Find research datasets worth reusing

Point-count bird censusing: long-term monitoring of bird abundance and diversity along the Salt River in the greater Phoenix metropolitan area, ongoing since 2013 (Reformatted to the ecocomDP Design Pattern)

Long-term monitoring of ground-dwelling arthropods in central Arizona-Phoenix, ongoing since 1998 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/41/16. The abstract below was extracted from the Level 0 data package and is included for context: The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program has been monitoring ground-dwelling arthropods (e.g., insects, ararchnids) at locations throughout the greater Phoenix metropolitan area (GPMA) and surrounding Sonoran desert region since 1998. Monitoring locations span a diversity of habitat types, including mesic and xeric residential yards, commercial areas, agricultural fields, desert locations within the GPMA (desert remnant), and undisturbed desert locations. Organisms are collected quarterly using unbaited pitfall traps, typically ten per location but with some variation, exposed for approximately seventy-two hours. Organisms are identified to the lowest practical taxonomic level and enumerated. Many of the sampling locations established at the beginning of the monitoring project were relocated in 2001-2002 to overlap with the CAP LTER’s Ecological Survey of Central Arizona (ESCA; formerly named Survey200) long-term monitoring sites, although within the same general landscape categories.

openCC (other)Mar 2023View details →

Interagency Ecological Program: Zooplankton abundance in the Upper San Francisco Estuary from 1972-2021, an integration of 7 long-term monitoring programs

The upper San Francisco Estuary is an inland inverse delta formed by the confluence of 5 major rivers that drain 40% of the land in California (USA). It is a central hub of water delivery in California and home to a number of commercially important and endangered fish, such as Chinook Salmon, Green Sturgeon, and Delta Smelt. To monitor the environmental impacts of water exports from this system, extensive ecological monitoring has been conducted since the 1960s. To track lower trophic levels, zooplankton abundance has been monitored from 1972 to present. Starting with just one survey (the CA Department of Water Resources’ [CDWR] and California Department of Fish and Wildlife’s [CDFW] Environmental Monitoring Program) in 1972, the suite of zooplankton surveys gradually expanded with time. Several surveys traditionally focused on monitoring fish abundance added zooplankton nets to their sampling programs. The CDFW 20-mm larval fish survey added zooplankton sampling in 1995, the CDWR Yolo Bypass Fish Monitoring Program add zooplankton in 1999, the CDFW Summer Townet Survey added zooplankton in 2005, and the Fall Midwater Trawl added zooplankton in 2007. Two new sampling programs, the Fish Restoration Program and Directed Outflow Project, began in 2015 and 2017, respectively. All sampling programs continue today. Each survey samples once or twice monthly at set of fixed or random stations that varies across surveys depending on their objectives. While the Environmental Monitoring Program samples year-round, the other surveys are mostly seasonal, although additional months were sampled in some years. Most surveys target open channels although the Fish Restoration Program samples in or near shallow tidal wetlands. Three size classes of zooplankton are targeted by these sampling programs with different net mesh sizes: micro zooplankton (copepods and rotifers) are targeted with a 43 µm mesh net, meso zooplankton (copepods and cladocerans) are targeted with 150 - 160 µm mesh

Point-count bird censusing: long-term monitoring of bird abundance and diversity along the Salt River in the greater Phoenix metropolitan area, ongoing since 2013 (Reformatted to a Darwin Core Archive)

Long-term monitoring of herpetofauna along the Salt and Gila Rivers in and near the greater Phoenix metropolitan area, ongoing since 2012 (Reformatted to a Darwin Core Archive)

openCC0Jan 2022View details →

Long-term monitoring and research of the ecology of the Tres Rios constructed treatment wetland, Phoenix, Arizona, USA, ongoing since 2011

