cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14185942
title: Genetic divergence in the natural regeneration of black poplar along the Vistula River in Poland

description: The dataset comprises nuclear microsatellite data (PCR products lengths) used in the paper "Genetic divergence in the natural regeneration of black poplar along the Vistula River in Poland".

Abstract: Many years of land use transformation within river valleys have drastically changed these ecosystems. Black poplar is a tree species characteristic of riparian habitats. Unfortunately, due to specific environmental requirements, its populations have difficulties with natural regeneration. Here, we genotyped 623 black poplar individuals from four populations located along different sections of the Vistula River. This river, which is the largest in Poland, is characterized by the variable degrees of regulation and transformation of its natural environment. Each black poplar population consisted of a group of mature trees and a group of naturally regenerated trees. Our main goal was to assess the differences between the gene pools of mature trees and natural regenerations. The results showed that all populations were characterized by high and comparable values of the parameters of genetic diversity. Despite this, we distinguished 2-3 genetic clusters (depending on the method). The genetic differentiation among the natural regeneration groups was almost twice as high as that among the mature tree groups. The gene pools of most natural regenerations diverged from the gene pools of mature tree groups except for one population. This was also the only population where fully generative regeneration occurred, growing in the least transformed middle section of the river. Our research confirms the need to monitor seedlings and saplings along major rivers and to conduct molecular analyses to assess their gene pools. It can be assumed that due to the lack of suitable areas for seed germination, black poplar will reproduce mainly vegetatively, which may be a way to ensure the survival of the species. However, the adaptive potential of the youngest generations is unknown, especially in the face of progressive climate change. We conclude that to preserve black poplar genetic resources, ex situ protection in the form of local clone archives is necessary.
DOI: 10.6084/m9.figshare.26094127
title: Data for "<b>Increased impacts of aircraft activities on PM</b><sub><strong>2.5</strong></sub><b> concentration and human health in China</b>"

description: The monthly death data of six diseases (different ages and genders) at 164 Chinese airports are shown in Supplementary Table.
DOI: 10.6084/m9.figshare.27605397
title: Supplementary Material for: C4b-Binding Protein and Factor H Inhibit Inflammasome Activation during Group A Streptococci Infection in Human Cells.

description: Introduction. Streptococcus pyogenes (Group A Streptococcus; GAS) is a pathogen that causes over half a million deaths annually worldwide. Human immune cells respond to GAS infection by activating the NLRP3 inflammasome that leads to pro-inflammatory cytokines release which acts to control infection. We investigated the role of C4b-binding protein (C4BP) and Factor H (FH) in the inflammasome response to GAS, as they are recruited by GAS to prevent complement deposition and limit phagocytosis.
Methods. Inflammasome response was investigated using isolated primary human cells and the GAS-AP1 strain. Cytokine responses were evaluated by ELISA. C4BP internalisation was investigated using confocal microscopy. Western blotting was used to evaluate the activation of NLRP3 inflammasome components.
Results. IL-1β release, induced by GAS-AP1, was inhibited by FH which interferes with priming of human cells. In contrast, C4BP restricted the IL-1β response with no effect on cell priming. C4BP was engulfed by cells together with bacteria and excluded from low-pH vesicles, but localised within the cytosol and near the ASC speck inflammasome complex. C4BP did not inhibit either the inflammasome complex assembly or caspase-1 activation. However, C4BP limited the cleavage of gasderminD N-terminal fragments by interfering with caspase-1 enzymatic activity.
Conclusion. Our results provide new insights on the effect of FH and internalised C4BP to control GAS sensing by inflammasomes.
DOI: 10.13026/wks0-w041
title: Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization

description: Applying methods in natural language processing on electronic health records
(EHR) data is a growing field. Existing corpus and annotation focus on
modelling textual features and relation prediction [1] . However, there is a
paucity of annotated corpus built to model clinical diagnostic reasoning, a
process that involves text understanding, domain knowledge abstraction and
reasoning, and clinical text generation. The datasets here support a
hierarchical annotation schema with two out of the three stages available to
address clinical text understanding and text generation. The datasets provided
here are for individual tasks in Stages 1 and 3. The task for Stage 2 was
previously accepted as part of the National NLP Clinical Challenges (n2c2) and
may be retrieved from the n2c2 challenge website.

