cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6071/m3n67p
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3809z
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3468d
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m30h3c
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3bt26
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3zh4f
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5281/zenodo.10126056
title: Dades del web scraping d'Airbnb

description: Dades referents al web Scraping del web Airbnb.Les dades contenen el titol de l'anunci del lloguer, la informació referent al lloguer, el preu per nit, el preu mínim a pagar (5 nits) i la puntuació que els clients li han donat a l'estambliment
DOI: 10.5281/zenodo.10126057
title: Dades del web scraping d'Airbnb

description: Dades referents al web Scraping del web Airbnb.Les dades contenen el titol de l'anunci del lloguer, la informació referent al lloguer, el preu per nit, el preu mínim a pagar (5 nits) i la puntuació que els clients li han donat a l'estambliment
DOI: 10.6071/m3xm3s
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5281/zenodo.10125189
title: PocketGen datasets
DOI: 10.5281/zenodo.10125190
title: PocketGen datasets
DOI: 10.6071/m34370
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m33382
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m39m36
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3sq3k
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3nx08
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3j67r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m34x10
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m38q3x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3wd55
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6073/pasta/7efb07280934cdd20638173c3d170b7a
title: Bromeliad chemistry at different elevations in the LEF

description: Mean concentrations of various nutrients in dried bromeliad leaf and in the coarse, medium and fine portions of debris retained by the bromeliad rosette. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6071/m33x22
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m37q3m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3bh57
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6071/m3z67g
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0tx3cq9
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0wd3xzh
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0w66j48
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0b27sqt
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j069720w
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j02j6985
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0xs5ssg
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0wm1bxb
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6075/j0bv7f5f
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1qp4v
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1rg6v
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1v88g
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1rc76
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1c30c
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1kk5z
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d15c7x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1q59k
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1kg69
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1p88x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d11g6b
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1ds3q
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1n88m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1488z
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d10k5p
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1gk51
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1zk5c
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d12c70
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1xk52
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1jc7b
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1dk5d
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d18w24
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d13590
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6076/d1zc72
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5066/p9yovavv
title: Database of post-wildfire floods and debris flows

description: This database contains information on peak flows (floods, hyperconcentrated flows, and debris flows) after wildfire. Data were collected from the scientific literature and the U.S. Geological Survey National Water Information System. These data provide a foundation to assess the upper limits of post-wildfire floods that imperil human lives, infrastructure, and water supplies. Literature citations for studies that the data were sourced from are contained in the file "bibliographyv2.rtf".
DOI: 10.6078/d1bm2b
title: Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Native pixels, daily profiles

description: The BEHR reprocesses tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) satellite using high resolution a priori NO2 profiles, surface reflectivity, and surface elevation data. This product uses NO2 profiles for the day retrieved, simulated by the WRF-Chem model at 12 km spatial resolution. The use of high spatial resolution NO2 profiles has been shown to better resolve urban/rural differences in NO2 column densities, and the use of day-to-day (rather than monthly average) profiles is especially important in applications that preferentially select observations upwind or downwind of a NOx source. The BEHR OMI NO2 v3.0C product is an experimental branch of BEHR v3.0B (10.6078/D1WH41, 10.6078/D12D5X, 10.6078/D1RQ3G, 10.6078/D1N086). The time range covers May 13-June 23, 2012 and August 1-September 23, 2013.
description: The methods for the BEHR product v3.0C are described in detail in Qindan et al. (in prep).
description: Each month of BEHR data is stored as a .tar.gz file (i.e. a tar archive compressed with gzip). These can be decompressed using 7zip or (on Mac/Linux) the command "tar -xzvf &lt;filename&gt;", e.g. "tar -xzvf OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz" will expand OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz In addition to downloading the full dataset or manually downloading individual files, a Python program is available at https://github.com/CohenBerkeleyLab/BEHRDownloader that can perform bulk downloads of a subset of the files, as well as automatically uncompress the tar files. See the Readme in that repo for further usage information. For details on best practices for using the BEHR data, see the user guide PDF included in this repository.
DOI: 10.6078/d16x1t
title: Berkeley High Resolution (BEHR) OMI NO2 v3.0C - Gridded pixels, daily profiles