# Project Description In order to better understand the water, nutrient and treatment dynamics of aridland constructed treatment wetlands, we have developed datasets tracking primary productivity (aboveground and belowground), nutrient and water budget dynamics, soils, and aquatic metabolism at the Tres Rios wetlands, operated by the City of Phoenix Water Services Department, since July 2011. The 3-cell Tres Rios Wetlands were completed in 2010 and are associated with the 91st Avenue Wastewater Treatment Plant, the largest in Phoenix. This project is focused on the largest of the three wetlands treatment cells which was the first to be planted and became operational in Summer 2010. The wetland cells are bounded by roads (the "shoreline"), and the system we study is 42 ha in size, approximately half of which is open water and half of which is fringing vegetated marsh. Water depth is relatively consistent across the marsh (approximately 25cm) and effluent inflow to the cell varies seasonally from 95,000 to over 270,000 m3 d-1. Measurements are taken along two gradients representing the two hydraulic pathways of the system: The whole-system, from inflow to outflow, within the vegetated marsh itself. # Abstract Constructed treatment wetlands (CTW) provide cost effective and ecosystem-service based solutions to the problem of urban wastewater treatment. They are a particularly attractive option for water reuse in arid cities, where water resources are scarce, and understanding CTW function in these environments is critical to facilitating sustainable water use practices. Although CTW are well established and studied in mesic climates, how they function in and respond to hot, arid climates is comparatively not well understood. Specifically, large atmospheric water losses via evaporation and plant transpiration comprise a much larger component of the whole-system water budget than in mesic climates. Additionally, given the primary role that emergent macrophytes play in nit

zenodo52/100

Belvedere Glacier long-term monitoring Open Data

Introduction This dataset contains extensive, long-term monitoring data on the Belvedere Glacier, a debris-covered glacier located on the east face of Monte Rosa in the Anzasca Valley of the Italian Alps. The data is derived from photogrammetric 3D reconstruction of the full Belvedere Glacier and includes: <ul> <li>dense point clouds obtained with UAV-based MVS covering the entire glacier body</li> <li>high-resolution orthophotos</li> <li>high-resolution DEMs</li> </ul> Since 2015, in-situ survey of the glacier have been conducted annually using fixed-wing UAVs until 2020 and quadcopters from 2021 to 2022 to remotely sense the glacier and build high-resolution photogrammetric models. A set of ground control points (GCPs) were materialized all over the glacier area, both inside the glacier and along the moraines, and surveyed (nearly-) yearly with topographic-grade GNSS receivers (Ioli et al., 2022). For the period from 1977 to 2001, historical analog images, digitalized with photogrammetric scanners and acquired from aerial platforms, were used in combination with GCPs obtained from recent photogrammetric models (De Gaetani et al., 2021). Before downloading them, you can explore the photogrammetric point clouds of the Belvedere Glacier within web app based on Potree from <a href="https://thebelvedereglacier.it/" target="_blank" rel="noopener">https://thebelvedereglacier.it/</a> (use a web browser from a desktop/laptop for the best experience). Additionally, from here you can also visualize and download the coordinates of the GCPs measured by GNSS every year since 2015.   Belvedere Glacier The Belvedere Glacier is an important temperate alpine glacier located on the east face of Monte Rosa in the Anzasca Valley of Italy. The Belvedere Glacier is of particular importance among alpine glaciers because it is a debris-covered glacier and it reaches its lowest elevation at about 1800 m a.s.l. Over the last century, the Belvedere Glacier has experienced extraordinary dynamics, such as a surge-like movement or the formation of a supraglacial lake, which seriously threatened the nearby community of Macugnaga.   Data organization The data are organized by year in compressed zip folders named belvedere_YYYY.zip, which can be downloaded independently. Each folder contains all data available for that year (i.e. photogrammetric point clouds,  orthophotos, and DEMs) and the corresponding metadata. Metadata is provided as a .json file which contains all the main information for data usage. Point clouds are saved in compressed las format (.laz) and they can be inspected e.g., with CloudCompare. Orthophotos and DEMs are georeferenced images (.tif) that can be inspected with any GIS software (e.g., QGIS). Large point clouds are subdivided into regular tiles, which are numbered in a progressive row-wise order from the bottom-left corner of the point cloud bounding box. All the files are named according to the following naming schema: "belv_YYYY_surveyplatform_datatype[_resolution][vertical_datum][-tile_number].extension" where:  <ul> <li>YYYY: is the year of the survey</li> <li>surveyplatform: can be either "uav" for the UAV-based photogrammetry survey or "histo" for the historical aerial datasets.</li> <li>datatype: can be either "pcd" for point clouds, "orthophoto" for orthophotos and "dsm" for DSMs. </li> <li>resolution: on-ground resolution of each pixel in meters. This applies only to raster data (orthophoto and DSMs)</li> <li>vertical_datum: if the DSM is given in orthometric coordinates, the label "ortho" is present in the filename, otherwise the height of the dataset is supposed to be ellipsoidal.</li> <li>tile: tile number, if the data is tiled to avoid large files.</li> </ul> Data Usage This dataset can be used to estimate glacier velocities, volume variations, study geomorphological processes such as the process of moraine collapse, or derive other information on glacier dynamics. If you have any requests on the data provided, data acquisition, or the raw data themselves, you are encouraged to contact us.   Contributions The monitoring activity carried out on the Belvedere Glacier was designed and conducted jointly by the Department of Civil and Environmental Engineering (DICA) of Politecnico di Milano and the Department of Environment, Land and Infrastructure Engineering (DIATI) of Politecnico di Torino. The DREAM projects (DRone tEchnnology for wAter resources and hydrologic hazard Monitoring), involving teachers and students from Alta Scuola Politecnica (ASP) of Politecnico di Torino and Milano, contributed to the campaign from 2015 to 2017.   Acknowledgements <div>The authors thank CGR SpA for digitizing the historical images (1977, 1991, 2001, 2009) and making them available to the authors for the photogrammetric processing.</div> <div>The authors thank all students and collaborators contributing to the Alta Scuola Politecnica projects DREAM 1, DREAM 2, and DREAM 3 (DRone tEchnnology for wAter resources and hydrologic hazard Monitoring). </div> <div> </div> <div> </div> If you use the data, please, cite these our pubblications: Ioli, F., Dematteis, N., Giordan, D., Nex, F., Pinto, L., Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring. PFG (2024). <a href="https://doi.org/10.1007/s41064-023-00272-w" target="_blank" rel="noopener">https://doi.org/10.1007/s41064-023-00272-w</a> Ioli, F.; Bianchi, A.; Cina, A.; De Michele, C.; Maschio, P.; Passoni, D.; Pinto, L. Mid-Term Monitoring of Glacier’s Variations with UAVs: The Example of the Belvedere Glacier. Remote Sensing, 14, 28 (2022). <a href="https://doi.org/10.3390/rs14010028" target="_blank" rel="noopener">https://doi.org/10.3390/rs14010028</a> De Gaetani, C.I.; Ioli, F.; Pinto, L. Aerial and UAV Images for Photogrammetric Analysis of Belvedere Glacier Evolution in the Period 1977–2019. Remote Sensing, 13, 3787 (2021). <a href="https://doi.org/10.3390/rs13183787" target="_blank" rel="noopener">https://doi.org/10.3390/rs13183787</a>

