cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16812061
title: Effect of hydropeaking on decomposition in riparian zones - dataset

description: Dataset connected to a study on how hydropeaking affects decomposition in the riparian zones of 33 Swedish streams. All streams were affected by hydropower, but the degree of short-term regulation (hydropeaking) varied considerably, as well as stream size, latitude, and altitude. Streams were sampled in the summer of 2020 (N=26) and autumn of 2023 (N=16), with 9 streams sampled in both years. The decompisition rate (k) and the stabilization factor (decomposition endpoint, S) were estimated using the Tea Bag Index (developed by Keuskamp et al., 2013). The "old" nylon mesh tea bags were used, otherwise, see article for method details.
DOI: 10.5281/zenodo.16812060
title: Effect of hydropeaking on decomposition in riparian zones - dataset

description: Dataset connected to a study on how hydropeaking affects decomposition in the riparian zones of 33 Swedish streams. All streams were affected by hydropower, but the degree of short-term regulation (hydropeaking) varied considerably, as well as stream size, latitude, and altitude. Streams were sampled in the summer of 2020 (N=26) and autumn of 2023 (N=16), with 9 streams sampled in both years. The decompisition rate (k) and the stabilization factor (decomposition endpoint, S) were estimated using the Tea Bag Index (developed by Keuskamp et al., 2013). The "old" nylon mesh tea bags were used, otherwise, see article for method details.
DOI: 10.15468/dl.qdjeer
title: Occurrence Download

description: A dataset containing 930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.01124 7.32566,-8.82191 7.32566,-8.82191 7.49036,-9.01124 7.49036,-9.01124 7.32566))",
 "HasCoordinate is true",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 930 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003571-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvbgah
title: Occurrence Download

description: A dataset containing 34437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-103.7381 17.91491, -100.063 17.91491, -100.063 20.39456, -103.7381 20.39456, -103.7381 17.91491))",
 "TaxonKey is Mammalia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34437 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003570-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa8ucw
title: Occurrence Download

description: A dataset containing 1098264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa"
 ]
}

 The dataset includes 1098264 records from 3106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003561-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7b4wbx3wcg
title: Deep learning based multifunctional synaptic analysis of electron microscope images

description: Synaptic analysis with regard to its number and fine morphology are the basis for the understanding of neurological functions and diseases. Manually analyzing synaptic structures in images obtained from electron microscope (EM) often encountered with limitations such as low efficiency and subjective bias. In this study, we developed a multifunctional synaptic analysis system based on several advanced deep learning (DL) models. The system achieved synapse counting in low-magnification EM images and synaptic ultrastructure analysis in high-magnification EM images.
DOI: 10.17632/bgr6n9wnbj
title: Research Data - Artificial intelligence achieves stylistic classification of painted pottery: Identifying vessel shape and decoration in one model

description: Recent advances in artificial intelligence modeling have begun to assist in the archaeological analysis of the patterns and images on pottery corpuses. Current automated classification models for archaeological images, however, only consider single variables, i.e., vessel shape or ornamentation, in a single function. We report on a convolutional neural network classification model trained by the authors to analyze and consider multiple parameters in pottery style, including shape, texture, ornamentation and pattern placement. The model, trained on a photographic image dataset of Chinese color-painted pottery, achieved 91.3% accuracy in matching images of pots to corresponding archaeological cultures. Based on feature vectors obtained from the training procedure, similarity coefficients for the given images were calculated so that assigned images could be matched with the most similar examples in the dataset, allowing for automated comparison between vessels. This work highlights the potential of convolutional neural network (CNN) approaches in analyses of pottery style, providing a new tool for studying chronology, craft standardization and specialization, interregional technical and stylistic inter action, and formation of decorative design.
DOI: 10.17632/cgk5npmks2
title: Does initial vocational training foster the innovativeness on business level? – Evidence from German establishment data

description: While an increasing number of conceptual studies postulate that vocational education and training (VET) activities have a positive impact on the innovative capacity of training companies, empirical evidence on the subject remains scarce. This study exploits establishment data from a representative survey of German companies to estimate the effects of firms’ participation in initial VET on their innovation outcomes. The results show that the impact of VET activity on innovation is more ambiguous than postulated. Overall, the participation in initial VET has virtually no effect on product innovation and radical novelties. For the total population of all German companies, the positive impact of VET activities is only observable in case of process innovation. However, our results point to significant causal effects on the innovative capacities of small and medium-sized enterprises (SMEs).

The empirical analysis rests on cross-sectional data from the IAB Establishment Panel (wave 2017; DOI: 10.5164/IAB.IABBP9317.de.en.v1). The IAB panel is an annual representative employer survey on various topics such as the determinants of labour demand.  We analyzed the IAB data via remote data access.
 
