cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fb4tr
title: CCDC 2244084: Experimental Crystal Structure Determination

description: Related Article: Jin-Yi Liu, Shi-Yi Zhuang, Yong-Xing Tang, Xiang-Long Chen, You Zhou, Yan-Dong Wu, Kai-Lu Zheng, An-Xin Wu|2023|J.Org.Chem.|88|12000|doi:10.1021/acs.joc.3c01327
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.cc2fh133
title: CCDC 2248774: Experimental Crystal Structure Determination

description: Related Article: Małgorzata Pamuła, Evgeny Bulatov, Luis Martínez-Crespo, Anniina Kiesilä, Julia Naulapää, Elina Kalenius, Kaisa Helttunen|2023|Org.Biomol.Chem.|21|6595|doi:10.1039/D3OB00919J
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.cc2fh144
title: CCDC 2248775: Experimental Crystal Structure Determination

description: Related Article: Małgorzata Pamuła, Evgeny Bulatov, Luis Martínez-Crespo, Anniina Kiesilä, Julia Naulapää, Elina Kalenius, Kaisa Helttunen|2023|Org.Biomol.Chem.|21|6595|doi:10.1039/D3OB00919J
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.cc2fh155
title: CCDC 2248776: Experimental Crystal Structure Determination

description: Related Article: Małgorzata Pamuła, Evgeny Bulatov, Luis Martínez-Crespo, Anniina Kiesilä, Julia Naulapää, Elina Kalenius, Kaisa Helttunen|2023|Org.Biomol.Chem.|21|6595|doi:10.1039/D3OB00919J
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.cc2fjx96
title: CCDC 2250578: Experimental Crystal Structure Determination

description: Related Article: John S. Wenger, Addis Getahun, Timothy C. Johnstone|2023|Dalton Trans.|52|11325|doi:10.1039/D3DT02113K
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.cc2fjxd9
title: CCDC 2250581: Experimental Crystal Structure Determination

description: Related Article: John S. Wenger, Addis Getahun, Timothy C. Johnstone|2023|Dalton Trans.|52|11325|doi:10.1039/D3DT02113K
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: 10.48511/bjhp-8x25
title: Enid Lake Field Water Quality

description: The East Kootenay Invasive Species Council (EKISC) conducts invasive mussel monitoring on various waterbodies across the region. A water sample is taken at each lake using a plankton tow net to test for invasive Zebra and Quagga mussel larva. Ancillary data including temperature, pH, and Secchi depth are taken at each water body and are shared in this dataset. Higher priority lakes (i.e., lakes that receive more transient use) are sampled twice per month, while lower priority lakes are sampled once per month from the beginning of June until the end of September.

This program is funded by a grant program administered by the Habitat Conservation Trust Foundation (HCTF) in partnership with B.C’s Ministry of Environment and Climate Change Strategy.
DOI: 10.6084/m9.figshare.20767777
title: Genome sequence assembly of the Brazilian mangaba fruit (Hancornia speciosa)

description: A genome sequence assembly of the Brazilian mangaba fruit (Hancornia speciosa). We generated raw subreads using Pacbio Sequel II from DNA extracted out of a single individual. Canu v1.8 pipeline was used to perform read correction and read trimming resulting in nearly 50x sequencing coverage of the expected haploid DNA content of 430 Mb. Unitig construction resulted in a total of 3,447 consensus sequences larger than 5kbp, totaling 417 Mbp with NG50 value of 0.66 Mbp. This dataset contains the FASTA formatted file and basic sequence-level statistics calculated on the basis of the script assemblathon_stats.pl (github.com/ucdavis-bioinformatics/assemblathon2-analysis) and some metadata on sequences generated by the Canu program.
DOI: 10.48511/bxqd-at68
title: Loon Lake Field Water Quality

description: The East Kootenay Invasive Species Council (EKISC) conducts invasive mussel monitoring on various waterbodies across the region. A water sample is taken at each lake using a plankton tow net to test for invasive Zebra and Quagga mussel larva. Ancillary data including temperature, pH, and Secchi depth are taken at each water body and are shared in this dataset. Higher priority lakes (i.e., lakes that receive more transient use) are sampled twice per month, while lower priority lakes are sampled once per month from the beginning of June until the end of September.

