cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8180524
title: CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.

description: <strong>CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.</strong> This is a shoreline atlas of California at 30m resolution, to support analysis of CoastSat/CoastSeg-derived shoreline time-series and other shoreline data, and miscellaneous analyses of coastal shoreline data. The dataset consists of a GeoJSON files containing a 30-m shoreline estimate for California, based on an analysis of 2014 Landsat imagery (Sayre et al., 2019). This shoreline vector has been attributed with the following fields that may be useful in analyses of shoreline patterns and regional variability: MEAN_SIG_WAVEHEIGHT (m) TIDAL_RANGE (m) CHLOROPHYLL (mg/L) TURBIDITY TEMP_MOISTURE (descriptive) EMU_PHYSICAL (descriptive) REGIONAL_SINUOSITY GHM MAX_SLOPE (%) OUTFLOW_DENSITY ERODIBILITY (descriptive) LENGTH_GEO ch_label (descriptive) river_label (descriptive) sinuosity_label (descriptive) slope_label (descriptive) tidal_label (descriptive) turbid_label (descriptive) wave_label (descriptive) CSU_Descriptor (descriptive) CSU_ID elevation (m) aspect (degrees N) slope (degrees) Fields 1 to 21 inclusive originally come from raw data https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk, which is described in Sayre et al (2019) Fields 22 and 24 come from raw data originally in the U.S. Geological Survey Elevation Derivatives for National Applications (EDNA) database (https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-elevation-derivatives-national), accessed through Earth Explorer and processed in QGIS. The figure shows distributions of selected quantities. A python script to reproduce this plot is provided A subset of numeric-only variables and descriptive-only variables has also been prepared and made available. A CSV version of the full dataset is also provided <strong>References</strong> Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: 10.1080/1755876X.2018.1529714 Elevation Derivatives for National Applications (EDNA) Seamless Three-Dimensional Hydrologic Database Digital Object Identifier (DOI) number: /10.5066/F7TD9VTQ
DOI: 10.5281/zenodo.8180523
title: CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.

description: <strong>CoastSeg: 30-m atlas of the coastal shoreline attributes of California, in geoJSON format.</strong> This is a shoreline atlas of California at 30m resolution, to support analysis of CoastSat/CoastSeg-derived shoreline time-series and other shoreline data, and miscellaneous analyses of coastal shoreline data. The dataset consists of a GeoJSON files containing a 30-m shoreline estimate for California, based on an analysis of 2014 Landsat imagery (Sayre et al., 2019). This shoreline vector has been attributed with the following fields that may be useful in analyses of shoreline patterns and regional variability: MEAN_SIG_WAVEHEIGHT (m) TIDAL_RANGE (m) CHLOROPHYLL (mg/L) TURBIDITY TEMP_MOISTURE (descriptive) EMU_PHYSICAL (descriptive) REGIONAL_SINUOSITY GHM MAX_SLOPE (%) OUTFLOW_DENSITY ERODIBILITY (descriptive) LENGTH_GEO ch_label (descriptive) river_label (descriptive) sinuosity_label (descriptive) slope_label (descriptive) tidal_label (descriptive) turbid_label (descriptive) wave_label (descriptive) CSU_Descriptor (descriptive) CSU_ID elevation (m) aspect (degrees N) slope (degrees) Fields 1 to 21 inclusive originally come from raw data https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk, which is described in Sayre et al (2019) Fields 22 and 24 come from raw data originally in the U.S. Geological Survey Elevation Derivatives for National Applications (EDNA) database (https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-elevation-derivatives-national), accessed through Earth Explorer and processed in QGIS. The figure shows distributions of selected quantities. A python script to reproduce this plot is provided A subset of numeric-only variables and descriptive-only variables has also been prepared and made available. A CSV version of the full dataset is also provided <strong>References</strong> Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: 10.1080/1755876X.2018.1529714 Elevation Derivatives for National Applications (EDNA) Seamless Three-Dimensional Hydrologic Database Digital Object Identifier (DOI) number: /10.5066/F7TD9VTQ
DOI: 10.5066/p9g8v371
title: Compilation of cost estimates for dam removal projects in the United States

description: This dataset provides cost estimates for 668 dam removal projects occurring in the United States. Cost estimates were obtained by searching the internet for sources of information that mention the cost of dam removal projects listed in the USGS Dam Removal Information Portal. When cost data were not available for a dam removal but contact information was, then personal communications were used to acquire additional cost information. The accuracy of estimates is not known but we assume that most estimates represent close to the total cost or the minimum financial cost, with overestimates being rare. Total cost information could include component costs related to project planning, dam deconstruction cost, and several categories of mitigation for dam removal, such as sediment removal, water diversions, water treatment plants, revegetation, and bank stabilization efforts. We tracked cost estimates and project details from several types of source material, including technical reports, books, newspaper articles, web pages including blog posts, and presentations. The original cost estimate and the year in which the cost estimate was made (most often the same date as dam removal) was used to calculate the cost in 2020 dollars adjusted for inflation using RS Means, an inflation calculator that is used in the construction industry. Information about each dam includes the purpose, size, and construction material, and reason for removal. Additional geographic information about the location of the dam, the river the dam occurred on, and watershed characteristics were obtained from the National Hydrography Dataset Plus (NHDPlus version Version 2.1). Finally, we collected source material about the presence of 32 different categories of cost drivers that could explain the overall cost of the dam removal project. This data release contains a CSV file of the core cost database, a JSON file with citation information for sources used to develop the cost database, and a PDF file of evidence that serves as a backup in cases of URL failure for internet sourced material. For usability of dam removal cost source information, a zotero citation collection is also available at https://www.zotero.org/groups/4725574/dam_removal_cost/library.
DOI: 10.3886/e192743v1
title: 2022 Community Perceptions of Flood Mitigation Survey

