cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24406892.v1
title: Additional file 2 of UGDH promotes tumor-initiating cells and a fibroinflammatory tumor microenvironment in ovarian cancer

description: Additional file 2: Supplementary Table 1. Correlative analyses by Fisher's exact test of UGDH expression and localization with recurrence and survival status, and progression-free and overall survival analysis by Log-rank(Mantel-Cox) analysis in high grade serous ovarian cancers. Cytoplasmic High=moderate+strong, Low=negative+weak. Nuclear High = high, Low= low + negative.
DOI: 10.15468/dl.pv2epf
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.726584 -33.283273, 148.726584 -33.285519, 148.724338 -33.285519, 148.724338 -33.287765, 148.726584 -33.287765, 148.726584 -33.290011, 148.72883 -33.290011, 148.72883 -33.294502, 148.733321 -33.294502, 148.733321 -33.290011, 148.735567 -33.290011, 148.735567 -33.285519, 148.72883 -33.285519, 148.72883 -33.283273, 148.726584 -33.283273))"
 ]
}

 The dataset includes 113 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068620-240626123714530/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.26629165
title: Additional file 9 of Circulating neutrophils from patients with early breast cancer have distinct subtype-dependent phenotypes

description: Additional file 9. The raw data used for the analysis.
DOI: 10.6084/m9.figshare.24406913
title: Additional file 2 of Using the multiphase optimization strategy to adapt cognitive processing therapy (CPT MOST): study protocol for a randomized controlled factorial experiment

description: Additional file 2.
DOI: 10.6084/m9.figshare.26629165.v1
title: Additional file 9 of Circulating neutrophils from patients with early breast cancer have distinct subtype-dependent phenotypes

description: Additional file 9. The raw data used for the analysis.
DOI: 10.6084/m9.figshare.24406913.v1
title: Additional file 2 of Using the multiphase optimization strategy to adapt cognitive processing therapy (CPT MOST): study protocol for a randomized controlled factorial experiment

description: Additional file 2.
DOI: 10.15468/dl.pysmvv
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Material citation, Material sample)",
 "Country is Ecuador",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, University of Michigan Museum of Zoology, Division of Birds, Museum of Comparative Zoology, Harvard University, Xeno-canto - Bird sounds from around the world, WFVZ Bird Collections, Academy of Natural Sciences of Philadelphia Ornithology Collection, International Barcode of Life project (iBOL), Macaulay Library Audio and Video Collection, Observation.org, Nature data from around the World)",
 "GadmGid is one of (ECU.7.5.2_1, ECU.7.5_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068622-240626123714530/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.26581700
title: Additional file 3 of SLC27A2 mediates FAO in colorectal cancer through nongenic crosstalk regulation of the PPARs pathway

description: Additional file 3: Supplementary Table 1. primers.
DOI: 10.6084/m9.figshare.26581700.v1
title: Additional file 3 of SLC27A2 mediates FAO in colorectal cancer through nongenic crosstalk regulation of the PPARs pathway

description: Additional file 3: Supplementary Table 1. primers.
DOI: 10.25422/azu.data.14272619.v1
title: Magnolia Scale Pheno Forecast, Contiguous United States, 2016 - Current Year

description: Pheno Forecast maps predict key life cycle stages in a range of species 
to improve conservation and management outcomes. For insect pest 
species, Pheno Forecasts are based on published growing degree day (GDD)
 thresholds for key points in species life cycles. These key points 
typically represent life cycle stages when management actions are most 
effective. These maps are updated daily and available 6 days in the 
future. Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). We forecast crawler emergence in magnolia scale (<i>Neolecanium 
cornuparvum</i>) at 1938F growing degree days (base 50F, start date: January
 1, double sine GDD method). Crawlers emerge after hatching internally 
from adults in late summer into early fall. Treatments are often applied
 when crawlers emerge from their eggs and before they develop their 
protective waxy coating.<br><br><i>For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy.</i>
DOI: 10.15468/dl.rptd7z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.641243 -33.285519, 148.641243 -33.287765, 148.643489 -33.287765, 148.643489 -33.285519, 148.641243 -33.285519))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068623-240626123714530/datasets/export for details.
DOI: 10.6073/pasta/3f08391bdf51583bd4282e697485201d
title: Interagency Ecological Program: Phytoplankton monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 2008-2023

description: The State Water Resources Control Board (SWRCB) sets water quality objectives to protect beneficial uses of water in the Sacramento-San Joaquin Delta and Suisun Bay. These objectives are met by establishing standards mandated in water right permits issued to the Department of Water Resources and U.S. Bureau of Reclamation by the SWRCB. The standards include minimum Delta outflows, limits to Delta water export by the State Water Project (SWP) and the Central Valley Project (CVP), and maximum allowable salinity levels.
 
