cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ev7882
title: Occurrence Download

description: A dataset containing 3817926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 3817926 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047651-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxe377
title: Occurrence Download

description: A dataset containing 8306 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microtus subterraneus (Selys-Longchamps, 1836)"
 ]
}

 The dataset includes 8306 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107661-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc7gxx
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lippia dulcis"
 ]
}

 The dataset includes 445 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013560-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cchcs
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis pulchrilatus"
 ]
}

 The dataset includes 347 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013562-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywrggz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megaplatypus mutatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013561-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30736412
title: Practical dataset for single-cell large models

description: This dataset currently consists of four single-cell datasets, categorized into three main types: kidney disease queue, immune cell queue, and multimodal tissue.<br><br>Can be used for testing and training large single-cell biological models.<br><br>The data scale is as follows:kidney disease queue, 460K+ cells, multimodalImmune cell queue, 9730K+ cells, scRNA onlymultimodal tissue, 23k+ cells, multimodal
DOI: 10.6084/m9.figshare.30736412.v1
title: Practical dataset for single-cell large models

description: This dataset currently consists of four single-cell datasets, categorized into three main types: kidney disease queue, immune cell queue, and multimodal tissue.<br><br>Can be used for testing and training large single-cell biological models.<br><br>The data scale is as follows:kidney disease queue, 460K+ cells, multimodalImmune cell queue, 9730K+ cells, scRNA onlymultimodal tissue, 23k+ cells, multimodal
DOI: 10.15468/dl.x2mb2e
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON ((-3.695533 37.65092, -3.695545 37.65129, -3.695582 37.65166, -3.695643 37.65203, -3.695729 37.6524, -3.695839 37.65276, -3.695973 37.65311, -3.69613 37.65347, -3.696309 37.65381, -3.696512 37.65415, -3.696736 37.65447, -3.696982 37.65479, -3.697248 37.6551, -3.697535 37.65539, -3.69784 37.65568, -3.698164 37.65595, -3.698505 37.6562, -3.698863 37.65644, -3.699236 37.65667, -3.699623 37.65688, -3.700024 37.65708, -3.700438 37.65725, -3.700862 37.65741, -3.701297 37.65756, -3.70174 37.65768, -3.702191 37.65779, -3.702648 37.65787, -3.703111 37.65794, -3.703577 37.65799, -3.704046 37.65802, -3.704516 37.65803, -3.704986 37.65802, -3.705455 37.65799, -3.705921 37.65794, -3.706384 37.65787, -3.706841 37.65779, -3.707292 37.65768, -3.707735 37.65756, -3.70817 37.65741, -3.708594 37.65725, -3.709008 37.65708, -3.709409 37.65688, -3.709796 37.65667, -3.710169 37.65644, -3.710527 37.6562, -3.710868 37.65595, -3.711192 37.65568, -3.711497 37.65539, -3.711784 37.6551, -3.71205 37.65479, -3.712296 37.65447, -3.71252 37.65415, -3.712723 37.65381, -3.712902 37.65347, -3.713059 37.65311, -3.713193 37.65276, -3.713303 37.6524, -3.713389 37.65203, -3.71345 37.65166, -3.713487 37.65129, -3.713499 37.65092, -3.713487 37.65054, -3.71345 37.65017, -3.713389 37.6498, -3.713303 37.64944, -3.713193 37.64908, -3.713059 37.64872, -3.712902 37.64837, -3.712723 37.64802, -3.71252 37.64769, -3.712296 37.64736, -3.71205 37.64704, -3.711784 37.64674, -3.711497 37.64644, -3.711192 37.64616, -3.710868 37.64589, -3.710527 37.64563, -3.710169 37.64539, -3.709796 37.64516, -3.709409 37.64495, -3.709008 37.64476, -3.708594 37.64458, -3.70817 37.64442, -3.707735 37.64428, -3.707292 37.64415, -3.706841 37.64405, -3.706384 37.64396, -3.705921 37.64389, -3.705455 37.64384, -3.704986 37.64381, -3.704516 37.6438, -3.704046 37.64381, -3.703577 37.64384, -3.703111 37.64389, -3.702648 37.64396, -3.702191 37.64405, -3.70174 37.64415, -3.701297 37.64428, -3.700862 37.64442, -3.700438 37.64458, -3.700024 37.64476, -3.699623 37.64495, -3.699236 37.64516, -3.698863 37.64539, -3.698505 37.64563, -3.698164 37.64589, -3.69784 37.64616, -3.697535 37.64644, -3.697248 37.64674, -3.696982 37.64704, -3.696736 37.64736, -3.696512 37.64769, -3.696309 37.64802, -3.69613 37.64837, -3.695973 37.64872, -3.695839 37.64908, -3.695729 37.64944, -3.695643 37.6498, -3.695582 37.65017, -3.695545 37.65054, -3.695533 37.65092))"
 ]
}

