cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6390874
title: Real-Time Sensor Network of Detroit Green Infrastructure: Datasets and Code

description: <strong>MonitoredRainGardens_PaperTable.xlsx: </strong>Excel spreadsheet where the "Garden" sheet contains the 14 monitored green infrastructure (GI) sites with their design and physiographic features and the "Field Log" sheet contains the installation and field maintenance trips. <strong>WaterWells.xlsx: </strong>an Excel file containing all of the water wells in the Detroit region uses for interpolating groundwater levels. <strong>GI_GIS_Analysis.aparx:</strong> ArcGIS Pro project file which includes the 14 monitored GI sites and the GIS data for Detroit (percent imperviousness, elevation, slope, land use type, wells, interpolated groundwater levels, hydrologic soil group). <strong>Code.zip: </strong>Zip folder containing another folder titled "Code" which holds: (1) a folder titled "SensorData" containing 16 csv files with the raw pressure transducer data for the 16 monitored GI sites during the measurement period (including the two excluded sites); (2) a csv file titled "MonitoredRainGardens.csv" containing the 14 monitored green infrastructure (GI) sites with their design and physiographic features used in the correlation analysis; (3) a csv file titled "storm_constants.csv" which contain the computed decay constants for every storm in every GI during the measurement period; (4) a csv file titled "GLWA_RainGaugesforStudy.csv" that contains rainfall from 9 rain gauges during the measurement period; (5) a Jupyter notebook titled "storm_constants_analysis.ipynb" which provides the code for calculating the decay constants for the monitored GI; (6) a Jupyter notebook titled "storm_constants.ipynb" which provides the code for analyzing the decay constants including the correlation analysis and surface plots; and (7) a Jupiter notebook titled "modeled_response.ipynb" which provides the code for plotting the drawdown curves based on the decay constant.
DOI: 10.5281/zenodo.8342633
title: Real-Time Sensor Network of Detroit Green Infrastructure: Datasets and Code

description: <strong>MonitoredRainGardens_PaperTable.xlsx: </strong>Excel spreadsheet where the "Garden" sheet contains the 14 monitored green infrastructure (GI) sites with their design and physiographic features and the "Field Log" sheet contains the installation and field maintenance trips. <strong>WaterWells.xlsx: </strong>an Excel file containing all of the water wells in the Detroit region uses for interpolating groundwater levels. <strong>GI_GIS_Analysis.aparx:</strong> ArcGIS Pro project file which includes the 14 monitored GI sites and the GIS data for Detroit (percent imperviousness, elevation, slope, land use type, wells, interpolated groundwater levels, hydrologic soil group). <strong>Code.zip: </strong>Zip folder containing another folder titled "Code" which holds: (1) a folder titled "SensorData" containing 16 csv files with the raw pressure transducer data for the 16 monitored GI sites during the measurement period (including the two excluded sites); (2) a csv file titled "MonitoredRainGardens.csv" containing the 14 monitored green infrastructure (GI) sites with their design and physiographic features used in the correlation analysis; (3) a csv file titled "storm_constants.csv" which contain the computed decay constants for every storm in every GI during the measurement period; (4) a csv file titled "GLWA_RainGaugesforStudy.csv" that contains rainfall from 9 rain gauges during the measurement period; (5) a Jupyter notebook titled "storm_constants_analysis.ipynb" which provides the code for calculating the decay constants for the monitored GI; (6) a Jupyter notebook titled "storm_constants.ipynb" which provides the code for analyzing the decay constants including the correlation analysis and surface plots; and (7) a Jupiter notebook titled "modeled_response.ipynb" which provides the code for plotting the drawdown curves based on the decay constant.
DOI: 10.14457/nida.the.2013.50
title: ทฤษฎีพื้นฐานและสถานภาพการสื่อสารความรับผิดชอบต่อสังคมในวิทยานิพนธ์และสารนิพนธ์ของประเทศไทย (2541-2555)
DOI: 10.5281/zenodo.7041718
title: Data and code to accompany 'One hundred years of daily sea surface temperature from the Hopkins Marine Station in Pacific Grove, California: A review of the history, acquisition, and significance of the record'