opencc-by-4.0Apr 2023View details →

Long-term monitoring of ground-dwelling arthropods in the McDowell Sonoran Preserve, Scottsdale, Arizona, ongoing since 2012 (Reformatted to a Darwin Core Archive)

Long-term monitoring of ground-dwelling arthropods in central Arizona-Phoenix, ongoing since 1998 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/254/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/41/16. The abstract below was extracted from the Level 0 data package and is included for context: The Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) program has been monitoring ground-dwelling arthropods (e.g., insects, ararchnids) at locations throughout the greater Phoenix metropolitan area (GPMA) and surrounding Sonoran desert region since 1998. Monitoring locations span a diversity of habitat types, including mesic and xeric residential yards, commercial areas, agricultural fields, desert locations within the GPMA (desert remnant), and undisturbed desert locations. Organisms are collected quarterly using unbaited pitfall traps, typically ten per location but with some variation, exposed for approximately seventy-two hours. Organisms are identified to the lowest practical taxonomic level and enumerated. Many of the sampling locations established at the beginning of the monitoring project were relocated in 2001-2002 to overlap with the CAP LTER’s Ecological Survey of Central Arizona (ESCA; formerly named Survey200) long-term monitoring sites, although within the same general landscape categories.

openCC0Jan 2023View details →

Regional drinking water quality monitoring program: long-term monitoring of water quality in select canals, reservoirs, and treatment plants of the greater Phoenix, Arizona metropolitan area drinking water system, ongoing since 1998