 In 1971, the State Water Resources Control Board (SWRCB) established Water Right Decision 1379 (D-1379). This Decision contained new water quality requirements for the San Francisco Bay-Delta Estuary. D-1379 was also the first water right decision to provide terms and conditions for a comprehensive monitoring program to routinely determine water quality conditions and changes in environmental conditions within the estuary. The monitoring program described in D-1379 was developed by the Stanford Research Institute through a contract with the SWRCB. Implementation of the monitoring program began in 1972, as SWRCB, DWR, and USBR met to define their individual responsibilities for various elements of the monitoring program. In 1978, amendments to water quality standards were implemented and resulted in Water Right Decision 1485 (D-1485). More recently these standards were again amended under the 1995 Water Quality Control Plan and Water Right Decision 1641 (D-1641) established in 1999. The SWP and CVP are currently operated to comply with the monitoring and reporting requirements described in D-1641. D-1641 requires DWR and USBR to conduct a comprehensive environmental monitoring program to determine compliance with the water quality standards and also to submit an annual report to SWRCB discussing data collected.
 
 The phytoplankton monitoring program is one element of DWR’s and USBR’s Environmental Monitoring Program (EMP) conducted under the Interagency Ecological Program (IEP) umbrella. The EMP also includes monitoring of water quality, zooplankton, and benthic organisms. The overall objective of the phytoplankton monitoring program is to determine the impacts of water project operations on the estuary. These impacts are interpreted by changes in phytoplankton diversity, abundance, and distribution associated with physical and other biological factors in the estuary.
 
 Links to other EMP datasets can be found [here](https://emp-des.github.io/emp-reports/data-links.html).
DOI: 10.15468/dl.5kmzy3
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena sinus Norris & McFarland, 1958"
 ]
}

