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zenodo44/100

Data from: Trends in butterfly populations in UK gardens – new evidence from citizen science monitoring

<p>This data package describes the annual abundance indices and trend estimates for 22 butterfly&nbsp;species in UK gardens for the period 2007-2020.</p> <p>These data form the basis of the results presented in:&nbsp;Plummer, K.E.,&nbsp;Dadam, D.,&nbsp;Brereton, T.,&nbsp;Dennis, E.B.,&nbsp;Massimino, D.,&nbsp;Risely, K.&nbsp;et al. (2023)&nbsp;Trends in butterfly populations in UK gardens&mdash;New evidence from citizen science monitoring.&nbsp;<em>Insect Conservation and Diversity</em>,&nbsp;1&ndash;&nbsp;13. Available from:&nbsp;<a href="https://doi.org/10.1111/icad.12645">https://doi.org/10.1111/icad.12645</a></p> <p>Please refer to the paper for an explanation of the underlying BTO Garden BirdWatch (GBW) data and modelling protocols used to produce the datasets included here.</p> <p>We would also greatly appreciate if you could fill out&nbsp;<a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p>

opencc-by-4.0May 2023View details →
zenodo44/100

Data on the fleas of house mice and ship rats in the Orongorongo Valley, New Zealand

<p>Data on autopsies and fleas of individual rats and mice snap-trapped in 80 quarterly 3-day trapping sessions over 1971-1991 in the Orongorongo Valley, Wellington, New Zealand. The fleas are preserved as slides in the Pilgrim Collection of Te Papa Tongarewa Museum of New Zealand, Wellington. The data are analysed in a forthcoming paper by Fitzgerald, Efford and Karl.</p> <p>&#39;Autopsy data.csv&#39; is the main spreadsheet.</p> <p>&#39;Data format.csv&#39; defines columns and codes.</p> <p>The autopsy data are a subset of those reported by Fitzgerald, Efford<br> and Karl (2004) and Efford, Fitzgerald, Karl and Berben (2006), both<br> with respect to the sampling period (trapping continued after May 1991,<br> but rats and mice were not searched for fleas) and data columns<br> (some reproductive fields have been omitted).</p> <p>The autopsy data may be read from the csv file into R (R Core Team 2023)<br> with the statement:</p> <p>autopsyF &lt;- read.csv(file = &#39;Orongorongo fleas 1971-1991 Autopsy data.csv&#39;)</p> <p>The resulting dataframe has 31 columns and 3006 rows:</p> <p>names(autopsyF)<br> &nbsp;[1] &quot;Autopsy&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Line&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Date&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Analysis.Year&quot; &quot;Session&quot;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[6] &quot;Day&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Season&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Trap&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Traptype&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Alive.dead&quot;&nbsp; &nbsp;<br> [11] &quot;Species&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Sex&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Age&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Weight&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;TotLth&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [16] &quot;TailLth&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Fleas&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;LsegnisM&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;LsegnisF&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;LsegnisU&quot;&nbsp;&nbsp;&nbsp; &nbsp;<br> [21] &quot;Lsegnis&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;NfascM&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;NfascF&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;NfascU&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Nfasc&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [26] &quot;Vagina&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Lact&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;Uterus&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;EmbryosT&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &quot;ScarCond&quot;&nbsp;&nbsp;&nbsp; &nbsp;<br> [31] &quot;Testes&quot;&nbsp; &nbsp;<br> &nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> nrow(autopsyF)<br> [1] 3006</p> <p>For completeness, the autopsy data include 64 hosts from these trapping sessions that were<br> not searched for fleas (coded as Fleas = 2).</p> <p>Quarterly indices of host density were tabulated by Fitzgerald et al. (2004; mice) and<br> Efford et al. (2006; rats).</p> <p>References</p> <p>Efford MG, Fitzgerald BM, Karl BJ, Berben PH. 2006. Population dynamics<br> &nbsp; of the ship rat <em>Rattus rattus</em> L. in the Orongorongo Valley, New Zealand.<br> &nbsp; New Zealand Journal of Zoology 33:273-297.</p> <p>Fitzgerald BM, Efford MG, Karl BJ. 2004. Breeding of house mice and the<br> &nbsp; mast seeding of southern beeches in the Orongorongo Valley, New Zealand.<br> &nbsp; New Zealand Journal of Zoology 31:167-184.</p> <p>Fitzgerald BM, Efford MG, Karl BJ. 2023. The fleas of house mice (<em>Mus musculus</em>)<br> &nbsp; and ship rats (<em>Rattus rattus</em>) in forest of the Orongorongo Valley, New Zealand.<br> &nbsp; For submission to New Zealand Journal of Zoology.</p> <p>R Core Team 2023. R: A Language and Environment for Statistical Computing.<br> &nbsp; R Foundation for Statistical Computing, Vienna, Austria.<br> &nbsp; https://www.R-project.org/</p>

opencc-by-4.0Jul 2023View details →
zenodo44/100

Data for "A New Year-Round Weather Regime Classification for North America"