description: Data and analysis code to accompany the manuscript 'One hundred years of daily sea surface temperature from the Hopkins Marine Station in Pacific Grove, California: A review of the history, acquisition, and significance of the record', published in <em>Oceanography and Marine Biology: An Annual Review </em>(https://doi.org/10.1201/9781003363873-2). Data files include records of sea surface temperature (SST) collected in Pacific Grove, California, USA from January 20, 1919 to the end of 2020. The analysis code produces a continuous 100+ year record with adjustments made for time of day the data were collected, and filling gaps in the data set where necessary. This dataset makes use of an earlier 83-year version of the sea surface temperatures produced by Breaker et al. 2005 available at https://aquadocs.org/handle/1834/20890, with the data file available at https://purl.stanford.edu/rc833pc4972
DOI: 10.5281/zenodo.7041717
title: Data and code to accompany 'One hundred years of daily sea surface temperature from the Hopkins Marine Station in Pacific Grove, California: A review of the history, acquisition, and significance of the record'

description: Data and analysis code to accompany the manuscript 'One hundred years of daily sea surface temperature from the Hopkins Marine Station in Pacific Grove, California: A review of the history, acquisition, and significance of the record', published in <em>Oceanography and Marine Biology: An Annual Review </em>(https://doi.org/10.1201/9781003363873-2). Data files include records of sea surface temperature (SST) collected in Pacific Grove, California, USA from January 20, 1919 to the end of 2020. The analysis code produces a continuous 100+ year record with adjustments made for time of day the data were collected, and filling gaps in the data set where necessary. This dataset makes use of an earlier 83-year version of the sea surface temperatures produced by Breaker et al. 2005 available at https://aquadocs.org/handle/1834/20890, with the data file available at https://purl.stanford.edu/rc833pc4972
DOI: 10.15468/bucfk3
title: Fish. Thematic Report No. 14: Fishes Checklist

description: Fish species found in the Wadden Sea since 1960 ( * Fresh water species). Surveys in which the species were encountered: a. DYFS, b. DFS, c. Stow net Schleswig-Holstein, d. Stow net Lower-Saxony, e. Stow net Elbe, f. Witte & Zijlstra (1978), g. Atlas Schleswig-Holstein, h. Red List Germany (Fricke et al., 1994).
DOI: 10.15784/601733
title: Direct observations of melting, freezing, and ocean circulation in an ice shelf basal crevasse

description: Contained in this folder are the raw and processed data files for data collected with the underwater robot Icefin in the ocean cavity beneath Ross Ice Shelf, near the grounding line of Kamb Ice Stream. Most of these data are located within a basal crevasse. They were collected in December 2019 as part of the Aotearoa New Zealand Antarctic Science Platform and Victoria University of Wellington Hot Water Drilling initiative, and the NASA RISEUP grant (NNX16AL07G, PI B. E. Schmidt). The code that converted raw data files to processed can be found at https://zenodo.org/record/8338529. Direct questions to Peter Washam at pwasham@cornell.edu.
DOI: 10.6084/m9.figshare.23513478.v2
title: <strong>An Australian Alien Flora Standardised System (AAFSS) to facilitate management and decision making on biological invasions and biosecurity</strong>

description: Biological invasions are a major threat to Australia. Information on alien flora in Australia is contributed independently from different jurisdictions, which has led to inconsistencies at the national level, hampering efficient management. To harmonise different information sources, we introduce an Australian Alien Flora Standardised System (AAFSS). The AAFSS includes an R script that compares existing data sources (the Australian Plant Census and state and territory censuses), identifies mismatches among them and, following a detailed prioritisation method, combines the information into a standardised system at the national scale. The derived product is a national system for tracking alien flora in Australia that can aid early warning and prevention of introduced species, facilitate decision-making at national and other jurisdictional levels, and biosecurity at national scale. The system is freely available, easy to use, and ready to be implemented with updated versions of any of the datasets, saving future efforts by keeping track of alien flora across Australia. Individuals who use these data for publication may cite the data paper associated with it: <strong>An Australian Alien Flora Standardised System (AAFSS) to facilitate management and decision making on biological invasions and biosecurity</strong> Martín-Forés, I., Guerin, G.R., Lewis, D., Gallagher, R.V., Vilà, M., Catford, J.A., Pauchard, A. & Sparrow, B.
DOI: 10.15468/72tpzd
title: Fish survey of South Passage Shark Bay, Western Australia: Fishes Checklist