 The dataset includes 637 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013563-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17736720
title: Italian Catalog of Earthquakes based on the high-frequency earthquake Magnitude m3Hz-ICEM
DOI: 10.5281/zenodo.17736721
title: Italian Catalog of Earthquakes based on the high-frequency earthquake Magnitude m3Hz-ICEM
DOI: 10.15468/dl.ycaexy
title: Occurrence Download

description: A dataset containing 3131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser albifrons",
 "Year 2000-2025"
 ]
}

 The dataset includes 3131 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013564-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpkduq
title: Occurrence Download

description: A dataset containing 6714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hibiscus altissimus, Hibiscus cannabinus, Hibiscus diversifolius, Hibiscus nigricaulis, Hibiscus surattensis, Hibiscus sabdariffa)"
 ]
}

 The dataset includes 6714 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013567-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez56gv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xylosandrus mutilatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013568-251120083545085/datasets/export for details.
DOI: 10.15468/dl.m45y66
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis sumichrasti"
 ]
}

 The dataset includes 253 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013570-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve2ty7
title: Occurrence Download

description: A dataset containing 1147505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (IND, Z07, Z01, Z03, Z06)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1147505 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013494-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n38scw
title: Occurrence Download

description: A dataset containing 1540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picea likiangensis"
 ]
}

 The dataset includes 1540 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013569-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13904981
title: Exam Score Prediction Dataset
DOI: 10.17605/osf.io/q427y
title: Canine Papillomavirus

description: The main objective of the project is to summarize evidence regarding papillomavirus in dogs through inter and multidisciplinary collaborative work. Everyone is welcome to collaborate.
DOI: 10.15468/dl.wx57x2
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis unilabialis"
 ]
}

 The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013574-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az5wuw
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON ((-3.288443 37.75564, -3.288455 37.75602, -3.288492 37.75639, -3.288554 37.75676, -3.288639 37.75712, -3.288749 37.75748, -3.288883 37.75784, -3.28904 37.75819, -3.28922 37.75853, -3.289422 37.75887, -3.289646 37.7592, -3.289892 37.75951, -3.290159 37.75982, -3.290445 37.76011, -3.29075 37.7604, -3.291074 37.76067, -3.291415 37.76092, -3.291773 37.76116, -3.292146 37.76139, -3.292534 37.7616, -3.292935 37.7618, -3.293348 37.76197, -3.293772 37.76213, -3.294207 37.76227, -3.29465 37.7624, -3.295101 37.7625, -3.295558 37.76259, -3.296021 37.76266, -3.296487 37.76271, -3.296956 37.76274, -3.297426 37.76275, -3.297896 37.76274, -3.298365 37.76271, -3.298831 37.76266, -3.299294 37.76259, -3.299751 37.7625, -3.300202 37.7624, -3.300645 37.76227, -3.30108 37.76213, -3.301504 37.76197, -3.301918 37.7618, -3.302319 37.7616, -3.302706 37.76139, -3.303079 37.76116, -3.303437 37.76092, -3.303778 37.76067, -3.304102 37.7604, -3.304407 37.76011, -3.304694 37.75982, -3.30496 37.75951, -3.305206 37.7592, -3.30543 37.75887, -3.305633 37.75853, -3.305813 37.75819, -3.30597 37.75784, -3.306103 37.75748, -3.306213 37.75712, -3.306299 37.75676, -3.30636 37.75639, -3.306397 37.75602, -3.306409 37.75564, -3.306397 37.75527, -3.30636 37.7549, -3.306299 37.75453, -3.306213 37.75417, -3.306103 37.75381, -3.30597 37.75345, -3.305813 37.7531, -3.305633 37.75276, -3.30543 37.75242, -3.305206 37.75209, -3.30496 37.75178, -3.304694 37.75147, -3.304407 37.75117, -3.304102 37.75089, -3.303778 37.75062, -3.303437 37.75037, -3.303079 37.75012, -3.302706 37.7499, -3.302319 37.74969, -3.301918 37.74949, -3.301504 37.74932, -3.30108 37.74916, -3.300645 37.74901, -3.300202 37.74889, -3.299751 37.74878, -3.299294 37.7487, -3.298831 37.74863, -3.298365 37.74858, -3.297896 37.74855, -3.297426 37.74854, -3.296956 37.74855, -3.296487 37.74858, -3.296021 37.74863, -3.295558 37.7487, -3.295101 37.74878, -3.29465 37.74889, -3.294207 37.74901, -3.293772 37.74916, -3.293348 37.74932, -3.292935 37.74949, -3.292534 37.74969, -3.292146 37.7499, -3.291773 37.75012, -3.291415 37.75037, -3.291074 37.75062, -3.29075 37.75089, -3.290445 37.75117, -3.290159 37.75147, -3.289892 37.75178, -3.289646 37.75209, -3.289422 37.75242, -3.28922 37.75276, -3.28904 37.7531, -3.288883 37.75345, -3.288749 37.75381, -3.288639 37.75417, -3.288554 37.75453, -3.288492 37.7549, -3.288455 37.75527, -3.288443 37.75564))"
 ]
}