<p>This dataset supports the work presented in <em>&quot;A New Year-Round Weather Regime Classification for North America&quot; </em>by Lee et al. (2023), published in&nbsp;<em>Journal of Climate</em>:&nbsp;<a href="https://doi.org/10.1175/JCLI-D-23-0214.1">https://doi.org/10.1175/JCLI-D-23-0214.1</a>&nbsp;</p> <p>The dataset includes the Z500 climatology and anomalies, the EOFs/PCs,&nbsp;and the parameters required to attribute each day to a regime, alongside the regimes as assigned over 1979-2022 (time series in netCDF and csv formats). In addition, we also supply the standardized projection of each day onto the cluster-mean normalized Z500 anomalies for each regime, termed the Weather Regime Index&nbsp;(WRI).</p>

opencc-by-4.0Jul 2023View details →
zenodo44/100

Carbonate spectra and Melilite overtone spectra from "Sakurai's Object revisited: new laboratory data for carbonates and melilites suggest the carrier of 6.9- μm excess absorption is a carbonate"

<p><strong>Carbonate and Melilite OVERTONE SPECTRA from &nbsp;Bowey, J. E., Hofmeister, A. 2022 MNRAS, 513, 1774. &nbsp;https://doi.org/10.1093/mnras/stac993</strong></p><p><i>"Sakurai's Object revisited: new laboratory data for carbonates and melilites suggest the carrier of 6.9- μ m excess absorption is a carbonate"</i></p><p><strong>Carbonate spectra in Fig 1 (carbonates.pdf) are in 2 column ascii files:&nbsp;</strong>&nbsp;</p><p>calcite_verythin.tau, calcite.tau, dolomite.tau, magnesite.tau</p><p><strong>True Meliliate overtone spectra in Fig 3 (goodmeliliteovertones.pdf are in 2 column ascii files</strong>: &nbsp;</p><p>Ak70_135micron_chip.tau, &nbsp;Ak70_120micron_chip.tau, Ak70.tau, Ak13.tau</p><p>The column 1 increment varies between files.</p><p>column 1 (x) is in increasing wavenumber (cm^-1)</p><p>column 2 (tau) is absorbance in optical depth units per micron thickness of sample.</p><p>Please see README.txt for more details.</p><p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
edi44/100

Lake ice surveys, 1874-2022, Adirondack Long-Term Ecological Monitoring Program Project No. 8 by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.

The objective of this dataset is to document ice-in and ice-out dates on several lakes on the State University of New York College of Environmental Science and Forestry's Huntington Wildlife Forest (HWF). Lakes include: Arbutus, Catlin, Deer, Military, Rich, Wolf and Lodo Pond; some records exist for Long Pond and other water bodies but they are not included here except in some comment fields.

openCC (other)Dec 2022View details →
edi44/100

Snakeweed (Gutierrezia sarothrae) Habitat Soils Data from the Sevilleta National Wildlife Refuge, New Mexico (1984)

In 1984, a research project was initiated on a relatively small disturbance patch just south of Deep Well. This disturbance was thought to be the result of an old praire dog town, probably dating back to when a nearby ranch was active, and a lot of old mammal mounds remained in the disturbed area. One of the things that made the disturbance patch particularily noticeable was the lush growth of snakeweed (Gutierrezia sarothrae) within the patch. This prompted the designation of the disturbance patch as the "snakeweed patch" or "Gutierrezia patch." In addition, there was an obvious increase in bare ground and a shift in vegetation composition across the patch boundary. The dominant vegetation was not consistent around the boundary, with a marked dominance of black grama on the west side of the plot and a blue/black grama mix on the other three sides. To obtain information on the cause and/or effect of this disturbance, a survey of the soil and vegetation was performed.

