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Figure 7 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 7 - Eobogidiella venkataramani sp. n., ♂ (?), 6.5 mm, holotype, Jog Falls, Karnataka, India: A pereopod 6 B, C pereopod 3–4 D, E, F pleopods 1–3 G, H, I uropods 1–3 J telson. Pereopods 5 and 7 are missing.

Figure 6 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 6 - Eobogidiella venkataramani sp. n., ♂ (?), 6.5 mm, holotype, Jog Falls, Karnataka, India: A head B left mandible C incisor and lacinia mobilis of right mandible D labium E labrum F, G maxillae 1–2 H maxilliped I lateralia.

Figure 5 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 5 - Eobogidiella venkataramani sp. n., ♂ (?), 6.5 mm, holotype, Jog Falls, Karnataka, India: A habitus from left side B coxae 1–7 C epimeral plates 1–3 D, E gnathopods 1–2.

Figure 3 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 3 - Maximum parsimony strict consensus tree of genera and selected species of Bogidiellidae, ordered analysis. Numbers above branches are Decay/Bremer indices and numbers below branches are bootstrap followed by jackknife support values. Support values less than 50% not displayed. Scale bars indicate number of character state changes. See Suppl. material 2 for original bootstrap and jackknife consensus trees.

Figure 4 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 4 - Maximum parsimony strict consensus tree of genera and selected species of Bogidiellidae, unordered analysis. Numbers above branches are Decay/Bremer indices and numbers below branches are bootstrap followed by jackknife support values. Support values less than 50% not displayed. Scale bars indicate number of character state changes. See Suppl. material 3 for original bootstrap and jackknife consensus trees.

Figure 1 from: Sidorov DA, Katz AD, Taylor SJ, Chertoprud MV (2016) A reassessment of the phylogenetic utility of genus-level morphological characters in the family Bogidiellidae (Crustacea, Amphipoda), with description of a new species of Eobogidiella Karaman, 1981. ZooKeys 610: 23-43. https://doi.org/10.3897/zookeys.610.9100

Figure 1 - Geographic distribution of Eobogidiella venkataramani sp. n. (circle) and Eobogidiella purmamarcensis (Grosso & Ringuelet, 1979) (square).

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MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 0.05º Geographic Grid Since 1981

The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>). This dataset is the MUSES global FAPAR product at 0.05º spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on Geographic grid and spans from 1981 to 2019 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao et al., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. Dataset Characteristics: <ul> <li>Spatial Coverage: 180º W – 180º E, 90º S – 90º N;</li> <li>Temporal Coverage: 1981 – 2019;</li> <li>Spatial Resolution: 0.05º (approximately 5 km);</li> <li>Temporal Resolution: 8 days;</li> <li>Projection: Geographic;</li> <li>Data Format: HDF;</li> <li>Scale: 0.004;</li> <li>Valid Range: 0 – 250.</li> </ul> Citation (Please cite this paper whenever these data are used): <ol> <li>Xiao Zhiqiang, et al., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. Remote Sensing of Environment, 171,105-117, 2015.</li> <li>Xiao Zhiqiang, et al., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. IEEE Transactions on Geoscience and Remote Sensing, 56, 5509-5524, 2018.</li> <li>Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. Remote Sensing, 14, 3304, 2022.</li> </ol> If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).

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MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 0.05º Geographic Grid Since 1981

The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>). This dataset is the MUSES global FVC product at 0.05º spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on Geographic grid and spans from 1981 to 2018 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao et al., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. Dataset Characteristics: <ul> <li>Spatial Coverage: 180º W – 180º E, 90º S – 90º N;</li> <li>Temporal Coverage: 1981 – 2018;</li> <li>Spatial Resolution: 0.05º (approximately 5 km);</li> <li>Temporal Resolution: 8 days;</li> <li>Projection: Geographic;</li> <li>Data Format: HDF;</li> <li>Scale: 0.004;</li> <li>Valid Range: 0 – 250.</li> </ul> Citation (Please cite this paper whenever these data are used): <ol> <li>Xiao Zhiqiang, et al. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. Remote Sensing, 8, 337.</li> </ol> If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).

LTER Oyster Landing Biweekly Fish Sampling in Oyster Landing Creek, North Inlet Estuary, Georgetown, South Carolina, from 1981 to 1992, North Inlet LTER

This data package consists of Biweekly Fish Sampling data in Oyster Landing Creek, North Inlet Estuary, Georgetown, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose for the long term study of the population dynamics of fish, shrimp, and crab in the North Inlet estuary are: 1) to discover the abundance, distribution and life history patterns of these organisms which occur in this area; 2) to maintain long-term population information so it can be used to compare with future short-term fish population studies proposed by investigators from USC and other universities, as well as investigators at the Baruch Laboratory; and 3) to relate this population information to the population dynamics of zooplankton, epibenthos, benthic macrofaua, and meiofauna.

Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER

This data package consists of Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose of the long term monitoring of zooplankton was to characterize the fauna in the water column larger than or equal to 153 microns and to obtain some basic information on each of the taxa encountered there. A sampling regime of collections made at regular biweekly intervals was implemented to provide the best quantitative assessment of long term changes in the zooplankton population dynamics.

LTER Epibenthos Sampling Data for North Inlet Estuary, Georgetown, South Carolina from 1981 to 1992, North Inlet LTER

This data package consists of Epibenthos Sampling for North Inlet Stations Bread and Butter Creek, from 1981 to 1992, and Debidue Creek from 1981 to 1984, The purpose of the long term monitoring of Epibenthos was to determine seasonal and inter-annual changes in the taxonomic/life stage composition and abundance of small motile epibenthic invertebrates and fishes (1-20 mm in length) in the major sub- tidal habitats of North Inlet estuary.