This program is funded by a grant program administered by the Habitat Conservation Trust Foundation (HCTF) in partnership with B.C’s Ministry of Environment and Climate Change Strategy.
DOI: 10.34740/kaggle/dsv/6363388
title: Graphics Card Price in Daraz Online Shopping
DOI: 10.5281/zenodo.8284409
title: Data accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response"

description: Data and code accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response".
DOI: 10.5281/zenodo.8284410
title: Data accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response"

description: Data and code accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response".
DOI: 10.5281/zenodo.8284422
title: Data accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response"

description: Data and code accompanying "Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response".
DOI: 10.15139/s3/ggblut
title: Violence Against Children and Youth Surveys (VACS)

description: VACS measure physical, emotional, and sexual violence against children and youth up to age 24.
DOI: 10.15139/s3/9ir5vr
title: Health Inequality Data Repository

description: The Health Inequality Data Repository is the largest global collection of disaggregated data about health and determinants of health - with nearly 11 million data points across more than 2000 indicators. These data can be explored directly through the Health Equity Assessment Toolkit (HEAT), an interactive software which facilitates the examination of inequalities and the evaluation of relevant interventions to address them (*Launch April 20, 2023)
DOI: 10.15139/s3/bomi7m
title: TB Genotyping Information Management System

description: The TB Genotyping Information Management System (TB GIMS) is a secure Web-based system designed to improve access and dissemination of genotyping information nationwide. The system: (1) Stores and manages genotyping data on TB patients in the United States, (2) Allows users to submit and track Mycobacterium tuberculosis isolates to and from the contract genotyping labs, (3) Provides immediate notification of genotyping results and updates to TB labs and programs, (4) Links isolate data to patient-level surveillance data (5) Provides reports on genotype clusters, including national genotype distribution, (6) Provides national, state, and county maps of genotype clusters
DOI: 10.15139/s3/bpi0ra
title: Global individual patient data (IPD) platform for tuberculosis treatment (TB-IPD)

description: The goal of the IPD is to increase the knowledge base for normative guidance on optimal treatment modalities for TB and stimulate TB research. This will be done both by aggregating Individual Patient Data where possible into a single dataset, and also by encouraging and facilitating scientists to develop novel research proposals that make use of the data.
DOI: 10.15139/s3/2h4ztu
title: TB Trials Consortium (TBTC)

description: CDC assesses the need for and conducts studies of new or existing drugs and regimens used in the prevention and treatment of TB, including dosage, duration, pharmacokinetics, and toxicity. Currently, most of these trials and studies are conducted by the Tuberculosis Trials Consortium (TBTC), a unique collaboration of researchers from CDC, domestic and international public health departments and academic medical centers, and selected Veterans Administration medical centers. TBTC's mission is to conduct programmatically relevant research concerning the diagnosis, clinical management, and prevention of tuberculosis infection and disease.
DOI: 10.15139/s3/wo6enw
title: TB Epidemiological Studies Consortium (TBESC)

description: The Tuberculosis Epidemiologic Studies Consortium (TBESC) is a CDC-funded initiative to carry out observational epidemiologic research and related studies to improve identification, diagnosis, prevention, and control of TB disease and latent TB infection. TBESC is one of CDC's flagship TB research consortia tasked with identifying approaches to accelerate TB elimination in the United States. The current research cycle, known as TBESC-III, began in September 2021 and ends in March 2026. TBESC-III objectives include: (1) Identify primary care settings that serve non-U.S.-born persons at elevated risk for TB infection, (2) Collect retrospective and prospective electronic medical record data, (3) Design and implement primary-care-based interventions to improve performance measures across the latent TB infection care cascade, (4) Monitor and evaluate intervention performance over time to identify efficient and effective strategies to prevent TB disease, (5) Estimate the potential health and economic impacts of TBESC-III clinical care-based interventions.
DOI: 10.34740/kaggle/dsv/6364992
title: Graphics Card Price in Daraz Online Shopping
DOI: 10.5281/zenodo.8284425
title: Supplementary Data for "Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results from a Community-Partnered Low-cost Sensor Deployment"

