cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hrvfaz
title: Occurrence Download

description: A dataset containing 21722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((126.36139 28.39957,131.09348 36.52181,129.82217 39.13506,127.56204 45.06781,123.32437 47.68106,103.97225 40.97138,94.64934 33.34354,83.06633 32.9904,71.76582 36.38055,70.14137 25.57444,72.40148 10.24813,77.62795 7.1405,85.67957 14.90959,102.34781 9.32997,115.20214 10.81316,118.16852 18.441,124.52505 21.76053,126.36139 28.39957))",
 "TaxonKey is Broussonetia papyrifera"
 ]
}

 The dataset includes 21722 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032113-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/iqmhlu
title: msXL_323v_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/wjt5zp
title: msXL_323v_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/eimjny
title: msXL_323v_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/jhofpa
title: msXL_323v_MMSI+RTI+Arc_D06_072_F.tif
DOI: 10.25346/s6lqjm3j/2iy7mh
title: msXL_323v_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/epbzof
title: msXL_323v_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/ymh6of
title: msXL_323v_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/lpil9d
title: msXL_323v_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/9y4j43
title: msXL_323v_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/ddvwkd
title: msXL_323v_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/j6sf8g
title: msXL_323v_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/0d3e28
title: msXL_323v_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/7p3c6d
title: msXL_323v_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/cuexoy
title: msXL_323v_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/fl7bbv
title: msXL_323v_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/tp6x6z
title: msXL_323v_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/fkkxpe
title: msXL_323v_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/eufadj
title: msXL_323v_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/iiatyk
title: msXL_323v_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/xtdvso
title: msXL_323v_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/bo0y2j
title: msXL_323v_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/4wp5pp
title: msXL_323v_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/ae8h3d
title: msXL_323v_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/cizy90
title: msXL_323v_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/xf4vda
title: msXL_323v_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/g0zqpi
title: msXL_323v_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/bungva
title: msXL_323v_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/f3kdt3
title: msXL_323v_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/nqkpoc
title: msXL_323v_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/nkadpx
title: msXL_323v_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.15468/dl.uspmvp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 20.99913, -106.7688 20.99913, -106.7688 21.14913, -106.9188 21.14913, -106.9188 20.99913))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032114-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/vgxlke
title: msXL_323v_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/ydwrnj
title: msXL_323r_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/3imfb8
title: msXL_323r_MMSI+RTI+W505665_040_F.tif
DOI: 10.25346/s6lqjm3j/8a6nmx
title: msXL_323r_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/ry3htj
title: msXL_323r_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/hcc0ly
title: msXL_323r_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/wsimdj
title: msXL_323r_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/vpthoq
title: msXL_323r_MMSI+RTI+W400G58_033_F.tif
DOI: 10.25346/s6lqjm3j/fc2tcd
title: msXL_323r_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/wcccyh
title: msXL_323r_MMSI+RTI+W385R25_028_F.tif
DOI: 10.15468/dl.pe2uyt
title: Occurrence Download

description: A dataset containing 7253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((152.66981 41.55761,112.2705 46.64284,69.32854 29.9746,80.91152 2.57089,131.19876 -23.13769,154.36475 -42.34855,163.68772 -32.46066,156.90737 -11.55471,152.66981 41.55761))",
 "TaxonKey is Maclura cochinchinensis"
 ]
}

 The dataset includes 7253 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032115-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/mxaga5
title: msXL_323r_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/yhh5qh
title: msXL_323r_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/cgfihs
title: msXL_323r_MMSI+RTI+W365R25_027_F.tif
DOI: 10.25346/s6lqjm3j/xe0gqb
title: msXL_323r_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/zznlkg
title: msXL_323r_MMSI+RTI+W365B47_035_F.tif
DOI: 10.25346/s6lqjm3j/ylul0j
title: msXL_323r_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/yrkxl2
title: msXL_323r_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/avddak
title: msXL_323r_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/ynu5ju
title: msXL_323r_MMSI+RTI+TX615IR_023_F.tif
DOI: 10.25346/s6lqjm3j/blb3oa
title: msXL_323r_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/1aaobl
title: msXL_323r_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/l3ivwq
title: msXL_323r_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/u7wava
title: msXL_323r_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/38temm
title: msXL_323r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/xoetdt
title: msXL_323r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/vxakha
title: msXL_323r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/3jlmiz
title: msXL_323r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/oden4q
title: msXL_323r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/i0e3md
title: msXL_323r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/jw6fqn
title: msXL_323r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/mrm1hz
title: msXL_323r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/kzsw1x
title: msXL_323r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/zrfi2p
title: msXL_323r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.5281/zenodo.17594313
title: Laboratory-measured soil gas diffusivity as a function of air-filled porosity for straight pores ( 0 degrees from vertical) and inclined (45 degrees from vertical)

description: This dataset contains laboratory-measured values of soil gas diffusivity (Dp) and corresponding air-filled porosity (εa) used to investigate gas transport dynamics in porous media. Measurements were performed under controlled laboratory conditions using manufactored samples, without site-specific context. The dataset supports the manuscript currently under review in Water Resources Research entitled “A Complex-Plane Representation of  Gas Diffusivity in Fractured Media.”

