cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34681/zvq8-ne14
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File 2010

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS rule, states are required to collect data on all adopted children who are placed by the state's child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision. AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (http://www.acf.hhs.gov/programs/cb). AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child's gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.
DOI: 10.25921/acwt-ty88
title: EK80 Water Column Sonar Data Collected During FK190106-20190120-034659
DOI: 10.24431/rw1k6cj
title: Pacific Sleeper shark movement behavior, health, and bioenergetic data collected in Gulf of Alaska, 2018-2019

description: Data in this collection include Pacific sleeper shark (Somniosus pacifcus) behavior, health, and bioenergetics data collected from sharks in Resurrection Bay, and sharks temporarily brought to the Alaska SeaLife Center (ASLC) during summers 2018 & 2019. Bioenergetics data were generated from respirometry trials conducted at the ASLC, and behavioral data were generated from telemetry tagging of sharks (free-ranging as well as temporarily captive individuals). Data are presented as thirteen CSV files: PSS_Catch_effort_log_daysoaks_Mar2020.csv and PSS_Catch_effort_log_overnight_Mar2020.csv contain records of date, location, bait, soak time, and catch for daytime (&lt;12hr) fishing efforts in summer 2018-2019 in Resurrection Bay. PSS-animal-overview-log_Mar2020.csv contains the capture date, handling, sex, morphometrics, sampling and tagging efforts for each of the sharks in our study. PSS_Blood_Data_log_Mar2020.csv contains the results of blood panels (i-STAT, chemistry, hematology) for 11 immature Pacific sleeper sharks caught in Resurrection Bay, AK. Samples from two individuals include blood taken in the field and while in temporary captivity. PSS_respo_data_summary_Mar2020.csv summarizes the respirometry trials conducted in 2019 at the Alaska SeaLife Center. The raw data generated from these trials, consisting of temperature and dissolved oxygen levels, are in files “SP1904.T1.csv, SP1904.T2.csv, SP1904.T2.csv, SP1908.T1.csv, SP1908.T2.csv. One shark had a tri-axial accelerometer attached during respirometry trials to identify periods of activity and rest. Data generated from that accelerometer is contained in files Axy01-SP1908-T1.csv and Axy01-SP1908-T2.csv. Original raw data from telemetry tag sensors (miniPAT, e.g. temperature, depth, light levels) and location data is housed on the Wildlife Computers Portal. Data can be processed through the DAP processor and downloaded in .csv file format from the portal. Access to files on the portal will be provided upon request.
DOI: 10.24431/rw1k6ck
title: Progesterone concentrations and dietary stable isotope signatures in whiskers from female northern fur seals and Steller sea lions, 2007 to 2019

description: Keratinized tissues, including whiskers, are ideal for acquiring a record of physiological parameters. Unlike other tissues that provide a snapshot of physiological status, whiskers support longitudinal sampling for reproductive hormones and dietary stable isotopes. The objective of this project was to determine the reproductive and dietary history of two North Pacific otariids, Steller sea lions (Eumetopias jubatus) and northern fur seals (Callorhinus ursinus). Progesterone concentrations in whiskers were lower in Steller sea lions (35.4 ± 13.4 pg/mg) compared to northern fur seals (157.4 ± 115.8 pg/mg. Further, the progesterone concentrations in whiskers were greater and the peaks more distinct in northern fur seals compared to Steller sea lions. These findings made visually defining progesterone cycles challenging in Steller sea lions; however, the variation in stable isotope signatures were more distinct and easier to identify the peaks and troughs in Steller sea lions compared to northern fur seals. Cyclical patterns of δ15N were useful for identify periods of yearly growth within whiskers and measuring both stable isotopes and progesterone hormones allows for comparisons between progesterone concentrations between years within a whisker, recreating multi-year reproductive histories of female northern fur seals and Steller sea lions.
DOI: 10.18164/3e849c05-c4f0-4b22-a1ba-376f66ca14bf
title: Hourly Concentrations of AQHI Constituents, Other Selected Trace Gases, and PM1 and PM10 - Sable Island Nova Scotia (2017 - Present)
title: Concentrations horaires des constituants de la CAS, autres gaz à l’état de traces sélectionnés, PM1 et PM10 – île de Sable, Nouvelle-Écosse (2017 – aujourd’hui)