description: These are the underlying data sets needed to build the kriging maps and calculate dissemination block cumulative hazard indices described in the paper. There are three data sets: <strong>"Sampling location names and coordinates.csv"</strong>: locations and IDs of the low-cost sensors and the regulatory monitoring stations used in this work.<strong> [NOTE: </strong>latitudes and longitudes for the sensor deployments have been intentionally rounded to protect the location of volunteer sensor hosts.] <strong>"Dissemination Block Populations.csv"</strong>: These are the relevant dissemination blocks in the study domain and their associated populations. This information was originally extracted from: https://censusmapper.ca/#13/49.2430/-123.1252 <strong>"Daily average concentrations by site and pollutant.csv"</strong>: This contains the PM2.5, NO2 and O3 daily averages for the entire study period across all low-cost sensor sites and regulatory monitoring stations. Refer to "Sampling location names and coordinates.csv" to parse the labels in this data set. There is also a sample code in Python to construct the kriging maps provided in 2 formats. <strong>[NOTE: </strong>we have intentionally excluded uploading the exact data sets imported by this code; our original data contains exact locations of sensor host volunteers and thus cannot be shared.] <strong>"Jain et al - GeoHealth - Kriging Script.ipynb"</strong>: A Jupyter notebook script to import the data, build kriging maps, calculate CHIs, and export the data. <strong>" Jain et al - GeoHealth - Kriging Script.pdf"</strong>: A PDF export of the Jupyter notebook so that you can read the Python scripts even if you are not a Jupyter notebooks user.
DOI: 10.6084/m9.figshare.24030186.v1
title: <b>Brood costs, ontogeny of energy use, and </b><b>a metabolic composition model</b><b> in </b><b>harvester</b><b> ant colonies</b>

description: Respirometry data of 25 ant colonies over 3.5 years and analytic tools in R.
DOI: 10.5519/qd.zbk8311k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (108 records)
DOI: 10.6084/m9.figshare.24036567
title: Code and Data

description: Tar and zipped folder containing code and data used
DOI: 10.25345/c5wp9th7x
title: MassIVE MSV000092755 - Labeled Glucose Dosing Pilot May 2023
title: Pilot to identify the best dosage for the C13 labeling of glucose
DOI: 10.6084/m9.figshare.22944422
title: Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator

description: Replicability package for the paper: "Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator"
DOI: 10.6073/pasta/b1f8eb34c788eb885534bef9bee867f9
title: Fish Facilities Salvage Data from 1993-2022

description: The Bureau of Reclamation’s (Reclamation) Central Valley Project (CVP) delivers up to over three million acre-feet of water annually for agricultural, municipal, industrial, and environmental needs in California from the Sacramento-San Joaquin River Delta (Delta) through the C.W. “Bill” Jones Pumping Plant (JPP; Figure 1). A Reclamation operated fish salvage facility, the Tracy Fish Collection Facility (TFCF), is located upstream of the JPP and functions to salvage fish entrained in exported water (Bates and Vinsonhaler 1957). Additionally, the John E. Skinner Delta Fish Protective Facility (SDFPF) added by the department of water resources in 1968 to salvage fishes diverted by the State water Project (SWP). Salvage process involves fish collection, counting, handling and transportation back to Delta. To prevent fish loss, a fish facility was constructed at Old river, where fish were diverted to the fish facility for counting and reporting. Currently, after counting, the fish are collected in storage tanks and taken to several release locations in the Delta via fish-haul tank trucks. Around 19,024,323 fishes from 31 species were salvaged through this process from 1993-2021 by the two fish facilities. The top five species salvaged by both the facilities in 2021 were Threadfin Shad (31%), Bluegill (25%), Largemouth Bass (6%), Inland Silverside (6%), and Striped Bass (5%). Fishes listed (ESA or CESA) or fish species salvaged under special study salvaged from 1993-2021 were Chinook Salmon [1,122,436 (76%)], Delta Smelt [201,408 (14%)], steelhead trout [110,720 (7%)], Longfin Smelt [41,173 (3%)], and Green Sturgeon [654 (0.04%)] respectively (Fig.2). There are 5 comma-separated values (csv) files with all variables required for salvage calculations and each individual file for total salvage by month, year, and species from 1993-2021.
DOI: 10.6084/m9.figshare.22658962
title: OCT+CHH_Data for depository_JCPB.xlsx

