cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48668/mu3mfc/u7hmy5
title: USSR_1959_ZS_1959-11_page_35_219_218_217.png

description: :unav
DOI: 10.48668/mu3mfc/ikq3ch
title: USSR_1959_ZS_1959-11_page_44_206_205_204.png

description: :unav
DOI: 10.48668/mu3mfc/phol2a
title: USSR_1959_ZS_1959-12_page_55_120_119_118.png

description: :unav
DOI: 10.48668/mu3mfc/ztuybw
title: USSR_1959_ZS_1959-12_page_27_155_154_153.png

description: :unav
DOI: 10.48668/mu3mfc/zyjl3x
title: USSR_1959_ZS_1959-10_page_11_907_906_905.png

description: :unav
DOI: 10.48668/mu3mfc/ip4ryi
title: USSR_1959_ZS_1959-10_page_19_56_55_54.png

description: :unav
DOI: 10.48668/mu3mfc/vwcetz
title: USSR_1959_ZS_1959-11_page_48_195_194_193.png

description: :unav
DOI: 10.48668/mu3mfc/vtwurz
title: USSR_1959_ZS_1959-12_page_12_182_181_180.png

description: :unav
DOI: 10.48668/mu3mfc/aljazx
title: USSR_1959_ZS_1959-10_page_0_924_923_922.png

description: :unav
DOI: 10.48668/mu3mfc/8f2egb
title: USSR_1959_ZS_1959-12_page_47_133_132_131.png

description: :unav
DOI: 10.48668/mu3mfc/xgkm4r
title: USSR_1959_ZS_1959-12_page_4_128_127_126.png

description: :unav
DOI: 10.48668/mu3mfc/wkrgem
title: USSR_1959_ZS_1959-11_page_32_228_227_226.png

description: :unav
DOI: 10.48668/mu3mfc/4iva2y
title: USSR_1959_ZS_1959-12_page_8_110_109_108.png

description: :unav
DOI: 10.48668/mu3mfc/cne02v
title: USSR_1959_ZS_1959-10_page_25_875_874_873.png

description: :unav
DOI: 10.48668/mu3mfc/k8welx
title: USSR_1959_ZS_1959-12_page_18_170_169_168.png

description: :unav
DOI: 10.48668/mu3mfc/eikidb
title: USSR_1959_ZS_1959-10_page_45_843_842_841.png

description: :unav
DOI: 10.48668/mu3mfc/obczuk
title: USSR_1959_ZS_1959-12_page_32_151_150_149.png

description: :unav
DOI: 10.48668/mu3mfc/kaclfg
title: USSR_1959_ZS_1959-12_page_8_109_108_107.png

description: :unav
DOI: 10.48668/mu3mfc/eggxls
title: USSR_1959_ZS_1959-12_page_0_187_186_185.png

description: :unav
DOI: 10.5281/zenodo.17386507
title: China Grid-level Natural Streamflow Estimates (CHASE v1.0): Daily Version

description: This record contains daily flow records of CHASE v1.0. For monthly and yearly averaged records, please visit https://doi.org/10.5281/zenodo.17384262

Overview

CHinA grid-level natural Streamflow Estimates (CHASE v1.0) provides 1-km gridded estimates of natural streamflow across China, reconstructed using a coupled land-surface-hydrologic-hydrodynamic modeling system. It spans the period from January 1, 1962, to December 31, 2024, at a daily temporal resolution and 1-km spatial resolution. Validation against 1,225 flow gauges shows median daily Nash-Sutcliffe Efficiency (NSE) of 0.57, monthly NSE of 0.77, daily Kling-Gupta Efficiency (KGE) of 0.65, and monthly KGE of 0.73. Lake water level simulations are also satisfactory in major freshwater systems like Poyang, Dongting, Tai, Chao, and Hongze Lakes.

Request Access

By requesting access, you agree to the following conditions:





You are a researcher requesting access from a research-affiliated institution.