Regional Drinking Water Quality Monitoring Program ================================================== Arizona Statue University (ASU) has been working with regional water providers (Salt River Project (SRP), Central Arizona Project (CAP)) and metropolitan Phoenix cities since 1998 on algae-related issues affecting drinking water supplies, treatment, and distribution. The results have improved the understanding of taste and odor (T&O) occurrence, control, and treatment, improved the understanding of dissolved organic and algae dynamics, and initiated a forum to discuss and address regional water quality issues. The monitoring benefits local Water Treatment Plants (WTPs) by optimizing ongoing operations (i.e., reducing operating costs), improving the quality of municipal water for consumers, facilitating long-term water quality planning, and providing information on potentially future-regulated compounds. ASU has been monitoring water quality in terminal reservoirs (Lake Pleasant, Saguaro Lake, and Bartlett Lake) continuously from 1998 to the present for algae-related constituents (taste and odors, and more recently metals from the upper reservoirs), nutrients, and disinfection by-product precursors (i.e., total and dissolved organic carbon and organic nitrogen). Additional monitoring has been conducted in the SRP and CAP canal systems and in water treatment plants in Phoenix, Tempe and Peoria. During this work the Valley has been in a prolonged drought and recently one above average wet year, and this data provides important baseline data for development of new or expanded WTPs and management of existing WTPs in the future. The current work has improved the understanding of T&O sources and treatment, but additional research and monitoring into the future is necessary. Reservoir monitoring is conducted once per month at Bartlett Lake, Saguaro Lake, and Lake Pleasant, and quarterly at Roosevelt, Apache, and Canyon Lakes. Samples are depth integrated in the epilimnion a

openCC0Oct 2024View details →

Long-term monitoring of herpetofauna along the Salt and Gila Rivers in and near the greater Phoenix metropolitan area, ongoing since 2012

Waterways are often the focus of restoration efforts in urban areas. In arid regions, passive discharge of urban water sources may stimulate the recovery or growth of wetland and riparian features in dewatered or ephemeral aquatic systems. In the greater Phoenix metropolitan area (GPMA), sections of the Salt and Gila Rivers have been the targets of active restoration through seeding, planting, and irrigation. At the same time, revegetation has occurred in some sections of the rivers in response to runoff from urban water sources (e.g., storm drains). This dataset catalogs the results of herpetological surveys conducted at several locations along the Salt and Gila Rivers in and around the GPMA beginning in March 2012. Survey locations include riparian areas in urban and non-urban locations that have been (actively) restored or have revegetated in response to urban runoff, and that feature ephemeral or perennial sources of water. This is a long-term monitoring effort of the CAP LTER with on-going data collection.

openCC0Oct 2024View details →

Point-count bird censusing: long-term monitoring of bird abundance and diversity along the Salt River in the greater Phoenix metropolitan area, ongoing since 2013

Waterways are often the focus of restoration efforts in urban areas. In arid regions, passive discharge of urban water sources may stimulate the recovery or growth of wetland and riparian features in dewatered or ephemeral aquatic systems. In the greater Phoenix metropolitan area (GPMA), sections of the Salt and Gila Rivers have been the targets of active restoration through seeding, planting, and irrigation. At the same time, revegetation has occurred in some sections of the rivers in response to runoff from urban water sources (e.g., storm drains). This dataset catalogs the results of bird surveys conducted at several locations along the Salt River in and around the GPMA beginning in March 2013. Monitoring locations focus on reaches of the river with different characteristics, including: (1) urbanized with perennial water and actively restored (n=2 reaches), (2) urbanized with perennial water and passively restored (n=2 reaches), (3) urbanized with ephemeral water but not restored (n=2 reaches), and (4) non-urban reference areas with perennial water (n=1 reach). This program expands on bird monitoring that the CAP LTER conducts at other locations in and around the GPMA, and complements herpetological surveys that are performed at these locations along the Salt River where the bird surveys are performed. This is a long-term monitoring effort of the CAP LTER with on-going data collection.

openCC0Oct 2022View details →

Long-term monitoring of reptiles and ground arthropods near the Phoenix-Mesa Gateway Airport, Mesa, Arizona, USA, ongoing since 2010

Reptiles and amphibians have been monitored at the Gateway site since 2010. The goals of the project have been to provide undergraduate and graduate students opportunities to learn hands-on wildlife techniques, follow seasonal patterns of herpetofauna and ground arthropods, and serve as a test bed for new projects and technologies, including development of a mobile app for data collection. Live trapping methods include 6 trap arrays of pitfall and funnel traps placed along drift fences. Arrays are checked daily when traps are actively open to trap animals. Lizards are given a unique toe clip code, but all other species are unmarked. Reptiles and amphibians are weighed and measured and released at point of capture. Ground arthropods are counted to the Order-level. Arrays are open typically from March to October and the years vary in trapping effort with arrays open from 2 to 68 days per year. The most common species captured are tiger whiptail (*Aspidoscelis tigris*) and common side-blotched (*Uta stansburiana*) lizards.

