cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27j093
title: CCDC 2070964: Experimental Crystal Structure Determination

description: Related Article: Li-Long Dang, Ting-Ting Li, Zheng Cui, Dong Sui, Lu-Fang Ma, Guo-Xin Jin|2021|Dalton Trans.|50|16984|doi:10.1039/D1DT02755G
DOI: 10.5517/ccdc.csd.cc282nfg
title: CCDC 2087925: Experimental Crystal Structure Determination

description: Related Article: Siyuan L. Xie, Corey A. Sanz, Michael D. Fryzuk|2021|Dalton Trans.|50|17140|doi:10.1039/D1DT03129E
DOI: 10.5517/ccdc.csd.cc28584w
title: CCDC 2090427: Experimental Crystal Structure Determination

description: Related Article: Moyna Das, Vishakha Jaswal, Suvendu Maity, Prasanta Ghosh, Madhushree Sarkar|2021|Mol. Syst. Des. Eng.|6|1047|doi:10.1039/D1ME00079A
DOI: 10.5281/zenodo.5730287
title: data_set_for_revision_of_manuscript_contrail_formation_within_cirrus_Verma_Burkhardt_26112021

description: This data set has new figures used in the revision of the manuscript 'contrail formation within cirrus'. and data relevent to paper is in the below given DOI. <pre><strong>https://doi.org/10.5281/zenodo.5744985</strong></pre>
DOI: 10.5281/zenodo.5730286
title: data_set_for_revision_of_manuscript_contrail_formation_within_cirrus_Verma_Burkhardt_26112021

description: This data set has new figures used in the revision of the manuscript 'contrail formation within cirrus'. and data relevent to paper is in the below given DOI. <pre><strong>https://doi.org/10.5281/zenodo.5744985</strong></pre>
DOI: 10.6084/m9.figshare.17100203.v1
title: Material suplementar da tese

description: Material suplementar da tese.
DOI: 10.6084/m9.figshare.17100203
title: Material suplementar da tese

description: Material suplementar da tese.
DOI: 10.25810/1v94-fn87
title: FIRED REPUBLIC OF THE CONGO

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Republic of the Congo from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5281/zenodo.5734705
title: Photostable Ruthenium(II) Isocyanoborato Luminophores and Their Use in Energy Transfer and Photoredox Catalysis

description: Electronic data accompanying the publication in <em>JACS Au</em> <strong>2021</strong>,<em>1</em>, 819–832; https://pubs.acs.org/doi/10.1021/jacsau.1c00137
DOI: 10.5281/zenodo.5734704
title: Photostable Ruthenium(II) Isocyanoborato Luminophores and Their Use in Energy Transfer and Photoredox Catalysis

description: Electronic data accompanying the publication in <em>JACS Au</em> <strong>2021</strong>,<em>1</em>, 819–832; https://pubs.acs.org/doi/10.1021/jacsau.1c00137
DOI: 10.5281/zenodo.5742997
title: Rest-activity daily rhythm and physical activity levels after hip and knee joint replacement: the role of actigraphy in orthopedic clinical practice.

description: Elective hip and knee joint replacement for osteoarthritis are cost-effective surgical procedures requiring specific rehabilitation programs. Actigraphy is widely used in both research and clinical practice to study activity patterns with great accuracy and validity but it has never been utilized in orthopedic patients. Therefore, the aim of this study was to objectively assess, through actigraphy, physical activity (PA) levels and rest-activity daily rhythm (RAR) in patients undergoing hip or knee joint replacement and hospitalized for ten days after surgery. Twenty subjects (11 males and 9 females; age: 62.68 ± 10.39 years old; BMI: 29.03 ± 3.92 kg/m2) wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record both PA levels and RAR for 11 consecutive days and data on subjective scores of pain, by a visual analog scale (VAS), and functional and clinical scores were collected. The following time-points were considered for the statistical analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth (POST10) day after surgery. RAR were processed with the population mean cosinor to describe the rhythm's characteristics (acrophase, amplitude and MESOR) while data on actigraphy-based PA, VAS, and functional clinical scores were compared among PRE, POST1, POST4 and POST 10 with the RM-ANOVA or the non-parametric Friedman test. The day after surgery the subjects had a flattened RAR compared to the other conditions: lower values were detected in POST1 compared to both PRE, POST4 and POST10 for MESOR (<em>p</em> &lt; .0001; η2p = .71, large) and amplitude (<em>p</em> &lt; .0001; η2p = .63, large) while RAR's acrophase (<em>p</em> &lt; .0001; η2p = .61, large) was delayed in PRE (16:45) compared to POST1 (12:42), POST4 (14:38), and POST10 (14:38). PA levels were significantly lower at POST 1 (76.7 ± 33.4) compared to PRE (192.3 ± 91.5; <em>p</em> &lt; .0001 and ES: 1.68, large), POST4 (137.9 ± 45.9; <em>p</em> &lt; .0001 and ES: 1.54, large), and POST10 (131.2 ± 54.3; <em>p</em> &lt; .0001 and ES: 1.21, large) whereas VAS and functional clinical values significantly improved at POST10. Hip and knee joint replacement negatively influenced RAR and PA the first day after surgery but a progressive improvement in the circadian pattern of rest-activity cycle, PA levels, VAS and functional ability was recorded from POST4 to POST10. Actigraphy has the ability to collect real-life data without interfering with clinical practice and give clinicians a new measure of performance that is currently not available. This tool could allow to identify patients with disrupted circadian rhythm and reduced PA in the peri-operative period in orthopedic surgery, and timely intervene on these subjects with personalized rehabilitative intervention.
DOI: 10.5281/zenodo.5742996
title: Rest-activity daily rhythm and physical activity levels after hip and knee joint replacement: the role of actigraphy in orthopedic clinical practice.