You will use the dataset only for research purposes and will not redistribute it.



In your request, please provide your full name, affiliation, and relevant funding information, following the example below:

Name: Ningpeng Dong

Affiliation: China Institute of Water Resources and Hydropower Research

Funding Information: National Natural Science Foundation of China (42401053).

Data Files

The dataset consists of NetCDF files.



Spatial Coverage: China, bounded approximately by latitudes 18°N to 53°N and longitudes 73°E to 135°E. Grid dimensions: 4087 rows (Y) × 4780 columns (X).

Temporal Coverage: Daily timesteps, with 365 or 366 days per file depending on leap years.

Resolution: 1 km × 1 km (nominal grid cell size).


Variables



time (double, dimension: time): Time.

XLONG (float, dimensions: Y, X): Longitude of each grid cell.

XLAT (float, dimensions: Y, X): Latitude of each grid cell. 

streamflow (int, dimensions: time, Y, X): Natural streamflow rate. Units: m³/s; Scale factor: 0.1 (multiply stored values by 0.1 to get actual m³/s); Add offset: 0; Fill/missing value: -9999. Data are packed as integers for efficiency.


Usage Notes



Processing: Files can be read using standard NetCDF libraries. To unpack streamflow values: actual_value = (stored_value * scale_factor) + add_offset. Negative or fill values indicate no data (e.g., outside the model domain).

Limitations: Data are model-derived and assume natural conditions; they do not include human interventions. Users should consult the associated papers for detailed validation metrics.


Reference

Ningpeng Dong, Mingxiang Yang, Jianhui Wei, et al. Reconstructing China's Natural Streamflow at 1 km resolution. Authorea. October 24, 2025. DOI: 10.22541/au.176132833.37694469/v1

For questions, contact: Ningpeng Dong (dongnp@iwhr.com).
DOI: 10.48668/mu3mfc/xffc2g
title: USSR_1959_ZS_1959-10_page_1_901_900_899.png

description: :unav
DOI: 10.48668/mu3mfc/spemxq
title: USSR_1959_ZS_1959-10_page_42_852_851_850.png

description: :unav
DOI: 10.48668/mu3mfc/nwopwc
title: USSR_1959_ZS_1959-12_page_10_185_184_183.png

description: :unav
DOI: 10.48668/mu3mfc/krpsoa
title: USSR_1959_ZS_1959-10_page_20_61_60_59.png

description: :unav
DOI: 10.6084/m9.figshare.31287526
title: File data is Comparison of WES with CNV-seq results.

description: Here, we developed a novel pipeline for whole exome sequencing (WES) analysis, designated as next-generation WES (ngWES). Being a composite bioinformatics analysis approach, ngWES is capable of the detection of single nucleotide variation (SNV), insertion and deletion (INDEL) and copy number variation (CNV) within a single test and requiring no changes in laboratory technology or workflow. In this study, 21 samples from patients with known CNV test results were applied as a training set to verify the feasibility and effectiveness of the ngWES. Additionally, 600 subjects with suspected Mendelian disorders who underwent genetic screening were included to further explore the diagnostic capacity of ngWES. All these CNVs and SNVs/INDELs detected by ngWES were further validated by other methods. Notably, all these analyses demonstrated that ngWES could efficiently call SNV/INDEL and CNV in a single test and yield higher diagnostic rates, compared to conventional diagnostic methods WES, CNV-seq or WES combined with CNV-seq, but with same time or cost as WES library preparation. Thus ngWES is expected to be a universal screening strategy for all the suspected genetic patients.
DOI: 10.6084/m9.figshare.31287526.v1
title: File data is Comparison of WES with CNV-seq results.