description: Hourly values of AQHI (Air Quality Health Index) constituents (O3, NO2, PM2.5), other selected trace gases (SO2, H2S), and PM1 and PM10 mass concentrations collected at the Sable Island Upper Air Station, Sable Island, Nova Scotia, Canada. Data is available from January 2017, and is updated at least annually.
description: Valeurs horaires des constituants (O3, NO2, PM2.5) de la CAS (Cote air santé), autres gaz à l’état de traces sélectionnés (SO2, H2S), concentrations massiques des PM1 et PM10 mesurées à la station d’observation aérologique de l’île de Sable, Nouvelle-Écosse, Canada. Les données sont disponibles depuis janvier 2017 et sont mises à jour au moins une fois par année. CO ajouté en 2018.
DOI: 10.5281/zenodo.6780370
title: Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: UTEP Campus LIDAR

description: LiDAR point cloud data collected by FEMA and processed here to focus on the UTEP campus.
DOI: 10.5281/zenodo.6780369
title: Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: UTEP Campus LIDAR

description: LiDAR point cloud data collected by FEMA and processed here to focus on the UTEP campus.
DOI: 10.18164/2f2a8706-5436-46d2-b1b3-876edd0db389
title: Lake of the Woods Satellite-derived Daily Algal Bloom Indices
title: Indices de prolifération algale quotidiens dérivés du satellite Lac des Bois

description: This dataset contains lake-wide algal bloom indices (extent, intensity, and severity) of Lake of the Woods on a daily basis over the June through October monitoring season. These data are derived from satellite remote sensing algorithms using European Space Agency's (ESA's) MEdium Resolution Imaging Spectrometer (MERIS) sensor on the Envisat satellite (2002-2012) and ESA's Ocean and Land Colour Instrument (OLCI) sensor on the Sentinel 3A and Sentinel 3B satellites (2016-present). Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021). EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes. Ecological Indicators, 121, 106999. doi:10.1016/j.ecolind.2020.106999
description: Cet ensemble de données contient des indices quotidiens de prolifération d’algues (ampleur, intensité et gravité) à l’échelle du lac des Bois, pour la saison d’observation allant de juin à octobre. Ces données sont dérivées d’algorithmes de télédétection par satellite et ont été captées par le spectromètre imageur à moyenne résolution (MERIS) du satellite Envisat (2002-2012) et le capteur OLCI (Ocean and Land Colour Instrument) installé à bord des satellites Sentinel 3A et Sentinel 3B (de 2016 à aujourd’hui), de l’Agence spatiale européenne (ESA). Citation: Binding, C.E., Pizzolato, L., & Zeng, C. (2021). EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes. Ecological Indicators, 121, 106999. doi:10.1016/j.ecolind.2020.106999
DOI: 10.21227/sfay-ep68
title: Hackathon 2022: Bioinformatics: Drug Target

description: Challenge DescriptionThe traditional drug discovery process is expensive and time-consuming. Accelerating this process a significant challenge, for which taking a ML/AI-based pre-screening approach could assist us with high-throughput virtual pre-screening of huge amount of drug candidates to identify highly potent candidates for experimental testing and further validation.Goal:The goal of this challenge is to build effective ML/AI-based surrogate models that can accurately predict the docking scores of candidate drug molecules on SARS-CoV-2 protein targets.
DOI: 10.18164/285b4ef4-f9a3-46db-8109-7c1212fa41ae
title: Honey Harbour and Tadenac Bay Water Quality 2013 to 2016
title: Qualité de l’eau à Honey Harbour et dans la baie de Tadenac, 2013 à 2016

description: Off shore waters of Georgian Bay rarely experience excessive nutrient concentrations however, small embayments such as Honey Harbour, North and South Bay have experienced oxygen depletion, increased total phosphorus, a decrease in water clarity and the presence of filamentous attached algae. Low water levels in southern Georgian Bay along with temperature and hydrologic changes represent additional water quality and aquatic habitat management challenges.To address these issues the Government of Canada initiated the Lake Simcoe / South-eastern Georgian Bay Clean-Up Fund. The Fund supports various projects to improve conditions and supports science efforts to advance understanding of these conditions. Here we present water quality and physical data to investigate the causes and consequences of oxygen depletion and characterize phosphorus. Samples were collected monthly 2013 to 2016 during the ice free season from 9 stations in North and South Bay, 10 tributaries and 9 stations in Tadenac Bay, an unimpacted embayment. Winter sampling occurred in 2015 and 2016 at select stations.
description: Les eaux non littorales de la baie Georgienne présentent rarement des concentrations excessives de nutriments, mais de petites échancrures comme Honey Harbour, baie Sud et Nord, ont subi une déplétion d’oxygène, une augmentation de la quantité totale de phosphore, une clarté réduite des eaux et la présence d’algues filamenteuses enracinées. Les bas niveaux d’eau du sud de la baie Georgienne, combinés à des changements de température et hydrologiques, se traduisent par des difficultés supplémentaires à gérer l’habitat aquatique et la qualité de l’eau. Pour y contrer, le gouvernement du Canada a établi le Fonds d’assainissement du lac Simcoe et du sud-est de la baie Georgienne. Le Fonds soutient divers projets visant à améliorer les conditions de cette région et appuie les efforts scientifiques visant à acquérir une meilleure compréhension de ces conditions. Nous présentons ici des données sur la qualité de l’eau et des données physique qui permettront d’étudier les causes et les conséquences de la déplétion d’oxygène et de caractériser le phosphore. Des échantillons ont été prélevés tous les mois de 2013 à 2016 durant la saison sans glace à 9 stations de la baie Nord et Sud, 10 affluents et 9 stations de la baie Tadenac, qui est une échancrure non touchée. Des échantillons ont été prélevés en hiver en 2015 et 2016 à certaines stations.
DOI: 10.5517/ccdc.csd.cc2738h4
title: CCDC 2058725: Experimental Crystal Structure Determination

