cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7rxzjw
title: Occurrence Download

description: A dataset containing 24402009 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 24402009 records were derived from 60472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010623-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu3sue
title: Occurrence Download

description: A dataset containing 2992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 {
 "or" : [
 "StateProvince is Cordillera",
 "StateProvince is Paraguarí Department",
 "StateProvince is Paraguari Dept.",
 "StateProvince is Paraguari Dpt.",
 "StateProvince is Paraguari dpt.",
 "StateProvince is Ñeembucu",
 "StateProvince is Ñeembucú",
 "StateProvince is Ñeebucú",
 "StateProvince is Misiones Departamento",
 "StateProvince is Misiones Department",
 "StateProvince is Misiones Dept.",
 "StateProvince is San Pedro Departamento",
 "StateProvince is San Pedro Department",
 "StateProvince is San Pedro Dept.",
 "StateProvince is Concepción Dept.",
 "StateProvince is Amambay",
 "StateProvince is Amambay Departamento",
 "StateProvince is Amambay Dept."
 ]
 },
 "TaxonKey is Asteraceae"
 ]
}

 The dataset includes 2992 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013162-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykkijh
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galictis cuja (Molina, 1782)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 187 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008478-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8uc9e
title: Occurrence Download

description: A dataset listing the 251 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventarios de flora y fauna en bosques de niebla del municipio de Chámeza, Casanare"
 ]
}

 The dataset's 251 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311665-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.845zhw
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.24625267665956 39.064659625100376,117.24625267665956 39.064659625100376,117.24625267665956 43.064659625100376,113.24625267665956 43.064659625100376,113.24625267665956 39.064659625100376))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus L."
 ]
}

 The dataset includes 134 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078913-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8gcf9
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cheilodipterus novemstriatus (Rüppell, 1838))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051875-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkblcy
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mesophyllum erubescens (Foslie) M.Lemoine",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 368 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008478-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x35jrd
title: Occurrence Download

description: A dataset containing 12604 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meriones Illiger, 1811"
 ]
}

 The dataset includes 12604 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231144-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmt4h5
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllomedusa venusta Duellman & Trueb, 1967",
 "Year 1971-2021"
 ]
}

 The dataset includes 162 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295937-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewf3zv
title: Occurrence Download

description: A dataset containing 7580 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelgidillas gracilirostris (Strickland, 1844)"
 ]
}

 The dataset includes 7580 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0398178-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xtfm7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peperomia peltifolia C.DC."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009358-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwwv8e
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "Geometry POLYGON((8.52816 22.37258,121.47184 22.37258,121.47184 67.62742,8.52816 67.62742,8.52816 22.37258))",
 "HasCoordinate is true",
 "TaxonKey is Artemisia salsoloides Willd.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008478-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j7r2z
title: Occurrence Download

description: A dataset containing 1760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-120.4561 33.29434,-118.14697 34.12545,-118.76221 35.44277,-121.06308 35.60383,-120.4561 33.29434))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lasioglossum incompletum (Crawford, 1907)"
 ]
}

 The dataset includes 1760 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078916-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdvgc6
title: Occurrence Download

description: A dataset containing 3306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spathodea campanulata Beauverd)",
 "HasCoordinate is one of (true)"
 ]
}

 The dataset includes 3306 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0317060-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkvxbw
title: Occurrence Download

description: A dataset containing 1098293 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranidae"
 ]
}

 The dataset includes 1098293 records from 1549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231133-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/cqvrsy
title: Microbiological and physicochemical parameters of raw milk samples

description: Zbiór danych zawiera parametry fizykochemiczne (pH, zawartość tłuszczu, białka, SH, ciężar właściwy), mikrobiologiczne (ogólna liczba bakterii oraz wyniki identyfikacji wyizolowanych bakterii), a także dane dotyczące liczby komórek somatycznych w próbkach mleka surowego. Zbiór danych został opracowany w celu zbadania wpływu zmian sezonowych na wskaźniki mikrobiologiczne i biochemiczne mleka. Zbiór danych również zawiera Raporty identyfikacji izolatów bakteryjnych mleka. Są to dokumenty wygenerowane przy wykorzystaniu dedykowanego oprogramowania MBT Compass 4.1 (Bruker Daltonics) do porównania widma masowego nieznanego organizmu z biblioteką referencyjnych widm masowych MALDI Biotyper (MBT) Library.
DOI: 10.18150/hhx375
title: LDI-MS analysis of bacteria isolated from milk

description: Results of bacterial identification from milk samples using MALDI-TOF MS with two systems: Bruker Microflex LT and Zybio EXS2600. The dataset also includes PCR analysis results for 10 selected milk-derived bacterial isolates, as well as NALDI-TOF MS data obtained from lipid extracts of the corresponding strains.
DOI: 10.5281/zenodo.4569158
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.12143562.v2
title: A mass and energy conservation analysis of drift in the CMIP6 ensemble: supplementary metadata