description: In April 1979, 323 species of fish were recorded from the South Passage area of Shark Bay. The majority of these are tropical species (83%), with smaller numbers of warm temperate (11%) and cool temperate (6%) species. Many of the tropical species, however, were found to be present in only low numbers, while some warm temperate and one cool temperate species were abundant. The fishes of South Passage, therefore, are considered to belong to an impoverished tropical fauna. Furthermore, South Passage is the southernmost mainland area of Western Australia which supports a predominantly tropical fish fauna. Its fauna is even more diverse than that of the Houtman Abrolhos, a very much larger area of offshore islands and coral reefs located to the south off Geraldton.
DOI: 10.58109/y6nv-ef03
title: A phase II study of efficacy and safety of Pegasys in patients with Chronic Phase Chronic Myeloid Leukaemia in PCR+ve complete or near complete cytogenetic remission on Glivec at 600 mg daily or maximum tolerated dose (CML07)

description: HeSANDA 1.0.0
description: Dataset includes 
data for 21 patients with newly diagnosed CML Combination of Pegasys and Glivec treatment
demographic data
diagnostic data
treatment data
outcome data
DOI: 10.15468/8k9hpr
title: Tubbataha Reefs Natural Park: the first comprehensive elasmobranch assessment reveals global hotspot for reef sharks: Fishes Checklist

description: A total of 113 BRUV surveys were completed throughout 2015 and 2016. The BRUV surveys documented a CMaxN of 237 elasmobranchs from 14 species and one unidentified Carcharhinid. The overall CPUE from both years was 2.09 (Table 1), with at least one elasmobranch encounter occurring in 92.03% (n = 104) of surveys. Carcharhinus amblyrhynchos, the most abundant species, with a CMaxN of 103, occurred in 54.87% of surveys, recording an overall CPUE of 0.91 (x = 0.91 +- 1.64 SD). Triaenodon obesus were also abundant, with a CMaxN of 98, and were present in 71.68% of surveys with an overall CPUE of 0.87 (x = 0.87 +- 0.84 SD). Other shark species observed during two years of sampling were, in order of decreasing CMaxN, tiger shark Galeocerdo cuvier (CMaxN = 8), blacktip reef shark Carcharhinus melanopterus (8), scalloped hammerhead shark Sphyrna lewini (7), tawny nurse shark Nebrius ferrugineus (2), thresher shark Alopias sp. (2), silky shark Carcharhinus falciformis (1), silvertip shark Carcharhinus albimarginatus (1), and whale shark Rhincodon typus (1). Batoid species observed were spotted eagle ray Aetobatus spp. (2), round ribbontail ray Taeinurops meyeni (1), bluespotted ribbontail ray Taeniura lymma (1), and a manta ray Mobula sp. (1). There was no significant difference between years in CPUE of C. amblyrhynchos in shallow habitats (PERMANOVA, p = 0.297, Pseudo-F = 1.139) and deep habitats (p = 0.48, Pseudo-F = 0.607). Similarly, no significant difference in the abundance of T. obesus; abundance was evident between years in shallow (p = 0.19, Pseudo-F = 2.122) and deep habitats (p = 0.171, Pesudo-F 2.28).
DOI: 10.26180/24082686.v1
title: Myeloma and Related Diseases Registry

description: This observational study is collecting information from patients to form the Myeloma and Related Diseases Registry (MRDR)<br><br>Who is it for?<br>You may be eligible for this study if you have a diagnosis of multiple myeloma, plasmacytoma, plasma cell leukaemia or monoclonal gammopathy of undetermined significance (MGUS).<br><br>Study details<br>Medical information including diagnostic tests, therapy and demographics will be provided by medical records. Participants can also provide information regarding their quality of life using a questionnaire.<br><br>It is hoped this registry will enable clinicians and hospitals to provide the best possible care to people with the included conditions and allow the evaluations of new therapies.
DOI: 10.5281/zenodo.8339163
title: Replication Package - From Research to Practice: A Survey of XAI Process Frameworks

