cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6078/d16h7z
title: California statewide wildfire burn regime projections (2020-2100)

description: At the intersection of climate change and rural development, wildfire has
 emerged as a threat to agriculture in the western United States. This
 nexus is particularly problematic for the rapidly developing cannabis
 industry in California, which includes farms located outside of
 traditional agricultural zones and within landscapes potentially more
 prone to wildfire. With the goal of determining whether cannabis is
 uniquely vulnerable to direct wildfire impacts (in terms of crop loss to
 burning), we integrated fire hazard severity zone data, wildfire
 perimeters, and future burn regime projections in relation to the location
 and cultivated area of cannabis farming. We then applied descriptive
 statistics and generalized additive models (GAM) to compare the location
 of licensed cannabis farms to other agricultural types in California,
 including grapes, pasture, and all other general crops combined. We found
 cannabis farming was located more often in high and very high fire hazard
 severity zones and closer to wildfire perimeters than any other
 agricultural type. GAM estimates of likelihood of occurrence in high and
 very high severity zones were highest for cannabis, even after accounting
 for spatial clustering of farm types, although there was no reliable
 difference in predicted distances to wildfire. Cannabis more often
 occurred in projected (from 2020-2100) wildfire hotspots than all other
 agricultural types, with GAM estimates affirming a reliably higher
 likelihood of cannabis in future hotspots than pasture or general crops.
 Our findings highlight cannabis’ particular vulnerability to wildfire in
 California, and may in fact underestimate wildfire risks given the
 potential indirect impacts of smoke to crops and farmworkers, which were
 not evaluated in this study. In light of the sector’s growing economic
 importance in the state, these vulnerabilities should be considered in
 future cannabis and rural development policies.
description: This dataset was generated by: Moanga, D.,
 Biging, G., Radke, J. and Butsic, V., 2020. The space–time cube as an
 approach to quantifying future wildfires in
 California. <em>International journal of wildland
 fire</em>, <em>30</em>(2), pp.139-153.
description: QGIS, R
DOI: 10.22008/promice/data/ice_discharge/d/v02/elszf2
title: gate_coverage.csv

description: Gate coverage. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/vupyru
title: README.txt

description: README. Git hash: 9415960
DOI: 10.22008/promice/data/ice_discharge/d/v02/71w2j7
title: gate_D.csv

description: Gate discharge. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/qbtou7
title: gate_err.csv

description: Gate errors. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/fmwxrw
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: b5d9bb8
DOI: 10.5061/dryad.qv9s4mwhf
title: Data from: Pace and shape of senescence in three species of duckweed

description: Senescence is progressive bodily deterioration associated with declines in
 survival and fecundity in older age classes. There is great diversity in
 patterns of senescence across species, but these patterns can be difficult
 to compare formally due to variation in the absolute time scales in which
 species live and die: members of some species live for a matter of days,
 others for millennia. To address this issue, the ‘pace-shape’ approach was
 developed to decouple absolute time from analyses and instead standardize
 life history traits in terms of average life expectancy, facilitating
 intra- and interspecific comparisons. Here, we use this approach to
 distinguish the generic form of demographic trajectories (shape) from the
 time scale on which the trajectories occurred (pace) in three species of
 tiny, free-floating aquatic plants known as duckweeds (Lemna gibba L., L.
 minor L., and L. turionifera Landolt), which have mean lifespans of less
 than a month under typical lab conditions, and exhibit age-related
 declines in survivorship and reproduction. Using a randomized block design
 in which we tracked a final total of 430 individuals, we report
 differences in pace and shape among the three species. Specifically, the
 largest, least-fecund, and typically longest-lived species, L. gibba,
 tended to exhibit more rapid decreases in time-standardized survivorship
 and fecundity compared to the other two species. This study emphasizes
 variation in aging patterns that can be found among plant species,
 including those in the same genus, and provides further validation for the
 utility of applying the pace and shape approach in interspecific
 comparisons.
description: Requires R
DOI: 10.22008/promice/data/ice_discharge/d/v02/34d9mv
title: GIS_coverage.csv

