SEED-Data-Edit

SEED-Data-Edit is a hybrid dataset for instruction-guided image editing with a total of 3.7 image editing pairs, which comprises three distinct types of data: Part-1: Large-scale high-quality editing data produced by automated pipelines (3.5M editing pairs). Part-2: Real-world scenario data collected from the internet (52K editing pairs). Part-3: High-precision multi-turn editing data annotated by humans (95K editing pairs, 21K multi-turn rounds with a maximum… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Data-Edit.

Ecosystem engineers alter the evolution of seed size by impacting fertility and the understory light environment

https://doi.org/10.5061/dryad.931zcrjw4

Description of the data and file structure

We use isotopic data from Graham et al 2019 and from Ehleringer et al 1986 to predict understory light differences. We used data from Baraloto et al 2005 to establish relationships between seed size, height and survivability under different light conditions. We use results from Faucet et al 2017 to predict vertical light profiles along a disturbance gradient and results from Montgomery 2004 to predict light profiles in the bottom meter of the canopy. We use data from COALQUAL (CQ20166334750) (Palmer et al., 2015) to show chemical differences between time periods following the methodology from Doughty 2017 (Doughty, 2017).

Files and variables

File: all_paleo_data.mat

Description: Data from various papers listed below to crea...

The Forest Response to Stress and Damage (frequently referred to as FORSTAD) and long term forest monitoring project began in 1992 to study how mixed-oak forests respond to multiple forms of environmental change. The research took place at Cary Institute of Ecosystem Studies in the Hudson Valley of New York. FORSTAD included several sub-projects including (1) air pollution and nutrient cycling, (2) spongy moth population dynamics, (3) small mammal dynamics and (4) vegetation dynamics. This dataset is a contribution to the Cary Institute of Ecosystem Studies, and is part of the Long term monitoring of forest ecosystems: Cary vegetation dynamics archive.Vegetation dynamics: To understand the impacts of anthropogenic stressors on forest trees, measurements were made of aspects of trees that had to do with the condition and survival of trees. The measurements included the size and species of trees in designated plots in the forest, the size and species of saplings in smaller subplots, the quantity of seeds produced by trees using seed traps and the predation of seeds and survival of seedlings in subplots. Canopy defoliation levels were recorded via fisheye canopy photography on the 20 vegetation monitoring plots, and on other plots used specifically for spongy moth or small mammal monitoring. The vegetation data were used for direct analysis of change in forest structure and composition, and also to parameterize a computer model of vegetation dynamics, which was used as a research and management tool. Datasets include:• Canopy census – species composition, age & size structure of trees, reproductive status & condition of canopy• Canopy condition & leaf area index via fisheye camera photos• Seed production• Seed predation• Seedling survival and growth• Mapping of all plots, trees, seed & seedling data collection plots• Deer & small mammal exclosure census• Soil moistureThe data included here are data from seed traps in Cary Forest Plots and Yellow and Red Control Grids. Note that data collection continued after the end of the FORSTAD project first under the research program of Gary Lovett, then under the research program of Rick Ostfeld. Data collection continues to be collected annually as of 2024. Note also that the archived seeds were discarded around 2017 but newly collected seeds have been archived at Cary Institute.File list:FORSTAD_Seed_Production_Metadata_1992_2005.pdf -contains complete project metadata, personnel, methodology, and definitions for data variables in all data files.FORSTAD_Seed_Production_Cary_Forest_Plots_1992_2000.csvFORSTAD_Seed_Production_Grid_Sites_1992_2005.csvFORSTAD_Protocol_Seed_Rain_1997.pdfFORSTAD_Protocol_Seed_Rain_1999.pdfSee Related Materials for more data from the FORSTAD vegetation sub-project.

X2Edit

  Introduction

X2Edit Dataset is a comprehensive image editing dataset that covers 14 diverse editing tasks and exhibits substantial advantages over existing open-source datasets including AnyEdit, HQ-Edit, UltraEdit, SEED-Data-Edit, ImgEdit and OmniEdit. For the relevant data construction scripts, model training and inference scripts, please refer to X2Edit.

  News

2025/09/16: We are about to release a dataset constructed by Qwen-Image and… See the full description on the dataset page: https://huggingface.co/datasets/OPPOer/X2Edit-Dataset.

