cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/a08f56e49fd124069f8271d14605c910
title: Long-term trends and synchrony in dissolved organic matter characteristics in Wisconsin, USA lakes: quality, not quantity, is highly sensitive to climate

description: Dissolved organic matter (DOM) is a fundamental driver of many lake processes. In the past several decades, many lakes have exhibited a substantial increase in DOM quantity, measured as dissolved organic carbon (DOC) concentration. While increasing DOC is now widely recognized, fewer studies have sought to understand how characteristics of DOM (DOM quality) change over time. Quality can be measured in several ways, including the optical characteristics spectral slope (S275-295), spectral ratio (SR), absorbance at 254 nm (a254), and DOC-specific absorbance (SUVA; a254:DOC). However, long-term measurements of quality are not nearly as common as long-term measurements of DOC concentration. We used 24 years of DOC and absorbance data for seven lakes in the North Temperate Lakes Long Term Ecological Research site in northern Wisconsin, USA to examine temporal trends and synchrony in both DOC concentration and quality. We predicted lower SR and S275-295 and higher a254 and SUVA trends, consistent with increasing DOC and greater allochthony. DOC concentration exhibited both significant positive and negative trends among lakes. In contrast, DOC quality exhibited trends suggesting reduced allochthony or increased degradation, with significant long-term increases in SR in three lakes. Patterns and synchrony of DOM quality parameters suggest they are more responsive to climatic variations than DOC concentration. SUVA in particular tended to increase with greater moisture and decrease with drier conditions. These results demonstrate that DOC quantity and quality can exhibit different complex long-term trends and responses to climate components, with important implications for aquatic ecosystems.
DOI: 10.6073/pasta/c6e74cc14b230dc100006d0f164ce620
title: CLA Yahara Lakes Citizen Offshore Water Quality Monitoring 2016 - 2017

description: In 2013, Clean Lakes Alliance (CLA) launched a Citizen Water Quality Monitoring pilot. Objectives included evaluating and tracking nearshore water quality conditions on all five Yahara lakes: Lakes Mendota, Monona, Waubesa, Kegonsa and Wingra. In 2016, in order to fully understand the interaction between the offshore and nearshore environment, CLA volunteers will begin sampling the deepest point (deep hole) of all Yahara lakes. The offshore monitoring program will focus on two components: water clarity sampling and dissolved oxygen and temperature measurement. Data from the offshore monitoring program will be compared to data from the nearshore program.
DOI: 10.6073/pasta/6cbceaa233ac63d2ede4d3c89b59d8c0
title: CLA Yahara Lakes Citizen Offshore Water Quality Monitoring 2016 - 2017

description: In 2013, Clean Lakes Alliance (CLA) launched a Citizen Water Quality Monitoring pilot. Objectives included evaluating and tracking nearshore water quality conditions on all five Yahara lakes: Lakes Mendota, Monona, Waubesa, Kegonsa and Wingra. In 2016, in order to fully understand the interaction between the offshore and nearshore environment, CLA volunteers will begin sampling the deepest point (deep hole) of all Yahara lakes. The offshore monitoring program will focus on two components: water clarity sampling and dissolved oxygen and temperature measurement. Data from the offshore monitoring program will be compared to data from the nearshore program.
DOI: 10.6084/m9.figshare.21688961
title: "Sustainability designed" by Brazilian elementary school students

description: Drawings produced in 2016 by students of the 2nd, 3rd and 5th year of elementary school I, from a private educational institution located in João Pessoa - PB (Brazil), in order to express their understanding of the concept of sustainability. The drawings were produced in within the scope of the study entitled "THE CONSTRUCTION OF SUSTAINABILITY CONCEPTIONS OF BRAZILIAN STUDENTS IN ELEMENTARY SCHOOL"
DOI: 10.6084/m9.figshare.21688961.v2
title: "Sustainability designed" by Brazilian elementary school students

description: Drawings produced in 2016 by students of the 2nd, 3rd and 5th year of elementary school I, from a private educational institution located in João Pessoa - PB (Brazil), in order to express their understanding of the concept of sustainability. The drawings were produced in within the scope of the study entitled "THE CONSTRUCTION OF SUSTAINABILITY CONCEPTIONS OF BRAZILIAN STUDENTS IN ELEMENTARY SCHOOL"
DOI: 10.6084/m9.figshare.21688961.v1
title: "Sustainability designed" by Brazilian elementary school students

