Dataset of groundwater bacterial communities at varying distances from public cemeteries in surakarta, Indonesia

This article presents a dataset describing the bacterial communities of groundwater collected from inside and around public cemeteries in Surakarta, Central Java, Indonesia. Water samples were obtained from wells located inside cemeteries (S1), at 150 m (S2) and 300 m (S3) away from cemetery boundaries across six urban subdistricts. From each site, 5 L of well water was filtered through 0.45 µm membrane filters to concentrate microbial cells. DNA was extracted using the ZymoBIOMICS™ Soil DNA Extraction Kit (Zymo Research, USA). Bacterial community profiling was conducted using PacBio Sequel II full-length 16S rRNA gene sequencing. Circular consensus sequences (CCS) were processed using SMRT Link and QIIME2 for quality control, chimera removal, and taxonomic classification against the SILVA 138 database. The dataset includes raw sequence reads, taxonomic abundance tables, and diversity index representing bacterial communities in groundwater at varying distances from cemeteries. Groundwater samples from cemeteries in Surakarta showed clear spatial differences in bacterial composition. Samples collected inside cemeteries exhibited the highest richness and proportion of low-rank taxa, with notable dominance of Verrucomicrobiota. At 150 m and 300 m distances, microbial diversity decreased. Proteobacteria, Planctomycetota, and Bacteroidota were also dominant phyla, showing differential abundance across sampling zones. Beta diversity analysis revealed distinct clustering by distance, confirming spatial structuring of microbial communities.The raw sequence data have been submitted to the National Center for Biotechnology Information (NCBI) under project ID PRJNA1345172 (https://www.ncbi.nlm.nih.gov/sra/PRJNA1345172). These data provide a valuable reference for understanding burial-related microbial dynamics and groundwater quality in tropical urban environments.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2026-03-05
DOI
https://doi.org/10.1016/j.dib.2026.112658
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dataset of groundwater bacterial communities at varying distances from public cemeteries in surakarta, Indonesia

Noor Alis Setiyadi, Triastuti Rahayu, Erma Musbita Tyastuti, Listy Hasti Mandiri et al.
Data in Brief
Fecal contamination and water quality
article

Dataset of groundwater bacterial communities at varying distances from public cemeteries in surakarta, Indonesia

Noor Alis Setiyadi, Triastuti Rahayu, Erma Musbita Tyastuti, Listy Hasti Mandiri, Banuwati Kartika Sari, Nur Miladan, Bambang Budhi Santosa, Yasir Sidiq, Alden Ganendra Madhava Priya Hardianto, Arief Budiono
article en

Abstract

This article presents a dataset describing the bacterial communities of groundwater collected from inside and around public cemeteries in Surakarta, Central Java, Indonesia. Water samples were obtained from wells located inside cemeteries (S1), at 150 m (S2) and 300 m (S3) away from cemetery boundaries across six urban subdistricts. From each site, 5 L of well water was filtered through 0.45 µm membrane filters to concentrate microbial cells. DNA was extracted using the ZymoBIOMICS™ Soil DNA Extraction Kit (Zymo Research, USA). Bacterial community profiling was conducted using PacBio Sequel II full-length 16S rRNA gene sequencing. Circular consensus sequences (CCS) were processed using SMRT Link and QIIME2 for quality control, chimera removal, and taxonomic classification against the SILVA 138 database. The dataset includes raw sequence reads, taxonomic abundance tables, and diversity index representing bacterial communities in groundwater at varying distances from cemeteries. Groundwater samples from cemeteries in Surakarta showed clear spatial differences in bacterial composition. Samples collected inside cemeteries exhibited the highest richness and proportion of low-rank taxa, with notable dominance of Verrucomicrobiota. At 150 m and 300 m distances, microbial diversity decreased. Proteobacteria, Planctomycetota, and Bacteroidota were also dominant phyla, showing differential abundance across sampling zones. Beta diversity analysis revealed distinct clustering by distance, confirming spatial structuring of microbial communities.The raw sequence data have been submitted to the National Center for Biotechnology Information (NCBI) under project ID PRJNA1345172 (https://www.ncbi.nlm.nih.gov/sra/PRJNA1345172). These data provide a valuable reference for understanding burial-related microbial dynamics and groundwater quality in tropical urban environments.

Data in BriefVol. 66
Sebelas Maret University (ID), Muhammadiyah University of Surakarta (ID), Universitas Surakarta (ID)
Openalex Percentile: Top 38%
Fecal contamination and water quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.