 

Sample preparation: fabricated  samples of known pore volume

Measurement: Diffusivity determined using a steady-state gas diffusion apparatus 

Temperature:  20 °C.

Replicates: Each data point represents the mean of replicate measurements.
DOI: 10.5281/zenodo.17594314
title: Laboratory-measured soil gas diffusivity as a function of air-filled porosity for straight pores ( 0 degrees from vertical) and inclined (45 degrees from vertical)

description: This dataset contains laboratory-measured values of soil gas diffusivity (Dp) and corresponding air-filled porosity (εa) used to investigate gas transport dynamics in porous media. Measurements were performed under controlled laboratory conditions using manufactored samples, without site-specific context. The dataset supports the manuscript currently under review in Water Resources Research entitled “A Complex-Plane Representation of  Gas Diffusivity in Fractured Media.”

 

Sample preparation: fabricated  samples of known pore volume

Measurement: Diffusivity determined using a steady-state gas diffusion apparatus 

Temperature:  20 °C.

Replicates: Each data point represents the mean of replicate measurements.
DOI: 10.25346/s6lqjm3j/ryaffc
title: msXL_323r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/iou2k8
title: msXL_323r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/z2exfb
title: msXL_323r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/uhu2hu
title: msXL_323r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/fm3ymg
title: msXL_323r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/m5rmw7
title: msXL_323r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/ry7q41
title: msXL_323r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/374owc
title: msXL_323r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/xissob
title: msXL_323r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/wgaw4u
title: msXL_323r_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/vheivd
title: msXL_323r_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.25346/s6lqjm3j/rcorh4
title: msXL_323r_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.25346/s6lqjm3j/5jq4oe
title: msXL_323r_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/lx9jrx
title: msXL_323r_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/zokaym
title: msXL_323r_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/e8mo6f
title: msXL_323r_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/97xavu
title: msXL_323r_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/sd6z1y
title: msXL_323r_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.25346/s6lqjm3j/lh3duj
title: msXL_323r_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.25346/s6lqjm3j/d4c7jw
title: msXL_323r_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.25346/s6lqjm3j/gg5cyk
title: msXL_323r_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/zmnmot
title: msXL_323r_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/4ebfmy
title: msXL_323r_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/gwll4u
title: msXL_323r_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/2jv9wh
title: msXL_323r_MMSI+RTI+Arc_F02_081_F.tif
DOI: 10.25346/s6lqjm3j/mzfwqg
title: msXL_323r_MMSI+RTI+Arc_E15_080_F.tif
DOI: 10.25346/s6lqjm3j/xunyjy
title: msXL_323r_MMSI+RTI+Arc_E13_079_F.tif
DOI: 10.25345/c55q4s05r
title: MassIVE MSV000099897 - GNPS - U19 Pointer Fecal Dataset
title: Fecal samples for U19 Pointer fecal dataset (8 plates). Untargeted LC-MS/MS acquisition was performed on a Vanquish UHPLC system coupled to a Exploris 240-Orbitrap (Thermo Fisher Scientific, Bremen, Germany). Chromatographic separation was performed on a Kinetex 2.1 um 100 A pore size Polar C18 reversed phase UHPLC column 100 x 2.1 mm (Phenomenex, Torrance, CA)
DOI: 10.25346/s6lqjm3j/bfeqf7
title: msXL_323r_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.25346/s6lqjm3j/1np6kb
title: msXL_323r_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.15468/dl.s3kuvw
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.7688 20.99913, -106.6188 20.99913, -106.6188 21.14913, -106.7688 21.14913, -106.7688 20.99913))"
 ]
}

 The dataset includes 62 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032117-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/lunywk
title: msXL_323r_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.25346/s6lqjm3j/edrwmn
title: msXL_323r_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/g8anql
title: msXL_323r_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.25346/s6lqjm3j/8hqop0
title: msXL_323r_MMSI+RTI+Arc_E01_076_F.tif
DOI: 10.25346/s6lqjm3j/br6v8w
title: msXL_323r_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.25346/s6lqjm3j/xct3pc
title: msXL_323r_MMSI+RTI+Arc_D16_072_F.tif
DOI: 10.25346/s6lqjm3j/mcrqt1
title: msXL_323r_MMSI+RTI+Arc_D14_071_F.tif
DOI: 10.25346/s6lqjm3j/mifzhf
title: msXL_323r_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/alhedy
title: msXL_323r_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/1ottz7
title: msXL_323r_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/b0dbe3
title: msXL_323r_MMSI+RTI+Arc_D06_072_F.tif
DOI: 10.25346/s6lqjm3j/perfct
title: msXL_323r_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/s6hlgz
title: msXL_323r_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/fwpomi
title: msXL_323r_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/uec7h6
title: msXL_323r_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/g6h2is
title: msXL_323r_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/vpz9gu
title: msXL_323r_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/iqsgxw
title: msXL_323r_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/dijly7
title: msXL_323r_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/hvcq2o
title: msXL_323r_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/1xhvr1
title: msXL_323r_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/bszlca
title: msXL_323r_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/sonhch
title: msXL_323r_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/6tahgc
title: msXL_323r_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/kvffso
title: msXL_323r_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/78u518
title: msXL_323r_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/bsyhg2
title: msXL_323r_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/5kz3xq
title: msXL_323r_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/7afp9b
title: msXL_323r_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/rotnqh
title: msXL_323r_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/bwudqe
title: msXL_323r_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/xolzwt
title: msXL_323r_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/6d6jt1
title: msXL_323r_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/cmxabx
title: msXL_323r_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/ypplor
title: msXL_323r_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/0edi7r
title: msXL_323r_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/tbaoio
title: msXL_323r_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/ngnayq
title: msXL_323r_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/hama3s
title: msXL_287v_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/ghpxel
title: msXL_287v_MMSI+RTI+W505665_040_F.tif
DOI: 10.15468/dl.656ask
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctinomops macrotis",
 "Year 1970-2020"
 ]
}

 The dataset includes 595 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032118-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/nixtpo
title: msXL_287v_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/02mvmz
title: msXL_287v_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/2b477p
title: msXL_287v_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/aowkms
title: msXL_287v_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/74gx7w
title: msXL_287v_MMSI+RTI+W400G58_033_F.tif
DOI: 10.25346/s6lqjm3j/mc4chj
title: msXL_287v_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/nfewh4
title: msXL_287v_MMSI+RTI+W385R25_028_F.tif
DOI: 10.25346/s6lqjm3j/f9fpey
title: msXL_287v_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/pzztma
title: msXL_287v_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/ulvvrq
title: msXL_287v_MMSI+RTI+W365R25_027_F.tif
DOI: 10.6084/m9.figshare.30615566
title: Dataset for “Satellite-Based Aquatic Plant Phenology: Quantifying Thermal Influences on Vegetation Dynamics in the Upo Wetland, South Korea (2022–2024)”

description: <b>This dataset contains all spatial datasets produced for the manuscript “Satellite-Based Aquatic Plant Phenology: Quantifying Thermal Influences on Vegetation Dynamics in the Upo Wetland, South Korea (2022–2024).”</b><br>The study investigates the spatiotemporal dynamics of aquatic plant phenology in the Upo Wetland using three years of Landsat 8/9 Level-2 imagery (2022–2024). The dataset includes grid-aggregated vegetation indices (NDVI, EVI), Landsat-derived surface water temperature, and phenology metrics extracted using a double logistic model.A 120 m × 120 m analysis grid was developed to integrate the thermal band resolution (100 m) with the optical band resolution (30 m). All vegetation indices and surface temperature values were spatially aggregated to this grid, which served as the fundamental analysis unit for phenology modeling.<b>Included data files:</b><br>The ZIP package contains seven GeoPackage (.gpkg) datasets:<br>(1) A full-period phenology metrics file (SOS, EOS, LGS from NDVI/EVI).<br>(2) Six date-specific datasets containing surface temperature, NDVI, and EVI for key observation dates in 2022, 2023, and 2024.<br><b>Methods Overview:</b>NDVI and EVI were computed using standard Landsat reflectance-based formulas.Surface water temperature was derived from the Landsat thermal infrared band.All values were aggregated to 120 m grid polygons.Phenology metrics (Start of Season, End of Season, Length of Growing Season) were extracted using a double logistic curve fitting approach.Analyses were conducted in R (version 4.4.3), using the <i>phenofit</i> and <i>sfdep</i> packages.<b>Coordinate Reference System:</b><br>All files use EPSG:32652 (UTM Zone 52N, WGS84), matching the CRS used in the manuscript’s analytical workflow.<br><b>Use Cases:</b><br>This dataset supports reproducible wetland phenology research, long-term monitoring of aquatic vegetation, climatic impact assessment, and validation of remote-sensing-based phenology models.
DOI: 10.6084/m9.figshare.30615566.v1
title: Dataset for “Satellite-Based Aquatic Plant Phenology: Quantifying Thermal Influences on Vegetation Dynamics in the Upo Wetland, South Korea (2022–2024)”