 The dataset's 2 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068614-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g5n74
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.154525 -33.287765, 147.154525 -33.294502, 147.15677 -33.294502, 147.15677 -33.287765, 147.154525 -33.287765))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068624-240626123714530/datasets/export for details.
DOI: 10.15468/dl.bztuj5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.634506 -33.287765, 148.634506 -33.290011, 148.636752 -33.290011, 148.636752 -33.287765, 148.634506 -33.287765))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068625-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26629300
title: Additional file 7 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 7: Table S8. Table giving results of the HOMER motif enrichment analysis for the human hematopoietic system data. Columns from left to right are: motif; consensus sequence; (base-10 logarithm of) the enrichment p-value for the 10 topics.
DOI: 10.6084/m9.figshare.26629297
title: Additional file 6 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 6: Table S7. Table giving detailed statistics about genes identified in the gene enrichment analysis for the Mouse Atlas kidney cells. All genes with log-Bayes factor &gt; 17 are included in this table (here, we use the natural logarithm). Assuming (conservatively) that 1 out of the 22,142 tested genes is enriched, this Bayes factor corresponds to a posterior odds (PO) of $$\text {PO} = e^{17}/\text {22,142} \approx \text {1,000}$$ PO = e 17 / 22,142 ≈ 1,000 , or a posterior probability of about 0.999. Columns from left to right are: topic; gene symbol; Ensembl gene id; log-Bayes factor; average l.e. LFC from differentially accessible peaks connected to the gene (lfsr &lt; 0.05).
DOI: 10.6084/m9.figshare.26629285.v1
title: Additional file 2 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 2: Tables S1, S2. Tables giving detailed statistics about DE genes identified in GoM DE analyses of PBMC (Table S1) and epithelial airway data (Table S2), with lfsr less than 0.01. Columns from left to right are: topic; ensembl id of gene (Table S1 only); gene symbol; posterior mean estimate of the l.e. LFC; posterior z-score; lfsr.
DOI: 10.6084/m9.figshare.26629288
title: Additional file 3 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 3: Tables S3–S6. Tables summarizing results of gene set enrichment analyses for PBMC (Tables S3, S4) and mouse epithelial airway data (Tables S5, S6). Columns from left to right are: topic; credible set (CS); log-Bayes factor (lbf); posterior inclusion probability (pip); SuSiE posterior mean estimate of the enrichment coefficient (coef); gene set name; gene set id; database; accession, when applicable; sub-category code, when applicable; organism; brief description of the gene set; and a list of the top 10 genes, defined as the members of the gene set with the largest l.e. LFC (by magnitude).
DOI: 10.6084/m9.figshare.26629288.v1
title: Additional file 3 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 3: Tables S3–S6. Tables summarizing results of gene set enrichment analyses for PBMC (Tables S3, S4) and mouse epithelial airway data (Tables S5, S6). Columns from left to right are: topic; credible set (CS); log-Bayes factor (lbf); posterior inclusion probability (pip); SuSiE posterior mean estimate of the enrichment coefficient (coef); gene set name; gene set id; database; accession, when applicable; sub-category code, when applicable; organism; brief description of the gene set; and a list of the top 10 genes, defined as the members of the gene set with the largest l.e. LFC (by magnitude).
DOI: 10.6084/m9.figshare.26629297.v1
title: Additional file 6 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 6: Table S7. Table giving detailed statistics about genes identified in the gene enrichment analysis for the Mouse Atlas kidney cells. All genes with log-Bayes factor &gt; 17 are included in this table (here, we use the natural logarithm). Assuming (conservatively) that 1 out of the 22,142 tested genes is enriched, this Bayes factor corresponds to a posterior odds (PO) of $$\text {PO} = e^{17}/\text {22,142} \approx \text {1,000}$$ PO = e 17 / 22,142 ≈ 1,000 , or a posterior probability of about 0.999. Columns from left to right are: topic; gene symbol; Ensembl gene id; log-Bayes factor; average l.e. LFC from differentially accessible peaks connected to the gene (lfsr &lt; 0.05).
DOI: 10.6084/m9.figshare.26629294.v1
title: Additional file 5 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 5. Interactive volcano plots for epithelial airway data. Interactive volcano plots for browsing the results from the GoM DE analyses of the mouse epithelial airway data. Detailed l.e. LFC statistics are displayed on mouseover: lower and upper limit of HPD interval; posterior mean estimate; posterior z-score; and lfsr. The maximum-likelihood estimate of the expression rate, $$p_{j0}$$ p j 0 , in the “null” expression model (12) is also given. Note that the lower and upper HPD intervals were not updated in the adaptive shrinkage step and therefore should be ignored.
DOI: 10.15468/dl.wcage9
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 485ff490-e3b7-11db-9acc-b8a03c50a862, b459e790-0d3c-11d9-8431-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862)",
 "TaxonKey is Alamania punicea Lex."
 ]
}

 The dataset includes 70 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068626-240626123714530/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.24406736
title: Additional file 1 of An epidemiological surveillance study (2021–2022): detection of a high diversity of Clostridioides difficile isolates in one tertiary hospital in Chongqing, Southwest China

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24406736.v1
title: Additional file 1 of An epidemiological surveillance study (2021–2022): detection of a high diversity of Clostridioides difficile isolates in one tertiary hospital in Chongqing, Southwest China

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26629285
title: Additional file 2 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 2: Tables S1, S2. Tables giving detailed statistics about DE genes identified in GoM DE analyses of PBMC (Table S1) and epithelial airway data (Table S2), with lfsr less than 0.01. Columns from left to right are: topic; ensembl id of gene (Table S1 only); gene symbol; posterior mean estimate of the l.e. LFC; posterior z-score; lfsr.
DOI: 10.6084/m9.figshare.26629291
title: Additional file 4 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 4. Interactive volcano plots for PBMC data. Interactive volcano plots for browsing the results from the GoM DE analyses of the PBMC data. Detailed l.e. LFC statistics are displayed on mouseover: lower and upper limit of HPD interval; posterior mean estimate; posterior z-score; and lfsr. The maximum-likelihood estimate of the expression rate, $$p_{j0}$$ p j 0 , in the “null” expression model (12) is also given. Note that the lower and upper HPD intervals were not updated in the adaptive shrinkage step and therefore should be ignored.
DOI: 10.6084/m9.figshare.26629294
title: Additional file 5 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 5. Interactive volcano plots for epithelial airway data. Interactive volcano plots for browsing the results from the GoM DE analyses of the mouse epithelial airway data. Detailed l.e. LFC statistics are displayed on mouseover: lower and upper limit of HPD interval; posterior mean estimate; posterior z-score; and lfsr. The maximum-likelihood estimate of the expression rate, $$p_{j0}$$ p j 0 , in the “null” expression model (12) is also given. Note that the lower and upper HPD intervals were not updated in the adaptive shrinkage step and therefore should be ignored.
DOI: 10.6084/m9.figshare.26629291.v1
title: Additional file 4 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 4. Interactive volcano plots for PBMC data. Interactive volcano plots for browsing the results from the GoM DE analyses of the PBMC data. Detailed l.e. LFC statistics are displayed on mouseover: lower and upper limit of HPD interval; posterior mean estimate; posterior z-score; and lfsr. The maximum-likelihood estimate of the expression rate, $$p_{j0}$$ p j 0 , in the “null” expression model (12) is also given. Note that the lower and upper HPD intervals were not updated in the adaptive shrinkage step and therefore should be ignored.
DOI: 10.6084/m9.figshare.26629300.v1
title: Additional file 7 of GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