openCC0Jul 2024View details →

Seasonal and annual summary statistics of urbanization, vegetation, land surface temperature, and bioclimatic variables derived from remotely-sensed imagery in areas surrounding long-term bird monitoring locations in the greater Phoenix, Arizona, USA metropolitan area (1997-2023)

This data package consists of 26 years (1998-2023) of environmental data and 22 years (2000-2022) years of bioclimatic data associated with CAP-LTER long-term point-count bird censusing sites (https://doi.org/10.6073/pasta/4777d7f0a899f506d6d4f9b5d535ba09), temporally aggregated by year and by four meteorological seasons (Winter, Spring, Summer, Fall). The environmental variables include land surface temperature (LST), three spectral indices of vegetation and water – the normalized difference vegetation index (NDVI), the soil adjusted vegetation index (SAVI), and modified normalized difference water index (MNDWI) – and four spectral indices of impervious surface/urbanization. Impervious surface indices include the normalized difference built-up index (NDBI), the normalized difference impervious surface index (NDISI), the enhanced normalized differences impervious surface index (ENDISI), and the normalized impervious surface index (NISI). LST and all spectral indices were derived from annual and seasonal composites of 30-m resolution Landsat 5-9 Level-2 Surface Reflectance imagery. The seven bioclimatic variables (e.g., air temperature, precipitation) were sourced from 1-km resolution gridded estimates of daily climatic data from NASA Daymet V4. We created temporally-aggregated Daymet raster images by calculating mean pixel-values for each season and year, as well as seasonally and annually summed precipitation. We summarized the values of each environmental variable by generating variously-sized (100-m, 500-m, 1000-m) buffers around each bird point count location and extracting weighted mean values of each environmental variable, with each pixel's values weighted by the proportion of its area falling within the buffer. All imagery retrieval and data processing were completed with Google Earth Engine (Gorelick et al. 2017) and program R. A complete description of data processing methods, including the aggregation of imagery by year and season and the calculation of s

zenodo48/100

Data from: Structure and dynamics of secondary and mature rainforests: insights from South Asian long-term monitoring plots