In this repository, the three Stata Do-Files used for the empirical analysis are provided:
1. Data preparation Do-File
2. Analysis Do-File 
3. Analysis Do-File employing entropy balancing

The data of the 2017 wave of the IAB Establishment Panel is available at the Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB). For furter information see https://fdz.iab.de/en/FDZ_Establishment_Data/IAB_Establishment_Panel/IABBP_9317.aspx.
DOI: 10.17632/chm3xr2j7v
title: Ketogenic diet and chemotherapy combine to disrupt pancreatic cancer metabolism and growth

description: 13C-2H isotope tracing studies reveal that the 3HB is unidirectionally oxidized to make NADH. This stands in contrast to the carbohydrate-derived carboxylic acids lactate and pyruvate which rapidly interconvert, buffering NADH/NAD. In murine pancreatic tumors, ketogenic diet decreases glucose’s concentration and TCA cycle contribution, enhances 3HB’s concentration and TCA contribution, and modestly elevates NADH, but does not impact tumor growth. In contrast, the combination of ketogenic diet and cytotoxic chemotherapy substantially raises tumor NADH and synergistically suppresses tumor growth, tripling the survival benefits of chemotherapy alone. Chemotherapy and ketogenic diet also synergize in immune-deficient mice, although long-term growth suppression was only observed in mice with an intact immune system.
DOI: 10.6084/m9.figshare.89562.v1
title: FTIR spectroscopy of different water types

description: In order to understand the accuracy of our DDW effects on life experiments we need a way to ensure that the deuterium depleted water is not rapidly changing into normal water (which contains approximately 150ppm deuterium). We have used FTIR spectroscopy to determine if this is a viable method to ascertain differences in the amounts of deuterium between various water types. In this study we are comparing the transmission curves of DI water, 99.9% D2O, DDW (&lt;1ppm deuterium), an approximately 50/50 mix of DDW and D2O, and a 3 month old sample of DDW. We are using a Nicolet 6700 FTIR spectrometer [http://www.thermoscientific.com/ecomm/servlet/productsdetail?productId=11961710&groupType=PRODUCT&searchType=0&&storeId=11152 from Thermo]. The exact setup can be found in the link that accompanies this dataset, along with explanations of the data. Follow this [http://research.iheartanthony.com/tag/ft-ir/ link] for up to date information on the experiment. Aside: I've updated edited versions of the data (files 4 and 5) and the original unedited data (files 6-12).
DOI: 10.17632/t3j9mtwbdr
title: Mendeley Supplemental File 1: OSATS Methods and Results

description: Mendeley Supplementary File 1: Methods and Results
DOI: 10.6084/m9.figshare.1237118.v1
title: PGLS Problem Set - AnthroTree 2014

description: Problem set and data/tree from my AnthroTree 2014 workshop on PGLS and generally using R for phylogenetic comparative methods.
DOI: 10.6084/m9.figshare.29119205.v1
title: DrugGEN: Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks

description: Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. Generative deep learning models, which create synthetic data given a probability distribution, offer a high potential for designing de novo molecules. However, for them to be useful in real-life drug development pipelines, these models should be able to design drug-like and target-centric molecules. In this study, we propose an end-to-end generative system, DrugGEN, for the de novo design of drug candidate molecules that interact with intended target proteins. The proposed method represents molecules as graphs and processes them via a generative adversarial network comprising graph transformer layers. The system is trained using a large dataset of drug-like compounds and target-specific bioactive molecules to design effective inhibitory molecules against the AKT1 protein, which is critically important in developing treatments for various types of cancer. We conducted molecular docking and dynamics, to assess the target-centric generation performance of the model, as well as attention score visualisation to examine model interpretability. In parallel, selected compounds were chemically synthesized and evaluated in the context of in vitro enzymatic assays, which identified two bioactive molecules that inhibited AKT1 at low micromolar concentrations. These results indicate that DrugGEN's de novo molecules have a high potential for interacting with the AKT1 protein at the level of its native ligands. Using the open-access DrugGEN codebase, it is possible to easily train models for other druggable proteins, given a dataset of experimentally known bioactive molecules.
DOI: 10.6084/m9.figshare.5124565.v1
title: Supplementary Material for: Preclinical Cardiorenal Interrelationships in Essential Hypertension

