cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25807454.v1
title: Additional file 2 of Non-HLA angiotensin-type-1 receptor autoantibodies mediate the long-term loss of grafted neurons in Parkinson’s disease models

description: Supplementary Material 2: Additional file 2. Supporting data values. Data supporting the results reported in the article.
DOI: 10.15468/dl.qrg2p7
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sulcaria spiralifera (Brodo & D.Hawksw.) Myllys, Velmala & Goward"
 ]
}

 The dataset includes 113 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072926-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25807389
title: Additional file 1 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 1: Table S1
DOI: 10.6084/m9.figshare.25807389.v1
title: Additional file 1 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 1: Table S1
DOI: 10.6084/m9.figshare.26719488
title: Additional file 3 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 3: Table S2
DOI: 10.6084/m9.figshare.26719488.v1
title: Additional file 3 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 3: Table S2
DOI: 10.6084/m9.figshare.26719494
title: Additional file 5 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 5: Table S3
DOI: 10.6084/m9.figshare.26719494.v1
title: Additional file 5 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 5: Table S3
DOI: 10.6084/m9.figshare.26719497
title: Additional file 6 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 6: Table S4
DOI: 10.6084/m9.figshare.26719497.v1
title: Additional file 6 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 6: Table S4
DOI: 10.6084/m9.figshare.26719500.v1
title: Additional file 7 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 7: Table S5
DOI: 10.6084/m9.figshare.26719500
title: Additional file 7 of Combined transcriptomics and proteomics unveil the impact of vitamin C in modulating specific protein abundance in the mouse liver

description: Additional file 7: Table S5
DOI: 10.15468/dl.qb85fy
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyperodapedon Huxley, 1859",
 "HasCoordinate is true"
 ]
}

 The dataset includes 209 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004096-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqb95e
title: Occurrence Download

description: A dataset containing 389813 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((136.4672 -36.4768, 137.8105 -36.4768, 137.8105 -35.21785, 136.4672 -35.21785, 136.4672 -36.4768))",
 "Year is less than 2026"
 ]
}

 The dataset includes 389813 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004079-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/26244/1nfmj1
title: SOCAP_IC.xls
DOI: 10.7910/dvn/26244/1o6dxt
title: ORGPROFILE.xls
DOI: 10.7910/dvn/26244/1ugqwf
title: IRRIG RECORDS.xls
DOI: 10.7910/dvn/26244/5gtyul
title: SOCAP_CAC.xls
DOI: 10.7910/dvn/26244/6dhetm
title: DEMOGRAPHIC.xls
DOI: 10.7910/dvn/26244/7xb3rt
title: SOCAP_TS.xls
DOI: 10.7910/dvn/26244/eskmt5
title: PRODN DISPOSAL.xls
DOI: 10.7910/dvn/26244/gyjk3p
title: SOCAP_SC.xls
DOI: 10.7910/dvn/26244/i293fe
title: HARVTHRESH.xls
DOI: 10.7910/dvn/26244/ik2exr
title: CROP PATTERN.xls
DOI: 10.7910/dvn/26244/jynn2q
title: Project details.xlsx
DOI: 10.7910/dvn/26244/kbrcvn
title: SOCAP_EPA.xls
DOI: 10.7910/dvn/26244/mnqmnh
title: SOCAP_GN.xls
DOI: 10.7910/dvn/26244/nhskgp
title: ASSETS.xls
DOI: 10.7910/dvn/26244/qnltlh
title: INCOME.xls
DOI: 10.7910/dvn/26244/rnzdwc
title: NETWORKING OF FARMERS.xls
DOI: 10.7910/dvn/26244/ry0rsk
title: LANDPREP.xls
DOI: 10.7910/dvn/26244/tyhpbm
title: CHEMICALS.xls
DOI: 10.7910/dvn/26244/ux9p6s
title: Social Capital Integrated Household_Vicky Rodriguez.doc
DOI: 10.7910/dvn/26244/wx5wwe
title: FERTILIZER.xls
DOI: 10.15468/dl.3xzwqa
title: Occurrence Download

description: A dataset containing 13704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Eacles imperialis Drury, 1773"
 ]
}