openOpenJan 2020View details →
edi44/100

Snakeweed (Gutierrezia sarothrae) Habitat Vegetation Transect Data from the Sevilleta National Wildlife Refuge, New Mexico (1996)

In 1984, a research project was initiated on a relatively small disturbance patch just south of Deep Well. This disturbance was thought to be the result of an old praire dog town, probably dating back to when a nearby ranch was active, and a lot of old mammal mounds remained in the disturbed area. One of the things that made the disturbance patch particularily noticeable was the lush growth of snakeweed (Gutierrezia sarothrae) within the patch. This prompted the designation of the disturbance patch as the "snakeweed patch" or "gutierrezia patch". In addition, there was an obvious increase in bare ground and a shift in vegetation composition across the patch boundary. The dominant vegetation was not consistent around the boundary, with a marked dominance of black grama on the west side of the plot and a blue/black grama mix on the other three sides. To obtain information on the cause and/or effect of this disturbance, a survey of the soil and vegetation was performed.In 1996, standard 100 m transects were set up parallel to the original vegetation transects and measured in a manner similar to SEV004 (Plant Line-Intercept Transects).

openOpenJan 2020View details →
edi44/100

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Soil Temperature Data from the Sevilleta National Wildlife Refuge, New Mexico (1/2006 - 7/2009)

This data set provides soil temperature data in each plot of the warming experiment (see SEV176). Data are collected with automated soil temperature probes at 15-minute intervals at two soil depths under grass and bare patches in each of the 40 plots.

openOpenJan 2020View details →
edi44/100

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Soil Moisture Data from the Sevilleta National Wildlife Refuge, New Mexico (1/2006-8/2009)

This data set provides soil moisture data in each plot of the warming experiment (see SEV176). Data are collected with automated soil moisture probes at 30-minute intervals at two soil depths under grass and bare patches in each of the 40 plots.

openOpenJan 2020View details →
edi44/100

Pinon Juniper Net Primary Production Quadrat Data from the Sevilleta National Wildlife Refuge, New Mexico: 1999-2001

This three-year study at the Sevilleta LTER was designed to monitor net primary production (NPP) across two distinct ecosystems: pinon/juniper woodland (P) and juniper savannah woodland (J). Net primary production (NPP) is a fundamental ecological variable that measures rates of carbon consumption and fixation. Estimates of NPP are important in understanding energy flow at a community level as well as spatial and temporal responses of the community to a wide range of ecological processes. While measures of both below- and above-ground biomass are important in estimating NPP, this study focused on estimating above-ground biomass production (ANPP).To measure ANPP (i.e., the change in plant biomass, represented by stems, flowers, fruit and foliage, over time), the vegetation variables in this dataset, including species composition and the cover and height of individuals, were sampled twice yearly (spring and fall) at permanent 1m x 1m plots. The data from these plots was used to build regressions correlating biomass and volume via weights of select harvested species obtained in SEV157, "Net Primary Productivity (NPP) Weight Data." In addition, volumetric measurements were obtained from permanent plots to build regressions correlating biomass and volume.Spring measurements were taken in April or May when shrubs and spring annuals reached peak biomass. Fall measurements were taken in either September or October when summer annuals reached peak biomass but prior to killing frosts. Winter measurements were taken in February before the onset of spring growth.

openOpenJan 2020View details →
edi44/100

Biome Transition Along Elevational Gradients in New Mexico (SEON) AmeriFlux Data (2007- )

The varied topography and large elevation gradients that characterize the arid and semi-arid Southwest create a wide range of climatic conditions - and associated biomes - within relatively short distances. This creates an ideal experimental system in which to study the effects of climate on ecosystems. Such studies are critical givien that the Southwestern U.S. has already experienced changes in climate that have altered precipitation patterns (Mote et al. 2005), and stands to experience dramatic climate change in the coming decades (Seager et al. 2007; Ting et al. 2007). Climate models currently predict an imminent transition to a warmer, more arid climate in the Southwest (Seager et al. 2007; Ting et al. 2007). Thus, high elevation ecosystems, which currently experience relatively cool and mesic climates, will likely resemble their lower elevation counterparts, which experience a hotter and drier climate. In order to predict regional changes in carbon storage, hydrologic partitioning and water resources in response to these potential shifts, it is critical to understand how both temperature and soil moisture affect processes such as evaportranspiration (ET), total carbon uptake through gross primary production (GPP), ecosystem respiration (Reco), and net ecosystem exchange of carbon, water and energy across elevational gradients.We are using a sequence of six widespread biomes along an elevational gradient in New Mexico -- ranging from hot, arid ecosystems at low elevations to cool, mesic ecosystems at high elevation to test specific hypotheses related to how climatic controls over ecosystem processes change across this gradient. We have an eddy covariance tower and associated meteorological instruments in each biome which we are using to directly measure the exchange of carbon, water and energy between the ecosystem and the atmosphere. This gradient offers us a unique opportunity to test the interactive effects of temperature and soil moisture on ecosystem proce