Data for: Estimated missing interactions change the structure and alter species roles in one of the world’s largest seed-dispersal networks

Description of the data and file structure

There are two kinds of files here:

1) Two R scripts, one for each method, that detail the working of each the method and allow its reproduction.

2) 5 Data files needed to run the above scripts. The show 3 types of data:

a) The bird_phylo and plant_phylo are phylogenetic trees for the birds and plant species, respectively.

b)The atlantics_info file is a table with all frugivory interactions recorded through the literature. The "int_s" column show how many studies recorded that particular interaction, while the "n.studies" column show how many studies recorded the two species, interacting or not. The "freq" column is the division of the "int_s" column by the "n.studies". "bird.gape" and "seed.size" column show the mean bird gape size and mean seed length (both in millimeters) for those species.

...

Whitebark pine is considered a “keystone species” mountain national parks, as it plays several important ecological roles where it exists in subalpine environments. Its survival has been threatened by the combined effects of fire suppression, climate change, mountain pine beetle outbreaks and a disease known as white pine blister rust. In 2015, vegetation staff collected cones from seven putatively resistant whitebark pine trees in the Bald Hills area of Glacier National Park. The seeds from these trees were sent to a nursery to be extracted, stratified, germinated, and grown into seedlings. A subset of those seeds were grown for testing in blister rust resistance trials, and the remaining seeds went to the BC Seed Centre’s seed bank. After two years, some seedlings were ready for planting and were planted at the 2003 burn site on St. Cyr in the northwest region of Mount Revelstoke National Park.

Seed weight and seedling survivalVariables: id: unique identifier of individual seed/seedling, letter indicates the country of origin and the number is the unique seed number. 300 cases. A = Australia, B = England, C = Corsica, CH = Chile, F = France, NZ = New Zealand, S = Switzerland, U = USA. weight: seed weight in mg. country: identifier of country of origin of seeds, 8 cases. AUS = Australia, CHILE = Chile, CORS = Corsica, ENG = England, FRA = France, NZ = New Zealand, SW = Switzerland, USA = USA. range: identifier of native or exotic status of seed origin, two cases. Native = native range, Exotic = exotic/non-native range. block: identifier of experimental block, 4 blocks. days: day number with day = 1 indicating germination of the seed and entry of the seedling into the experiment. Each date that the seedling was observed as alive added an additional number of days to this number. This column was derived from the date column where observation dates are recorded. days_post_leaf: ...

This layer shows woody vegetation change based on the analysis of multi-date SPOT5 and Sentinel2 imagery. This analysis was done for the period 2015 and 2016. Woody change is detected though a combination of automated and manual interpretation of the differences between images captured during summer of each year. Satellite images are selected as close as possible to the 1st of January each year and must have a clear view of the ground not impacted by smoke or cloud cover. This requirement can result in a range of imagery dates being selected for each SLATS year. To reflect this, SLATS data naming previously included both years in which imagery was captured, for example 2015-16.

Seed banks, the collection of viable seeds in the soil, are particularly important determinants of population survival in highly variable environments. Predictions of increased stochasticity in the amount and timing of precipitation in desert environments raise the question of how seed banks of desert species will respond to climate change, and ultimately, whether these species will persist. Here, we present data from our long-term studies of germination requirements and seed bank dynamics in a rare desert gypsophile perennial, Arctomecon californica (Las Vegas bearpoppy). Arctomecon californica is a relatively short-lived plant that recruits from seed in sequences of unusually favorable years. We used germination experiments, an in situ seed bank study, and a 15-year field seed retrieval study to examine factors affecting seed bank persistence. In the germination study, a majority of seeds remained dormant, despite a wide variety of treatments, suggesting that a large proportion of the...

This highly specialized publication (Ontario Tree Seed Transfer Policy data) is available in English only in accordance with Regulation 671/92, which exempts it from translation under the French Language Services Act. To obtain information in French, please contact the Ministry of Natural Resources and Forestry at (1-800-667-1940).

The Ontario Tree Seed Transfer Policy ensures that seed used to regenerate forests has a good chance of producing trees that are adapted to their growing environment. It specifies where seed can be collected and used and the conditions under which seed may be transferred.

The data is provided as part of Appendix 1 of the Ontario Tree Seed Transfer Policy. It is available in both table and map formats , and also includes CSV and shape files.