description: The 2022 Community Perceptions of Flood Mitigation Survey is a random telephone survey of Harris County (Houston), Texas area adults over the age of 18. The main goal of the survey is to understand how residents of a flood prone city understand their risk of natural disaster, as well as how their community and individual-level circumstances contribute to those feelings of perceived risk. We also asked a series of questions on flood mitigation strategies and efforts being made within the Houston Area to curb the effects of flooding. The survey was conducted throughout March-April of 2022 though a combination of random digit cellphone dials, random digit landline dials, and listed cell phone dials for a total N of 700 respondents. Survey documentation including questionnaires, in both English and Spanish, and a methodological appendix have been made publicly available here. For use of the de-identified version of the survey, please contact the PI, Kathryn Freeman Anderson, at kateanderson@uh.edu to request the survey data file.<br>
description: Response Rates: 11.34% for eligible participants
description: Random telephone sample of Harris County (Houston), Texas adults (N=700)
description: Adults (age 18 and above) living in Harris County (Houston), Texas.
description: telephone interview;
DOI: 10.6084/m9.figshare.23750604
title: Datasets

description: Empirical and similated datasets
DOI: 10.5517/ccdc.csd.cc2fkdq4
title: CCDC 2251056: Experimental Crystal Structure Determination

description: Related Article: Abdur Rouf Samim Mondal, Bhismalochan Ghorai, Durga Prasad Hari|2023|Org.Lett.|25|4974|doi:10.1021/acs.orglett.3c01549
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: 10.20375/0000-000f-ff68-e
title: Documentation-Data-Collection.pdf
DOI: 10.20375/0000-000f-ff69-d
title: ReFu0322.sav
DOI: 10.20375/0000-000f-ff6a-c
title: ReFu0322.xlsx
DOI: 10.48320/364d1fd4-5d57-4d94-9f02-a3e722ddd5f9
title: Survey of internally displaced persons in Western Ukraine (March/April 2022)
DOI: 10.7910/dvn/zvnrcm
title: TikTok #Asthma Data

description: The dataset provides a comprehensive overview of asthma-related content on the social media platform TikTok. It includes data from the top 100 asthma-related videos, categorized based on the content creator's profession, sex, physician specialty (for physician-created content), and the type of experiences shared in the videos. Additionally, the dataset offers valuable insights into the popularity of these videos, measured by average views, likes, comments, shares, and favorites, as well as the content quality, evaluated using the DISCERN instrument, which assesses written consumer health information adapted for video content. This dataset is a valuable resource for researchers and healthcare professionals aiming to understand the landscape of asthma health information dissemination on TikTok and its implications for effective engagement with the TikTok community.
DOI: 10.5281/zenodo.8184570
title: ctenopoma_multispine_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8184569
title: ctenopoma_multispine_decontaminated_gx.fasta.gz

description: .
DOI: 10.35077/add-pop
title: Male_1_5to6_days_dorsal: Image stack of a wild type Canton S fly head (dorsal)

description: Image stacks of wild type Canton S fly heads using white light illumination. These images were used to classify and quantify the head bristles (mechanosensory structures). The processed images are published in Figure 1 and Figure 1 – figure supplements 1-2 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The stacks used to produce these images are organized based on gender, individual (e.g. Fly_1 and Fly_2), and head orientation (e.g. anterior and posterior).
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'Male_1_5to6_days_dorsal: Image stack of a wild type Canton S fly head (dorsal)', GeneralModality:'other', Technique:'other', Other:'bright field' SPECIMEN METADATA: LocalID:'Male_1_5to6_days_dorsal', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 6', Ageunit:'Days', Sex:'Male', Genotype:'Canton S (wild type)', OrganName:'Peripheral', SampleLocalID:'Male_1_5to6_days_dorsal', Locations:'Peripheral' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss Axio Examiner D1', ObjectiveName:'Zeiss 10x objective (Achroplan 10x/0.25) ', ObjectiveNA:'0.25', ObjectiveMagnification:'10x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'white', displayColor:'white', stepSizeX:'0.432129', stepSizeY:'0.432129'
DOI: 10.5281/zenodo.8184581
title: cichlasoma_orientale_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8184580
title: cichlasoma_orientale_decontaminated_gx.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc28fx7w
title: CCDC 2098738: Experimental Crystal Structure Determination