description: The BEHR reprocesses tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) satellite using high resolution a priori NO2 profiles, surface reflectivity, and surface elevation data. This product uses NO2 profiles for the day retrieved, simulated by the WRF-Chem model at 12 km spatial resolution. The use of high spatial resolution NO2 profiles has been shown to better resolve urban/rural differences in NO2 column densities, and the use of day-to-day (rather than monthly average) profiles is especially important in applications that preferentially select observations upwind or downwind of a NOx source. The BEHR OMI NO2 v3.0C product is an experimental branch of BEHR v3.0B (10.6078/D1WH41, 10.6078/D12D5X, 10.6078/D1RQ3G, 10.6078/D1N086). The time range covers May 13-June 23, 2012 and August 1-September 23, 2013.
description: The methods for the BEHR product v3.0C are described in detail in Qindan et al. (in prep).
description: Each month of BEHR data is stored as a .tar.gz file (i.e. a tar archive compressed with gzip). These can be decompressed using 7zip or (on Mac/Linux) the command "tar -xzvf &lt;filename&gt;", e.g. "tar -xzvf OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz" will expand OMI_BEHR-DAILY_US_v3-0A_200501.tar.gz In addition to downloading the full dataset or manually downloading individual files, a Python program is available at https://github.com/CohenBerkeleyLab/BEHRDownloader that can perform bulk downloads of a subset of the files, as well as automatically uncompress the tar files. See the Readme in that repo for further usage information. For details on best practices for using the BEHR data, see the user guide PDF included in this repository.
DOI: 10.6078/d1w98g
title: Regional Planning Fingerprint - Coastal California

description: Human actions are accelerating the pace of climate change placing significant stress on ecosystems (Stein et al., 2013). Institutions charged with protecting those systems and human livelihoods are also under increasing pressure to address future threats (Folke et al., 2004; Ostrom, 2009). City and county governments across the United States are developing plans to address these threats (Bierbaum et al., 2013; Woodruff & Stults, 2016). However there is currently no strategic approach to evaluate this work (Gupta et al., 2010). This data is the application of a flexible multi-criterion framework called the "Regional Planning Fingerprint." This assessment tool is used for evaluating the current status and potential future success of a region’s ability to proactively address long-term threats such as sea level rise.
description: From April 2017 to May 2018 I used several methods to gather information and create regional summary reports called “Regional Sea Level Rise Snapshots” for the Climate Readiness Institute (CRI). First, I, in consultation with Dr. Kristina Hill, Bruce Riordon, and other stakeholders, developed a standardized set of questions to gather key information. These questions are provided in the Methods Appendix and online as described below. Then, using web searches, I generated initial answers to these questions. In October and November of 2017, as part of the CRI team, I held in-person group meetings with key sea level rise stakeholders in each region to further complete the set of questions. The stakeholders worked for city or county governments, relevant state or federal agencies, and for connected non-profits. A full list of involved stakeholders is available in the Methods Appendix. I used some in-person follow-ups with individuals to finalize answers for each region. The final reports, called “Regional Sea Level Rise Snapshots,” were reviewed and approved by Dr. Kristina Hill and Bruce Riordon. I used specific locally adopted plans and vulnerability assessments to supplement the survey information, when the responses lacked sufficient detail for evaluation. This allowed me to verify information provided by local stakeholders and translate their responses into final scores. The locally adopted plans and vulnerability assessments I assessed include all Local Coastal Programs Updated for Sea Level Rise according to the California Coastal Commission, General Plans with Safety Elements Updated for Sea Level Rise, all local Hazard Mitigation Plans Updated to Include Sea Level Rise according to the California Governor’s Office of Emergency Services, and Comprehensive City or County Vulnerability Assessments. Input from all of these plans and assessments was vital to inform the adopted actions category (1) and the planning processes category (4)
DOI: 10.6078/d17x0r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1k678
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1339n
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1w40q
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d19384
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1r70h
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1md68
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d13d6m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1tx1d
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1dq20
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1q698
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1h681
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1sd76
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1r97v
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d16988
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6073/pasta/81ccac74e08cebb419e95f5903948806
title: Short-term disappearance of foliar litter of three tree species native to rain forest of Puerto Rico

description: Litter disappearance was examined before (1989) and after (1990) Hurricane Hugo in the Luquillo Experimental Forest, Puerto Rico using mesh litterbags containing abscised Cyrilla racemiflora or Dacryodes excelsa leaves or fresh Prestoea montana leaves. Biomass and nitrogen dynamics were compared among: i) species; ii) mid- and high-elevation forest types; iii) riparian and upland sites; and iv) among pre- and post-hurricane disturbed environments. Biomass disappearance was compared using multiple regression and negative exponential models in which the slopes were estimates of the decomposition rates subsequent to apparent leaching losses and the y-intercepts were indices of initial mass losses (leaching). C. racemiflora leaves with low nitrogen (0.39 %) and high lignin (22.1 %) content decayed at a low rate and immobilized available nitrogen. D. excelsa leaves had moderate nitrogen (0.67 %) and lignin (16.6 %) content, decayed at moderate rates, and maintained the initial nitrogen mass. P. montana foliage had high nitrogen (1.76 %) and moderate lignin (16.7 %) content and rapidly lost both mass and nitrogen. There were not significant differences in litter disappearance and nitrogen dynamics among forest types and slope positions. Initial mass loss of C. racemiflora leaves was lower in 1990 but the subsequent decomposition rate did not change. Initial mass losses and the overall decomposition rates were lower in 1990 than in 1989 for D. excelsa. D. excelsa and C. racemiflora litter immobilized nitrogen in 1990 but released 10-15% of their initial N in 1989, whereas P. montana released nitrogen in both years (25-40 %). Observed differences in litter disappearance rates between years may have been due to differences in the timing of precipitation. Foliar litter inputs during post-hurricane recovery of vegetation in Puerto Rico may serve to immobilize and conserve site nitrogen. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6078/d1r39j
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5281/zenodo.10126206
title: Data associated to the manuscript "Enhanced diffusion of tracer particles in nonreciprocal mixtures"