openOpenJan 2020View details →
edi44/100

Mega-Monsoon Experiment (MegaME) Vegetation Sampling Data from the Sevilleta National Wildlife Refuge, New Mexico

Shrub encroachment is a global phenomenon. Both the causes and consequences of shrub encroachment vary regionally and globally. In the southwestern US a common native C3 shrub species, creosotebush, has invaded millions of hectares of arid and semi-arid C4-dominated grassland. At the Sevilleta LTER site, it appears that the grassland-shrubland ecotone is relatively stable, but infill by creosotebush continues to occur. The consequences of shrub encroachment have been and continue to be carefully documented, but the ecological drivers of shrub encroachment in the southwestern US are not well known. One key factor that may promote shrub encroachment is grazing by domestic livestock. However, multiple environmental drivers have changed over the 150 years during which shrub expansion has occurred through the southwestern US. Temperatures are warmer, atmospheric CO2 has increased, drought and rainy cycles have occurred, and grazing pressure has decreased. From our prior research we know that prolonged drought greatly reduces the abundance of native grasses while having limited impact on the abundance of creosotebush in the grass-shrub ecotone. So once established, creosotebush populations are persistent and resistant to climate cycles. We also know that creosotebush seedlings tend to appear primarily when rainfall during the summer monsoon is well above average. However, high rainfall years also stimulate the growth of the dominant grasses creating a competitive environment that may not favor seedling establishment and survival. The purpose of the Mega-Monsoon Experiment (MegaME) is twofold. First, this experiment will determine if high rainfall years coupled with (simulated) grazing promote the establishment and growth of creosotebush seedlings in the grassland-shrubland ecotone at Sevilleta, thus promoting infill and expansion of creosotebush into native grassland. Second, MegaME will determine if a sequence of wet summer monsoons will promote the establishment and gro

openCC0Aug 2021View details →
edi44/100

Ecosystem-Scale Rainfall Manipulation in a Piñon-Juniper Forest at the Sevilleta National Wildlife Refuge, New Mexico: Meteorological Data (2006-2013 )

Climate models predict that water limited regions around the world will become drier and warmer in the near future, including southwestern North America. We developed a large-scale experimental system that allows testing of the ecosystem impacts of precipitation changes. Four treatments were applied to 1600 m2 plots (40 m × 40 m), each with three replicates in a piñon pine (Pinus edulis) and juniper (Juniper monosperma) ecosystem. These species have extensive root systems, requiring large-scale manipulation to effectively alter soil water availability. Treatments consisted of: 1) irrigation plots that receive supplemental water additions, 2) drought plots that receive 55% of ambient rainfall, 3) cover-control plots that receive ambient precipitation, but allow determination of treatment infrastructure artifacts, and 4) ambient control plots. Our drought structures effectively reduced soil water potential and volumetric water content compared to the ambient, cover-control, and water addition plots. Drought and cover control plots experienced an average increase in maximum soil and air temperature at ground level of 1-4° C during the growing season compared to ambient plots, and concurrent short-term diurnal increases in maximum air temperature were also observed directly above and below plastic structures. Our drought and irrigation treatments significantly influenced tree predawn water potential, sap-flow, and net photosynthesis, with drought treatment trees exhibiting significant decreases in physiological function compared to ambient and irrigated trees. Supplemental irrigation resulted in a significant increase in both plant water potential and xylem sap-flow compared to trees in the other treatments. This experimental design effectively allows manipulation of plant water stress at the ecosystem scale, permits a wide range of drought conditions, and provides prolonged drought conditions comparable to historical droughts in the past – drought events for which wide

openOpenJan 2020View details →
edi44/100

Ecosystem-Scale Rainfall Manipulation in a Piñon-Juniper Forest at the Sevilleta National Wildlife Refuge, New Mexico: Volumetric Water Content (VWC) at 5 cm Depth Data (2006- )