 The dataset includes 447 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013576-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mta2vv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sirex ermak)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013575-251120083545085/datasets/export for details.
DOI: 10.15468/dl.ks2cd3
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Neohirasea japonica"
 ]
}

 The dataset includes 280 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013579-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/39vf0r
title: 231213_231124_G230807_KOHimp2-R_3.98.zip

description: :unav
DOI: 10.57745/l9fkt8
title: 231206_231109_G230807_KOHimp6_4.11.zip

description: :unav
DOI: 10.57745/4yeeub
title: 240124_KOHimp4-r_3.96.zip

description: :unav
DOI: 10.57745/rwxi1s
title: 240124_230301-r220405-900-2h-rep2_4.06.zip

description: :unav
DOI: 10.57745/ej6hu2
title: 231206_231107_B231027_KOHp1_4.04.zip

description: :unav
DOI: 10.57745/6av96j
title: 231213_231121_G230807_KOHimp1_4.11.zip

description: :unav
DOI: 10.57745/ir4oiv
title: 240124_KOHp3_3.99.zip

description: :unav
DOI: 10.57745/f7bf1x
title: Double activation.zip

description: :unav
DOI: 10.57745/njn4ai
title: 231206_231107_B231027_KOHp2_4.12.zip

description: :unav
DOI: 10.57745/n2rjxt
title: NaOH activation.zip

description: :unav
DOI: 10.57745/zfp4qc
title: ReadMe_EDLC_Aqueous electrolyte_Activated Carbon.txt

description: :unav
DOI: 10.57745/cxifir
title: ReadMe_EDLC_Aqueous electrolyte.txt

description: :unav
DOI: 10.57745/jgqily
title: ReadMe_EDLC_Aqueous electrolyte.txt

description: :unav
DOI: 10.5281/zenodo.17742255
title: Whole Exome Sequencing and Single-Cell DNA Sequencing for Assessment of Clonal Heterogeneity and Evolution in Acute Myeloid Leukemia

description: Datasets used in the study: 



Whole_exome_sequencing_variants.xlsx: Variants from WES with VAF in all samples

Whole_exome_sequencing_variants_filtered.xlsx: WES variants filtered to include only the amplicons covered by ScDNAseq Tapestri Myeloid panel

Whole_exome_sequencing_Copy_Number_data.csv: WES Copy number data for all samples filtered for genes covered by ScDNAseq Tapestri Myeloid panel

PhyloWGS_input: Input data for PhyloWGS.

Single_cell_DNA_sequencing_variants.xlsx: ScDNA-seq variants data with VAF in all samples

ScDNA-seq_variants_per_sample.zip: Variants and other scDNA-seq data per sample

ScDNA-seq_Copy_number_data.zip: Copy number per sample for each gene amplicon and each clone
DOI: 10.5281/zenodo.17742256
title: Whole Exome Sequencing and Single-Cell DNA Sequencing for Assessment of Clonal Heterogeneity and Evolution in Acute Myeloid Leukemia

description: Datasets used in the study: 



Whole_exome_sequencing_variants.xlsx: Variants from WES with VAF in all samples

Whole_exome_sequencing_variants_filtered.xlsx: WES variants filtered to include only the amplicons covered by ScDNAseq Tapestri Myeloid panel

Whole_exome_sequencing_Copy_Number_data.csv: WES Copy number data for all samples filtered for genes covered by ScDNAseq Tapestri Myeloid panel

PhyloWGS_input: Input data for PhyloWGS.