description: Contains an example of LAMMPS input file and data used to generate the figures of the article:
Enhanced diffusion of tracer particles in nonreciprocal mixtures
Anthony Benois, Marie Jardat, Vincent Dahirel, Vincent Démery, Jaime Agudo-Canalejo, Ramin Golestanian, and Pierre Illien
https://arxiv.org/abs/2307.05408
Article published in Physical Review E (2023).
DOI: 10.6078/d1md7n
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5281/zenodo.10126205
title: Data associated to the manuscript "Enhanced diffusion of tracer particles in nonreciprocal mixtures"

description: Contains an example of LAMMPS input file and data used to generate the figures of the article:
Enhanced diffusion of tracer particles in nonreciprocal mixtures
Anthony Benois, Marie Jardat, Vincent Dahirel, Vincent Démery, Jaime Agudo-Canalejo, Ramin Golestanian, and Pierre Illien
https://arxiv.org/abs/2307.05408
Article published in Physical Review E (2023).
DOI: 10.6078/d18x1f
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1vq4s
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1d41r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1gq5r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1r11t
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1gh62
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1x995
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1c996
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1h422
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d17m6x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1z423
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d14q48
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1zx3d
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.5281/zenodo.10126570
title: Test for Spondylus of the Americas Database- CSV

description: The is a test of the storage of data collected using KoboToolbox form - https://ee.kobotoolbox.org/x/Mig5zlqC
DOI: 10.5281/zenodo.10126571
title: Test for Spondylus of the Americas Database- CSV

description: The is a test of the storage of data collected using KoboToolbox form - https://ee.kobotoolbox.org/x/Mig5zlqC
DOI: 10.6078/d1s716
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d10t42
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1b40r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1kd93
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1571m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d18x2t
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d14719
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d12981
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d18t5x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6073/pasta/055f35643ceb2138f4cd4b5f1940102c
title: Short-term disappearance of foliar litter of three tree species native to rain forest of Puerto Rico

description: Litter disappearance was examined before (1989) and after (1990) Hurricane Hugo in the Luquillo Experimental Forest, Puerto Rico using mesh litterbags containing abscised Cyrilla racemiflora or Dacryodes excelsa leaves or fresh Prestoea montana leaves. Biomass and nitrogen dynamics were compared among: i) species; ii) mid- and high-elevation forest types; iii) riparian and upland sites; and iv) among pre- and post-hurricane disturbed environments. Biomass disappearance was compared using multiple regression and negative exponential models in which the slopes were estimates of the decomposition rates subsequent to apparent leaching losses and the y-intercepts were indices of initial mass losses (leaching). C. racemiflora leaves with low nitrogen (0.39 %) and high lignin (22.1 %) content decayed at a low rate and immobilized available nitrogen. D. excelsa leaves had moderate nitrogen (0.67 %) and lignin (16.6 %) content, decayed at moderate rates, and maintained the initial nitrogen mass. P. montana foliage had high nitrogen (1.76 %) and moderate lignin (16.7 %) content and rapidly lost both mass and nitrogen. There were not significant differences in litter disappearance and nitrogen dynamics among forest types and slope positions. Initial mass loss of C. racemiflora leaves was lower in 1990 but the subsequent decomposition rate did not change. Initial mass losses and the overall decomposition rates were lower in 1990 than in 1989 for D. excelsa. D. excelsa and C. racemiflora litter immobilized nitrogen in 1990 but released 10-15% of their initial N in 1989, whereas P. montana released nitrogen in both years (25-40 %). Observed differences in litter disappearance rates between years may have been due to differences in the timing of precipitation. Foliar litter inputs during post-hurricane recovery of vegetation in Puerto Rico may serve to immobilize and conserve site nitrogen. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6078/d1rt4w
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d16t4x
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d12421
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1kx4c
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1pq7c
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d17h91
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1kt5q
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1ph8p
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d11t5r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d14m8r
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1xx4g
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1pf0z
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1971v
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d10q6s
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1gq64
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d13h71
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1772m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1v14w
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1b147
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1p718
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1nb0m
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.6078/d1ct67
title: Dryad dataset awaiting publication

description: :unas