1) DESCRIPTION  The dataset contains annual woody stems (shrubs and trees) census data collected from two long-term ecological monitoring plots spanning one hectare each in the Anamalai Hills of the Southern Western Ghats, India. These two plots represent one situated in a mature forest located within relatively undisturbed rainforest of the Anamalai Tiger Reserve (ATR) and one in secondary forest on the Valparai Plateau, respectively. Both plots have been censused and measured from 2017 to 2022 following the standardized protocol (RAINFOR-GEM, Marthews et al. 2014). 2) CONTACTS CONTACT #1 1. Name: Akhil Murali 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 82812 97441 4. Email address: akhil@ncf-india.org 5. ORCID: 0000-0001-6149-6458 CONTACT #2 1. Name: Srinivasan Kasinathan 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: srini@ncf-india.org 5. ORCID: 0000-0001-7323-6653  CONTACT #3 1. Name: Kshama Bhat 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: kshama@ncf-india.org 5. ORCID: 000-0002-6190-2687 CONTACT #4  1. Name: Jayashree Ratnam  2. Work Address: National Centre for Biological Sciences, TIFR, Bellary Road, Bengaluru 560065, Karnataka, India 3. Work Phone: +91 80 23666001  4. Email address: jratnam@ncbs.res.in  5. ORCID: 0000-0002-6568-8374 CONTACT #5 1. Name: Mahesh Sankaran  2. Work Address: National Centre for Biological Sciences, TIFR, Bellary Road, Bengaluru 560065, Karnataka, India 3. Work Phone: +91 80 23666001 4. Email address: mahesh@ncbs.res.in  5. ORCID: 0000-0002-1661-6542 CONTACT #6 1. Name: Divya Mudappa 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: divya@ncf-india.org 5. ORCID: 0000-0001-9708-4826 CONTACT #7 1. Name: T. R. Shankar Raman 2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: trsr@ncf-india.org 5. ORCID: 0000-0002-1347-3953 CONTACT #8 1. Name: Anand M Osuri  2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India 3. Work Phone: +91 821 2515601 4. Email address: aosuri@ncf-india.org  5. ORCID: 0000-0001-9909-5633 3) GEOGRAPHIC COVERAGE and SITE DESCRIPTION a) Site type: : Tropical Forest b) Geography: : Anamalai Tiger Reserve, Southern Western Ghats. c) Habit: : Mid elevation Wet evergreen Forest d) Site History: :  i) MANAMBOLI- The Mature Forest plot (10.357748° N, 76.889747° E; 825 m asl) is situated within a relatively undisturbed 200-hectare mid-elevation tropical wet evergreen rainforest tract at the core of the Anamalai Tiger Reserve (ATR). This area has been protected from logging and other significant disturbances since its establishment as a protected area in 1979. ii) CANDURA- The Secondary Forest plot (10.30855411° N, 76.83391853° E; 875 m asl) is situated within a 124-hectare rainforest remnant on the Valparai Plateau: the Candura rainforest remnant. The Candura site experienced episodic selective logging in the 1990s and early 2000s, with the last logging episode occurring in 2004. In the early 2000s, the understorey of the remnant was cleared for Vanilla (Vanilla planifolia) cultivation in the central and southern parts (abandoned in 2007), robusta coffee (Coffea canephora) in the northwestern corner (abandoned in the early 2000s), and pepper in 21 hectares in the northeastern part (established in 2015, abandoned in 2021). Climate: Humid tropical with about 2400 mm rainfall annually, falling mainly during the southwest monsoon. 4) TEMPORAL COVERAGE a) Begins: 2017-11-30 (Year, Month, Day) b) Ends: 2022-11-12 (Year, Month, Day) 5) SAMPLING DESIGN AND METHODS  a) Plot Design: Each 1 ha plot of 100 m × 100 m, sub-divided into 100 continuous sub-plots of 10 m × 10 m, was surveyed and mapped to maximum accuracy using a theodolite in the field, with grid corners permanently staked.  b) Data collection period and frequency: After the plot establishment in NOvember -- December 2017, the plots were recensused each year (around November).  c) Research Methods: All woody plant individuals with girth at breast height (GBH, at 1.3 m) ≥10 cm were tagged with numbered aluminum tags and spatially mapped. Plant species were identified using standard floral keys. Stem GBH was measured for all single stemmed individuals. For trees with buttresses, the GBH point of measurement (POM) was taken at 50 cm above the buttresses or at the height where the stem is regular. New saplings that recruited into the ≥10 cm GBH class were identified, mapped, tagged, and added to the monitoring. Stems that appeared to be dead were recorded at each monitoring and those that showed no signs of recovery in subsequent visits were recorded as mortality. 6) FILES INCLUDED The dataset includes the following 9 files, whose details and contents are explained below. (Wherever used in the various files, NA implies not available.) 01_README.txt Metadata (this file) including information on the dataset explaining associated files and their contents. 02_Candura_annual_census.csv  This contains the Annual census data with the following column headings:  site: Site name (Can = Candura) cno: Census Number (1 = 2017, 2 = 2018..., 6 = 2022) ymd: Date in DD-MM-YYYY format (Day Month Year) gno: Grid Number tno: Unique tag number for the plant pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes lx: X coordinate of tree in the 10 m × 10 m subplot (in metres) ly: Y coordinate of tree in the 10 m × 10 m subplot (in metres) ht1: Point of measurement at 1.3 m above the ground or 50 cm above the top of the highest buttress or stilt root (POM1) c1: Alive status of the stem at the POM1 (coded according Marthews et al. 2014, page: 97) g1: Stem girth at POM1 (in centimetre) ht2: 20 cm above the ht1 or point of measurement 2 (POM2) recording girth at which the dendroband is attached c2: Alive status of the stem at the POM2 (coded acording Marthews et al. 2014, page: 97) g2: Girth at POM2 (in centimetre) dyn: whether the dendroband is attached to the tree or not (y-Yes, n-No) da: alive status of stem (d-dead,a-alive) remarks: remarks or notes 03_Manamboly_annual_census.csv This contains Annual census data with the following column headings:  site: Site name (Man = Manamboli) cno: Census Number (1 = 2017, 2 = 2018..., 6 = 2022) ymd: Date in DD-MM-YYYY format (Day Month Year) gno: Grid Number tno: Unique tag number for the plant pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes lx: X coordinate of tree in the 10 m × 10 m subplot (in metres) ly: Y coordinate of tree in the 10 m × 10 m subplot (in metres) ht1: Point of measurement at 1.3 m above the ground or 50 cm above the top of the highest buttress or stilt root (POM1) c1: Alive status of the stem at the POM1 (coded according Marthews et al. 2014, page: 97) g1: Stem girth at POM1 (in centimetre) ht2: 20 cm above the ht1 or point of measurement 2 (POM2) recording girth at which the dendroband is attached c2: Alive status of the stem at the POM2 (coded acording Marthews et al. 2014, page: 97) g2: Girth at POM2 (in centimetre) dyn: whether the dendroband is attached to the tree or not (y-Yes, n-No) da: alive status of stem (d-dead,a-alive) remarks: remarks or notes 04_Candura_vernier.csv This file has the girth measurement of trees with lianas where digital vernier calipers were used to measure stem diameter since it was not possible to measure stem girth using measuring tape. site: Site name (Can = Candura) cno: Census Number ymd: Date in DD-MM-YYYY format (Day Month Year) gno: Grid Number tno: Unique tag number for the plant pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes vern1_d1 First measure of diameter at POM1 (in millimetre)  vern2_d1 Second measure of diameter at POM1 (in millimetre)  vern3_d1 Third measure of diameter at POM1 (in millimetre)  calc_g1: Girth at POM1 (in centimetre; calculated using the averaged value as diameter from the three measurements) vern1_d2 First measure of diameter at POM2 (in millimetre)  vern2_d2 Second measure of diameter at POM2 (in millimetre)  vern3_d2 Third measure of diameter at POM2 (in millimetre)  calc_g2 Girth at POM2 (in centimetre; calculated using the averaged value as diameter from the three measurements) Remarks Remarks and notes 05_Manamboli_vernier.csv This file has the girth measurement of trees with lianas where digital vernier calipers were used to measure stem diameter since it was not possible to measure stem girth using measuring tape. site: Site name (Man = Manamboli) cno: Census Number ymd: Date in DD-MM-YYYY format (Day Month Year) gno: Grid Number tno: Unique tag number for the plant pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes vern1_d1 First measure of diameter at POM1 (in millimetre)  vern2_d1 Second measure of diameter at POM1 (in millimetre)  vern3_d1 Third measure of diameter at POM1 (in millimetre)  calc_g1: Girth at POM1 (in centimetre; calculated using the averaged value as diameter from the three measurements) vern1_d2 First measure of diameter at POM2 (in millimetre)  vern2_d2 Second measure of diameter at POM2 (in millimetre)  vern3_d2 Third measure of diameter at POM2 (in millimetre)  calc_g2 Girth at POM2 (in centimetre; calculated using the averaged value as diameter from the three measurements) Remarks Remarks and notes 06_Candura_Height_data.csv This contains data on the heights of individual trees in plot as measured in 2018. site: Site name (Can = Candura) ymd: Date in YYYY/MM/DD format (Year Month Day) gno: Grid Number:  tno: unique tag number:  pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes:  lx: X coordinate of tree in the 10 m × 10 m subplot (in metres) ly: Y coordinate of tree in the 10 m × 10 m subplot (in metres) height: Height of tree in metres remarks: Remarks: and notes 07_Manamboli_Height_data.csv This contains data on the heights of individual trees in plot as measured in 2018. site: Site name (Man = Manamboli) ymd: Date in YYYY-MM-DD format (Year Month Day) gno: Grid Number:  tno: unique tag number:  pno: Pole Number (unique alphabetic code for each stem of multi-stemmed individuals) sps: Species name as codes:  lx: X coordinate of tree in the 10 m × 10 m subplot (in metres) ly: Y coordinate of tree in the 10 m × 10 m subplot (in metres) height: Height of tree in metres remarks: Remarks: and notes 08_Species_name_match.csv This file provides the combined list of species codes updated taxonomy and successional guild. Scientific names were updated to current taxonomy using the species name matching tool of the Global Biodiversity Information Facility, GBIF (www.gbif.org). sps: Species codes query : Scientific name of the plant at the time of data collection:  scientificName: : with auther citation:  key: GBIF key rank: Taxonomic rank or level of identification (GENUS, SPECIES) kingdom: Taxonomic Kingdom (plants) provided by GBIF name matching tool:  phylum: Taxonomic Phylum provided by GBIF name matching tool class: Taxonomic Class provided by GBIF name matching tool order: Taxonomic Order provided by GBIF name matching tool family: Taxonomic Family provided by GBIF name matching tool genus: Taxonomic Genus provided by GBIF name matching tool botanical_name: Updated scientific name of the species provided by GBIF name matching tool habt_new: Successional guild of the species (Mature = mature forest species; Secondary = secondary successional species; Int - Introduced species) 09_R_scrpt_for_manuscript.R Text file with code in the R statistical and programming environment (www.r-project.org). Reference Marthews TR, Riutta T, Oliveras Menor I, Urrutia R, Moore S, Metcalfe D, Malhi Y, Phillips O, Huaraca Huasco W, Ruiz Jaén M, Girardin C, Butt N, Cain R and colleagues from the RAINFOR and GEM networks (2014). Measuring Tropical Forest Carbon Allocation and Cycling: A RAINFOR-GEM Field Manual for Intensive Census Plots (v3.0). Manual, Global Ecosystems Monitoring network, http: //gem.tropicalforests.ox.ac.uk/.

