cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2583143
title: FluView National, Regional, and State Level Outpatient Illness and Viral Surveillance 2016-2017 (archived by MIDAS-ISG)

description: Description from the FluView Interactive web application (from which these files were downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2583144
title: FluView National, Regional, and State Level Outpatient Illness and Viral Surveillance 2015-2016 (archived by MIDAS-ISG)

description: Description from the FluView Interactive web application (from which these files were downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2583145
title: FluView National, Regional, and State Level Outpatient Illness and Viral Surveillance 2015-2016 (archived by MIDAS-ISG)

description: Description from the FluView Interactive web application (from which these files were downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2583216
title: FluView National, Regional, and State Level Outpatient Illness and Viral Surveillance 2017-2018 (archived by MIDAS-ISG)

description: Description from the FluView Interactive web application (from which these files were downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2583142
title: FluView National, Regional, and State Level Outpatient Illness and Viral Surveillance 2016-2017 (archived by MIDAS-ISG)

description: Description from the FluView Interactive web application (from which these files were downloaded):

Viral Surveillance — Data collection from both the U.S. World Health Organization (WHO) Collaborating Laboratories and National Respiratory and Enteric Virus Surveillance System (NREVSS) laboratories began during the 1997-98 season. The volume of tested specimens has greatly increased during this time due to increased participation and increased testing. During the 1997-98 season 43 state public health laboratories participated in surveillance, and by the 2004-05 season all state public health laboratories were participating in surveillance. The addition of NREVSS data during the 1997-98 season roughly doubled the amount of virologic data reported each week. 

The number of specimens tested and % positive rate vary by region and season based on different testing practices including triaging of specimens by the reporting labs, therefore it is not appropriate to compare the magnitude of positivity rates or the number of positive specimens between regions or seasons. 

The U.S. WHO and NREVSS collaborating laboratories report the total number of respiratory specimens tested and the number positive for influenza types A and B each week to CDC. Most of the U.S. WHO collaborating laboratories also report the influenza A subtype (H1 or H3) of the viruses they have isolated, but the majority of NREVSS laboratories do not report the influenza A subtype. 

For more information on virologic surveillance please visit:http://www.cdc.gov/flu/weekly/overview.htm#Viral

Outpatient Illness Surveillance — Information on patient visits to health care providers for influenza-like illness is collected through the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). This collaborative effort between CDC, state and local health departments, and health care providers started during the 1997-98 influenza season when approximately 250 providers were enrolled. Enrollment in the system has increased over time and there were &gt;3,000 providers enrolled during the 2010-11 season.

The number and percent of patients presenting with ILI each week will vary by region and season due to many factors, including having different provider type mixes (children present with higher rates of ILI than adults, and therefore regions with a higher percentage of pediatric practices will have higher numbers of cases). Therefore it is not appropriate to compare the magnitude of the percent of visits due to ILI between regions and seasons.

Baseline levels are calculated both nationally and for each region. Percentages at or above the baseline level are considered to be elevated.

For more information on ILI surveillance and baselines please visit:http://www.cdc.gov/flu/weekly/overview.htm#Outpatient
DOI: 10.5281/zenodo.2583228
title: Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

description: Quantification results of various tools used in the validation of the alevin tool.
DOI: 10.5281/zenodo.2583229
title: Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

description: Quantification results of various tools used in the validation of the alevin tool.
DOI: 10.5255/ukda-sn-853512
title: Uganda integrated household survey 1992
DOI: 10.5255/ukda-sn-853516
title: Ugandan household survey data 1992-2013
DOI: 10.17632/c7fjbxcgj9.1
title: Endoscopy Artefact Detection (EAD) Dataset

description: We aim to establish a first large and comprehensive dataset for "Endoscopy artefact detection". The provided data is obtained from 6 different data centres that includes John Radcliffe Hospital, Oxford, UK; ICL Cancer Institute, Nancy, France; Ambroise Paré Hospital of Boulogne-Billancourt, Paris, France; Istituto Oncologico Veneto, Padova, Italy; University Hospital Vaudois, Lausanne, Switzerland; Botkin Clinical City Hospital, Moscow. This dataset is unique and represent multi-tissue (gastroscopy, cystoscopy, gastro-oesophageal, colonoscopy), multi-modal (white light, fluorescence, and narrow band imaging), inter patient and multi-population (UK, France, Russia, and Switzerland) endoscopic video frames. Videos were collected from patients on a first-come-first-served basis at Oxford, while randomized sampling was done at French centres and only cancer patients were chosen at the Moscow centre. Videos at these centres were acquired with standard imaging protocols using endoscopes built by different companies like Olympus, Biospec, and Karl Storz. While building our dataset, we have randomly mixed these data with no exclusion criteria. All images has been anonymised carefully and thereby no patient information is expected to be visible in this data. The released data is a part of Endoscopy Artefact Detection (EAD2019) IEEE ISBI'19 challenge. With the Endoscopy Artefact Detection Challenge (EAD2019), we aim to identify hindrances like saturations, motion blur, specular reflections, bubbles, imaging artefacts, contrast and instrument using revolutionary techniques in artificial intelligence. This step is vital in obtaining more sensible temporal information that can motivate and help both endoscopists and image analysts to develop more comprehensive computer-assisted tools. The challenge is sub-divided into three tasks: 1) Multi-class artefact detection: Localization of bounding boxes and class labels for 7 artefact classes for given frames 2) Region segmentation: Precise boundary delineation of detected artefacts 3) Detection generalization: Detection performance independent of specific data type and source Details of this challenge can be found at: https://ead2019.grand-challenge.org Useful tools for this dataset: https://sharibox.github.io/EAD2019/
DOI: 10.17632/gs6r5h34f6.1
title: Supplementary data supporting Aguiniga et al, "Acyloxyacyl hydrolase modulates depressive-like behaviors through aryl hydrocarbon receptor"