Climate models predict that water limited regions around the world will become drier and warmer in the near future, including southwestern North America. We developed a large-scale experimental system that allows testing of the ecosystem impacts of precipitation changes. Four treatments were applied to 1600 m2 plots (40 m × 40 m), each with three replicates in a piñon pine (Pinus edulis) and juniper (Juniper monosperma) ecosystem. These species have extensive root systems, requiring large-scale manipulation to effectively alter soil water availability. Treatments consisted of: 1) irrigation plots that receive supplemental water additions, 2) drought plots that receive 55% of ambient rainfall, 3) cover-control plots that receive ambient precipitation, but allow determination of treatment infrastructure artifacts, and 4) ambient control plots. Our drought structures effectively reduced soil water potential and volumetric water content compared to the ambient, cover-control, and water addition plots. Drought and cover control plots experienced an average increase in maximum soil and air temperature at ground level of 1-4° C during the growing season compared to ambient plots, and concurrent short-term diurnal increases in maximum air temperature were also observed directly above and below plastic structures. Our drought and irrigation treatments significantly influenced tree predawn water potential, sap-flow, and net photosynthesis, with drought treatment trees exhibiting significant decreases in physiological function compared to ambient and irrigated trees. Supplemental irrigation resulted in a significant increase in both plant water potential and xylem sap-flow compared to trees in the other treatments. This experimental design effectively allows manipulation of plant water stress at the ecosystem scale, permits a wide range of drought conditions, and provides prolonged drought conditions comparable to historical droughts in the past – drought events for which wide

openOpenJan 2020View details →
edi44/100

Riparian Evapotranspiration (ET) Study (SEON) from the Middle Rio Grande River Bosque, New Mexico (1999-2011 ): Vapor Pressure Deficit (VPD) Data

We hypothesized that flooding and invasions of non-native species would strongly impact ecosystem water use. Our objectives were to measure and compare water use of native (Rio Grande cottonwood, Populus deltoides ssp. wizleni) and non-native (saltcedar, Tamarix chinensis, Russian olive, Eleagnus angustifolia) vegetation and to evaluate how water use is affected by climatic variability resulting in high river flows and flooding as well as drought conditions and deep water tables. Eddy covariance flux towers to measure ET and shallow wells to monitor water tables were instrumented in 1999. Active sites in their second decade of monitoring include a xeroriparian, non-flooding salt cedar woodland within Sevilleta National Wildlife Refuge and a dense, monotypic salt cedar stand at Bosque del Apache NWR, which is subject to flood pulses associated with high river flows.

openOpenJan 2020View details →
edi44/100

Monsoon Rainfall Manipulation Experiment (MRME) Meteorology Data from a Chihuahuan Desert Grassland at the Sevilleta National Wildlife Refuge, New Mexico

The Monsoon Rainfall Manipulation Experiment (MRME) is to understand changes in ecosystem structure and function of a semiarid grassland caused by increased precipitation variability, which alters the pulses of soil moisture that drive primary productivity, community composition, and ecosystem functioning. The overarching hypothesis being tested is that changes in event size and variability will alter grassland productivity, ecosystem processes, and plant community dynamics. In particular, we predict that many small events will increase soil CO2 effluxes by stimulating microbial processes but not plant growth, whereas a small number of large events will increase aboveground NPP and soil respiration by providing sufficient deep soil moisture to sustain plant growth for longer periods of time during the summer monsoon. Â These data were collected at a meteorological station at the Monsoon Site.

openCC (other)May 2023View details →
edi44/100

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Soil Temperature, Moisture, and Carbon Dioxide Data from the Sevilleta National Wildlife Refuge, New Mexico

