signal quality ECG analysis 7. A recent study confirmed that none of the common QRS detection algorithms can obtain 80% detection accuracy when tested in a dynamic noisy ECG database. In this year’s challenge, we provide a new ECG database containing long-term noisy ECG recordings from clinical arrhythmia patients, to encourage the participants to develop more efficient and robust algorithms for PVC and SPB detection.

Challenge Data Training data consists of 10 single-lead ECG recordings collected from arrhythmia patients, each of the recording last for about 24 hours (shown in Table 1). Table 1 also indicates the patient if he/she is an atrial fibrillation (AF) patient. Test set contains similar ECG recordings, which is unavailable to public and will remain private for the purpose of scoring for the duration of Challenge and for some period afterwards. All data were collected by a unified wearable ECG device with a sampling frequency of 400 Hz, and provided in MATLAB format (each including three *.mat file: one is ECG data and another two are the corresponding PVC and SPB annotation files, respectively).

Detailed information of training data.

Reference 1 S. L. Oh, E. Y. Ng, R. San Tan, and U. R. Acharya, "Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats," Computers in biology and medicine, vol. 102, pp. 278-287, 2018. 2 E. J. D. S. Luz, W. R. Schwartz, G. Cámara-Chávez, and D. Menotti, "ECG-based heartbeat classification for arrhythmia detection: A survey," Computer methods and programs in biomedicine, vol. 127, pp. 144-164, 2016. 3 F. Liu, C. Liu, L. Zhao, X. Zhang, X. Wu, X. Xu, Y. Liu, C. Ma, S. Wei, Z. He, J. Li, and E. Y. K. Ng, "An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection," Journal of Medical Imaging and Health Informatics, vol. 8, pp. 1368-1373, 2018. 4 H. Gao, C. Liu, X. Wang, L. Zhao, Q. Shen, E. Y. K. Ng, and J. Li, "An Open-Access ECG Database for Algorithm Evaluation of QRS Detection and Heart Rate Estimation," Journal of Medical Imaging and Health Informatics, vol. 9, pp. 1853-1858, 2019. 5 J. Oster, J. Behar, O. Sayadi, S. Nemati, A. E. Johnson, and G. D. Clifford, "Semisupervised ECG ventricular beat classification with novelty detection based on switching Kalman filters," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 2125-2134, 2015. 6 A. L. Goldberger, L. A. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. Peng, and H. E. Stanley, "PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals," Circulation, vol. 101, pp. e215-e220, 2000. 7 F. Liu, C. Liu, X. Jiang, Z. Zhang, Y. Zhang, J. Li, and S. Wei, "Performance analysis of ten common QRS detectors on different ECG application cases," Journal of Healthcare Engineering, vol. 2018, pp. 9050812(1)-9050812(8), 2018. 8 ANSI/AAMI EC57, "1998 / (R) 2008-Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms", Arlington, VA, USA, 2008.

The China Physiological Signal Challenge 2018 aims to encourage the development of algorithms to identify the rhythm/morphology abnormalities from 12-lead ECGs. The data used in CPSC 2018 include one normal ECG type and eight abnormal types.

CPSC's epidemiological data include reports of incidents involving death, injury, or potential injury that are associated with consumer products. The online Clearinghouse posts summary information from death certificates (DTHS), medical examiner reports (MECAP reports), reports published on Saferproducts.gov, Newsclips, and other submissions from consumers, healthcare professionals, state, federal, and local agencies (IPII), and public safety entities.

description: For all products regulated by the CPSC, the Commission issues a Letter of Advice (LOA) when there is a violation of a mandatory standard; abstract: For all products regulated by the CPSC, the Commission issues a Letter of Advice (LOA) when there is a violation of a mandatory standard

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Data on injury-related visits are obtained from a national sample of U.S. NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24- hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer- related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States; (2) monitor unintentional and violence-related nonfatal injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. The final edited data will be released annually as public use data files for use by other public health professionals and researchers. These public use data files provide NEISS-AIP data on nonfatal injuries collected from January through December each year. NEISS-AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, sex, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause/mechanism of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding rules and guidelines. NEISS has been managed and operated by the U.S. Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all U.S. residents. These product- related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards. Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1992, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm- related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in- line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50% of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2004. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) in collaboration with the United States Consumer Product Safety Commission (CPSC) expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (EDs). This system is called the NEISS-All Injury Program (NEISS-AIP). The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Data on injury-related visits are being obtained from a national sample of U.S. NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States; (2) monitor unintentional and violence-related nonfatal injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data will be released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582). NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards. Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

In 1992, the National Center for Injury Prevention and Control (NCIPC), a unit of the Centers for Disease Control and Prevention (CDC), established an interagency agreement with the U.S. Consumer Product Safety Commission (CPSC)to begin collecting data on nonfatal firearm-related injuries by using the National Electronic Injury Surveillance System (NEISS), the primary data system of CPSC. This ongoing special study is commonly called the "CDC Firearm Injury Surveillance Study". These data provide the basis for national estimates of nonfatal firearm-related injuries and nonfatal BB/pellet gun-related injuries treated in hospital emergency departments in the United States. Beginning in July 2000, NCIPC, in collaboration with CPSC, expanded NEISS to collect data on all types and causes of injuries treated in a representative sample of hospitals. This system is called the "NEISS All Injury Program (NEISS AIP)". These data provide the basis for national estimates of all types of nonfatal injuries treated in hospital emergency departments in the United States.

Explore the progression of average salaries for graduates in Computer Engineering-Cpsc from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Computer Engineering-Cpsc relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Engineering-Cpsc, providing a clear picture of financial prospects post-graduation.

The Monthly Progress Report (MPR) is provided by recalling firms to report on the progress of the recall. The MPR reports recalled products at the Manufacturer, Distributor, Retailer, and Consumer level on a monthly basis.

Health Canada, Mexico’s Consumer Protection Federal Agency (PROFECO) and the United States Consumer Product Safety Commission (CPSC) continue to value and build on our long-standing cooperative efforts as consumer product safety regulators.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) in collaboration with the United States Consumer Product Safety Commission (CPSC) expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (EDs). This system is called the NEISS-All Injury Program (NEISS-AIP). The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Data on injury-related visits are being obtained from a national sample of U.S. NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States; (2) monitor unintentional and violence-related nonfatal injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data will be released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582). NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards. Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL

This dataset is the result of a joint EPA-CPSC effort to catalogue flame retardant (and more specifically organohalogen flame retardant chemicals). Full details of how the data were collected, curated, and annotated as well as potential uses of this dataset are detailed in the Scientific Data publication: Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory (https://doi.org/10.1038/s41597-022-01351-0). This dataset is associated with the following publication: Bevington, C., A. Williams, C. Guider, N. Baker, B. Meyer, M. Babich, S. Robinson, A. Jones, and K. Phillips. Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory. Scientific Data. Springer Nature, New York, NY, 9: 295, (2022).