description: AOAH-deficient mice exhibit anxious/depressive behaviors and HPA axis dysfunction consistent with Crf dysregulation
DOI: 10.17632/h8jb6nsyt7.1
title: GTAW surface treatment of 7075 aluminum alloy

description: Microscopic examinations were performed by means of an Olympus GX41 light microscope and a JEOL JSM-6610LV scanning microscope. EDS examinations were carried out using an X-ray microanalyzer by Oxford Instruments.
DOI: 10.17632/wrpm4dyc2m.1
title: strawberry experiment data

description: The experiment was conducted in a randomized complete block design, with four replicates. Each experimental unit was composed by eight plants. The 16 treatments tested are listed in table 1. A total of 37 harvests were carried out, twice a week, during the complete maturity stage, segregating commercial from non-commercial fruits. Commercial fruits harvested in each experimental unit were weighed with the aid of a scale. Afterwards, the fruit mass per plant was calculated, dividing total mass of reaped fruits by the number of plants in the experimental units. The values of mean mass of fruits per plant (g plant-1), obtained in each harvest, was continuously accumulated for each experimental units
DOI: 10.17632/djwj4vff8y.1
title: Regulation of UCP1 and Mitochondrial Metabolism in Brown Adipose Tissue by Reversible Succinylation

description: raw western blot films used in the paper
DOI: 10.17632/fnw38rkvvv.1
title: Survival of outplanted juvenile clams 2017

description: This spreadsheet shows numbers of recovered live and dead juvenile Manila clams outplanted at 4 field sites in the inside waters of Washington state over 2 months in the summer of 2017. Each replicate (e.g., A1) initially had 20 ‘large’ and 20 ‘small’ clams; avg size of large clams at the start of the experiment was 6.2 mm length, of small clams was 3.2 mm. Clams of both starting size classes were placed in windowscreen tubes filled with sediments at two elevations on the shore: 'high' at +1m MLLW, 'low' at +0.3m MLLW. Some tubes were 'open' to predators, others had a window-screen 'top' to exclude all predators. Some tubes had a mix of pebble and sand ('pebble'), others had crushed shell added to buffer porewater pH ('shell'). Each treatment combination was repeated 5 times (set A through E) along a 50m horizontal transect, but not all 5 tubes were recovered at all sites and elevations. Survival varied highly among sites and treatments, but not substantially between elevations. Tops tended to greatly increase survival, but not at all sites.
DOI: 10.17632/jf5wtz7yg2.1
title: High Definition Optical Coherence Tomography in Cystinosis

description: Raw data of cross-sectional study of Analyze BCC software generated data of HD-OCT imaging (3 HD-OCT images taken at inner/ventral side of right upper arm) of the skin in cystinosis patients, compared to age- & sex-matched controls.
DOI: 10.17632/n96ywjhkpf.1
title: Juvenile clam growth over 2 months in the field

description: This spreadsheet shows initial and final sizes of juvenile Manila clams outplanted at 4 field sites in the inside waters of Washington state over 2 months in the summer of 2017. Clams of two different starting size classes were placed in windowscreen tubes filled with sediments at two elevations on the shore: 'high' at +1m MLLW, 'low' at +0.3m MLLW. Some tubes were 'open' to predators, others had a window-screen 'top' to exclude all predators. Some tubes had a mix of pebble and sand ('pebble'), others had crushed shell added to buffer porewater pH ('shell'). Each treatment combination was repeated 5 times (set A through E) along a 50m horizontal transect. Data show initial size (clams were dyed pink before outplanting), and final size of all surviving individuals (pink plus new white growth) after 2 months. Growth varied highly among individuals and sites, and less so among treatments and elevations.
DOI: 10.17632/8htp7jn938.1
title: TidalFlat Porewater temperature data, 8 Washington State beaches

description: Tidbit temperature dataloggers were buried in soft-sediment beaches at 8 sites in Washington state and set to log the porewater temperature every hour. Elevation was ca. +1m MLLW, and tidbits were buried ca. 5 cm. The data posted are 'filtered', showing for each site and date the maximum, minimum, average, and range of porewater temperatures per day in degrees C. Blank cells indicate non-functioning Tidbits on those dates.
DOI: 10.17632/dmvg59273n.1
title: Summary of Major Events in the Ghanaian Banking Industry from 1988 to 2016

description: Summary of Major Events in the Ghanaian Banking Industry from 1988 to 2016
DOI: 10.5281/zenodo.2583070
title: Examination of the occurrence of drought phenomenon on the basis of the VHI coefficient from NOAA

description: VHI (Vegetation Health Index) for the period from September 2018 were used for studies related to the occurrence of drought.