description: <b>This dataset contains all spatial datasets produced for the manuscript “Satellite-Based Aquatic Plant Phenology: Quantifying Thermal Influences on Vegetation Dynamics in the Upo Wetland, South Korea (2022–2024).”</b><br>The study investigates the spatiotemporal dynamics of aquatic plant phenology in the Upo Wetland using three years of Landsat 8/9 Level-2 imagery (2022–2024). The dataset includes grid-aggregated vegetation indices (NDVI, EVI), Landsat-derived surface water temperature, and phenology metrics extracted using a double logistic model.A 120 m × 120 m analysis grid was developed to integrate the thermal band resolution (100 m) with the optical band resolution (30 m). All vegetation indices and surface temperature values were spatially aggregated to this grid, which served as the fundamental analysis unit for phenology modeling.<b>Included data files:</b><br>The ZIP package contains seven GeoPackage (.gpkg) datasets:<br>(1) A full-period phenology metrics file (SOS, EOS, LGS from NDVI/EVI).<br>(2) Six date-specific datasets containing surface temperature, NDVI, and EVI for key observation dates in 2022, 2023, and 2024.<br><b>Methods Overview:</b>NDVI and EVI were computed using standard Landsat reflectance-based formulas.Surface water temperature was derived from the Landsat thermal infrared band.All values were aggregated to 120 m grid polygons.Phenology metrics (Start of Season, End of Season, Length of Growing Season) were extracted using a double logistic curve fitting approach.Analyses were conducted in R (version 4.4.3), using the <i>phenofit</i> and <i>sfdep</i> packages.<b>Coordinate Reference System:</b><br>All files use EPSG:32652 (UTM Zone 52N, WGS84), matching the CRS used in the manuscript’s analytical workflow.<br><b>Use Cases:</b><br>This dataset supports reproducible wetland phenology research, long-term monitoring of aquatic vegetation, climatic impact assessment, and validation of remote-sensing-based phenology models.
DOI: 10.25346/s6lqjm3j/fpmy7s
title: msXL_287v_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/njtsrr
title: msXL_287v_MMSI+RTI+W365B47_035_F.tif
DOI: 10.25346/s6lqjm3j/4drwnc
title: msXL_287v_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/umtmnc
title: msXL_287v_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/wtlpcu
title: msXL_287v_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/reseez
title: msXL_287v_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/pnaptk
title: msXL_287v_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/lnqvnc
title: msXL_287v_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/unshzv
title: msXL_287v_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/cc7uj4
title: msXL_287v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.15468/dl.nfqfzv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6188 20.99913, -106.4688 20.99913, -106.4688 21.14913, -106.6188 21.14913, -106.6188 20.99913))"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032119-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/3vnmwx
title: msXL_287v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/zehsmq
title: msXL_287v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/k0jipy
title: msXL_287v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/dzvg6j
title: msXL_287v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/sbfhao
title: msXL_287v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/bocbbx
title: msXL_287v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/0dmh4x
title: msXL_287v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/qbif2e
title: msXL_287v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/fengea
title: msXL_287v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/xdiuoa
title: msXL_287v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/bd513z
title: msXL_287v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/x1ithz
title: msXL_287v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/mgh7ce
title: msXL_287v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/dtemnt
title: msXL_287v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/uqbjwp
title: msXL_287v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/f1tk3x
title: msXL_287v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/xl1xri
title: msXL_287v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/enxp4j
title: msXL_287v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/nze6fj
title: msXL_287v_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/jyjdzp
title: msXL_287v_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.25346/s6lqjm3j/ineppo
title: msXL_287v_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.25346/s6lqjm3j/2c4rim
title: msXL_287v_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/h18vgx
title: msXL_287v_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/p0gchk
title: msXL_287v_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/qc1kns
title: msXL_287v_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/bakbfd
title: msXL_287v_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.15468/dl.rmgyet
title: Occurrence Download

description: A dataset containing 3082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((136.56655 22.62926,135.43647 50.88055,108.88037 51.44556,96.73231 31.9522,91.36458 17.26153,105.77271 3.98351,133.17645 0.59329,136.56655 22.62926))",
 "TaxonKey is Maclura tricuspidata"
 ]
}

 The dataset includes 3082 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032120-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/jue2s0
title: msXL_287v_MMSI+RTI+Arc_F16_088_F.tif