description: Related Article: Xiaobin Lin, Maoping Pu, Xinpeng Sang, Shiyang Li, Xiaohua Liu, Yun-Dong Wu, Xiaoming Feng|2022|Angew.Chem.,Int.Ed.|61|e202201151|doi:10.1002/anie.202201151
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc288gxy
title: CCDC 2093520: Experimental Crystal Structure Determination

description: Related Article: Chensen Li, Alastair K. Harrison, Yuchao Liu, Zhennan Zhao, Cheng Zeng, Fernando B. Dias, Zhongjie Ren, Shouke Yan, Martin R. Bryce|2022|Angew.Chem.,Int.Ed.|61|e202115140|doi:10.1002/anie.202115140
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28288x
title: CCDC 2087548: Experimental Crystal Structure Determination

description: Related Article: Naoya Kojima, Misaki Kato, Yusuke Sunada|2022|Chemical Science|13|7610|doi:10.1039/D2SC02302D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28289y
title: CCDC 2087549: Experimental Crystal Structure Determination

description: Related Article: Naoya Kojima, Misaki Kato, Yusuke Sunada|2022|Chemical Science|13|7610|doi:10.1039/D2SC02302D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28rr0t
title: CCDC 2108186: Experimental Crystal Structure Determination

description: Related Article: Bo Zhou, Dongpeng Yan|2022|Chemical Science|13|7429|doi:10.1039/D2SC01947G
description: Related Article: Bo Zhou|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28rr1v
title: CCDC 2108187: Experimental Crystal Structure Determination

description: Related Article: Bo Zhou, Dongpeng Yan|2022|Chemical Science|13|7429|doi:10.1039/D2SC01947G
description: Related Article: Bo Zhou|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6780358
title: Quantitative PCR from human genomic DNA: the determination of gene copy numbers for congenital adrenal hyperplasia and RCCX copy number variation

description: The dataset is related a study in which we aimed to simultaneously assess the performance of 7 quantitative polymerase chain reaction (qPCR) assays for the gene copy number (GCN) determination of the genetic elements of RCCX copy number variation (CNV). A single laboratory method validations of duplex qPCR assays with hydrolysis probes on <em>CYP21A1P</em> and <em>CYP21A2</em> genes, which are responsible for congenital adrenal hyperplasia, were performed using 46 human genomic DNA samples. We also performed the verifications on 5 qPCR assays for the genetic elements of RCCX CNV such as <em>C4A</em> gene, <em>C4B</em>, gene, RCCX CNV breakpoint, HERV-K(C4) CNV deletion and insertion alleles. The dataset contains the data of genomic DNA samples, the raw quantification cycle values of all qPCR experiments, the peak heights and dosage quotient of multiplex ligation-dependent probe amplification (MLPA) experiments, and the detailed GCN results based on qPCR and MLPA. All other analyses are available in our publication under the same title.
DOI: 10.5281/zenodo.6780357
title: Quantitative PCR from human genomic DNA: the determination of gene copy numbers for congenital adrenal hyperplasia and RCCX copy number variation

description: The dataset is related a study in which we aimed to simultaneously assess the performance of 7 quantitative polymerase chain reaction (qPCR) assays for the gene copy number (GCN) determination of the genetic elements of RCCX copy number variation (CNV). A single laboratory method validations of duplex qPCR assays with hydrolysis probes on <em>CYP21A1P</em> and <em>CYP21A2</em> genes, which are responsible for congenital adrenal hyperplasia, were performed using 46 human genomic DNA samples. We also performed the verifications on 5 qPCR assays for the genetic elements of RCCX CNV such as <em>C4A</em> gene, <em>C4B</em>, gene, RCCX CNV breakpoint, HERV-K(C4) CNV deletion and insertion alleles. The dataset contains the data of genomic DNA samples, the raw quantification cycle values of all qPCR experiments, the peak heights and dosage quotient of multiplex ligation-dependent probe amplification (MLPA) experiments, and the detailed GCN results based on qPCR and MLPA. All other analyses are available in our publication under the same title.
DOI: 10.5281/zenodo.6780354
title: single cell dataset for covid