description: Greenland coverage. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/hyhuai
title: GIS_D.csv

description: Greenland discharge. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/ug0xn6
title: GIS_err.csv

description: Greenland error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/2liwvo
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/ceiphc
title: region_coverage.csv

description: Regional coverage. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/npib2d
title: region_err.csv

description: Regional error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/r5xhmd
title: region_D.csv

description: Regional discharge. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/e1fyz4
title: region.nc

description: Regional discharge, coverage, and error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/nqwlxc
title: sector_coverage.csv

description: Sector coverage. Git hash: b5d9bb8
DOI: 10.5061/dryad.xksn02vjc
title: Comprehensive taxon sampling and vetted fossils help clarify the time tree of shorebirds (Aves, Charadriiformes)

description: Shorebirds (Charadriiformes) are a globally distributed clade of modern
 birds and, due to their ecological and morphological disparity, a frequent
 subject of comparative studies. While molecular phylogenies have been key
 to establishing the suprafamilial backbone of the charadriiform tree, a
 number of relationships at both deep and shallow taxonomic levels remain
 poorly resolved. The timescale of shorebird evolution also remains
 uncertain as a result of extensive disagreements among the published
 divergence dating studies, stemming largely from different choices of
 fossil calibrations. Here, we present the most comprehensive non-supertree
 phylogeny of shorebirds to date, based on a total-evidence dataset
 comprising 353 ingroup taxa (90% of all extant or recently extinct
 species), 27 loci (15 mitochondrial and 12 nuclear), and 69 morphological
 characters. We further clarify the timeline of charadriiform evolution by
 time-scaling this phylogeny using a set of 14 up-to-date and thoroughly
 vetted fossil calibrations. In addition, we assemble a taxonomically
 restricted 100-locus dataset specifically designed to resolve outstanding
 problems in higher-level charadriiform phylogeny. In terms of tree
 topology, our results are largely congruent with previous studies but
 indicate that some of the conflicts among earlier analyses reflect a
 genuine signal of pervasive gene tree discordance. Monophyly of the
 plovers (Charadriidae), the position of the ibisbill (Ibidorhyncha), and
 the relationships among the five subfamilies of the gulls (Laridae) could
 not be resolved even with greatly increased locus and taxon sampling.
 Moreover, several localized regions of uncertainty persist in shallower
 parts of the tree, including the interrelationships of the true auks
 (Alcinae) and anarhynchine plovers. Our node-dating and macroevolutionary
 rate analyses find support for a Paleocene origin of crown-group
 shorebirds, as well as exceptionally rapid recent radiations of Old World
 oystercatchers (Haematopodidae) and select genera of gulls. Our study
 underscores the challenges involved in estimating a comprehensively
 sampled and carefully calibrated time tree for a diverse avian clade, and
 highlights areas in need of further research.
DOI: 10.22008/promice/data/ice_discharge/d/v02/o1pul1
title: sector_D.csv

description: Sector discharge. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/7sylov
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/udbw0r
title: sector_err.csv

description: Sector error. Git hash: b5d9bb8
DOI: 10.22008/promice/data/ice_discharge/d/v02/frxpan
title: gate_coverage.csv

description: Gate coverage. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/oy86c8
title: gate_D.csv

description: Gate discharge. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/j6x41a
title: gate_err.csv

description: Gate errors. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/vi9afp
title: gate_meta.csv

description: Gate metadata. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/bqg288
title: GIS_coverage.csv

description: Greenland coverage. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/w0r6jo
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/xos5ds
title: GIS_D.csv

description: Greenland discharge. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/eygefi
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/pfz4je
title: GIS_err.csv

description: Greenland error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/waatax
title: README.txt