Single_cell_DNA_sequencing_variants.xlsx: ScDNA-seq variants data with VAF in all samples

ScDNA-seq_variants_per_sample.zip: Variants and other scDNA-seq data per sample

ScDNA-seq_Copy_number_data.zip: Copy number per sample for each gene amplicon and each clone
DOI: 10.6084/m9.figshare.30675893
title: 基于复杂社会演变的新石器时代聚落群时空分布研究：东廷湖盆地的证据

description: Since the advent of settled communities, collective gathering has constituted a universal historical phenomenon. This research seeks to analyze the spatiotemporal distribution of settlement clusters across various cultural phases of the Neolithic age, with the objective of elucidating the evolutionary trajectory of complex society formation. Previous research on prehistoric settlement clusters has predominantly emphasized spatial division and morphological structure, with relatively limited investigation into their spatiotemporal evolution and distribution patterns at the watershed scale. This study analyzes 1,101 Neolithic settlement sites within the Dongting Lake Basin. Using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and ArcGIS 10.5, we delineated settlement clusters both spatially and temporally across various cultural phases. Subsequently, the Spatio-Temporal Object Model was employed to examine the spatiotemporal evolution of these clusters. Influencing factors were explored from both natural and social perspectives. The findings reveal that Neolithic settlement clusters were mainly concentrated in the northwestern part of the Dongting Lake basin and the surrounding lakeside areas. The center of settlement clusters exhibited a migration trend from the northwest toward the south, then to the northeast, forming an overall “V”-shaped trajectory. The Neolithic climate in the Dongting Lake basin was generally warm and humid. Settlements were predominantly distributed along rivers and clustered in the lakeside plains. Over time, settlement sizes expanded, and the clusters underwent migration and differentiation, resulting in increased social complexity. This study provides a foundation for the conservation of Neolithic cultural heritage and offers a reference for exploring the coordination of human-land relationships and sustainable development.
DOI: 10.6084/m9.figshare.30675893.v2
title: 基于复杂社会演变的新石器时代聚落群时空分布研究：东廷湖盆地的证据

description: Since the advent of settled communities, collective gathering has constituted a universal historical phenomenon. This research seeks to analyze the spatiotemporal distribution of settlement clusters across various cultural phases of the Neolithic age, with the objective of elucidating the evolutionary trajectory of complex society formation. Previous research on prehistoric settlement clusters has predominantly emphasized spatial division and morphological structure, with relatively limited investigation into their spatiotemporal evolution and distribution patterns at the watershed scale. This study analyzes 1,101 Neolithic settlement sites within the Dongting Lake Basin. Using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and ArcGIS 10.5, we delineated settlement clusters both spatially and temporally across various cultural phases. Subsequently, the Spatio-Temporal Object Model was employed to examine the spatiotemporal evolution of these clusters. Influencing factors were explored from both natural and social perspectives. The findings reveal that Neolithic settlement clusters were mainly concentrated in the northwestern part of the Dongting Lake basin and the surrounding lakeside areas. The center of settlement clusters exhibited a migration trend from the northwest toward the south, then to the northeast, forming an overall “V”-shaped trajectory. The Neolithic climate in the Dongting Lake basin was generally warm and humid. Settlements were predominantly distributed along rivers and clustered in the lakeside plains. Over time, settlement sizes expanded, and the clusters underwent migration and differentiation, resulting in increased social complexity. This study provides a foundation for the conservation of Neolithic cultural heritage and offers a reference for exploring the coordination of human-land relationships and sustainable development.
DOI: 10.6084/m9.figshare.30675893.v1
title: 基于复杂社会演变的新石器时代聚落群时空分布研究：东廷湖盆地的证据

description: Since the advent of settled communities, collective gathering has constituted a universal historical phenomenon. This research seeks to analyze the spatiotemporal distribution of settlement clusters across various cultural phases of the Neolithic age, with the objective of elucidating the evolutionary trajectory of complex society formation. Previous research on prehistoric settlement clusters has predominantly emphasized spatial division and morphological structure, with relatively limited investigation into their spatiotemporal evolution and distribution patterns at the watershed scale. This study analyzes 1,101 Neolithic settlement sites within the Dongting Lake Basin. Using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and ArcGIS 10.5, we delineated settlement clusters both spatially and temporally across various cultural phases. Subsequently, the Spatio-Temporal Object Model was employed to examine the spatiotemporal evolution of these clusters. Influencing factors were explored from both natural and social perspectives. The findings reveal that Neolithic settlement clusters were mainly concentrated in the northwestern part of the Dongting Lake basin and the surrounding lakeside areas. The center of settlement clusters exhibited a migration trend from the northwest toward the south, then to the northeast, forming an overall “V”-shaped trajectory. The Neolithic climate in the Dongting Lake basin was generally warm and humid. Settlements were predominantly distributed along rivers and clustered in the lakeside plains. Over time, settlement sizes expanded, and the clusters underwent migration and differentiation, resulting in increased social complexity. This study provides a foundation for the conservation of Neolithic cultural heritage and offers a reference for exploring the coordination of human-land relationships and sustainable development.