description: This repository contains the details of the computational aspects of the following study: <br>Irving D, Hobbs W, Church J & Zika J (submitted)<i>.</i> A mass and energy conservation analysis of drift in the CMIP6 ensemble. <i>Journal of Climate. </i> <br>The figures in the paper were generated by running a series of Python scripts at the command line. Those commands (denoted by the $ prompt) are outlined below with additional notes where necessary.<br>Any scripts in this repository that aren't referred to by name below are modules that are used by some/all of the scripts.<br><br>The software environment that the scripts were executed in is described by <i>environment.yml</i>. That environment can be installed using conda:$ conda env create -f environment.yml<br><br>(See https://docs.conda.io/en/latest/ for details.)<br><br><b>Figure 1</b><br>$ python plot_global_budget_variables.py ACCESS-CM2 r1i1p1f1 cmip6 --compfile figure1.png<br><br>In addition to creating a plot for one particular model, the <i>plot_global_budget_variables.py</i> script writes a text file containing the various trends/drifts and regression coefficients presented in the paper. The trends and coefficients for every model were stored in <i>drifts.csv</i> and <i>regression_coefficients.csv</i> respectively, which were then used to create most of the figures below.<br><br><b>Figure 2 </b><br><br>$ python plot_ohc_masso.py figure2.png --models ACCESS-CM2 ACCESS-ESM1-5 BCC-CSM2-MR BCC-ESM1 CNRM-CM6-1 CNRM-ESM2-1 E3SM-1-0 E3SM-1-1 EC-Earth3 EC-Earth3-Veg GFDL-CM4 GISS-E2-1-G GISS-E2-1-G-CC HadGEM3-GC31-LL IPSL-CM6A-LR MPI-ESM-1-2-HAM MPI-ESM1-2-HR MPI-ESM1-2-LR UKESM1-0-LL --runs r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f2 r1i1p1f2 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f2 --colors tab:blue tab:blue tab:orange tab:orange tab:green tab:green tab:red tab:red tab:purple tab:purple tab:brown tab:brown tab:pink tab:pink tab:olive tab:olive tab:cyan tab:cyan tab:gray --linestyles solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid --ohc_outlier 1e24 --runmean_window 10<br><br><b>Figure 3</b><br><br>$ python plot_ohc_drift.py drifts.csv figure3.png<br><br><b>Figure 4 (and Table 4)</b><br><br>$ python plot_conservation_scatter.py drifts.csv figure4.png <br><br>In addition to creating a plot, the <i>plot_conservation_scatter.py</i> script outputs the ensemble median and interquartile range values shown in Table 4.<br><br><b>Figure 5</b><br><br>$ python plot_leakage.py drifts.csv figure5.png<br><br><b>Figure 6</b><br><br>$ python plot_regression_boxplot.py regression_coefficients.csv figure6.png<br><br><b>Figure S1</b><br><br>$ python plot_regression_coefs.py drifts.csv energy figureS1.png --cmip_line 21.5<br><br><b>Figure S2</b><br><br>$ python plot_regression_coefs.py drifts.csv mass figureS2.png --cmip_line 21.5<br>
DOI: 10.6084/m9.figshare.11833509
title: SM to GaoP2021GSAB

description: Supplementary materials used in GaoP2021GSAB
DOI: 10.3886/e108643v1-80180
title: Intergenerational Mobility within and between Canada and the United States

description: This is the data archive for the article "Intergenerational Mobility within and between Canada and the United States" by Marie Connolly, Miles Corak and Catherine Haeck, to be published in the Journal of Labor Economics.<br>
DOI: 10.3886/e120785
title: Interpretations of Experienced Difficulty in the Classroom

description: The motivational impact of messages about how to interpret experienced difficulty with schoolwork was tested in two studies.
description: on-site questionnaire;
DOI: 10.3886/e120785v1
title: Interpretations of Experienced Difficulty in the Classroom

description: The motivational impact of messages about how to interpret experienced difficulty with schoolwork was tested in two studies.
description: on-site questionnaire;
DOI: 10.3886/e117581v1-80220
title: 2017 Annual Survey of Refugees