description: README. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/z7yb9g
title: region_coverage.csv

description: Regional coverage. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/tkkdeh
title: region_D.csv

description: Regional discharge. Git hash: 69d3d28
DOI: 10.6086/d1zm33
title: [Model outputs] Identifying major hydrologic change drivers in a highly managed transboundary endorheic basin: integrating hydro‐ecological models and time‐series data mining techniques

description: The fragile balance of endorheic lakes in highly managed semi-arid basins
 with transboundary water issues has been altered by the intertwined
 effects of global warming and long-term water mismanagement to support
 agricultural and industrial demand. The alarming rate of global endorheic
 lakes’ depletion in recent decades necessitates formulating mitigation
 strategies for ecosystem restoration. However, detecting and quantifying
 the relative contribution of causal factors (climate variability and
 anthropogenic stressors) is challenging. This study developed a diagnostic
 multivariate framework to identify major hydrologic drivers of lake
 depletion in a highly managed endorheic basin with a complex water
 distribution system. The framework integrates the Soil and Water
 Assessment Tool (SWAT) simulations with time-series decomposition and
 clustering methods to identify the major drivers of change. This
 diagnostic framework was applied to the Salton Sea Transboundary Basin
 (SSTB), the host of the world's most impaired inland lake. The
 results showed signs of depletion across the SSTB since late 1998 with no
 significant changes in climate conditions. The time-series data mining of
 the SSTB water balance components indicated that decreases in lake
 tributary inflows (-16.4 Mm3 yr-2) in response to decline in Colorado
 River inflows, associated with state water transfer agreements, are
 causing the Salton Sea to shrink, not changes in the irrigation operation
 as commonly believed. The developed multivariate detection and attribution
 framework is useful for identifying major drivers of change in coupled
 natural-human systems.
DOI: 10.22008/promice/data/ice_discharge/d/v02/n9liul
title: region.nc

description: Regional discharge, coverage, and error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/qghtoq
title: region_err.csv

description: Regional error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/o41oqf
title: sector_coverage.csv

description: Sector coverage. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/ssboju
title: sector_D.csv

description: Sector discharge. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/vyaujt
title: sector_err.csv

description: Sector error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/msjbdd
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: 69d3d28
DOI: 10.22008/promice/data/ice_discharge/d/v02/vgf4x7
title: gate_meta.csv

description: Gate metadata. Git hash: 9adfba4
DOI: 10.22008/promice/data/ice_discharge/d/v02/czfchl
title: gate_coverage.csv

description: Gate coverage. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/6rrdgy
title: gate_D.csv

description: Gate discharge. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/ngpjas
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/qphnce
title: gate_err.csv

description: Gate errors. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/g8prg5
title: GIS_coverage.csv

description: Greenland coverage. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/i7u13u
title: GIS_D.csv

description: Greenland discharge. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/4skbat
title: GIS_err.csv

description: Greenland error. Git hash: b356a3a
DOI: 10.5061/dryad.z8w9ghxfh
title: Data from: A stochastic generative model for citation networks among academic papers