description: Drawings produced in 2016 by students of the 2nd, 3rd and 5th year of elementary school I, from a private educational institution located in João Pessoa - PB (Brazil), in order to express their understanding of the concept of sustainability. The drawings were produced in within the scope of the study entitled "THE CONSTRUCTION OF SUSTAINABILITY CONCEPTIONS OF BRAZILIAN STUDENTS IN ELEMENTARY SCHOOL"
DOI: 10.5281/zenodo.7410070
title: Task_4_DCASE_2017_training_set

description: The dataset from Google Drive
DOI: 10.5281/zenodo.7410069
title: Task_4_DCASE_2017_training_set

description: The dataset from Google Drive
DOI: 10.6073/pasta/ee8cf28068c35191b477f7d2e5cc5c7f
title: Satellite derived secchi disk depth and other lake and landscape characteristics in Wisconsin, USA, 1991 - 2012

description: This data supports the following publication: Rose, K.C., S.R. Greb, M. Diebel, and M.G. Turner. Annual precipitation as a regulator of spatial and temporal drivers of lake water clarity. Ecological Applications. The data uses satellite remotely sensed estimates of Secchi disk depth (Landsat imagery), landscape features, and lake characteristics to understand how and why lakes vary and respond to different drivers through time and space. The data were produced by the authors and their collaborators, as acknowledged in the manuscript. The Secchi disk depth data span the time period 1991-2012.
DOI: 10.5517/ccdc.csd.cc27whd1
title: CCDC 2082003: Experimental Crystal Structure Determination

description: Related Article: Yanan Gu, Senlin Li, Qiaozhen Sun, Bingguang Zhang|2023|J.Mol.Struct.|1274|134598|doi:10.1016/j.molstruc.2022.134598
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15482/usda.adc/1528327
title: Transmission from swine-to-ferret of antigenically drifted contemporary swine H3N2 influenza A virus as indications of zoonotic risk to humans

description: The dataset comprises viral titrations collected from nasal swabs of swine and weight measurements and viral titration from nasal washes of ferrets.
Nasal swabs were collected from pigs at 0, 1, 3, 5, 7 9 and 11 days post infection (dpi). Weight of ferrets was measured daily from -4 to 5, then 7, 9, 11 and 12 days post contact (dpc). Nasal washes were collected at 0, 1, 3, 5, 7, 9, 11 and 12 dpi from ferrets.
DOI: 10.3886/e123542v1-131103
title: National Neighborhood Data Archive (NaNDA): Liquor, Tobacco, and Convenience Stores by ZIP Code Tabulation Area, United States, 2003-2017

description: This dataset contains measures of the number and density of liquor, tobacco, and convenience stores per ZIP code tabulation area (ZCTA) in the United States from 2003 through 2017.
description: Liquor, tobacco, and convenience stores in all ZIP code tabulation areas in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.17632/z6pdk5pyg9.1
title: A new protein requirement system for dairy cows: supplementary material of the article https://doi.org/10.3168/jds.2022-22348

description: supplementary material of the article. Silva and Oliveira (2022). A new protein requirement system for dairy cows. Journal of Dairy Science.  https://doi.org/10.3168/jds.2022-22348
DOI: 10.17632/4bymzr6pz7.1
title: Using an ultra-compact optical system to improve lateral flow immunoassay results quantitatively

description: Here is the raw data of the experiment, which was generated by the instrument.
DOI: 10.17632/tx7cfg5h77.1
title: Data for: Influence coefficients of stress and displacement by a glide dislocation 

description: The file contains the influence coefficients of stress and displacement produced by a glide dislocation along an arbitrary orientation in a half-plane. The codes are written in FORTRAN and can be used freely without commercial purposes.
DOI: 10.17632/tx7cfg5h77.2
title: Data for: Influence coefficients of stress and displacement by a glide dislocation 

description: The file contains the influence coefficients of stress and displacement produced by a glide dislocation along an arbitrary orientation in a half-plane. The codes are written in FORTRAN and can be used freely without commercial purposes.
DOI: 10.17632/9cvtjtxwwc.1
title: Match - Discutindo Sexualidade na Adolescência

description: Dados relacionados ao artigo "Construção e validação de jogo educativo sobre sexualidade para adolescentes" publicado na Revista Cuidarte. 2023;14(1):e2354.
DOI: 10.6073/pasta/a84773e0cd3aa43a915e4b9a87d3ba29
title: LAGOS - Lake nitrogen, phosphorus, stoichiometry, and geospatial data for a 17-state region of the U.S.