Tabular display

This dataset includes three tables that show the spatial direction of the seed transfer policy based on the climate similarity analysis (refer to Appendix 1 of the policy for information on the climate similarity analysis):

• Table 1. For transitional period: Acceptable seed transfer from the 2010 Seed Zones of Ontario to current seed zones
• Table 2. Acceptable seed transfer from the 2010 Seed Zones of Ontario to ecodistricts
• Table 3. Acceptable seed transfer among ecodistricts

Within the tables, you can click and sort by your location of interest to understand the best seed sources to collect from or deploy to. You can sort by either seed zone or ecodistrict.

The policy recommends a climate similarity of 0.9 or greater to the targeted collection or deployment site.

Visual display

The climate similarity analysis used in developing this policy is also available as an interactive map.

Maps are available to help you make seed collection and deployment decisions, including:

• collecting seed by ecodistrict or county
• deploying seed by ecodistrict
• deploying seed by seed zone

You can also view:

• a detailed map of management unit by seed zone or by ecodistrict
• maps to help you make seed transfer decisions related to growing season, precipitation and temperature

DescriptionThis data is designed to assist preparing the SWMP for projects and supply Maintenance projects that need seed mixtures for work along Region 2 highways. Also, these seed mixtures are available in a digital format in ARC/GIS layer for CDOT’s OTIS Highway Map System. The intended users are Environmental, Engineers, and CDOT maintenance staff. However, there are limitations and assumptions that were considered when developing these seed mixtures. Assistance from the environmental staff is strongly recommended before using a seed mixture. Site specific conditions may require adjustment to the seed mixture(s). The seed mixtures contained in this dataset are designed for the site specific conditions (e.g., soil texture and chemical composition, precipitation, elevation, aspect, etc.) associated with the approximate mile marker along Region 2 highways. Native species were selected for the seed mixtures with few exceptions. The individual plant species were selected based on their adaptions to the site conditions, ability to control erosion, and compatibility to establish a diverse plant community. The species composition of the seed mixture was also based on the recommendations found in the Natural Resources Conservation Service’s (NRCS) “Major Land Resource Areas (MLRA).”(http://www.nrcs.usds.gov)

    Last Update
    2014


    Update FrequencyNot planned


    Data Owner
    Region 2


    Data Contact
    Region 2 Environmental Specialist or Water Pollution Control Manager


    Collection Method



    Projection
    NAD83 / UTM zone 13N


    Coverage Area
    Region 2


    Temporal



    Disclaimer/Limitations
    There are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.

Change-In-Cash Time Series for Winall Hi tech Seed. Winall Hi-tech Seed Co., Ltd. engages in the research and development, breeding, promotion, and service of various crop seeds in China and internationally. It provides pumpkin, vegetable, muskmelon, rapeseed, cotton, wheat, corn, rice, and other crop seeds. The company was founded in 2002 and is based in Hefei, China.

Abstract

Aim: Climate change causes species’ range shifts globally. Terrestrial plant species often lag behind temperature shifts, and it is unclear to what extent animal-dispersed plants can track climate change. Here, we estimate the ability of bird-dispersed plant species to track future temperature change on a tropical mountain.

Location: Tropical elevational gradient (500–3500 m a.s.l.) in the Manú biosphere reserve, Peru

Time period: 1960–1990 to 2061–2080

Taxa: Fleshy-fruited plants, avian frugivores

Methods: Using simulations based on the functional traits of avian frugivores and fruiting plants, we quantified the number of long-distance dispersal (LDD) events that woody plant species would require to track projected temperature shifts on a tropical mountain by the year 2070 under different greenhouse gas emission scenarios (RCP 2.6, 4.5 and 8.5). We applied this approach to 343 bird-dispersed woody plant species.

Results: Our simulations reveal that bird-dispersed pl...

Current Extent The State Vegetation Type Map (SVTM) is a regional-scale map of NSW Plant Community Types. This map represents the current extent of each Plant Community Type, Vegetation Class and Vegetation Formation, across all tenures in NSW. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy. An SVTM pre-clearing PCT map is available here. Further information about the mapping methods is available from the State Vegetation Type Mapping Program Page Current Release C2.0.M2.1 (November2024) This release includes revisions, using the most recent NSW PCT Classification Master list (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release. In addition, changes were made to the Native Vegetation Extent mask which is used to create the Native Extent map. Detailed technical information is available here.