 The dataset includes 13704 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004098-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/26169/9fs5ix
title: Documentation.docx
DOI: 10.7910/dvn/26169/cfwmwn
title: Code description.docx
DOI: 10.7910/dvn/26169/exfcdf
title: Form C.xls
DOI: 10.7910/dvn/26169/mkaor3
title: Form B.xls
DOI: 10.7910/dvn/26169/qydh4n
title: Project details.xlsx
DOI: 10.7910/dvn/26169/t8xuig
title: Form A.xls
DOI: 10.15468/dl.87shah
title: Occurrence Download

description: A dataset containing 30527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-76.17369 8.745,-76.12143 7.90884,-75.233 7.42107,-74.58846 7.90884,-74.04844 7.9611,-73.57809 7.92626,-73.35163 8.46628,-73.17743 8.9192,-73.40779 9.20336,-73.16001 9.54411,-73.00323 9.9622,-72.91156 10.31817,-72.86387 10.85062,-73.26453 11.05966,-73.66519 11.07708,-74.08328 11.05966,-74.32716 10.67642,-74.7104 10.43254,-74.78008 10.95514,-75.18074 10.79836,-75.37237 10.41512,-75.45947 9.87509,-75.54657 9.47443,-75.94723 9.26539,-76.17369 8.745))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 30527 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004099-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/26298/0uzh9c
title: LPHARROW.XLS
DOI: 10.7910/dvn/26298/1htyhd
title: CROPESTA.XLS
DOI: 10.7910/dvn/26298/82vglf
title: DEMOG.xlsx
DOI: 10.7910/dvn/26298/8zmiwq
title: LPDUKIT.XLS
DOI: 10.7910/dvn/26298/bblr5t
title: PESTCTRL.XLS
DOI: 10.7910/dvn/26298/c2dpaj
title: OTNUTINP.XLS
DOI: 10.7910/dvn/26298/cb4ptd
title: LPPLOW.XLS
DOI: 10.7910/dvn/26298/cxzfr8
title: HARVTHRE.XLS
DOI: 10.7910/dvn/26298/di4ad9
title: HAULDRCL.XLS
DOI: 10.7910/dvn/26298/dncd7f
title: The Effects of Pumping on water use and profitability UPRIIS_Pie Moya.doc
DOI: 10.7910/dvn/26298/eo8tid
title: INCOME.XLS
DOI: 10.7910/dvn/26298/gi2gxo
title: PARCPLOT.XLS
DOI: 10.7910/dvn/26298/hmzu0q
title: LPLEVEL.XLS
DOI: 10.7910/dvn/26298/id9zyx
title: HERB.XLS
DOI: 10.7910/dvn/26298/jcvgde
title: LABORUSE.xls
DOI: 10.7910/dvn/26298/kflxsf
title: LPDIKEREPAIR.xls
DOI: 10.7910/dvn/26298/lrt064
title: IRRIG.XLS
DOI: 10.7910/dvn/26298/mh3odp
title: H2OSKED1.XLS
DOI: 10.7910/dvn/26298/n6jtuf
title: CHEMFERT.XLS
DOI: 10.7910/dvn/26298/otdt9w
title: RODENT.XLS
DOI: 10.7910/dvn/26298/ptfdnt
title: FARMCHAR.XLS
DOI: 10.7910/dvn/26298/q02swk
title: LPROTAV.XLS
DOI: 10.7910/dvn/26298/strdn3
title: HANDWEED.XLS
DOI: 10.7910/dvn/26298/tfg4ur
title: INS.XLS
DOI: 10.7910/dvn/26298/vltgm6
title: H2OSKED2.XLS
DOI: 10.7910/dvn/26298/xfiarb
title: PRODN.XLS
DOI: 10.7910/dvn/26298/zsytci
title: MOLL.XLS
DOI: 10.7910/dvn/26298/bulhdp
title: Project details.xlsx
DOI: 10.15468/dl.vaxbvk
title: Occurrence Download

description: A dataset containing 323013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptophyta"
 ]
}

 The dataset includes 323013 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004097-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bggedu
title: Occurrence Download

description: A dataset containing 113419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia villosa Roth"
 ]
}

 The dataset includes 113419 records from 1186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004100-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb4nk8
title: Occurrence Download

description: A dataset containing 49991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Haliaeetus albicilla (Linnaeus, 1758)"
 ]
}

 The dataset includes 49991 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069721-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9usmdu
title: Occurrence Download

description: A dataset containing 1522716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melastomataceae"
 ]
}