description: This dataset includes information about total nitrogen (TN) concentrations, total phosphorus (TP) concentrations, TN:TP stoichiometry, and 12 driver variables that might predict nutrient concentrations and ratios. All observed values came from LAGOSLIMNO v. 1.054.1 and LAGOSGEO v. 1.03 (LAke multi-scaled GeOSpatial and temporal database), an integrated database of lake ecosystems (Soranno et al. 2015). LAGOS contains a complete census of lakes greater than or equal to 4 ha with corresponding geospatial information for a 17-state region of the U.S., and a subset of the lakes has observational data on morphometry and chemistry. Approximately 54 different sources of data were compiled for this dataset and were mostly generated by government agencies (state, federal, tribal) and universities. Here, we compiled chemistry data from lakes with concurrent observations of TN and TP from the summer stratified season (June 15-September 15) in the most recent 10 years of data included in LAGOSLIMNO v. 1.054.1 (2002-2011). We report the median TN, TP and molar TN:TP values for each lake, which was calculated as the grand median of each yearly median value. We also include data for lake and landscape characteristics that might be important controls on lake nutrients, including: land use (agricultural, pasture, row crop, urban, forest), nitrogen deposition, temperature, precipitation, hydrology (baseflow), maximum depth, and the ratio of lake area to watershed area, which is used to approximate residence time. These data were used to identify drivers of lake nutrient stoichiometry at sub-continental and regional scales (Collins et al, submitted). This research was supported by the NSF Macrosystems Biology program (awards EF-1065786 and EF-1065818) and by the NSF Postdoctoral Research Fellowship in Biology (DBI-1401954).
DOI: 10.17632/7479j4j5jz.1
title: Challenges in land surface modeling of post-fire runoff and snowpack in Pacific-Northwest 

description: Noah-MP data used in the Abolafia-Rosenzweig et al. (in review): "Challenges in land surface modeling of post-fire runoff and snowpack in Pacific-Northwest". Data is described in detail in the README file.
DOI: 10.17632/4sj8trtw62.1
title: A delicate balance between antibody evasion and ACE2 affinity for Omicron BA.2.75. Huo et al

description: Supplementary Figures, Tables and Videos for the following paper published in Cell Reports:

A delicate balance between antibody evasion and ACE2 affinity for Omicron BA.2.75

Jiandong Huo1,2,3,#,*, Aiste Dijokaite-Guraliuc4,#, Chang Liu4,5,#, Raksha Das4, Piyada  Supasa4, Muneeswaran Selvaraj4, Rungtiwa Nutalai4, Daming Zhou2,5, Alexander J. Mentzer4,7, Donal Skelly7,8,9, Thomas G. Ritter7, Ali Amini7,8,10, Sagida Bibi11, Sandra Adele7, Sile Ann Johnson7, Neil G. Paterson6, Mark A. Williams6, David R. Hall6, Megan Plowright12,13, Thomas A.H. Newman12,13, Hailey Hornsby12,  Thushan I de Silva12,13, Nigel Temperton14, Paul Klenerman7,8,10,15, Eleanor Barnes7,8,10,15, Susanna J. Dunachie7,8,16,17, Andrew J Pollard11,15, Teresa Lambe5,11, Philip Goulder8,18, OPTIC consortium&, ISARIC4C consortium$, Elizabeth E. Fry2*, Juthathip Mongkolsapaya4,5,*, Jingshan Ren2,*, David I. Stuart2,5,6,*,^, Gavin R Screaton4,5,*

1. State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
2. Division of Structural Biology, Nuffield Department of Medicine, University of Oxford, The Wellcome Centre for Human Genetics, Oxford, UK
3. Guangzhou Laboratory, Bio-island, Guangzhou 510320, China
4. Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
5. Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
6. Diamond Light Source Ltd, Harwell Science & Innovation Campus, Didcot, UK
DOI: 10.5281/zenodo.7410972
title: AA-PruebaDeposito-CMC

description: AA-PruebaDeposito-CMC: HOJA EXCEL
DOI: 10.5281/zenodo.7410971
title: AA-PruebaDeposito-CMC

description: AA-PruebaDeposito-CMC: HOJA EXCEL
DOI: 10.5281/zenodo.7410958
title: Experimental_data_MCfault

description: Data of frictional experiments performed with the BRAVA apparatus (INGV-Rome) on the natural fault gouge from the MC fault.
DOI: 10.5281/zenodo.7410957
title: Experimental_data_MCfault

description: Data of frictional experiments performed with the BRAVA apparatus (INGV-Rome) on the natural fault gouge from the MC fault.
DOI: 10.17632/nvmxbjdnbn.1
title: SUPPLEMENT_Management of silicone granuloma: A systematic review 