Change-In-Working-Capital Time Series for Sakata Seed Corp. Sakata Seed Corporation produces and sells vegetable and seeds, bulbs, plants, and agricultural and horticultural supplies in Japan and internationally. It also engages in the publication of gardening literature; plant breeding; research and development, and technical consultation of consigned seed production; and designing, management, and contract construction of landscaping, greenhouse, and horticultural facilities. The company was formerly known as T. Sakata & Company and changed its name to Sakata Seed Corporation in January 1986. Sakata Seed Corporation was founded in 1913 and is headquartered in Yokohama, Japan.

This data set is related to a SoyFACE experiment conducted in 2004, 2006, 2007, and 2008 with the soybean cultivars Loda and HS93-4118. The experiment looked at how seed elements were affected by elevated CO2 and yield. In this V2, 2 new files were added per journal requirement. Total there are 5 data files in text format within the digrado_et_al_gcb_data_V2 and 1 readme file. The name of files are listed below. Details about headers are explained in the readme.txt file. 1. ionomic_data.txt file contains the ionomic data (mg/kg) for the two cultivars. The file contains all six technical replicates for each plot. The cultivar, year, treatment, and the plot from which the samples were collected are given for each entry. 2. yield_data.txt file contains the yield data for the two cultivars (seed yield in kg/ha, seed yield in bu/a, Protein (%), Oil (%)). The file contains yield data for every plot. The cultivar, year, treatment, and the plot from which the samples were collected are given for each entry. 3. mineral_pro_oil_yield.txt file contains the yield per hectare for each mineral (g/ha) along with the yield per hectare for protein and oil (t/ha). This was obtained by multiplying the seed content of each element (minerals, protein, and oil) by the total seed yield. The file contains yield data for every plots. The cultivar, year, treatment, and the plot from which the samples were collected are given for each entry. 4. economic_assessment.txt file contains data used to assess the financial impact of altered seed oil content on soybean oil production. 5. meteorological_data.txt file contains the meteorological data recorded by a weather station located ~ 3km from the experimental site (Willard Airport Champaign). Data covering the period between May 28 and September 24 were used for 2004; between May 25 and September 24 were used in 2006; between May 23 and September 17 in 2007; and between June 16 and October 24 in 2008.

Effects of warming on plant reproductive efforts (e.g., number of flowers) and success (e.g., number and mass of fruits and seeds).

This data set provides the date and location of seeds collected for germination and planting as part of the larger experiment in the technical report, "Facilitating Adaptation in Montane Plants to Changing Precipitation along an Elevation Gradient." The species name provided is the Hawaiian name, with the scientific name provided in the column description. The rest of the date is date and time, with elevation and land management area names. Data are provided in shapefile format (.shp) and can be used with ESRI or other spatial mapping software.

See methods in paper

Plants display a range of temporal patterns of inter-annual reproduction, from relatively constant seed production to 'mast seeding', the synchronized and highly variable interannual seed production of plants within a population. Previous efforts have compiled global records of seed production in long-lived plants to gain insight into seed production, forest and animal population dynamics, and the effects of global change on masting. Existing datasets focus on seed production dynamics at the population scale, but are limited in their ability to examine community-level mast seeding dynamics across different plant species at the continental scale. We harmonized decades of plant reproduction data for 141 woody plant species across nine Long-Term Ecological Research (LTER) or long-term ecological monitoring sites from a wide range of habitats across the United States. Plant reproduction data are reported annually between 1957 and 2021 and based on either seed-traps or seed and/or cone counts on individual trees. A wide range of woody plant species including trees, shrubs, and lianas are represented within sites allowing for direct community-level comparisons among species. We share code for filtering of data that enables the comparison of plot and individual tree data across sites. For each species, we compiled relevant life history attributes (e.g., seed mass, dispersal syndrome, seed longevity, sexual system) that may serve as important predictors of mast seeding in future analyses. To aid in phylogenetically-informed analyses, we also share a phylogeny and phylogenetic distance matrix for all species in the dataset. These data can be used to investigate continent-scale ecological properties of seed production, including individual and population variability, synchrony within and across species, and how these properties of seed production vary in relation to plant species traits and environmental conditions. In addition, these data can be used to assess how annual variability in seed production is associated with climate conditions and how that varies across populations, species, and regions.