The annotated corpus is based on an extensive collection of Intensive Care
Unit progress notes, a type of EHR documentation that is collected in time
series in a problem-oriented format. The progress notes were sourced from
MIMIC-III. The conventional format for a progress note follows a Subjective,
Objective, Assessment and Plan heading (SOAP). The novel suite of tasks was
designed to train and evaluate future NLP models for clinical text
understanding, clinical knowledge representation, inference, and
summarization. The ultimate goal of these datasets is to advance the
development and evaluation of NLP models for clinical applications that lead
to AI-assisted clinical decision support and reduce medical errors.
DOI: 10.14459/2023mp1729648
title: Experimental Impulse-Based Substructuring 1D Test Rods Measurement Data

description: Raw time series of impact measurements for materials and manual impact hammer tips as labeled. Displacements and velocities are stored as 'H11' (driving-point responses) and 'H21' (opposing side), where responses have the shape [time points, quantity, impact number] and first quantity = displacements, second quantity = velocities. Accelerations are stored in 'acc', with the shape [time points, dof, impact number], where dof = [S1_X, S1_Y, S1_Z, S2_X, S2_Y, S2_Z] with S1 on driving point side and S2 opposite, x and y responses unused and not included.
DOI: 10.15485/1509695
title: WHONDRS 48 Hour Diel Cycling Study at HJ Andrews Experimental Forest Watershed 1 (WS1)

description: This dataset is from a 48 hour sampling campaign at H.J. Andrews Experimental Forest, Oregon, USA. Filtered surface water and pore water samples were collected every three hours from the Watershed 1 (WS1) stream. Samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL) for high resolution carbon characterization via Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). In addition, basic geochemistry analyses (e.g., dissolved organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. All data types are provided in a standard format. In addition, the data package contains instructions to process the FTICR data based on the user’s specific needs. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. Please use the data package’s DOI to cite the data package. Note that the included hydrograph has a separate DOI that should also be cited. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your documents, presentations, etc. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.15485/1577263
title: WHONDRS 48 Hour Diel Cycling Study at the Altamaha River in Georgia, USA

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of tidally induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the Altamaha River, GA, USA. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in October 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. Note that the included hydrograph has a separate DOI that should also be cited. There is no obligation to include WHONDRS members as co-authors.Please note that this data package was originally published in November 2019. It was updated in July 2020. See the readme file in the data package for details. None of the data values were altered. The units were updated in one column of the main metadata file and in one of the methods codes descriptions.
DOI: 10.15485/1577265
title: WHONDRS 48 Hour Diel Cycling Study at the Columbia River in Washington, USA

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of the upstream Priest Rapids Dam-induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the Columbia River, WA, USA. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in August 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.15485/1577266
title: WHONDRS 48 Hour Diel Cycling Study at the Jordan River, Israel

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of groundwater pumping induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the Jordan River, Israel. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in August 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.15485/1577278
title: WHONDRS 48 Hour Diel Cycling Study at the East Fork Poplar Creek in Tennessee, USA

description: This dataset is from a sampling campaign completed over the course of 48 hours to investigate the effects of wastewater treatment plant effluent induced water level variation on aqueous chemistry, dissolved organic matter chemistry, and metabolic potential of microbial communities at the East Fork Poplar Creek, TN, USA. Filtered surface water (SW) and pore water (PP) samples were collected every three hours in August 2018. This dataset is one of seven companion datasets that were part of the WHONDRS 48 Hour Diel Cycling Study of freshwater rivers. All seven datasets are available on ESS-DIVE; they can be found by searching for WHONDRS 48 Hour.This package contains a variety of chemical and hydrologic variables. All data types are provided in a standard format. Basic geochemistry analyses (e.g., non-purgeable organic carbon concentration, cations, anions, SpC, pH) were conducted, standardized photos were taken, surface water hydrographs were collated from existing instrumentation, and extensive metadata were captured. Aqueous chemistry variables include USGS codes in the first portion of the variable name (e.g., 00940_Cl_mg_per_L). These codes allow for interoperability with USGS water quality data. In addition, samples were delivered to the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) for high resolution characterization of dissolved organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The data package contains instructions to process the FTICR data based on the user’s specific needs, and sample-level summary indices derived from the FTICR data will be added to the data package. Beyond the data in this data package, metagenomic data are being generated on associated microbial communities. When these data are available, the data package will be updated with information on accessing them. Please contact WHONDRS@pnnl.gov for more information. Please use the data package’s DOI to cite the data package. We ask that you email us at WHONDRS@pnnl.gov to let us know that you're using the data and acknowledge WHONDRS and the U.S. Department of Energy's Subsurface Biogeochemical Research program—which generously provides funding to WHONDRS—in your publications, proposals, presentations, etc. All data are free to be used for any purpose, such as for manuscripts, presentations, and grant proposals. Note that the included hydrograph has a separate DOI that should also be cited. There is no obligation to include WHONDRS members as co-authors.
DOI: 10.17188/1203976
title: Materials Data on Al2Te3 by Materials Project