description: A diseased heart causes numerous adverse effects on kidney function, and vice versa renal disease can significantly impair cardiac function. Beyond these heart-kidney interrelationships at the clinical level, a reciprocal association has been suggested to exist even in the early stages of those organs' dysfunction. The aim of the present review is to provide evidence of the presence of a preclinical cardiorenal syndrome in the particular setting of essential hypertension, focusing on the subsequent hypertensive sequelae on heart and kidneys. In particular, a plethora of studies have demonstrated not only the predictive role of kidney damage, as expressed by either decreased glomerular filtration or increased urine albumin excretion, for adverse left ventricular functional and structural adaptations but also preclinical heart disease, i.e. left ventricular hypertrophy that is associated with deterioration of renal function. Notably, these reciprocal interactions seem to exist even at the level of microcirculation, since both coronary flow reserve and renal hemodynamics are strongly related with clinical and preclinical renal and cardiac damage, respectively. In this preclinical setting, common pathophysiological denominators, including the increased hemodynamic load, sympathetic and renin-angiotensin system overactivity, increased subclinical inflammatory reaction, and endothelial dysfunction, account not only for the reported associations between overt cardiac and renal damage but also for the parallel changes that occur in coronary and renal microcirculation.
DOI: 10.17632/gvtyw95m89
title: Data from the DGT devices deployment in the South Saskatchewan River (Clarkboro Ferry)

description: Nine psychoactive drugs (amitriptyline, bupropion, carbamazepine, citalopram, clozapine, duloxetine, fluoxetine, lamotrigine, and venlafaxine) were detected in sediment and water by the DGT devices.

The data includes the measurement of diffusion coefficient (D)  by stack method and cell diffusion method, adsorption experiment tests for DGT materials, and Sepra-ZT binding gel, DGT-induced concentrations in water and sediment (by depth), and three-fraction concentrations in sediments. The Matlab fraction transformation model file is included. 

The DGT devices were deployed and replaced after 1, 3, 6, 9, 12, 15, and 21 d.

For fast-desorbing fraction in sediment,  the samples were extracted at the time interval of 0.2, 0.4, 0.6, 1, 3, 10, 24, 48, 96, and 250 h.
DOI: 10.17632/xhyk3sbcmk
title: 10.3390/ijms252312916

description: raw data of " Role of Blood P-Tau Isoforms (181, 217, 231) in Predicting Conversion from MCI to Dementia Due to Alzheimer's Disease: A Review and Meta-Analysis" doi 10.3390/ijms252312916
DOI: 10.17632/swcykgtkfv
title: Soil and landscape attributes of Amazonian Dark Earths

description: Amazonian Dark Earths are soil patches that occur in the Amazon region, characterized by high sequestered carbon content and high fertility compared to adjacent soils. These lands have been considered a model for sustainable agricultural use. As there is still no consensus about the origin and formation process of these soils, the preservation of the Amazonian Dark Earth sites is of fundamental importance. Thus,
DOI: 10.15468/dl.8wyyvf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.6841 -13.2744,44.9648 -13.45,44.9648 -12.0572,44.6243 -11.5921,43.9413 -11.6518,43.8001 -11.0974,43.4999 -10.8854,43.0582 -10.9337,42.804 -11.2068,42.7621 -11.9579,43.3325 -12.7962,44.5603 -12.8747,44.6841 -13.2744))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012981-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.13266548.v1
title: Text mining results for gene and organism mentions

description: Text mining results for organism and gene mentions. Data retrieved from Jensenlab (http://download.jensenlab.org/) on May 25th 2020 and filtered to contain only results for mouse, rat, and pig.<br>
DOI: 10.17632/k5nj539vc2
title: Land ownership in Northwest Forest Plan region of Washington, Oregon and California

description: Geographic information systems (GIS) shapefile identifying classes of land ownership within the Northwest Forest Plan region (plus a 50 km buffer) in the United States of America, including parts of the states of Washington, Oregon and California. The ownership categories identified are: federal, state, private industrial, private non-industrial, private conservation, indian, other and unknown. This dataset should be regarded as preliminary, has no official status, and the creator takes no responsibility for any errors. The layer has been clipped to state boundaries, and to within a 50 km buffer of the NWFP boundary. The dataset was developed to investigate the trajectories of vegetation change (older forests and early-seral ecosystems) and changes in bird populations within different ownership categories before and after the implementation of the Northwest Forest Plan. This analysis is described in a paper which will be linked here when published.
DOI: 10.6084/m9.figshare.6756836.v2
title: Tables from: "Natural selection on the Arabidopsis thaliana genome in present and future climates"

description: Through the lens of evolution, climate change is an agent of natural selection that forces populations to change and adapt, or face extinction. Current assessments of the risks associated with climate change, however, do not typically take into account that natural selection can dramatically impact the genetic makeup of populations. We made use of extensive genome information in Arabidopsis thaliana and measured how rainfall-manipulation affected the fitness of 517 natural lines grown in Spain and Germany. This allowed us to directly infer selection at the genetic level. Natural selection was particularly strong in the hot-dry Spanish location, killing 63% of lines and significantly changing the frequency of ~5% of all genome-wide variants. A significant proportion of this selection over variants could be predicted from the climate (mis)match between experimental sites and the geographic areas where variants are found (R2=29-52%). Field-validated predictions across the species range indicated that Mediterranean and Western Siberia populations — at the edges of the species' environmental limits — currently experience the strongest climate-driven selection, and Central Europeans the weakest. With rapidly increasing droughts and rising temperatures in Europe, we forecast a wave of directional selection moving North, putting many native A. thaliana populations at evolutionary risk.<br>
DOI: 10.6084/m9.figshare.7575575.v1
title: Radiation Tolerance of Nanopore Sequencing Technology