description: Since the 1980s, the Office of Refugee Resettlement[1] (ORR) has conducted the Annual Survey of Refugees (ASR), which collects information on refugees during their first five years after arrival in the U.S. The ASR is the only scientifically-collected source of national data on refugees’ progress toward self-sufficiency and integration. ORR uses the ASR results alongside other information sources to fulfill its Congressionally-mandated reporting requirement following the Refugee Act of 1980. <br><br>In the spring of 2018, ORR completed its 51st Annual Survey of Refugees (ASR). The data from the ASR offer a window into respondents’ first five years in the United States and show the progress that refugee families made towards learning English, participating in the workforce, and establishing permanent residence. This public use data deposit is only for the 2017 ASR with future years likely to be added to the ICPSR archive. . <br> [1] The Office of Refugee Resettlement (ORR) at the Administration for Children and Families in the U.S. Department of Health and Human Services (HHS) serves refugees and other humanitarian entrants, including asylees, Cuban and Haitian entrants, Special Immigrant Visa holders, Amerasians, victims of human trafficking, and unaccompanied children. By providing these arrived populations with critical resources, ORR promotes their economic and social well-being. Of these populations, the Annual Survey of Refugees focuses solely on refugees who have come to the U.S. in the past five fiscal years.
description: Household- and person-level analytic weights were developed for the 2017 ASR to allow for valid statistical estimates of the target refugee population. Both sets of weights are comprised of two components – a base weight reflecting the selection probability and an adjustment that corrects for differential nonresponse and aligns the population to known totals from the sampling frame (RADS universe file).
description: Response Rates: An overall response rate of 25 percent was achieved. The response rate was driven by the ability to locate and speak to (1515+534)/6006 = 32 percent of the sample, meaning that two thirds of the sample could neither be located nor (if located) successfully contacted. <br><br>The overall response rates decreased with time since arrival to the U.S., varying from 18 percent for FY 2012-13 refugees to 26 percent for FY 2014-15 refugees and a high of 34 percent for FY 2016 refugees.
description: telephone interview;
description: Refugees aged 16 years old or older at the time of interview and arrived in the U.S. during FY 2012-2016. Smallest Geographic Unit: Census region originally resettled in and the country of birth
description: The 2017 ASR employed a stratified probability sample design of refugees. The first stage of selection was the household (PA) and the second stage was the selection of persons within households. Principal features of the sample design are highlighted below.
DOI: 10.6084/m9.figshare.11833509.v2
title: SM to GaoP2021GSAB

description: Supplementary materials used in GaoP2021GSAB
DOI: 10.6084/m9.figshare.11833509.v1
title: Supplementary Materials-III to B35691

description: Dataset used in submission related to Miocene Yalaxiangbo granites, Himalaya
DOI: 10.5517/ccdc.csd.cc242jvm
title: CCDC 1968650: Experimental Crystal Structure Determination

description: Related Article: Min Liu, Haoran Li, Lan Bai, Kai Zheng, Zhipeng Zhao, Zhao Chen, Seik Weng Ng, Liwen Ding, Chenghui Zeng|2021|J.Hazard.Mater.|413|125291|doi:10.1016/j.jhazmat.2021.125291
DOI: 10.5517/ccdc.csd.cc242jwn
title: CCDC 1968651: Experimental Crystal Structure Determination

description: Related Article: Min Liu, Haoran Li, Lan Bai, Kai Zheng, Zhipeng Zhao, Zhao Chen, Seik Weng Ng, Liwen Ding, Chenghui Zeng|2021|J.Hazard.Mater.|413|125291|doi:10.1016/j.jhazmat.2021.125291
DOI: 10.5517/ccdc.csd.cc242jxp
title: CCDC 1968652: Experimental Crystal Structure Determination

description: Related Article: Min Liu, Haoran Li, Lan Bai, Kai Zheng, Zhipeng Zhao, Zhao Chen, Seik Weng Ng, Liwen Ding, Chenghui Zeng|2021|J.Hazard.Mater.|413|125291|doi:10.1016/j.jhazmat.2021.125291
DOI: 10.5517/ccdc.csd.cc26rc9n
title: CCDC 2048241: Experimental Crystal Structure Determination

description: Related Article: Yan-Ning Wang, Shao-Dan Wang, Kang-Zhe Cao, Guo-Dong Zou|2021|J.Photochem.Photobiol.A:Chem.|411|113204|doi:10.1016/j.jphotochem.2021.113204
DOI: 10.5517/ccdc.csd.cc26txlk
title: CCDC 2050699: Experimental Crystal Structure Determination

description: Related Article: Qiangwen Fan, Guorong Wu, Yong Chen, Yanling He, Longwei Zhu, Huijun Ren, Hailu Lin|2021|J.Mol.Struct.|1232|130057|doi:10.1016/j.molstruc.2021.130057
DOI: 10.6084/m9.figshare.14132369.v1
title: Ribosomal protein database of Pseudomonas fulva (strain 12-X)

description: This work presents the ribosomal protein database of <i>Pseudomonas fulva </i>(strain 12-X).<i> </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14132369
title: Ribosomal protein database of Pseudomonas fulva (strain 12-X)

description: This work presents the ribosomal protein database of <i>Pseudomonas fulva </i>(strain 12-X).<i> </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.5281/zenodo.4265471
title: Southern Australia's climate regions

description: Regional climate clusters developed using average linkage clustering on the proportion of total rainfall attributed to relevant weather types for Southern Australia. The methods used to create these clusters is described in Fiddes et al. (2021) DOI: https://doi.org/10.1071/ES20003 These clusters were developed as part of the Victorian Water and Climate Initiative.
DOI: 10.5281/zenodo.4265470
title: Southern Australia's climate regions

description: Regional climate clusters developed using average linkage clustering on the proportion of total rainfall attributed to relevant weather types for Southern Australia. The methods used to create these clusters is described in Fiddes et al. (2021) DOI: https://doi.org/10.1071/ES20003 These clusters were developed as part of the Victorian Water and Climate Initiative.
DOI: 10.6084/m9.figshare.14131679
title: Supporting Information for "Surface Transient Storage under Low-Flow Conditions in Streams with Rough Bathymetry"

description: The data and matlab code were used in the submission to Water Resources Research "Surface Transient Storage under Low-Flow Conditions in Streams with Rough Bathymetry".