 The dataset includes 1522716 records from 1708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017155-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg4pms
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.89771 41.62105,-0.88988 41.62105,-0.88988 41.62819,-0.89771 41.62819,-0.89771 41.62105))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae",
 "Year 2024-2025"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042724-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25909/30271249.v2
title: Atmospheric boundary layer data collected at the Atmospheric Boundary Layer Research Facility of the University of Adelaide

description: The atmospheric boundary layer data includes wind velocities in three components, temperatures and measurement time collected by 14 ultrasonic anemometers at the Atmospheric Boundary Layer Research Facility on the Roseworthy campus of the University of Adelaide.Five anemometers are located at 1.6 m, 3 m, 4.6 m, 7.9 m, and 12 m high on a 12-m mast and the others are all located at 3 m high. The detailed locations can be found in the attached document named "Ultralsonic anemometer locations at the ABLSF.pdf".Some data, such as the one named "20250525_ultrasonicData.mat", has a wind direction issue. It shows that the horizontal wind speeds at 4.6 m high are smaller than those ones at 3 m high. The reason could be that if the flow direction is from the north-east, the anemometers at 3 m and 4.6 m high are likely to be in the wake of the large heliostat. This does depend on the heliostat position and wind direction in which the anemometers are affected. The data named "20230513_ultrasonicData.mat" does not have this issue, while others have not been checked.Please note that this data must be used according to the CC BY-NC-SA 4.0 license.
DOI: 10.15468/dl.f5ybyh
title: Occurrence Download

description: A dataset containing 7212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((7.45878 50.10929,8.7144 43.25167,13.49541 44.55559,19.67692 38.95359,30.54286 41.80288,30.92921 49.43319,21.70523 51.4615,7.45878 50.10929))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlidonias leucopterus"
 ]
}

 The dataset includes 7212 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042723-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/rbgf-8316-1c0f
title: R/V Ron Brown Ceilometer - Leg 1. Version 1.0

description: This dataset contains hourly ceilometer data, 10 minute ceilometer data, 15 second ceilometer data, and cloud fraction statistics. The hourly ceilometer data, 10 minute ceilometer data, and cloud fraction statistics were generated from the 15 second ceilometer data. The dataset was collected during leg 1 of the EPIC2001 cruise.
DOI: 10.15468/dl.2ykke6
title: Occurrence Download

description: A dataset containing 7444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera ciliaris"
 ]
}

 The dataset includes 7444 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96xzhe
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.21425 38.73106,0.22062 38.73106,0.22062 38.73678,0.21425 38.73678,0.21425 38.73106))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042722-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28912387
title: hTERT rs2735940 polymorphism influences lung cancer risk and overall survival in lung cancer patients undergoing platinum-based doublet chemotherapy

description: The hTERT gene is an essential part of the telomerase enzyme, preserving telomere length and encouraging cellular immortality. The study aimed to investigate whether the TERT gene SNP was associated with an increased risk of lung cancer in the North Indian population. 387 lung cancer patients undergoing platinum-based chemotherapy and 384 healthy controls were genotyped for the TERT variant rs2735940 (T&gt;C) using PCR-RFLP. The study aimed to determine the significant association between the TERT genetic variant and lung cancer risk. Patients carrying homozygous mutant genotype (CC) for rs2735940 showed a significant association (0 R = 2.4, <i>p</i> = 0.03). Furthermore, in dominant model, the combination genotype (TC+CC) showed an increased risk of lung cancer susceptibility with an AOR of 1.67 (<i>p</i> = 0.0016). For TERT rs2735940, individuals with SCLC carrying the mutant genotype (CC) were significantly more likely to develop lung cancer (<i>p</i> = 0.0004). Our results also showed that lung cancer patients carrying the TERT rs2735940 genetic variant who received a combination of docetaxel and cisplatin/carboplatin had better prognosis as compared to alternative chemotherapy regimens. Our study associates’ chemotherapy toxicities in North Indian lung cancer patients and the TERT polymorphism rs2735940, delivering insights for improving biomarker development and individualized treatment.
DOI: 10.6084/m9.figshare.28912387.v1
title: hTERT rs2735940 polymorphism influences lung cancer risk and overall survival in lung cancer patients undergoing platinum-based doublet chemotherapy

description: The hTERT gene is an essential part of the telomerase enzyme, preserving telomere length and encouraging cellular immortality. The study aimed to investigate whether the TERT gene SNP was associated with an increased risk of lung cancer in the North Indian population. 387 lung cancer patients undergoing platinum-based chemotherapy and 384 healthy controls were genotyped for the TERT variant rs2735940 (T&gt;C) using PCR-RFLP. The study aimed to determine the significant association between the TERT genetic variant and lung cancer risk. Patients carrying homozygous mutant genotype (CC) for rs2735940 showed a significant association (0 R = 2.4, <i>p</i> = 0.03). Furthermore, in dominant model, the combination genotype (TC+CC) showed an increased risk of lung cancer susceptibility with an AOR of 1.67 (<i>p</i> = 0.0016). For TERT rs2735940, individuals with SCLC carrying the mutant genotype (CC) were significantly more likely to develop lung cancer (<i>p</i> = 0.0004). Our results also showed that lung cancer patients carrying the TERT rs2735940 genetic variant who received a combination of docetaxel and cisplatin/carboplatin had better prognosis as compared to alternative chemotherapy regimens. Our study associates’ chemotherapy toxicities in North Indian lung cancer patients and the TERT polymorphism rs2735940, delivering insights for improving biomarker development and individualized treatment.
DOI: 10.34740/kaggle/dsv/13248861
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.usbzcu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anas discors",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042726-250920141307145/datasets/export for details.
DOI: 10.15468/dl.9pyan5
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anas discors",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5brch
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anas discors",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042728-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.15878669
title: Data and code for NCAA Volleyball second contact rule change analysis