description: <strong>Study: </strong> The role of octopamine and crustacean hyperglycemic hormone (CHH) in branchial acid-base regulation in the European green crab, <em>Carcinus maenas</em> Experiments: Ussing-chamber, gill perfusions, quantitative PCR, mRNA abundance<em> </em>
DOI: 10.6084/m9.figshare.22658962.v1
title: OCT+CHH_Data for depository_JCPB.xlsx

description: <strong>Study: </strong> The role of octopamine and crustacean hyperglycemic hormone (CHH) in branchial acid-base regulation in the European green crab, <em>Carcinus maenas</em> Experiments: Ussing-chamber, gill perfusions, quantitative PCR, mRNA abundance<em> </em>
DOI: 10.25345/c5rx93q35
title: MassIVE MSV000092756 - 05092023-neg-philic-data-backup
title: Human serum samples from Johns Hopkins University. LCMS run on 05-09-2023. Polar HILIC column in negative mode. This project is about the chagas disease progression. Four groups in this dataset: infected-progressed, infected-non-progressed, uninfected-progressed, uninfected-non-progressed. We want to compare the progressed and non-progressed in infected groups to see the changes of metabolites related to the disease progression.
DOI: 10.6084/m9.figshare.24036591
title: C.maenas hypercapnia octopamine

description: Dataset fro publication:<b>Metabolic and endocrine responses to short-term high </b><i><b>p</b></i><b>CO</b><sub><strong>2</strong></sub><b> acclimation in the European green crab, </b><i><b>Carcinus maenas</b></i>
DOI: 10.6084/m9.figshare.24036591.v1
title: C.maenas hypercapnia octopamine

description: Dataset fro publication:<b>Metabolic and endocrine responses to short-term high </b><i><b>p</b></i><b>CO</b><sub><strong>2</strong></sub><b> acclimation in the European green crab, </b><i><b>Carcinus maenas</b></i>
DOI: 10.25345/c5n58cw9q
title: MassIVE MSV000092757 - 05092023-pos-pc18-data-backup-JH-human-serum-project
title: Human serum samples from Johns Hopkins University. LCMS run on 05-09-2023. Polar C18 column in positive mode. This project is about the chagas disease progression. Four groups in this dataset: infected-progressed, infected-non-progressed, uninfected-progressed, uninfected-non-progressed. We want to compare the progressed and non-progressed in infected groups to see the changes of metabolites related to the disease progression.
DOI: 10.6084/m9.figshare.24036564
title: Stability of Monkeypox Virus in Body Fluids and Wastewater

description: The outbreak of human monkeypox has highlighted knowledge gaps in potential environmental exposure risks. This data shows that monkeypox can remain infectious on surfaces for up to 2-3 weeks. Monkeypox is more stable in a liquid environment, whereas drying reduces the half-live. A highly proteinaceous environment like blood and semen protects against decay irrespective of the matrix state.
DOI: 10.5281/zenodo.5752123
title: Seed color and size analysis using sample quinoa images

description: The dataset comprises of sample quinoa images acquired using a scanner. In addition, Matlab code is provided that can be used to extract the color and size features. The project was funded by competitive USDA-NIFA Agriculture and Food Research Initiative award WNP08532 (accession no. 1008828).
description: {"references": ["Zhang, C., & Sankaran, S. (2022). High-Throughput Extraction of Seed Traits Using Image Acquisition and Analysis. In High-Throughput Plant Phenotyping: Methods and Protocols (pp. 71-76). New York, NY: Springer US."]}
DOI: 10.5281/zenodo.5752124
title: Seed color and size analysis using sample quinoa images