Suspended Sediment. Daily Water Sample Parameter, and Sediment Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER

This data package consists of Daily Water Sample Parameter, and Sediment Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose of this study was to to establish a long term data base on the Sediment dynamics of a salt marsh estuarine system. These data can be used in correlation with a number of other estuarine data sets to obtain a broader definition of the overall estuarine ecosystem.

Macrobenthos Sampling data for the North Inlet Estuary, Georgetown,South Carolina, from 1981 to 1992 North Inlet LTER

This data package consists of Macrobenthos Sampling Data for North Inlet Stations Bread and Butter Creek from 1981 to 1992, and Debidue Creek from 1981 to 1984, North Inlet LTER. The purpose of this study was to document the composition and abundance of macrobenthic subtidal populations over time at one mud and one sand site. Macrobenthos was defined here as those animals retained on a 0.5 mm mesh screen.

NPP Grassland: Tumugi, China, 1981-1990, R1

This data set contains four ASCII files (.txt format). Three files contain monthly above- and below-ground biomass data, one data file for each cold meadow steppe studied from 1981 to 1990 at Tumugi, Xingan League, in eastern Inner Mongolia, China (approximately 46.10 N 123.00 E Elevation 191 m). The fourth file contains climate data recorded at a weather station located in the study area for the length of the study.The Tumugi study sites consist of three different natural steppes dominated by Filifolium sibiricum, Stipa baicalensis, and Leymus chinense, respectively. Measurements of above- and below-ground live biomass were made monthly throughout the growing season (March to November) by clipping 1.0 m2 quadrats and sampling 1.0 m2 soil pits to a depth of 1.0 m, respectively. The study areas had been protected from grazing since 1976.Above-ground net primary productivity (ANPP) was estimated at 155 g/m2/year (average for the three steppes, based on peak above-ground living biomass). Peak live below-ground biomass was used to estimate below-ground net primary productivity (BNPP): 968 g/m2/year for the F. sibiricum steppe; 983 g/m2/year the Stipa baicalensis steppe; and 1,022 g/m2/year for the L. chinense steppe. Above- and below-ground biomass data were compared with simulation results from the CENTURY model. Simulated data agreed reasonably well with the observed data (within +25%).

NPP Grassland: Media Luna, Argentina, 1981-1983, R1

This data set contains two ASCII files (.txt format). One file provides monthly above-ground live biomass, dead matter, and litter data and daily above-ground net primary productivity (ANPP) data for a temperate grassland steppe at the Media Luna Ranch in Patagonia, Argentina (45.60 S, 71.42 W, Elevation 630 m) for the period May 1981 to March 1983. The second file contains climate data recorded at Media Luna Ranch from 1981 through 1985. Productivity of the steppe was monitored at monthly or bi-monthly intervals during two growing seasons. The ANPP measurement presented here is the sum of the increase in above-ground live biomass, dead matter, and litter. ANPP was estimated to be 0.00-0.15 g/m2/day in winter months (May-September) and 0.22-0.94 g/m2/day in the warmer months. Annual ANNP was estimated to be 35 g/m2/year. The study site is a 2.5-hectare exclosure situated on the Rio Mayo terraces. The steepe represents one of the most important grassland areas of Patagonia which occupy a narrow belt in the foothills of the Andes. The region has been over-grazed by introduced livestock since the early 1900s, and is currently used for sheep production.

Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022

This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI). NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0.0833 degree and global coverage for 1982 to 2022. Maximum NDVI values are reported within twice monthly compositing periods (two values per month). The dataset was assembled from different AVHRR sensors and accounts for various deleterious effects, such as calibration loss, orbital drift, and volcanic eruptions. The data are provided in NetCDF format.

NWS Daily Climatology Data: 1981 (SNF)

Weather data were collected by the National Weather Service in International Falls, Minnesota. International Falls is about 80 miles from the SNF, but the weather data is representative of the area. Total solar insolation measurements were made at Fall Lake Dam in Winton, Minn. by Prof. Donald Baker of the Department of Soil Science at the University of Minnesota, St. Paul. Insolation values were measured using a Yellow Springs solar cell calibrated against an Eppley Pyranometer.

ISLSCP II GIMMS Monthly NDVI, 1981-2002

The Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 22-year satellite record of monthly changes in terrestrial vegetation. This data set contains three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude with data from July 1981 through December 2002. New features include reduced NDVI variations arising from calibration, view geometry, volcanic aerosols, and other effects not related to actual vegetation change. In particular, NOAA-9 descending node data from September 1994 to January 1995, volcanic stratospheric aerosol correction for 1982-1984 and 1991-1994, and improved NDVI using empirical mode decomposition/reconstruction (EMD) to minimize effects of orbital drift. Global NDVI was generated to provide inputs for computing the time series of biophysical parameters contained in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II collection. NDVI is used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface.

Global Monthly Mean Leaf Area Index Climatology, 1981-2015

This dataset provides a global 0.25 degree x 0.25 degree gridded monthly mean leaf area index (LAI) climatology as averaged over the period from August 1981 to August 2015. The data were derived from the Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling and Mapping Studies (GIMMS) LAI3g version 2, a bi-weekly data product from 1981 to 2015 (GIMMS-LAI3g version 2). The LAI3g version 2 (raw) data were first regridded from 1/12 x 1/12 degree to 0.25 x 0.25 degree resolution, then processed to remove missing and unreasonable values, scaled to obtain LAI values, and the bi-weekly LAI values were averaged for every month. Finally, the monthly long-term mean LAI (1981-2015) was calculated.