Humans are creating significant global environmental change, including shifts in climate, increased nitrogen (N) deposition, and the facilitation of species invasions. A multi-factorial field experiment is being performed in an arid grassland within the Sevilleta National Wildlife Refuge (NWR) to simulate increased nighttime temperature, higher N deposition, and heightened El Nino frequency (which increases winter precipitation by an average of 50%). The purpose of the experiment is to better understand the potential effects of environmental drivers on grassland community composition, aboveground net primary production and soil respiration. The focus is on the response of two dominant grasses (Bouteloua gracilis and B eriopoda), in an ecotone near their range margins and thus these species may be particularly susceptible to global environmental change. It is hypothesized that warmer summer temperatures and increased evaporation will favor growth of black grama (Bouteloua eriopoda), a desert grass, but that increased winter precipitation and/or available nitrogen will favor the growth of blue grama (Bouteloua gracilis), a shortgrass prairie species. Treatment effects on limiting resources (soil moisture, nitrogen availability, species abundance, and net primary production (NPP) are all being measured to determine the interactive effects of key global change drivers on arid grassland plant community dynamics and ecosystem processes. This dataset shows values of soil moisture, soil temperature, and the CO2 flux of the amount of CO2 that has moved from soil to air. On 4 August 2009 lightning ignited a ~3300 ha wildfire that burned through the experiment and its surroundings. Because desert grassland fires are patchy, not all of the replicate plots burned in the wildfire. Therefore, seven days after the wildfire was extinguished, the Sevilleta NWR Fire Crew thoroughly burned the remaining plots allowing us to assess experimentally the effects of interactions among multip

openCC0Aug 2021View details →
edi44/100

Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Soil Nitrogen Data from the Sevilleta National Wildlife Refuge, New Mexico (2006 - 2020)

Humans are creating significant global environmental change, including shifts in climate, increased nitrogen (N) deposition, and the facilitation of species invasions. A multi-factorial field experiment is being performed in an arid grassland within the Sevilleta National Wildlife Refuge (NWR) to simulate increased nighttime temperature, higher N deposition, and heightened El Niño frequency (which increases winter precipitation by an average of 50%). The purpose of the experiment is to better understand the potential effects of environmental drivers on grassland community composition, aboveground net primary production and soil respiration. The focus is on the response of two dominant grasses (Bouteloua gracilis and B eriopoda), in an ecotone near their range margins and thus these species may be particularly susceptible to global environmental change. It is hypothesized that warmer summer temperatures and increased evaporation will favor growth of black grama (Bouteloua eriopoda), a desert grass, but that increased winter precipitation and/or available nitrogen will favor the growth of blue grama (Bouteloua gracilis), a shortgrass prairie species. Treatment effects on limiting resources (soil moisture, nitrogen availability, species abundance, and net primary production (NPP) are all being measured to determine the interactive effects of key global change drivers on arid grassland plant community dynamics and ecosystem processes. On 4 August 2009 lightning ignited a ~3300 ha wildfire that burned through the experiment and its surroundings. Because desert grassland fires are patchy, not all of the replicate plots burned in the wildfire. Therefore, seven days after the wildfire was extinguished, the Sevilleta NWR Fire Crew thoroughly burned the remaining plots allowing us to assess experimentally the effects of interactions among multiple global change presses and a pulse disturbance on post-fire grassland dynamics. This data set provides soil N availability in each

openCC0Jul 2020View details →
edi44/100

Monsoon Rainfall Manipulation Experiment (MRME): Soil Nitrogen Data from the Sevilleta National Wildlife Refuge, New Mexico (2007 - 2020)

The Monsoon Rainfall Manipulation Experiment (MRME) is designed to understand changes in ecosystem structure and function of a semiarid grassland caused by increased precipitation variability, by altering rainfall pulses, and thus soil moisture, that drive primary productivity, community composition, and ecosystem functioning. The overarching hypothesis being tested is that changes in event size and frequency will alter grassland productivity, ecosystem processes, and plant community dynamics. Treatments include (1) a monthly addition of 20 mm of rain in addition to ambient, and a weekly addition of 5 mm of rain in addition to ambient during the months of July, August and September. We predict that soil N availability with interact with rainfall event size to alter net primary productivity during the summer monsoon. Specifically, productivity will be higher on fertilized relative to control plots, and productivity will be highest on N addition plots in treatments with a small number of large events because these events infiltrate deeper and soil moisture is available longer following large compared to small events.

openCC0Jul 2020View details →
edi44/100

Riparian depth to groundwater from monthly well data in the shallow aquifer of the Rio Grande flood plain (Bosque) in New Mexico, USA: 1997-2023

Bosque Ecosystem Monitoring Program(BEMP). BEMP is a partnership between Bosque School, Sevilleta Long Term Ecological Research Station, and the University of New Mexico. Five wells at each BEMP site (33 in total) are used to measure depth to groundwater, which plays a critical role in cottonwood and other vegetation health and are also important to understanding water cycle and evapotranspiration dynamics.

openCC (other)Mar 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record