description: We propose a stochastic generative model to represent a directed graph
 constructed by citations among academic papers, where nodes and directed
 edges represent papers with discrete publication time and citations
 respectively. The proposed model assumes that a citation between two
 papers occurs with a probability based on the type of the citing paper,
 the importance of cited paper, and the difference between their
 publication times, like the existing models. We consider the out-degrees
 of citing paper as its type, because, for example, survey paper cites many
 papers. We approximate the importance of a cited paper by its in-degrees.
 In our model, we adopt three functions: a logistic function for
 illustrating the numbers of papers published in discrete time, an inverse
 Gaussian probability distribution function to express the aging effect
 based on the difference between publication times, and an exponential
 distribution (or a generalized Pareto distribution) for describing the
 out-degree distribution. We consider that our model is a more reasonable
 and appropriate stochastic model than other existing models and can
 perform complete simulations without using original data. In this paper,
 we first use the Web of Science database and see the features used in our
 model. By using the proposed model, we can generate simulated graphs and
 demonstrate that they are similar to the original data concerning the in-
 and out-degree distributions, and node triangle participation. In
 addition, we analyze two other citation networks derived from physics
 papers in the arXiv database and verify the effectiveness of the model.
description: We focus on a subset of the Web of Science (WoS), WoS-Stat, which
 is a citation network that comprises the citations between papers
 published in journals whose subject is associated with “Statistics and
 Probability.” We construct a citation network utilizing a paper identifier
 (ID), publication year, and reference list (list of paper IDs) for 36
 years, from 1981 to 2016. WoS-Stat consists of 179,483 papers and
 1,106,622 citations.
description: WoS-Stat consists of two CSV files, wos-stat_edges.csv and
 wos-stat_nodes.csv, which can be used with a variety of
 software. The following example uses Python NetworkX to
 construct a directed graph G from the CSV files. Each node of G has a
 publication_year corresponding to the year of publication and a uid
 corresponding to the literature ID in the Web of science.
 
 import pandas as pd
 import networkx as nx
 edges = pd.read_csv('wos-stat_edges.csv') nodes = pd.read_csv('wos-stat_nodes.csv', index_col='node_id') G = nx.from_pandas_edgelist(edges, source='from', target='to', create_using=nx.DiGraph) nx.set_node_attributes(G, nodes.to_dict('index'))
DOI: 10.22008/promice/data/ice_discharge/d/v02/xnbpg3
title: README.txt

description: README. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/xoji8a
title: GIS.nc

description: Greenland discharge, coverage, and error. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/ioy5pq
title: region_D.csv

description: Regional discharge. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/rxu56t
title: region_coverage.csv

description: Regional coverage. Git hash: b356a3a
DOI: 10.5061/dryad.5qfttdz85
title: Data for continuous and discrete measurements of carbonate parameters in a productive coastal region in the Northwestern Pacific (36°09'13.5''N, 129°24'04.9''E) from January to September in 2019 and from March to December in 2020

description: Photosynthetic organisms shift the dynamics of surface pCO2 driven by the
 sea surface temperature change (thermodynamic driver) by assimilating C
 from seawater. Here we measured net C uptake in a macroalgal habitat of
 coastal Korea for two years (2019–2020) and found that the macroalgal
 habitat contributed 5.8 g C m-2 month-1 of the net C uptake during the
 growing period (the cooling period, September-May). This massive C uptake
 changed the thermodynamics-driven seasonal dynamics such that the air-sea
 equilibrium of pCO2 was pushed into disequilibrium. The surface pCO2
 dynamics during the cooling period were mostly influenced by the seasonal
 decrease in temperature and the proliferation of macroalgae, while the
 dynamics during the warming period (the stagnant period, June-August)
 closely followed that predicted based solely on the change in sea surface
 temperature only (thermodynamic driver). In contrast to the
 phytoplankton-dominated offshore waters (where phytoplankton populations
 are large in spring and summer), the impact of coastal water macroalgae on
 surface pCO2 dynamics was most pronounced during the cooling period, when
 the magnitude of pCO2 change was as much as twice that resulting from
 temperature change. Our study shows that the distinctive features of the
 macroalgal habitat—in particular the seasonal temperature extremes (~18°C
 difference), the active macroalgal metabolism, and anthropogenic nutrient
 inputs—collectively influenced the seasonal decoupling of seawater and air
 pCO2 dynamics.
description: <strong>Continuous
 measurement</strong> Surface-water pCO<sub>2</sub> was continuously measured from January to
 September in 2019 and from March to December in 2020. The mooring system
 was anchored to the bottom of the macroalgal habitat (10 m depth), and the
 pCO<sub>2</sub> sensor package was submerged approximately 0.5
 m below the surface. Surface-water pCO<sub>2</sub> (or pH), temperature and salinity were
 concurrently measured at 1-h intervals.
 <strong>Discrete
 measurement</strong> Discrete surface samples for seawater C
 parameters (pH, total alkalinity, and total dissolved inorganic carbon)
 and nutrients were measured at 3–4 d intervals.
DOI: 10.22008/promice/data/ice_discharge/d/v02/cj4dpk
title: region_err.csv

description: Regional error. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/7toa9e
title: sector_coverage.csv

description: Sector coverage. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/cxbyic
title: region.nc

description: Regional discharge, coverage, and error. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/tjsbsr
title: sector_err.csv

description: Sector error. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/zc4zjc
title: sector_D.csv

description: Sector discharge. Git hash: b356a3a
DOI: 10.5061/dryad.h9w0vt4mc
title: Data from: Grassland type and seasonal effects have a bigger influence on plant functional and taxonomical diversity than prairie dog disturbances in semi-arid grasslands

description: Prairie dogs (Cynomys sp.) are considered keystone species and ecosystem
 engineers for their grazing and burrowing activities (summarized here as
 disturbances). As climate changes and its variability increases, the
 mechanisms underlying organisms’ interactions with their habitat will
 likely shift. Understanding the mediating role of prairie dog disturbance
 on vegetation structure, and its interaction with environmental conditions
 through time, will increase knowledge on the risks and vulnerability of
 grasslands. Here, we compared how plant taxonomical diversity, functional
 diversity metrics and community-weighted trait means (CWM) respond to
 prairie dog C. mexicanus disturbance across grassland types and seasons
 (dry and wet) in a priority conservation semiarid grassland of Northeast
 Mexico. Our findings suggest that functional metrics and CWM analyses
 responded to interactions between prairie dog disturbance, grassland type
 and season, whilst species diversity and cover measures were less
 sensitive to the role of prairie dog disturbance. We found weak evidence
 that prairie dog disturbance has a negative effect on vegetation
 structure, except for minimal effects on C4 and graminoid cover, but which
 depended mainly on season. Grassland type and season explained most of the
 effects on plant functional and taxonomic diversity as well as CWM traits.
 Furthermore, we found that leaf area as well as forb and annual cover
 increased during the wet season, independent of prairie dog disturbance.
 Our results provide evidence that grassland type and season have a
 stronger effect than prairie dog disturbance on the vegetation of this
 short-grass, water restricted grassland ecosystem. We argue that focusing
 solely on disturbance and grazing effects is misleading, and attention is
 needed on the relationships between vegetation and environmental
 conditions which will be critical to understand semi-arid grassland
 dynamics under future climate change conditions in the region. 
description: The excel file includes 4 sheets:
 <strong>MetaData</strong><br>Includes a general
 description od the dataset.  Explains each sheet name, the variable full
 names, codes, measurement units or classes and any extra explanations if
 necessary.
 <strong>traitlist-references</strong><br>Includes a references of each trait for each species. <strong>leafarea</strong><br>Includes individual leaf area measures for each species, with data of the season, site and grassland type (based on classification from Rodriguez-Barrera etal. 2022) <strong>species-traits-cover-persite</strong><br>Includes cover data for each site, including season, prairie dog condition and grassland type (based on Rodriguez-Barrera et al. 2022).
DOI: 10.22008/promice/data/ice_discharge/d/v02/dmygja
title: sector.nc

description: Sector discharge, coverage, and error. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/rdnfnn
title: gate_coverage.csv

description: Gate coverage. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/dcdprp
title: gate_D.csv

description: Gate discharge. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/kx3eey
title: gate_err.csv

description: Gate errors. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/og842i
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Git hash: b356a3a
DOI: 10.22008/promice/data/ice_discharge/d/v02/1spcfr
title: GIS_coverage.csv

description: Greenland coverage. Git hash: b356a3a