description: Related Article: Bingbing Dong, Min Liu, Yunpu Li, Wenjuan Zhu, Siyuan Li, Tongtong Wang, Ying-Guo Liu, Junliang Wu|2023|Org.Chem.Front.|10|3732|doi:10.1039/D3QO00748K
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.cc28fxwj
title: CCDC 2098758: Experimental Crystal Structure Determination

description: Related Article: Bingbing Dong, Min Liu, Yunpu Li, Wenjuan Zhu, Siyuan Li, Tongtong Wang, Ying-Guo Liu, Junliang Wu|2023|Org.Chem.Front.|10|3732|doi:10.1039/D3QO00748K
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.cc28j342
title: CCDC 2100843: Experimental Crystal Structure Determination

description: Related Article: Bingbing Dong, Min Liu, Yunpu Li, Wenjuan Zhu, Siyuan Li, Tongtong Wang, Ying-Guo Liu, Junliang Wu|2023|Org.Chem.Front.|10|3732|doi:10.1039/D3QO00748K
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.cc2c817y
title: CCDC 2182469: Experimental Crystal Structure Determination

description: Related Article: Chun-Yan Wu, Xiang-Long Chen, Huai-Yu Wang, Dong-Sheng Yang, Shi-Yi Zhuang, You Zhou, Zhi-Cheng Yu, Yan-Dong Wu, Xiao Geng, An-Xin Wu|2023|Org.Chem.Front.|10|3741|doi:10.1039/D3QO00609C
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.cc2c8w7s
title: CCDC 2183275: Experimental Crystal Structure Determination

description: Related Article: Shuai Shi, Xueyan Zhao, Dengfeng Chen, Jinyue Luo, Saihu Liao, Shenlin Huang|2023|Org.Chem.Front.|10|3805|doi:10.1039/D3QO00639E
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.cc2ck7mt
title: CCDC 2191316: Experimental Crystal Structure Determination

description: Related Article: Sekar Pranesh Kavin, Rengan Ramesh|2023|Dalton Trans.|52|10038|doi:10.1039/D3DT01628E
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.cc28fxc0
title: CCDC 2098742: Experimental Crystal Structure Determination

description: Related Article: Bingbing Dong, Min Liu, Yunpu Li, Wenjuan Zhu, Siyuan Li, Tongtong Wang, Ying-Guo Liu, Junliang Wu|2023|Org.Chem.Front.|10|3732|doi:10.1039/D3QO00748K
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.cc28fy6w
title: CCDC 2098768: Experimental Crystal Structure Determination

description: Related Article: Bingbing Dong, Min Liu, Yunpu Li, Wenjuan Zhu, Siyuan Li, Tongtong Wang, Ying-Guo Liu, Junliang Wu|2023|Org.Chem.Front.|10|3732|doi:10.1039/D3QO00748K
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.cc2dcq7r
title: CCDC 2215794: Experimental Crystal Structure Determination

description: Related Article: Chaoyang Song, Tingwei Shen, Lingzhu Chen, Tingting Li|2023|Org.Chem.Front.|10|3792|doi:10.1039/D3QO00395G
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.cc2dcqcw
title: CCDC 2215798: Experimental Crystal Structure Determination

description: Related Article: Chaoyang Song, Tingwei Shen, Lingzhu Chen, Tingting Li|2023|Org.Chem.Front.|10|3792|doi:10.1039/D3QO00395G
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.cc2dd195
title: CCDC 2216106: Experimental Crystal Structure Determination

description: Related Article: Meilan Zhang, Hanwei Lu, Hebo Ye, Ziyi Li, Yu Hai, Lei You|2023|Org.Chem.Front.|10|3889|doi:10.1039/D3QO00418J
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.cc2dd1b6
title: CCDC 2216107: Experimental Crystal Structure Determination

description: Related Article: Meilan Zhang, Hanwei Lu, Hebo Ye, Ziyi Li, Yu Hai, Lei You|2023|Org.Chem.Front.|10|3889|doi:10.1039/D3QO00418J
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.cc2dd1c7
title: CCDC 2216108: Experimental Crystal Structure Determination

description: Related Article: Meilan Zhang, Hanwei Lu, Hebo Ye, Ziyi Li, Yu Hai, Lei You|2023|Org.Chem.Front.|10|3889|doi:10.1039/D3QO00418J
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.cc2dd1d8
title: CCDC 2216109: Experimental Crystal Structure Determination

description: Related Article: Meilan Zhang, Hanwei Lu, Hebo Ye, Ziyi Li, Yu Hai, Lei You|2023|Org.Chem.Front.|10|3889|doi:10.1039/D3QO00418J
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.cc2dd1f9
title: CCDC 2216110: Experimental Crystal Structure Determination

description: Related Article: Meilan Zhang, Hanwei Lu, Hebo Ye, Ziyi Li, Yu Hai, Lei You|2023|Org.Chem.Front.|10|3889|doi:10.1039/D3QO00418J
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.cc2ddpbv
title: CCDC 2216727: Experimental Crystal Structure Determination

description: Related Article: Chaoyang Song, Tingwei Shen, Lingzhu Chen, Tingting Li|2023|Org.Chem.Front.|10|3792|doi:10.1039/D3QO00395G
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.