description: Here, we developed a novel pipeline for whole exome sequencing (WES) analysis, designated as next-generation WES (ngWES). Being a composite bioinformatics analysis approach, ngWES is capable of the detection of single nucleotide variation (SNV), insertion and deletion (INDEL) and copy number variation (CNV) within a single test and requiring no changes in laboratory technology or workflow. In this study, 21 samples from patients with known CNV test results were applied as a training set to verify the feasibility and effectiveness of the ngWES. Additionally, 600 subjects with suspected Mendelian disorders who underwent genetic screening were included to further explore the diagnostic capacity of ngWES. All these CNVs and SNVs/INDELs detected by ngWES were further validated by other methods. Notably, all these analyses demonstrated that ngWES could efficiently call SNV/INDEL and CNV in a single test and yield higher diagnostic rates, compared to conventional diagnostic methods WES, CNV-seq or WES combined with CNV-seq, but with same time or cost as WES library preparation. Thus ngWES is expected to be a universal screening strategy for all the suspected genetic patients.
DOI: 10.48668/mu3mfc/7bo8wo
title: USSR_1959_ZS_1959-12_page_59_116_115_114.png

description: :unav
DOI: 10.48668/mu3mfc/z88hmt
title: USSR_1959_ZS_1959-10_page_48_834_833_832.png

description: :unav
DOI: 10.5281/zenodo.18512439
title: China Grid-level Natural Streamflow Estimates (CHASE v1.0): Daily Version

description: This record contains daily flow records of CHASE v1.0. For monthly and yearly averaged records, please visit https://doi.org/10.5281/zenodo.17384262

Overview

CHinA grid-level natural Streamflow Estimates (CHASE v1.0) provides 1-km gridded estimates of natural streamflow across China, reconstructed using a coupled land-surface-hydrologic-hydrodynamic modeling system. It spans the period from January 1, 1962, to December 31, 2024, at a daily temporal resolution and 1-km spatial resolution. Validation against 1,225 flow gauges shows median daily Nash-Sutcliffe Efficiency (NSE) of 0.57, monthly NSE of 0.77, daily Kling-Gupta Efficiency (KGE) of 0.65, and monthly KGE of 0.73. Lake water level simulations are also satisfactory in major freshwater systems like Poyang, Dongting, Tai, Chao, and Hongze Lakes.

Request Access

By requesting access, you agree to the following conditions:





You are a researcher requesting access from a research-affiliated institution.




You will use the dataset only for research purposes and will not redistribute it.



In your request, please provide your full name, affiliation, and relevant funding information, following the example below:

Name: Ningpeng Dong

Affiliation: China Institute of Water Resources and Hydropower Research

Funding Information: National Natural Science Foundation of China (42401053).

Data Files

The dataset consists of NetCDF files.



Spatial Coverage: China, bounded approximately by latitudes 18°N to 53°N and longitudes 73°E to 135°E. Grid dimensions: 4087 rows (Y) × 4780 columns (X).

Temporal Coverage: Daily timesteps, with 365 or 366 days per file depending on leap years.

Resolution: 1 km × 1 km (nominal grid cell size).


Variables



time (double, dimension: time): Time.

XLONG (float, dimensions: Y, X): Longitude of each grid cell.

XLAT (float, dimensions: Y, X): Latitude of each grid cell. 

streamflow (int, dimensions: time, Y, X): Natural streamflow rate. Units: m³/s; Scale factor: 0.1 (multiply stored values by 0.1 to get actual m³/s); Add offset: 0; Fill/missing value: -9999. Data are packed as integers for efficiency.


Usage Notes



Processing: Files can be read using standard NetCDF libraries. To unpack streamflow values: actual_value = (stored_value * scale_factor) + add_offset. Negative or fill values indicate no data (e.g., outside the model domain).

Limitations: Data are model-derived and assume natural conditions; they do not include human interventions. Users should consult the associated papers for detailed validation metrics.