description: Al2Te3 crystallizes in the monoclinic P2_1/c space group. The structure is two-dimensional and consists of two Al2Te3 sheets oriented in the (0, 0, 1) direction. there are four inequivalent Al3+ sites. In the first Al3+ site, Al3+ is bonded to four Te2- atoms to form a mixture of edge and corner-sharing AlTe4 tetrahedra. There are a spread of Al–Te bond distances ranging from 2.57–2.71 Å. In the second Al3+ site, Al3+ is bonded to four Te2- atoms to form a mixture of edge and corner-sharing AlTe4 tetrahedra. There are a spread of Al–Te bond distances ranging from 2.59–2.69 Å. In the third Al3+ site, Al3+ is bonded to four Te2- atoms to form a mixture of edge and corner-sharing AlTe4 tetrahedra. There are a spread of Al–Te bond distances ranging from 2.58–2.72 Å. In the fourth Al3+ site, Al3+ is bonded to four Te2- atoms to form a mixture of edge and corner-sharing AlTe4 tetrahedra. There are a spread of Al–Te bond distances ranging from 2.59–2.70 Å. There are six inequivalent Te2- sites. In the first Te2- site, Te2- is bonded in a distorted trigonal non-coplanar geometry to three Al3+ atoms. In the second Te2- site, Te2- is bonded in a 3-coordinate geometry to three Al3+ atoms. In the third Te2- site, Te2- is bonded in a distorted trigonal non-coplanar geometry to three Al3+ atoms. In the fourth Te2- site, Te2- is bonded in a distorted L-shaped geometry to two Al3+ atoms. In the fifth Te2- site, Te2- is bonded in a 3-coordinate geometry to three Al3+ atoms. In the sixth Te2- site, Te2- is bonded in a distorted L-shaped geometry to two Al3+ atoms.
DOI: 10.17632/fb9sn2zcx8.2
title: Data of pressure and temperature during the 2018 Boso SSE

description: This dataset includes pressure and temperature data of ocean bottom pressure gauges. From 2016-08-28 to 2018-09-21, sampling interval: 1 hour
DOI: 10.21242/73111.2018.00.01.1.1.1
title: Taxpayer-Panel 2001-2018, On-Site, Version 1

description: Die Wellen 2001 bis 2011 des Taxpayer-Panels (TPP) wurden auf Basis der jährlichen Einkommensteuerstatistik (Geschäftsstatistik) erstellt. Diese Querschnittsdaten enthalten die Angaben aus den Einkommensteuererklärungen der rund 27 Millionen veranlagten deutschen Steuerpflichtigen und wurden über die Steuernummern sowie indirekte Identifikatoren zu einem Panel verknüpft.
Ab dem Veranlagungsjahr 2012 entfällt die Geschäftsstatistik. Die bis dahin dreijährliche Bundesstatistik zur Lohn- und Einkommensteuer wird fortan jährlich erhoben. Das TPP wird deshalb ab Welle 2012 mit den Daten der Bundesstatistik fortgeführt. Die Bundesstatistik umfasst neben den veranlagten Steuerpflichtigen auch rund 12 Millionen nicht veranlagte Steuerpflichtige, die sogenannten Lohnsteuerfälle. Aufgrund von Verzögerungen bei der Lieferung dieser Fälle sind sie erst ab Veranlagungsjahr 2013 im TPP enthalten.
Das Panel 2001 bis 2014 weist insgesamt 54.614.371 Datensätze auf, zu denen Angaben für mindestens zwei Jahreswellen vorliegen. Aufgrund des großen Umfangs von mehreren Millionen Steuerpflichtigen wird das TPP über die Forschungsdatenzentren primär als Stichprobe angeboten. Nähere Informationen zur Nutzung des TPP sind im zum Download verfügbaren Nutzungskonzept dargestellt.
Von den Steuerpflichtigen werden u. a. Bruttolohn, Einkünfte, Einkommen, zu versteuerndes Einkommen, Sondervergünstigungen, Lohn-, Einkommen- und Kirchensteuer erfasst. Weiterhin enthält das Datenmaterial Angaben über Geschlecht, Geburtsjahr, Religion, Kinderfreibeträge, Kindergeld, Art der Steuerpflicht, Steuerklasse und Veranlagungsart. Eine Aufstellung der Variablen - differenziert nach Veranlagungsjahren - ist in der zum Download verfügbaren Datensatzbeschreibung enthalten.
Es ist zu beachten, dass es durch den Wechsel der Datengrundlage (Bundes- anstelle Geschäftsstatistik) teilweise zu Verschiebungen bei der Belegung der Kennzahlen ab Welle 2012 kommt. So werden in der Bundesstatistik alle Informationen zu Frauen in den B-Kennziffern ausgegeben, in den bisherigen Geschäftsstatistiken stehen die Werte alleinveranlagter Frauen in den A-Kennziffern (analog zu alleinveranlagten Männern). Die unterschiedliche Belegung dieser Kennzahlen muss insbesondere bei geschlechtsspezifischen Auswertungen beachtet werden.
Aufgrund des breiten Spektrums an Erhebungsmerkmalen bietet das TPP vielfältige Analysemöglichkeiten. Neben rein steuerlichen Betrachtungen sind auch Untersuchungen und Simulationsrechnungen über die Einkommensverteilung möglich.