opencc-by-4.0Dec 2023View details →

openCC (other)Jan 2025View details →

Long term egg thiamine monitoring in salmonid populations in California; 2020-2023

Monitoring of egg thiamine levels was initiated in California salmon and steelhead hatcheries in 2020 after thiamine deficiency complex (an insufficiency of vitamin B1) was first documented in this system resulting in widespread mortality of juvenile salmonids. Unfertilized eggs (~10g) from mature adult females were collected from populations of Chinook salmon ( Oncorhynchus tshawytscha ), steelhead ( Oncorhynchus mykiss ), and coho salmon ( Oncorhynchus kisutch ) across California to assess thiamine concentrations. Concurrent fork length, weight, as well as coded wire tag recovery information for Central Valley samples was recorded alongside egg thiamine concentration levels. Additionally, laboratory investigations have been undertaken to uncover the relationship between Chinook salmon egg thiamine concentration and the survival of offspring. From these findings we have understood the potential population-level impacts of thiamine-dependent Chinook salmon fry mortalities based on egg surveillance data. The annual monitoring of eggs from salmonid species in both Central Valley and coastal populations serves as a critical component in comprehending the prevalence, magnitude, and trends of this deficiency among California salmonids. This dataset is focused on supporting research and providing annual data to inform the public and resource managers responding to this emerging threat. Given the value of this information to managing salmonid resources and treatments, we expect this monitoring to continue into the future as funding allows.

openOpenAug 2021View details →

SGS-LTER Long-Term Monitoring Project: Vegetation Cover on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/140/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and plant community composition on the three grassland and three shrubland trapping webs where we live-trap small mammals

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SGS-LTER Long-term Monitoring Project: Spotlight Rabbit Count on the Central Plains Experimental Range, Nunn, Colorado, USA 1994-2006, ARS Study Number 98 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/136/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83448. Rabbits are the most important small-mammal herbivores in shortgrass steppe, and may significant influence the physiognomy and population dynamics of herbaceous plants and woody shrubs. Rabbits also are the most important prey of mammalian carnivores such as coyotes and large raptors such as golden eagles and great horned owls. Two hares (Lepus californicus, L. townsendii) and one cottontail rabbit (Sylvilagus audubonii) occur in shortgrass steppe. In 1994, we initiated long-term studies to track changes in relative abundance of rabbits on the Central Plains Experimental Range (CPER). On four nights each year (one night each season, usually on new moon nights in January, April, July, October), we drove a 32-km route consisting of pasture two-track and gravel roads on the CPER. This wa

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SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/137/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83452. Small mammals (rabbits, rodents) are integral components of semiarid ecosystems because of their roles as consumers of plants, seeds and arthropods, as soil disturbance agents, and as food for raptors, snakes and mammalian carnivores. Because of their vagility and intermediate trophic position, populations of small mammals may track changes in vegetation and the abiotic environment that may result from shifts in land-use and other anthropogenic disturbances. However, these populations are variable over space and time, and their response to environmental changes may not be immediately apparent given their behavioral flexibility and relatively long life-spans and generation times. Patterns in the distribution and abundance of small mammals thus may simultaneously reflect and affect the