description: Replication package for the ICSE NIER Submission "From Research to Practice: A Survey of XAI Process Frameworks." Provides details about the methods and data used in our analysis. For more information, please take a look at the README.
description: {"references": ["Garrick Cabour, Andr\u00e9s Morales, \u00c9lise Ledoux, and Samuel Bassetto. 2021. Towards an Explanation Space to Align Humans and Explainable-AI Teamwork. https://doi.org/10.48550/arXiv.2106.01503 arXiv:2106.01503 [cs].", "Haomin Chen, Catalina Gomez, Chien-Ming Huang, and Mathias Unberath. 2022. Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review. https://doi.org/10.48550/arXiv.2112.12596 arXiv:2112.12596 [cs, eess].", "Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, and Marija Bezbradica. 2020. Scenario-Based Requirements Elicitation for User-Centric Explainable AI. In Machine Learning and Knowledge Extraction, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, and Edgar Weippl (Eds.). Springer International Publishing, Cham, 321\u2013341.", "Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, and Hal Daume III. 2022. Seamful XAI: Operationalizing Seamful Design in Explainable AI. https://doi.org/10.48550/arXiv.2211.06753 arXiv:2211.06753 [cs].", "Malin Eiband, Hanna Schneider, Mark Bilandzic, Julian Fazekas-Con, Mareike Haug, and Heinrich Hussmann. 2018. Bringing Transparency Design into Practice. In 23rd International Conference on Intelligent User Interfaces (IUI'18). Association for Computing Machinery, New York, NY, USA, 211\u2013223. https://doi.org/10.1145/3172944.3172961", "Umm-e Habiba, Justus Bogner, and Stefan Wagner. 2022. Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements. https://doi.org/10.48550/arXiv.2206. 01507 arXiv:2206.01507 [cs]", "Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, and Ghassan Hamarneh. 2022. EUCA: the End-User-Centered Explainable AI Framework. https://doi.org/10.48550/arXiv.2102.02437 arXiv:2102.02437 [cs]", "Q. Vera Liao, Milena Pribi\u0107, Jaesik Han, Sarah Miller, and Daby Sow. 2021. Question-Driven Design Process for Explainable AI User Experiences. https://doi.org/10.48550/arXiv.2104.03483 arXiv:2104.03483 [cs]", "Sina Mohseni, Niloofar Zarei, and Eric D. Ragan. 2020. A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems. https://doi.org/10.48550/arXiv.1811.11839 arXiv:1811.11839 [cs]", "Gesina Schwalbe and Bettina Finzel. 2023. A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts. Data Mining and Knowledge Discovery (Jan. 2023). https://doi.org/10.1007/s10618-022-00867-8 arXiv:2105.07190 [cs]"]}
DOI: 10.5281/zenodo.8339162
title: Replication Package - From Research to Practice: A Survey of XAI Process Frameworks

description: Replication package for the ICSE NIER Submission "From Research to Practice: A Survey of XAI Process Frameworks." Provides details about the methods and data used in our analysis. For more information, please take a look at the README.
description: {"references": ["Garrick Cabour, Andr\u00e9s Morales, \u00c9lise Ledoux, and Samuel Bassetto. 2021. Towards an Explanation Space to Align Humans and Explainable-AI Teamwork. https://doi.org/10.48550/arXiv.2106.01503 arXiv:2106.01503 [cs].", "Haomin Chen, Catalina Gomez, Chien-Ming Huang, and Mathias Unberath. 2022. Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review. https://doi.org/10.48550/arXiv.2112.12596 arXiv:2112.12596 [cs, eess].", "Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, and Marija Bezbradica. 2020. Scenario-Based Requirements Elicitation for User-Centric Explainable AI. In Machine Learning and Knowledge Extraction, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, and Edgar Weippl (Eds.). Springer International Publishing, Cham, 321\u2013341.", "Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, and Hal Daume III. 2022. Seamful XAI: Operationalizing Seamful Design in Explainable AI. https://doi.org/10.48550/arXiv.2211.06753 arXiv:2211.06753 [cs].", "Malin Eiband, Hanna Schneider, Mark Bilandzic, Julian Fazekas-Con, Mareike Haug, and Heinrich Hussmann. 2018. Bringing Transparency Design into Practice. In 23rd International Conference on Intelligent User Interfaces (IUI'18). Association for Computing Machinery, New York, NY, USA, 211\u2013223. https://doi.org/10.1145/3172944.3172961", "Umm-e Habiba, Justus Bogner, and Stefan Wagner. 2022. Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements. https://doi.org/10.48550/arXiv.2206. 01507 arXiv:2206.01507 [cs]", "Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, and Ghassan Hamarneh. 2022. EUCA: the End-User-Centered Explainable AI Framework. https://doi.org/10.48550/arXiv.2102.02437 arXiv:2102.02437 [cs]", "Q. Vera Liao, Milena Pribi\u0107, Jaesik Han, Sarah Miller, and Daby Sow. 2021. Question-Driven Design Process for Explainable AI User Experiences. https://doi.org/10.48550/arXiv.2104.03483 arXiv:2104.03483 [cs]", "Sina Mohseni, Niloofar Zarei, and Eric D. Ragan. 2020. A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems. https://doi.org/10.48550/arXiv.1811.11839 arXiv:1811.11839 [cs]", "Gesina Schwalbe and Bettina Finzel. 2023. A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts. Data Mining and Knowledge Discovery (Jan. 2023). https://doi.org/10.1007/s10618-022-00867-8 arXiv:2105.07190 [cs]"]}
DOI: 10.15468/4v688a
title: Fish communities of subtropical seagrass meadows and associated habitats in Shark Bay, Western Australia: Fishes Checklist