description: Additional file 7: Table S8. Table giving results of the HOMER motif enrichment analysis for the human hematopoietic system data. Columns from left to right are: motif; consensus sequence; (base-10 logarithm of) the enrichment p-value for the 10 topics.
DOI: 10.5281/zenodo.13297385
title: PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance

description: Recently, artificial intelligence techniques for education have been received increasing attentions, while it still remains an open problem to design the effective music instrument instructing systems. Although key presses can be directly derived from sheet music, the transitional movements among key presses require more extensive guidance in piano performance. In this work, we construct a piano-hand motion generation benchmark to guide hand movements and fingerings for piano playing. To this end, we collect an annotated dataset, PianoMotion10M, consisting of 116 hours of piano playing videos from a bird's-eye view with 10 million annotated hand poses. We also introduce a powerful baseline model that generates hand motions from piano audios through a position predictor and a position-guided gesture generator. Furthermore, a series of evaluation metrics are designed to assess the performance of the baseline model, including motion similarity, smoothness, positional accuracy of left and right hands, and overall fidelity of movement distribution. Despite that piano key presses with respect to music scores or audios are already accessible, PianoMotion10M aims to provide guidance on piano fingering for instruction purposes.
DOI: 10.5281/zenodo.13297386
title: PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance

description: Recently, artificial intelligence techniques for education have been received increasing attentions, while it still remains an open problem to design the effective music instrument instructing systems. Although key presses can be directly derived from sheet music, the transitional movements among key presses require more extensive guidance in piano performance. In this work, we construct a piano-hand motion generation benchmark to guide hand movements and fingerings for piano playing. To this end, we collect an annotated dataset, PianoMotion10M, consisting of 116 hours of piano playing videos from a bird's-eye view with 10 million annotated hand poses. We also introduce a powerful baseline model that generates hand motions from piano audios through a position predictor and a position-guided gesture generator. Furthermore, a series of evaluation metrics are designed to assess the performance of the baseline model, including motion similarity, smoothness, positional accuracy of left and right hands, and overall fidelity of movement distribution. Despite that piano key presses with respect to music scores or audios are already accessible, PianoMotion10M aims to provide guidance on piano fingering for instruction purposes.
DOI: 10.25422/azu.data.14272598.v2
title: Spongy Moth Pheno Forecast, Contiguous United States, 2016 - Current Year

description: Pheno Forecast maps predict key life cycle stages in a range of species 
to improve conservation and management outcomes. For insect pest 
species, Pheno Forecasts are based on published growing degree day (GDD)
 thresholds for key points in species life cycles. These key points 
typically represent life cycle stages when management actions are most 
effective. These maps are updated daily and available 6 days in the 
future. We forecast caterpillar emergence in spongy moth (<i>Lymantria 
dispar</i>) at 571F growing degree days (base 37.5F, upper threshold 104F, 
start date: January 1, double sine GDD method). Forecasts are available for the current and prior year in the USA-NPN Visualization Tool (https://www.usanpn.org/data/visualizations) and 2016-present through USA-NPN Geo Web Services (available upon request). Spongy moth egg masses hatch in late spring and the caterpillars feed 
extensively on many types of trees. Certain control measures are most 
effective when caterpillars have recently emerged from their egg masses.<br><br><i>For all inquiries regarding this dataset, please contact the USA-NPN. This data is subject to the USA-NPN's Data Use Policy. </i>