description: The dataset is covid with data preprocessing. The covid dataset contains 65 million cells from 49 patients, out of which there were six healthy subjects, 23 mild cases of COVID, and 20 severe conditions under ICU care. For data pre-processing in the covid dataset, we collected the data for each experimental condition and removed unnamed proteins (columns with blank titles). We selected the remaining protein features and the entire cell population in the dataset. However, some genes are expressed as negative values in raw data; hence, we set every negative number to 0. Finally, the ward cases and ICU cases total contain 43 patients with 23 features.
DOI: 10.5281/zenodo.6780353
title: single cell dataset for covid

description: The dataset is covid with data preprocessing. The covid dataset contains 65 million cells from 49 patients, out of which there were six healthy subjects, 23 mild cases of COVID, and 20 severe conditions under ICU care. For data pre-processing in the covid dataset, we collected the data for each experimental condition and removed unnamed proteins (columns with blank titles). We selected the remaining protein features and the entire cell population in the dataset. However, some genes are expressed as negative values in raw data; hence, we set every negative number to 0. Finally, the ward cases and ICU cases total contain 43 patients with 23 features.
DOI: 10.18164/2839cc9c-f728-4dac-b537-b67e5133aea9
title: Great Lakes Sediment Monitoring and Surveillance Data
title: Données de surveillance et de monitoring des sédiments dans les Grands Lacs

description: Sediment quality data from the Great Lakes collected to determine baseline status, long term trends and spatial distributions, the effectiveness of management actions, determine compliance with sediment quality objectives and identify emerging issues are included in this dataset.
description: Les données de qualité des sédiments dans les Grands Lacs recueillies en vue d'évaluer les niveaux de base, les tendances à long terme et la distribution spatiale, d'évaluer l'efficacité des mesures de gestion, de déterminer la conformité aux objectifs de qualité de l'eau et d'identifier des problèmes émergents sont incluses dans cet ensemble de données.
DOI: 10.6084/m9.figshare.20186591
title: Followup questionnaire

description: This is the semi-structured questionnaire that we held about a year after the examiner training programme was held, with its results asking about the examiners' self-perceived behavioural changes during the whole examination process.
DOI: 10.6084/m9.figshare.20186591.v2
title: Followup questionnaire

description: This is the semi-structured questionnaire that we held about a year after the examiner training programme was held, with its results asking about the examiners' self-perceived behavioural changes during the whole examination process.
DOI: 10.6084/m9.figshare.20186591.v1
title: Followup questionnaire

description: This is the semi-structured questionnaire that we held about a year after the examiner training programme was held, with its results asking about the examiners' self-perceived behavioural changes during the whole examination process.
DOI: 10.6084/m9.figshare.20186582
title: pretest v posttrest results.pdf

description: This are the results of the pre- and posttest in graphical form.
DOI: 10.6084/m9.figshare.20186582.v1
title: pretest v posttrest results.pdf

description: This are the results of the pre- and posttest in graphical form.
DOI: 10.18164/266a47f1-14b0-44be-a2de-5585da7ed527
title: Hamilton Harbour AOC Sediment Exposure to Fathead Minnow
title: Exposition de sédiments AOC port de Hamilton au méné tête-de-boule

description: This dataset contains the growth and survival data for Fathead minnow (Pimephales promelas) exposed to sediment from twelve sites within the Hamilton Harbour Area of Concern, as well as reference sediment (a mixture of sediment from two reference sites within Lake Erie, Long Point Marsh and Long Point Bay). The embryo-larval Fathead minnow exposure occurred over a three week period. Exposure was done from the egg stage (which lasted 5 days) to 9 and 16 days post hatch.
description: Ce ensemble de données contient les données de croissance et de survie de la méné de tête-de-boule (Pimephales promelas) exposées à des sédiments provenant de douze sites de la zone préoccupante du havre de Hamilton, ainsi que des sédiments de référence (un mélange de sédiments provenant de deux sites de référence dans le lac Érié, Long Point Marsh et Long Point Bay). L'exposition à l'embryon-larve de tête-de-boule s'est produite sur une période de trois semaines. L'exposition a été faite à partir de la phase d'oeuf (qui a duré 5 jours) à 9 et 16 jours après l'éclosion.