description: Seagrass habitats support some of the most productive marine communities and provide critical habitat for many fish species. Previous studies have shown that fish communities of seagrass meadows are usually more diverse than those of adjacent habitats. However, most studies have been conducted in very shallow waters and generally have used seining methods to collect fish, which tend to select for slower species as well as small species and size classes. Antillean–Z style fish traps were used to study the fish communities of seagrass and associated habitats in both deep and shallow waters of Shark Bay, Western Australia. While more individuals were caught per trap in vegetated than in unvegetated habitats, the number of species and biomass was influenced by an interaction of depth and seagrass cover. The structure of fish communities was influenced by an interaction among season, seagrass cover, and depth. Unlike previous studies, a small number of species dominated fish trap catches, most notably, striped trumpeters, Pelates sexlineatus Quoy and Gaimard, 1925 and western butterfish, Pentapodus vitta Quoy and Gaimard, 1824. The factors that influenced the abundance of common species, including season, depth, and seagrass cover, often interacted and varied among species. This study suggests that future research on fish communities of seagrass ecosystems would benefit from using several sampling techniques and considering multiple environmental factors simultaneously.
DOI: 10.6084/m9.figshare.23513478.v3
title: <b>The Alien Flora of Australia (AFA), a unified Australian national dataset on plant invasion</b>

description: <br>Biological invasions are a major threat to Australia. Information on alien flora in Australia is collated independently by different jurisdictions, which has led to inconsistencies at the national level, hampering efficient management. To harmonise different information sources, we present the Alien Flora of Australia (AFA), a nationally unified dataset. To create the AFA, we developed an R script that compares existing data sources (the Australian Plant Census and state and territory censuses), identifies mismatches among them and integrates the information into unified invasion statuses at the national scale. The AFA follows the taxonomy and nomenclature adopted for the Australian Plant Census, introduction status and impact of plants known to occur in Australia. The up-to-date information presented in this dataset can aid early warning of alien species invasions, facilitate decision-making at different levels, and biosecurity at national scale. The associated script is ready to be implemented into new versions of the AFA with updated releases of any of the data sources, streamlining future efforts to track of alien flora across Australia. Individuals who use these data for publication may cite the data paper associated with it:<br><b>Towards integrating and standardising information on plant invasions across Australia</b>Martín-Forés, I., Guerin, G.R., Lewis, D., Gallagher, R.V., Vilà, M., Catford, J.A., Pauchard, A. & Sparrow, B.
DOI: 10.58109/0xqy-d239
title: A phase II study to determine relapse-free interval after withdrawal of imatinib therapy in adult patients with chronic phase chronic myeloid leukaemia in stable complete molecular remission (CML08)

description: HeSANDA 1.0.0
description: Dataset includes 
Data for 40 patients with newly diagnosed CML Trial followed CML patients, post TKI therapy, in complete remission. Patients were monitored for disease relapse post initial treatment. 
Demographic data 
Diagnostic data 
Treatment data
Outcome data
DOI: 10.5281/zenodo.8342744
title: PARAGON 1 - KM2112 - Hyperpro Profiles

description: These Simons Collaboration on Ocean Processes and Ecology (SCOPE) data products were produced by the University of Hawaiʻi at Mānoa with support from the Simons Foundation. This dataset was collected on the R/V Kilo Moana, which departed and returned to Honolulu, HI, with most of the cruise spent following an anticyclonic eddy northeast of the Hawaiian islands. The Satlantic (now Seabird) HyperPro is an in-situ free-fall profiling unit designed to measure the apparent optical properties of the ocean with concurrent measurements of temperature, salinity, chlorophyll and dissolved matter fluorescence. The unit is equipped with one up-looking and one down-looking hyperspectral (350-800nm) radiometer with 10 ± 0.3 nm resolution, a WET Labs ECO-Puck Triplet, and temperature, pressure, and conductivity sensors. It also incorporates a ship-mounted surface (air) hyperspectral radiometer. These data are collated from the vertical profiles. Note that lat/lon was hand recorded at time of deployment and may not exactly match the ship's cruise log. Time stamp is in UTC.