description: NanoOK full PDF reports.
DOI: 10.17632/379m879wpf
title: "Measurement invariance and sex and age differences of the Big Five Inventory-2: Evidence from the Russian version", 2017-2018. [data files and codes]
DOI: 10.17632/9nkdbmpz3t
title: Ebenezer Georgia Ground Penetrating Radar

description: The folder (Area B) contains the raw data files (.rad and .rd3) from a ground penetrating radar survey identified as GPR Block B at the archaeological site of New Ebenezer (Archaeological site number 9EF28) in Effingham County, Georgia USA. These data were collected by Daniel T. Elliott in 2002 using GroundVision software. The GPR data was post-processed in 2010 using GPR-Slice software and those files are in Folder EbenB. The results of this GPR survey, of which GPR Block B was the first area sampled, are detailed in a LAMAR Institute Publication Series Report Number 73, available at https://thelamarinstitute.org/images/PDFs/publication_73.pdf
DOI: 10.17632/b7bp6xhrcd
title: GoCJ: Google Cloud Jobs Dataset

description: The GoCJ dataset is comprised of different files. Each file contains the sizes of a specified number of jobs in terms of Million Instructions (MI) derived from the workload behaviors witnessed in google cluster traces (surveys published). The name of the file determines the number of jobs within the file i.e.; GoCJ_Dataset_100 has the sizes of 100 jobs. The GoCJ dataset is accepted for publication in MDPI Data journal, the citation of the article will be provied very soon. Moreover, the GoCJ dataset (i..e named as Google-like realistic dataset) is used in the following research work of the author. Hussain, A., Aleem, M., Khan, A. et al. Cluster Comput (2018). https://doi.org/10.1007/s10586-018-2414-6
DOI: 10.17632/pcbtb8xfg6
title: Embodying an artificial hand increases blood flow to the investigated limb 

description: Research: Embodying an artificial hand increases blood flow to the investigated limb

Data from RHI protocols and Blood flow recording from radial artery
Supplementary analysis.docx: Supplementary analysis for different baseline length
Dataset.mat: matrices of data, matlab dataset
MeanBF -> mean blood flow [20 participants X 12000 samples (from -20s to 100s at 100Hz) X 3 conditions (order: VisionOnly, Synch, Asynch)]
RI -> resistance index [20 participants X 12000 samples (from -20s to 100s at 100Hz) X 3 conditions (order: VisionOnly, Synch, Asynch)]
RHIi -> RHI index [20 participants X 2 conditions (order: Synch, Asynch)]
V -> Vividness score [20 participants X 2 conditions (order: Synch, Asynch)]
T -> Prevalence score [20 participants X 2 conditions (order: Synch, Asynch)]
PD -> Proprioceptive drift  [20 participants X 3 conditions (order: Synch, Asynch,VisionOnly)]
DOI: 10.6084/m9.figshare.25710048.v1
title: Supplementary_data_1.fsa

description: The proteins encoded in the gut microbiome's genome were obtained from the NIH Human Microbiome Project. The original list is available at: http://downloads.hmpdacc.org/data/reference_genomes/body_sites/Gastrointestinal_tract.pep.fsa. After refining the list to remove duplicate entries, we identified 457 distinct organism names and 1,468,778 protein sequences (Supplementary Data 1).
DOI: 10.6084/m9.figshare.28761062.v1
title: A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture.

description: This dataset contains the chemical and structural information of amine-impregnated adsorbents for carbon capture from both concentrated and diluted sources. The data were sourced from 52 articles on bibliographic platforms. A total of 1,336 data points were manually collected from text and figures, with data processing such as unit conversions, calculations, and estimations based on the reported data. Each data point is characterized by 28 features, including the CO2 capture performance of various adsorbents from diluted to concentrated sources, resulting in 29,857 records.
DOI: 10.17632/8wwc5sf45n
title: Healthcare Resource Allocation

description: Using data from 284 prefecture-level and above cities in China from 2008 to 2021, this study investigates the impact of healthcare resource allocation on urban economic resilience.
DOI: 10.17632/f9mpn725rn
title: Deucravacitinib, a selective, allosteric tyrosine kinase 2 inhibitor, in scalp psoriasis: a subset analysis of two phase 3 randomized trials in plaque psoriasis

description: Supplemental material for Original Article titled "Deucravacitinib, a selective, allosteric tyrosine kinase 2 inhibitor, in scalp psoriasis: a subset analysis of two phase 3 randomized trials in plaque psoriasis".