description: Supplemental Material 1. Supplemental methods, Supplemental Table 1. Search strategy, Supplemental Figure 1. PRISMA Flow Chart
DOI: 10.17632/nvmxbjdnbn.2
title: SUPPLEMENT_Management of silicone granuloma: A systematic review 

description: Supplemental Material 1. Expanded methods, Supplemental Table 1. Search strategy, Supplemental Figure 1. PRISMA Flow Chart, Supplemental Table 2. Study treatments & outcomes
DOI: 10.17632/nvmxbjdnbn.3
title: SUPPLEMENT_Management of silicone granuloma: A systematic review 

description: Supplemental Material 1. Expanded methods, Supplemental Table 1. Search strategy, Supplemental Figure 1. PRISMA Flow Chart, Supplemental Table 2. Study treatments & outcomes, Supplemental Table 3. Included study references
DOI: 10.17632/hd7gh8nc46.1
title: JDS22271

description: Supplementary material for JDS22271 (Selective treatment of nonsevere clinical mastitis does not adversely affect cure, somatic cell count, milk yield, recurrence, or culling: A systematic review and meta-analysis).
DOI: 10.17632/6cyk68z72b.1
title: Protocol for investigating the effect of food digestion in  C. elegans on development by feeding the inedible bacteria Staphylococcus saprophyticus

description: Table S1. The Statistics data for Figure 1.
DOI: 10.17632/zxj62z6nwj.1
title: Inter-brain Synchronization Dataset of Peer Cooperation in Adolescents and Adults

description: We collected EEG data from adolescents and adults while they were playing cooperative peer games. The final sample was composed of 126 participants (63 dyads), which included 31 dyads in the adults group (26 male, 36 female; Mage=21.27， SD=1.26) and 32 dyads in the adolescents group (30 male, 34 female; Mage=16.72， SD=0.55), all were matched with the same sex. 
All of the participants came from urban senior high schools or universities in mainland China. All of the participants were right-handed and had normal or corrected-to-normal vision. No participant had a history of neurological or psychiatric disorder, as determined by self and/or parent reports. No participant had a history of neurological or psychiatric disorder, as determined by self and/or parent reports.
DOI: 10.17632/twvy44zhrv.1
title: Proteasome dysfunction induced by p-tau inhibits the cytoplasmic localization and function of HAS1 by blocking its monoubiquitylation.

description: Alzheimer's disease (AD) is a neurodegenerative disease with neuronal loss and
altered extracellular matrix (ECM) components. Here, we confirmed that both a
decreased high molecular hyaluronan (HMW-HA) and an increased low molecular
hyaluronan (LMW-HA) existed in AD mouse brains. The expression and distribution
patterns of the three types of hyaluronan synthases (HASs) were described in AD
mice. Immunofluorescence staining of AD mouse brain slices showed increased HAS1
and decreased HAS2 in the soma of neurons. In vitro data indicated that APP-induced
phosphorylated tau (p-tau) plays a key role in the reduction and redistribution of HAS1.
p-tau competitively inhibited the degradation of polyubiquitinated HAS1 (Ubn-HAS1) in
proteasomes, causing the accumulation of Ubn-HAS1 in the cytoplasm. As a
consequence of abnormal accumulation, accumulated Ubn-HAS1 was then subjected
to the lysosome degradation pathway, and unknown negative feedback loops were
activated to downregulate the transcription of HAS1 mRNA. Interestingly, the switch
between tau and p-tau modified the subcellular localization of HAS1 between the
cytoplasm and the nucleus by regulating the monoubiquitylation of HAS1 and
ultimately inhibited the synthesis and release of HMW-HA in neurons.
DOI: 10.17632/94hwkdvssk.1
title: Cloud Microphysics

description: Basic data for paper "Intercomparisons on the vertical profiles of cloud microphysical properties between satellite and aircraft observation"
DOI: 10.17632/n3xxsmjpft.1
title: NMDA Receptor Hypofunction Underlies Deficits in Parvalbumin Interneurons and Social Behavior in Neuroligin 3 R451C Knock-in Mice. Wei Cao et al.

description: Original western blot images of Figure 1, 2 and 4
DOI: 10.5281/zenodo.7410996
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.5281/zenodo.7411028
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf
DOI: 10.5281/zenodo.7411031
title: Sentinel-2: Cloud Probability in Earth Engine

description: Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting <code>0..1</code> floating point probability is scaled to <code>0..100</code> and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.
description: For the license on the actual data (rather than the catalog entry), see https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf