cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21648455
title: Table 5.6

description: <strong>Table 5.6: Source data for Rfx1/2/3 KO analysis.</strong> GE datasets for WT and Rfx1/2/3 KO ependymal cell. Each sheet contains Ensembl ID, gene symbol, expression levels (cRPKM) for Olfactory-Sperm dataset, spermatocytes-specific genes, olfactory-specific genes and cilia genes.
DOI: 10.6084/m9.figshare.21667757.v1
title: Table 5.7

description: <strong>Table 5.7: Source data for Rfx1/2/3 KO analysis.</strong> GE datasets for WT and Rfx1/2/3 KO ependymal cells. Each sheet contains Ensembl ID, gene symbol, expression levels (cRPKM) for Olfactory-Sperm dataset, spermatocytes-specific genes, olfactory-specific genes and cilia genes.
DOI: 10.6073/pasta/08867bb056a74f9db33b1b923dc32588
title: Production, biomass, and yield estimates for walleye populations in the Ceded Territory of Wisconsin from 1990-2017

description: Recreational fisheries are valued at $190B globally and constitute the predominant use of wild fish stocks in developed countries, with inland systems contributing the dominant fraction of recreational fisheries. Although inland recreational fisheries are thought to be highly resilient and self-regulating, the rapid pace of environmental change is increasing the vulnerability of these fisheries to overharvest and collapse. We evaluate an approach for detecting hidden overharvest of inland recreational fisheries based on empirical comparisons of harvest and biomass production. Using an extensive 28-year dataset of the walleye fisheries in Northern Wisconsin, USA, we compare empirical biomass harvest (Y) and calculated production (P) and biomass (B) for 390 lake-year combinations. Overharvest occurs when harvest exceeds production in that year. Biomass and biomass turnover (P/B) both declined by about 30% and about 20% over time while biomass harvest did not change, causing overharvest to increase. Our analysis revealed 40% of populations were production-overharvested, a rate about 10x higher than current estimates based on numerical harvest used by fisheries managers. Our study highlights the need for novel approaches to evaluate and conserve inland fisheries in the face of global change.
DOI: 10.5517/ccdc.csd.cc2cb721
title: CCDC 2184572: Experimental Crystal Structure Determination

description: Related Article: Jatinder Singh, Richard J. Staples, Jean’ne M. Shreeve|2022|Org.Lett.|24|8832|doi:10.1021/acs.orglett.2c03623
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: 10.5517/ccdc.csd.cc2cb732
title: CCDC 2184573: Experimental Crystal Structure Determination

description: Related Article: Jatinder Singh, Richard J. Staples, Jean’ne M. Shreeve|2022|Org.Lett.|24|8832|doi:10.1021/acs.orglett.2c03623
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: 10.5517/ccdc.csd.cc2cb743
title: CCDC 2184574: Experimental Crystal Structure Determination

description: Related Article: Jatinder Singh, Richard J. Staples, Jean’ne M. Shreeve|2022|Org.Lett.|24|8832|doi:10.1021/acs.orglett.2c03623
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: 10.5517/ccdc.csd.cc2cmw1y
title: CCDC 2193840: Experimental Crystal Structure Determination

description: Related Article: Juana M. Pérez, Samuel Morales-Cámara, Francisco M. García-Salas, Noelia Ruiz-Cuevas, Mireya E. López-Vargas, Duane Choquesillo-Lazarte, Javier Cepeda, Jose A. García, Víctor Karim Abdelkader-Fernández, Antonio Rodríguez-Diéguez, Sara Rojas, Ignacio Fernández|2022|Cryst.Growth Des.|22|7395|doi:10.1021/acs.cgd.2c00985
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: 10.5517/ccdc.csd.cc2cmw2z
title: CCDC 2193841: Experimental Crystal Structure Determination

description: Related Article: Juana M. Pérez, Samuel Morales-Cámara, Francisco M. García-Salas, Noelia Ruiz-Cuevas, Mireya E. López-Vargas, Duane Choquesillo-Lazarte, Javier Cepeda, Jose A. García, Víctor Karim Abdelkader-Fernández, Antonio Rodríguez-Diéguez, Sara Rojas, Ignacio Fernández|2022|Cryst.Growth Des.|22|7395|doi:10.1021/acs.cgd.2c00985
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: 10.5517/ccdc.csd.cc2cmw30
title: CCDC 2193842: Experimental Crystal Structure Determination

description: Related Article: Juana M. Pérez, Samuel Morales-Cámara, Francisco M. García-Salas, Noelia Ruiz-Cuevas, Mireya E. López-Vargas, Duane Choquesillo-Lazarte, Javier Cepeda, Jose A. García, Víctor Karim Abdelkader-Fernández, Antonio Rodríguez-Diéguez, Sara Rojas, Ignacio Fernández|2022|Cryst.Growth Des.|22|7395|doi:10.1021/acs.cgd.2c00985
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: 10.5517/ccdc.csd.cc2cmw41
title: CCDC 2193843: Experimental Crystal Structure Determination

description: Related Article: Juana M. Pérez, Samuel Morales-Cámara, Francisco M. García-Salas, Noelia Ruiz-Cuevas, Mireya E. López-Vargas, Duane Choquesillo-Lazarte, Javier Cepeda, Jose A. García, Víctor Karim Abdelkader-Fernández, Antonio Rodríguez-Diéguez, Sara Rojas, Ignacio Fernández|2022|Cryst.Growth Des.|22|7395|doi:10.1021/acs.cgd.2c00985
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: 10.6073/pasta/c08b808fe0ca65ae30b65b7d780f037f
title: Cascade project at North Temperate Lakes LTER - Daily data for key variables in whole lake experiments on early warnings of critical transitions, Paul and Peter Lakes, 2008-2011

description: Peter Lake's food web was altered by adding largemouth bass at a slow rate while monitoring key food web constituents including littoral minnow abundance indexed as catch per trap per hour, zooplankton biomass, and concentration of chlorophyll a. Paul Lake was manipulated and the same variables were measured there. In Peter Lake, we expected littoral catch of minnows to first increase as minnows moved into the littoral zone due to the threat of bass predation and then decrease due to bass predation. We expected zooplankton biomass to increase as minnows moved into the littoral zone. We expected chlorophyll to decrease due to increased grazing by zooplankton. We expected that variance and autocorrelation of chlorophyll would increase as the food web passed a critical transition. We expected that the time series in Paul Lake would represent the normal variability of an unmanipulated lake
DOI: 10.23644/uu.21702128
title: Vacancies raw data word final dataset.docx

description: All job postings used for data analysis.
DOI: 10.23644/uu.21702128.v1
title: Vacancies raw data word final dataset.docx

description: All job postings used for data analysis.
DOI: 10.6073/pasta/00c09b48ce2ce371312c7d72e7062aa6
title: Little Rock Lake Experiment at North Temperate Lakes LTER: Zooplankton length 1988 - 1998

description: The Little Rock Acidification Experiment was a joint project involving the USEPA (Duluth Lab), University of Minnesota-Twin Cities, University of Wisconsin-Superior, University of Wisconsin-Madison, and the Wisconsin Department of Natural Resources. Little Rock Lake is a bi-lobed lake in Vilas County, Wisconsin, USA. In 1983 the lake was divided in half by an impermeable curtain and from 1984-1989 the northern basin of the lake was acidified with sulfuric acid in three two-year stages. The target pHs for 1984-5, 1986-7, and 1988-9 were 5.7, 5.2, and 4.7, respectively. Starting in 1990 the lake was allowed to recover naturally with the curtain still in place. Data were collected through 2000. The main objective was to understand the population, community, and ecosystem responses to whole-lake acidification. Funding for this project was provided by the USEPA and NSF. Zooplankton samples are collected from the treatment and reference basins of Little Rock Lake at at two to nine depths using a 30L Schindler Patalas trap (53um mesh). Zooplankton samples are preserved in buffered formalin and archived. Data are summed over sex and stage and integrated volumetrically over the water column to provide a lake-wide estimate of average length of organisms for each species.
DOI: 10.6073/pasta/37d74727f433a58840937b3b35358fd0
title: North Temperate Lakes LTER Zooplankton conversion formulas length to biomass

description: Formulas for calculating zooplankton biomass based on measured length for species encountered in NTL's northern lakes. Formulas are either based on literature reports or measurements in particular research lakes.
DOI: 10.6073/pasta/e370a7eec38bb35ff8c985a5e893f93b
title: North Temperate Lakes LTER Regional Survey Water Color Scans 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Color is measured in water samples that are filtered in the field through 0.45 um nucleopore membrane filters. A spectrophotometer is used to quantify color in the lab as absorbance (unitless) at 1 nm intervals between the wavelengths of 200 and 800 nm. Absorbance data are considered suspect for values greater than 2.
DOI: 10.6084/m9.figshare.21702068
title: Segmentation Dataset

description: Dataset used in the paper "Cell Segmentation in Images Without Structural Fluorescent Labels" by Daniel Zyss & al.
DOI: 10.6073/pasta/a4ef83593cb13c5f31c8cd92cc720477
title: North Temperate Lakes LTER Regional Survey Water Color Scans 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Color is measured in water samples that are filtered in the field through 0.45 um nucleopore membrane filters. A spectrophotometer is used to quantify color in the lab as absorbance (unitless) at 1 nm intervals between the wavelengths of 200 and 800 nm. Absorbance data are considered suspect for values greater than 2.
DOI: 10.5281/zenodo.7418694
title: AIS raw data covering 2020 (nmea format)

description: AIS raw data (ASCII) provided by Statsat AS in the context of the T-SAR project (<em>IKTPLUSS programme on reducing digital vulnerabilities, </em><strong>10 MNOK from the Research Council of Norway, Norway</strong>). The file contains AIS messages. The documentation is also provided in this archive. The file is a NMEA text file.
description: This dataset is not public and has been provided by Statsat AS (Norway). It has been used for developing new machine learning algorithms for detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance in the framework of the T-SAR project (IKTPLUSS programme on reducing digital vulnerabilities, 10 MNOK from the Research Council of Norway, Norway) led by Simula Research Laboratory (Oslo, Norway).
DOI: 10.5281/zenodo.7418693
title: AIS raw data covering 2020 (nmea format)

description: AIS raw data (ASCII) provided by Statsat AS in the context of the T-SAR project (<em>IKTPLUSS programme on reducing digital vulnerabilities, </em><strong>10 MNOK from the Research Council of Norway, Norway</strong>). The file contains AIS messages. The documentation is also provided in this archive. The file is a NMEA text file.
description: This dataset is not public and has been provided by Statsat AS (Norway). It has been used for developing new machine learning algorithms for detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance in the framework of the T-SAR project (IKTPLUSS programme on reducing digital vulnerabilities, 10 MNOK from the Research Council of Norway, Norway) led by Simula Research Laboratory (Oslo, Norway).
DOI: 10.5281/zenodo.7418630
title: Quartet of familiar females – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - F5

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7418629
title: Quartet of familiar females – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - F5

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.6073/pasta/f249aa8b7d7ffd46527f80e1b36461dd
title: Molecular composition of dissolved organic matter in NTL-LTER lakes detected by Fourier-transform ion cyclotron resonance mass spectrometry

description: The composition of dissolved organic matter (DOM) varies widely in the environment due to distinct sources of the material and subsequent processing. DOM composition drives its reactivity in terms of many processes including photochemical reactions, microbial metabolism, and carbon cycling within water bodies. This study uses ultra-high resolution mass spectrometry via a Fourier-transform ion cyclotron resonance mass spectrometer (FT-ICR MS) to evaluate DOM composition at the molecular level to determine differences in DOM composition among the NTL-LTER lakes. Whole water samples were collected from the surface of each lake near the shore on August 18th and 19th in 2016 in. Ultraviolet-visible spectra were recorded as light absorbance can also give information about DOM composition. Additionally, concentrations of anions, cations, and pH were measured waters because these can all alter DOM reactivity in the environment. Both water chemistry and DOM composition vary widely among the lakes with the bogs displaying the most terrestrial-like signature in DOM and the oligotrophic lakes show more microbial-like or environmentally processed DOM.
DOI: 10.6073/pasta/801c679f9f97f58d4d06dd191551a3f9
title: Wisconsin creel dataset as well as predictor variables for lakes from 1990 to 2017 to estimate statewide recreational fisheries harvest

description: Recreational fisheries have high economic worth, valued at $190B globally. An important, but underappreciated, secondary value of recreational catch is its role as a source of food. This contribution is poorly understood due to difficulty in estimating recreational harvest at spatial scales beyond an individual system, as traditionally estimated from angler creel surveys. Here, we address this gap using a 28-year creel survey of ~300 Wisconsin inland lakes. We develop a statistical model of recreational harvest for individual lakes and then scale-up to unsurveyed lakes (3769 lakes; 73% of statewide lake surface area) to generate a statewide estimate of recreational lake harvest of ~4200 t and an estimated annual angler consumption rate of ~3 kg, nearly double estimated United States per capita freshwater fish consumption. Recreational fishing harvest makes significant contributions to human diets, is critical for discussions on food security, and the multiple ecosystem services of freshwater systems.
DOI: 10.25678/0006fp
title: Data for: Elucidating the role of extracellular polymeric substances (EPS) in dewaterability of fecal sludge from onsite sanitation systems, and changes during anaerobic storage

description: As the importance of fecal sludge management (FSM) is increasingly being realized, the need for adequately designed and functioning fecal sludge (FS) treatment plants is also increasing. Research to fill this gap is only emerging and dewatering is a key challenge for developing sustainable treatment solutions. This study evaluated the effect of extracellular polymeric substances (EPS) on dewaterability of FS, and how EPS and dewaterability change during anaerobic storage (as a proxy for time in onsite containment). EPS was extracted from FS and activated sludge using Na2CO3 and sonication and added to sludge samples to determine the effect on dewaterability. The results confirmed that an increase in EPS had a direct impact of decreasing FS dewaterability (as capillary suction time). In this context, we evaluated FS degradation during anaerobic storage, the effect of anaerobic storage time on EPS, EPS fractions and particle size distribution, and the effect of variations in these factors on FS dewaterability. Variations in EPS, EPS fraction and particle size distribution during anaerobic storage were less than expected and average VS reduction of 20 % was recorded over 7 weeks. Although anaerobic digestion was verified (biogas production), the results indicate that kinetics of degradation of FS is different from wastewater sludges. Comparatively, EPS fractions in FS were 70 – 75 % lower and with higher fractions of humic-like substances than wastewater sludges. Although EPS significantly affects FS dewaterability, anaerobic storage time is not a predictor of dewaterability.