Reference

Ningpeng Dong, Mingxiang Yang, Jianhui Wei, et al. Reconstructing China's Natural Streamflow at 1 km resolution. Authorea. October 24, 2025. DOI: 10.22541/au.176132833.37694469/v1

For questions, contact: Ningpeng Dong (dongnp@iwhr.com).
DOI: 10.48668/mu3mfc/wbatzn
title: USSR_1959_ZS_1959-11_page_18_813_812_811.png

description: :unav
DOI: 10.48668/mu3mfc/dtcy4k
title: USSR_1959_ZS_1959-10_page_25_869_868_867.png

description: :unav
DOI: 10.5281/zenodo.18516092
title: LINF_320036000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18516093
title: LINF_320036000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.48668/mu3mfc/m1yej1
title: USSR_1959_ZS_1959-10_page_11_898_897_896.png

description: :unav
DOI: 10.48668/mu3mfc/ivjdjf
title: USSR_1959_ZS_1959-11_page_11_833_832_831.png

description: :unav
DOI: 10.48668/mu3mfc/kw0yzn
title: USSR_1959_ZS_1959-12_page_33_147_146_145.png

description: :unav
DOI: 10.48668/mu3mfc/wea4yw
title: USSR_1959_ZS_1959-12_page_30_154_153_152.png

description: :unav
DOI: 10.48668/mu3mfc/dxof8w
title: USSR_1959_ZS_1959-10_page_22_882_881_880.png

description: :unav
DOI: 10.48668/mu3mfc/s6h7zp
title: USSR_1959_ZS_1959-11_page_13_819_818_817.png

description: :unav
DOI: 10.48668/mu3mfc/8s8sfp
title: USSR_1959_ZS_1959-12_page_42_139_138_137.png

description: :unav
DOI: 10.48668/mu3mfc/dapdnh
title: USSR_1959_ZS_1959-12_page_14_181_180_179.png

description: :unav
DOI: 10.48668/mu3mfc/wmuxpf
title: USSR_1959_ZS_1959-11_page_13_820_819_818.png

description: :unav
DOI: 10.48668/mu3mfc/3y8hpx
title: USSR_1959_ZS_1959-10_page_20_883_882_881.png

description: :unav
DOI: 10.48668/mu3mfc/10il2k
title: USSR_1959_ZS_1959-11_page_18_814_813_812.png

description: :unav
DOI: 10.15468/dl.5xknd7
title: Occurrence Download

description: A dataset containing 17423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Sterna paradisaea",
 "Year 2020-2025"
 ]
}

 The dataset includes 17423 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018245-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/m1h7fa
title: USSR_1959_ZS_1959-11_page_6_186_185_184.png

description: :unav
DOI: 10.48668/mu3mfc/i3x5uj
title: USSR_1959_ZS_1959-10_page_19_57_56_55.png

description: :unav
DOI: 10.48668/mu3mfc/mmqew3
title: USSR_1959_ZS_1959-10_page_18_888_887_886.png

description: :unav
DOI: 10.48668/mu3mfc/gjoyz8
title: USSR_1959_ZS_1959-12_page_56_115_114_113.png

description: :unav
DOI: 10.48668/mu3mfc/wmmeqa
title: USSR_1959_ZS_1959-10_page_38_862_861_860.png

description: :unav
DOI: 10.15468/dl.ckcgx7
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022352-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rn2xko
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019200-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22vfc8
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.2_1",
 "TaxonKey is Helianthus nuttallii Torr. & A.Gray"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071671-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pi1oia
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000216-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l9szpx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011289-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu7n18
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032558-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.roa5by
title: Occurrence Download

description: A dataset containing 13316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerodia fasciata (Linnaeus, 1766)"
 ]
}