description: The dataset comprises of sample quinoa images acquired using a scanner. In addition, Matlab code is provided that can be used to extract the color and size features. The project was funded by competitive USDA-NIFA Agriculture and Food Research Initiative award WNP08532 (accession no. 1008828).
description: {"references": ["Zhang, C., & Sankaran, S. (2022). High-Throughput Extraction of Seed Traits Using Image Acquisition and Analysis. In High-Throughput Plant Phenotyping: Methods and Protocols (pp. 71-76). New York, NY: Springer US."]}
DOI: 10.5281/zenodo.8187870
title: Geodetic displacement data from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study.

description: This repository the results produced by Hurtado-Pulido, Amer, Ebinger, and Holcomb “Variations in subsidence patterns in the Gulf of Mexico passive margin from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study”. This repository presents data sets for figures 4, 5, 6, 7 and 8. Processing methods are described in the paper. The READme file contains details about each file. Please address any questions about this dataset to Hurtado-Pulido. LiDAR data from 1999 is stored and distributed by the Atlas: The Louisiana Statewide GIS (https://maps.ga.lsu.edu/lidar2000/). LiDAR data from 2018 is stored and distributed by the USGS Server through The National Map Download Manager (https://apps.nationalmap.gov/downloader/). EnviSAT SAR images were retrieved from the Earth Observation Catalogue (https://eocat.esa.int/sec/#data-services-area). Sentinel-1 SAR images from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home). Both property of the European Space Agency. GNSS information was processed by the Nevada Geodetic Laboratory (Blewitt et al., 2018; http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html). Data from water, injection, and extraction wells is stored in the Strategic Online Natural Resources Information System property of the Louisiana Department of Natural Resources (http://sonris-www.dnr.state.la.us/gis/agsweb/IE/JSViewer/index.html?TemplateID=181).
DOI: 10.5281/zenodo.8187869
title: Geodetic displacement data from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study.

description: This repository the results produced by Hurtado-Pulido, Amer, Ebinger, and Holcomb “Variations in subsidence patterns in the Gulf of Mexico passive margin from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study”. This repository presents data sets for figures 4, 5, 6, 7 and 8. Processing methods are described in the paper. The READme file contains details about each file. Please address any questions about this dataset to Hurtado-Pulido. LiDAR data from 1999 is stored and distributed by the Atlas: The Louisiana Statewide GIS (https://maps.ga.lsu.edu/lidar2000/). LiDAR data from 2018 is stored and distributed by the USGS Server through The National Map Download Manager (https://apps.nationalmap.gov/downloader/). EnviSAT SAR images were retrieved from the Earth Observation Catalogue (https://eocat.esa.int/sec/#data-services-area). Sentinel-1 SAR images from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home). Both property of the European Space Agency. GNSS information was processed by the Nevada Geodetic Laboratory (Blewitt et al., 2018; http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html). Data from water, injection, and extraction wells is stored in the Strategic Online Natural Resources Information System property of the Louisiana Department of Natural Resources (http://sonris-www.dnr.state.la.us/gis/agsweb/IE/JSViewer/index.html?TemplateID=181).
DOI: 10.25345/c5hd7p350
title: MassIVE MSV000092758 - 05092023-neg-pc18-data-backup-JH-human-serum-project
title: Human serum samples from Johns Hopkins University. LCMS run on 05-09-2023. Polar C18 column in negative mode. This project is about the chagas disease progression. Four groups in this dataset: infected-progressed, infected-non-progressed, uninfected-progressed, uninfected-non-progressed. We want to compare the progressed and non-progressed in infected groups to see the changes of metabolites related to the disease progression.
DOI: 10.25345/c5cn6z91v
title: MassIVE MSV000092759 - Carnitine treatment against Chagas disease
title: CC12 infected with T. cruzi parasites and treated with Carnitine and Benznidazole during 72 h. It was used HILIC column on negative mode.