cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e240256v1
title: Climate change effects on ecosystem services supply & demand: an updated synthesis — Data

description: <b>Note</b>: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1VED5SA.<br><br>Climate change is a pervasive and growing global threat to nature’s contributions to people. To inform proactive adaptation actions and research priorities, it is important to periodically synthesize peer-reviewed evidence of observed and projected climate effects on ecosystem services. By systematically reviewing journal articles that were published between 2014 and 2018, we aimed to identify trends and gaps in recent assessments of climate effects on ecosystem service supply, demand, and monetary value. In addition to recording direct climate impacts, we extracted data regarding climate interactions with non-climate drivers, study context (e.g., spatial scale, location, ecosystem) and methodology, characteristics and interactions between services, whether and how uncertainty was assessed, and implications for decision-making. While biased and constrained by excluding articles published in non-English languages and grey literature, this data spreadsheet compiles summary information and relevant literature for managers, decision-makers, researchers, and planners.<br><br>Purpose<br>The compiled data underlie a synthesis of recent and future climate effects on ecosystem service supply, demand, and monetary value. By integrating information from recent publications, the data spreadsheet and associated synthesis update and extend previous literature reviews (particularly, Runting et al., 2017). The data spreadsheet also represents a literature library of climate impacts on ecosystem services, which can be aggregated or disaggregated by study areas and methodologies, ecosystem service features and interactions, climate and non-climate driver interactions, uncertainty assessment approaches, and decision-making implications. Research gaps discerned from the data (e.g., described in the synthesis paper) can inform crucial directions for future studies. In addition to supporting analyses that yield valuable summaries for practitioners (e.g., managers, decision-makers, planners), this literature library can be a source of context-relevant case studies for ensuring continued flows of nature’s benefits to people in an uncertain and changing climate.
DOI: 10.15468/dl.7mv4mu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus platycephalus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031606-251025141854904/datasets/export for details.
DOI: 10.15468/dl.2p27vz
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otospermophilus atricapillus"
 ]
}

 The dataset includes 228 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031605-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kj4c2
title: Occurrence Download

description: A dataset containing 27469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.39_1",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 27469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031609-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240259v1
title: Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-Major Allele Frequency by Population

description: Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert bighorn sheep, but that climate was associated with at least 1 locus (i.e., location on the genome) under directional selection. The alternate allele (i.e., variant) at this locus was associated with biologically significant increases in elevation and precipitation, decreases in temperature, and was nearly private to herds occupying the Great Basin ecosystem. Our results suggest climate conditions at higher latitudes may have resulted in a distinct ecotype of desert bighorn sheep whose adaptations are still apparent among the few remaining indigenous populations in the Great Basin. We also found 2 highly supported candidate genes in the genomic region linked to this outlier. How the molecular function of these candidate genes may affect physiological response of desert bighorn sheep to climate is unclear, although their identification provides new insight into the genetic mechanisms potentially underlying environmental adaptation. We identified several other loci under strong directional selection not related to climate and described a previously unknown pattern of strong genetic divergence of bighorn sheep within the White Mountains compared to other populations. Overall, these findings suggest selection from environmental factors may influence genomic variation at the ecosystem-scale in desert bighorn sheep and these results extend our understanding of how this subspecies may respond to different environmental conditions.
DOI: 10.6084/m9.figshare.30614207
title: Pills dataset

description: Images of pills in various lighting and backgrounds
DOI: 10.6084/m9.figshare.30614207.v1
title: Pills dataset

description: Images of pills in various lighting and backgrounds
DOI: 10.15468/dl.f4adeh
title: Occurrence Download

description: A dataset containing 23014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otospermophilus variegatus"
 ]
}

 The dataset includes 23014 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031607-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgdr6y
title: Occurrence Download

description: A dataset containing 1497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Mexico",
 "Geometry POLYGON((-118.28275 32.21362,-114.799 10.86641,-83.29705 14.72077,-85.81721 32.73247,-118.28275 32.21362))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 1497 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031612-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcpqdf
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nectandra angustifolia"
 ]
}

 The dataset includes 418 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031610-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtnc87
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euvola perula",
 "Year 2000-2025"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031611-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s4jg6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amia calva",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031613-251025141854904/datasets/export for details.
DOI: 10.15468/dl.63axrd
title: Occurrence Download

description: A dataset containing 324180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Nucifraga columbiana"
 ]
}

 The dataset includes 324180 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031575-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rywrmc
title: Occurrence Download

description: A dataset containing 1780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 1780 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031614-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240251
title: A Summary of CMIP3 and CMIP5 Climate Change Projections for the Conterminous U.S.

description: This dataset includes model projections of seasonal temperature (T), precipitation (P), and runoff (R) from 214 climate simulations from coupled model intercomparison project (CMIP) 3 and CMIP5 scenarios for 19-year periods centered on 2030, 2060, and 2090. The summaries of the climate model projections are presented as percentiles (5th, 25th, 50th, 75th, and 95th) of seasonal (October through March, January through March, April through June, and July through September) changes in T, P, and R for the 214 climate models. The metrics are calculated from variables previously summarized across the conterminous United States for hydrologic response units of the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). T, P, and R were previously derived using a monthly water balance model (Bock and others, 2016; 2017). Names, sources, and references of the climate inputs are described in Bock and others (2017).
DOI: 10.3886/e240251v1
title: A Summary of CMIP3 and CMIP5 Climate Change Projections for the Conterminous U.S.

description: This dataset includes model projections of seasonal temperature (T), precipitation (P), and runoff (R) from 214 climate simulations from coupled model intercomparison project (CMIP) 3 and CMIP5 scenarios for 19-year periods centered on 2030, 2060, and 2090. The summaries of the climate model projections are presented as percentiles (5th, 25th, 50th, 75th, and 95th) of seasonal (October through March, January through March, April through June, and July through September) changes in T, P, and R for the 214 climate models. The metrics are calculated from variables previously summarized across the conterminous United States for hydrologic response units of the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). T, P, and R were previously derived using a monthly water balance model (Bock and others, 2016; 2017). Names, sources, and references of the climate inputs are described in Bock and others (2017).
DOI: 10.15468/dl.e5bmsm
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , Phoebe nigrifolia, , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031615-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8zwbj
title: Occurrence Download

description: A dataset containing 1497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is Mexico",
 "Geometry POLYGON((-118.28275 32.21362,-114.799 10.86641,-83.29705 14.72077,-85.81721 32.73247,-118.28275 32.21362))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 1497 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031616-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyesdj
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is PRT.7.7_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 206 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031617-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240263
title: Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States

description: Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners. Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.
DOI: 10.3886/e240263v1
title: Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States

description: Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners. Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.
DOI: 10.15468/dl.qsakwg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammocrypta bifascia",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031619-251025141854904/datasets/export for details.
DOI: 10.3886/e240261
title: Data and Associated Code for Projections of Unimpaired Flows, Storage, and Managed Flows for Climate Change Scenarios in the San Francisco Bay-Delta Watershed, California

description: This
 data release includes data containing projections of unimpaired 
hydrology, reservoir storage, and downstream managed flows in the 
Sacramento River/San Joaquin River watershed under scenarios of future 
climate change generated for the CASCaDE2 project (Computational 
Assessments of Scenarios of Change for the Delta Ecosystem, phase 2). 
Code used to produce the data is also included. The dataset is produced 
using a multiple-model approach. First, downscaled global climate model 
outputs are used to drive an existing Variable Infiltration 
Capacity/Variable Infiltration Capacity Routing (VIC/RVIC) model of 
Sacramento/San Joaquin hydrology, resulting in projections of daily, 
unimpaired flows throughout the watershed. A management model, 
CASCaDE2-modified CalSim (C2-CalSim), uses these projections as inputs 
and produces monthly estimates of reservoir and other infrastructure 
operations and resulting downstream managed flows. A historical 
resampling algorithm, CASCaDE2 resampling algorithm (CRESPI), also uses 
the projected daily unimpaired flows, along with historical managed 
flows, to estimate the daily variability in managed flows throughout the
 watershed. The monthly and daily managed-flow estimates are combined in
 a way that preserves the multi-decadal variability and century-scale 
trends produced by the C2-CalSim model and the day-to-day variability 
produced by the CRESPI algorithm. The resulting data are analyzed and 
processed to produce tables, figures, and text for the associated 
publications. To reduce the archive's size, data from a given step in 
the analyis that are not used in a subsequent step have not been 
included in this release. All code generated by the USGS to produce the 
data is included in this release. This includes all code to download and
 preprocess external data; code to set up and control the RVIC model 
runs; code to modify, set up, and control runs of the CalSim 2 model; 
all code for the CRESPI algorithm; all code to postprocess and analyze 
model outputs; and all code needed to produce published figures, tables 
and text that includes calculated values. A detailed README file is 
included with instructions for running the code, including how to obtain
 the external RVIC and CalSim 2 models.<br>
DOI: 10.3886/e240261v1
title: Data and Associated Code for Projections of Unimpaired Flows, Storage, and Managed Flows for Climate Change Scenarios in the San Francisco Bay-Delta Watershed, California

description: This
 data release includes data containing projections of unimpaired 
hydrology, reservoir storage, and downstream managed flows in the 
Sacramento River/San Joaquin River watershed under scenarios of future 
climate change generated for the CASCaDE2 project (Computational 
Assessments of Scenarios of Change for the Delta Ecosystem, phase 2). 
Code used to produce the data is also included. The dataset is produced 
using a multiple-model approach. First, downscaled global climate model 
outputs are used to drive an existing Variable Infiltration 
Capacity/Variable Infiltration Capacity Routing (VIC/RVIC) model of 
Sacramento/San Joaquin hydrology, resulting in projections of daily, 
unimpaired flows throughout the watershed. A management model, 
CASCaDE2-modified CalSim (C2-CalSim), uses these projections as inputs 
and produces monthly estimates of reservoir and other infrastructure 
operations and resulting downstream managed flows. A historical 
resampling algorithm, CASCaDE2 resampling algorithm (CRESPI), also uses 
the projected daily unimpaired flows, along with historical managed 
flows, to estimate the daily variability in managed flows throughout the
 watershed. The monthly and daily managed-flow estimates are combined in
 a way that preserves the multi-decadal variability and century-scale 
trends produced by the C2-CalSim model and the day-to-day variability 
produced by the CRESPI algorithm. The resulting data are analyzed and 
processed to produce tables, figures, and text for the associated 
publications. To reduce the archive's size, data from a given step in 
the analyis that are not used in a subsequent step have not been 
included in this release. All code generated by the USGS to produce the 
data is included in this release. This includes all code to download and
 preprocess external data; code to set up and control the RVIC model 
runs; code to modify, set up, and control runs of the CalSim 2 model; 
all code for the CRESPI algorithm; all code to postprocess and analyze 
model outputs; and all code needed to produce published figures, tables 
and text that includes calculated values. A detailed README file is 
included with instructions for running the code, including how to obtain
 the external RVIC and CalSim 2 models.<br>