description: This deposit contains all of the data and code needed to reproduce the analyses in the manuscript “Impact of the Second-Contact Rule Change on Setter Performance, Referee Home Advantage, and Rally Dynamics in NCAA Volleyball.”

Contents:





RawData: 30 raw CSV files of match-, team-, and player-level data for both the 2022–23 and 2023–24 seasons, across five sex–division combinations. These files represent aggregations of all individual box scores from that sex-division-season. There is also a sub-folder (Conferences) which contains 10 matching listing of teams by sex-division-season used in assigning NCAA divisions (and conferences, though that is not used in the current study).




WorkingData: Three processed CSV files (analysis_ready_matches.csv, analysis_ready_teams.csv, analysis_ready_players.csv) generated by the DataPrep script.




Code:





DataPrep.R: R script that reads the raw data, cleans and aggregates it, and saves the working CSVs.




FullOutput.Rmd: R Markdown file that loads the working data and generates all tables and figures in the manuscript, with additional elements for reference.





Reproducibility: Run Rscript Code/DataPrep.R to recreate the working data, then render the Rmd via Code/FullOutput.Rmd"). See README.md for detailed instructions.

License: Data released under CC BY 4.0; code released under the MIT License.

Citation: Please cite this deposit as:

Forman, J. (2025). Data and code for NCAA volleyball second contact rule change analysis [data set]. Zenodo. https://doi.org/10.5281/zenodo.15878670

Update (February 2025):These data and analysis scripts underpin the article now published in Journal of Sports Sciences:

Forman, J. (2025). Impact of the Second-Contact Rule Change on Setter Performance, Referee Home Advantage, and Rally Dynamics in NCAA Volleyball. Journal of Sports Sciences. https://doi.org/10.1080/02640414.2025.2567806

Please cite the journal article when referencing the findings, and cite this Zenodo record when re-using the dataset or code.
DOI: 10.5281/zenodo.15878670
title: Data and code for NCAA Volleyball second contact rule change analysis

description: This deposit contains all of the data and code needed to reproduce the analyses in the manuscript “Impact of the Second-Contact Rule Change on Setter Performance, Referee Home Advantage, and Rally Dynamics in NCAA Volleyball.”

Contents:





RawData: 30 raw CSV files of match-, team-, and player-level data for both the 2022–23 and 2023–24 seasons, across five sex–division combinations. These files represent aggregations of all individual box scores from that sex-division-season. There is also a sub-folder (Conferences) which contains 10 matching listing of teams by sex-division-season used in assigning NCAA divisions (and conferences, though that is not used in the current study).




WorkingData: Three processed CSV files (analysis_ready_matches.csv, analysis_ready_teams.csv, analysis_ready_players.csv) generated by the DataPrep script.




Code:





DataPrep.R: R script that reads the raw data, cleans and aggregates it, and saves the working CSVs.




FullOutput.Rmd: R Markdown file that loads the working data and generates all tables and figures in the manuscript, with additional elements for reference.





Reproducibility: Run Rscript Code/DataPrep.R to recreate the working data, then render the Rmd via Code/FullOutput.Rmd"). See README.md for detailed instructions.

License: Data released under CC BY 4.0; code released under the MIT License.

Citation: Please cite this deposit as:

Forman, J. (2025). Data and code for NCAA volleyball second contact rule change analysis [data set]. Zenodo. https://doi.org/10.5281/zenodo.15878670

Update (February 2025):These data and analysis scripts underpin the article now published in Journal of Sports Sciences:

Forman, J. (2025). Impact of the Second-Contact Rule Change on Setter Performance, Referee Home Advantage, and Rally Dynamics in NCAA Volleyball. Journal of Sports Sciences. https://doi.org/10.1080/02640414.2025.2567806

Please cite the journal article when referencing the findings, and cite this Zenodo record when re-using the dataset or code.