 The dataset includes 13316 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019453-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ph9xxy
title: Occurrence Download

description: A dataset containing 789148709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 789148709 records from 19752 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114244-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccetqc
title: Occurrence Download

description: A dataset containing 49667035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 49667035 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000215-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2nzrp3
title: CCDC 2472426: Experimental Crystal Structure Determination

description: Related Article: Yaqoot Khan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.wvzvks
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achillea millefolium, Achillea ptarmica, Alopecurus geniculatus, Arion vulgaris, Arthurdendyus triangulatus, Boletus edulis, Bonnemaisonia hamifera, Branta canadensis, Campylopus introflexus, Carum carvi, Centaurea scabiosa, Chalciporus piperatus, Cygnus olor, Descolea antarctica, Elymus repens, Epilobium ciliatum, Equisetum variegatum, Erythranthe guttata, Globodera pallida, Globodera rostochiensis, Glyceria maxima, Holcus lanatus, Iris pseudacorus, Lactarius quieticolor, Lactarius rufus, Lathyrus pratensis, Lepus timidus, Lotus corniculatus, Lotus pedunculatus, Myosotis discolor, Myrrhis odorata, Oryctolagus cuniculus, Persicaria amphibia, Phalaris arundinacea, Poa trivialis, Pseudopolydora paucibranchiata, Rana temporaria, Rattus norvegicus, Rumex acetosella, Russula sardonia, Sinapis arvensis, Suillus bovinus, Suillus granulatus, Suillus grevillei, Suillus luteus, Tanacetum vulgare, Trifolium repens, Tussilago farfara, Veronica beccabunga, Vicia cracca, Vicia sepium)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-6.458506 62.30541, -6.481536 62.33183, -6.496907 62.33759, -6.550938 62.38977, -6.569905 62.39277, -6.590402 62.37937, -6.550607 62.35372, -6.550449 62.3156, -6.560888 62.32496, -6.589387 62.35891, -6.611061 62.32445, -6.581452 62.25752, -6.561682 62.25718, -6.556043 62.27056, -6.525051 62.28314, -6.524242 62.29216, -6.437403 62.277, -6.415741 62.30809, -6.453656 62.31598, -6.458506 62.30541))"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022837-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2nzrxb
title: CCDC 2472433: Experimental Crystal Structure Determination

description: Related Article: Yaqoot Khan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nzrzd
title: CCDC 2472435: Experimental Crystal Structure Determination

description: Related Article: Yaqoot Khan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/2nm9cp89df.3
title: Ink and Identity - A Handwriting Image Dataset for Graphological Applications

description: The Ink and Identity dataset presents a comprehensive collection of 374 handwritten characters consisting of all lowercase and 12 uppercase alphabets, including a few digits, gathered from participants spanning diverse age groups. Utilized A4-size unruled paper for writing. As of now, the datasets available are on ruled paper containing only a single line or single word, which limits analyzing data in graphology, and all the datasets do not contain all alphabets, like numbers and characters. These limitations are covered in this dataset.

The dataset was collected using two methods: an in-person (300 images) and a web form (150 images). Total dataset: 450 images. The dataset comprises two folders, in-person and web form, and the image was captured in a 1:1 ratio on an iPhone 14 Plus 12MP. Web form images were instructed to be captured in a 1:1 ratio, and each one has been pre-processed with a unique ID like “001” and stored in .jpg format. 

Additionally, researchers can employ this dataset as a reference standard for age-based handwriting analysis, personality trait prediction, AI/ML model training, cognitive and neurological research, and health and mental well-being.
DOI: 10.6084/m9.figshare.29610785
title: Data

description: Description: This dataset contains the 20 validated occurrence points used for the species distribution modeling in the manuscript "Synergistic and Trade-off Regulation of Multi-scale Environmental Factors on the Niche of the Yellow-Spined Bamboo Locust, Ceracris kiangsu: A Nested Model Study".
DOI: 10.6084/m9.figshare.29610785.v2
title: Occurrence Data of the Yellow-Spined Bamboo Locust (Ceracris kiangsu) in Yuxi

description: Description: This dataset contains the 20 validated occurrence points used for the species distribution modeling in the manuscript "Synergistic and Trade-off Regulation of Multi-scale Environmental Factors on the Niche of the Yellow-Spined Bamboo Locust, Ceracris kiangsu: A Nested Model Study".