description: Elective hip and knee joint replacement for osteoarthritis are cost-effective surgical procedures requiring specific rehabilitation programs. Actigraphy is widely used in both research and clinical practice to study activity patterns with great accuracy and validity but it has never been utilized in orthopedic patients. Therefore, the aim of this study was to objectively assess, through actigraphy, physical activity (PA) levels and rest-activity daily rhythm (RAR) in patients undergoing hip or knee joint replacement and hospitalized for ten days after surgery. Twenty subjects (11 males and 9 females; age: 62.68 ± 10.39 years old; BMI: 29.03 ± 3.92 kg/m2) wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record both PA levels and RAR for 11 consecutive days and data on subjective scores of pain, by a visual analog scale (VAS), and functional and clinical scores were collected. The following time-points were considered for the statistical analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth (POST10) day after surgery. RAR were processed with the population mean cosinor to describe the rhythm's characteristics (acrophase, amplitude and MESOR) while data on actigraphy-based PA, VAS, and functional clinical scores were compared among PRE, POST1, POST4 and POST 10 with the RM-ANOVA or the non-parametric Friedman test. The day after surgery the subjects had a flattened RAR compared to the other conditions: lower values were detected in POST1 compared to both PRE, POST4 and POST10 for MESOR (<em>p</em> &lt; .0001; η2p = .71, large) and amplitude (<em>p</em> &lt; .0001; η2p = .63, large) while RAR's acrophase (<em>p</em> &lt; .0001; η2p = .61, large) was delayed in PRE (16:45) compared to POST1 (12:42), POST4 (14:38), and POST10 (14:38). PA levels were significantly lower at POST 1 (76.7 ± 33.4) compared to PRE (192.3 ± 91.5; <em>p</em> &lt; .0001 and ES: 1.68, large), POST4 (137.9 ± 45.9; <em>p</em> &lt; .0001 and ES: 1.54, large), and POST10 (131.2 ± 54.3; <em>p</em> &lt; .0001 and ES: 1.21, large) whereas VAS and functional clinical values significantly improved at POST10. Hip and knee joint replacement negatively influenced RAR and PA the first day after surgery but a progressive improvement in the circadian pattern of rest-activity cycle, PA levels, VAS and functional ability was recorded from POST4 to POST10. Actigraphy has the ability to collect real-life data without interfering with clinical practice and give clinicians a new measure of performance that is currently not available. This tool could allow to identify patients with disrupted circadian rhythm and reduced PA in the peri-operative period in orthopedic surgery, and timely intervene on these subjects with personalized rehabilitative intervention.
DOI: 10.5281/zenodo.5742821
title: Single and combined effect of acute sleep restriction and mental fatigue on basketball free-throw performance

description: <strong>Purpose: </strong>This study aimed to investigate the single and combined effects of sleep restriction (SR) and mental fatigue (MF) on free-throw (FT) performance among adult male basketball players. <strong>Methods: </strong>A total of 19 amateur male basketball players performed, in a randomized, counterbalanced, and crossover order, 2 identical experimental sessions separated by an interval of 1 week. The difference between the 2 sessions was in the quantity of sleep the night before the sessions, as follows: in one case, the participants followed their habitual sleep-wake routines; in the other session, they were forced to sleep not more than 5 hours. During the experimental sessions, the participants performed 60 basketball FTs on 2 occasions, separated by watching a basketball tactical video for 30 minutes designed to induce MF. As such, the FT test was completed in 4 different conditions: control, MF, SR, and SR and MF combined. <strong>Results: </strong>The participants registered a significantly lower total sleep time in acute SR (P &lt; .001). The subjective rating of MF was lower in the control than in MF, SR, and SR and MF combined (P &lt; .001). There were no differences between conditions for the subjective ratings of motivation. FT accuracy was higher in the control than in MF, SR, and SR and MF combined (P = .010), while no differences were observed between the 3 experimental conditions (all P &gt; .05). <strong>Conclusion: </strong>The results indicate that a combined effect of MF and SR induces a small reduction in basketball FT performance, similar to MF or SR alone.
DOI: 10.5281/zenodo.5742820
title: Single and combined effect of acute sleep restriction and mental fatigue on basketball free-throw performance

description: <strong>Purpose: </strong>This study aimed to investigate the single and combined effects of sleep restriction (SR) and mental fatigue (MF) on free-throw (FT) performance among adult male basketball players. <strong>Methods: </strong>A total of 19 amateur male basketball players performed, in a randomized, counterbalanced, and crossover order, 2 identical experimental sessions separated by an interval of 1 week. The difference between the 2 sessions was in the quantity of sleep the night before the sessions, as follows: in one case, the participants followed their habitual sleep-wake routines; in the other session, they were forced to sleep not more than 5 hours. During the experimental sessions, the participants performed 60 basketball FTs on 2 occasions, separated by watching a basketball tactical video for 30 minutes designed to induce MF. As such, the FT test was completed in 4 different conditions: control, MF, SR, and SR and MF combined. <strong>Results: </strong>The participants registered a significantly lower total sleep time in acute SR (P &lt; .001). The subjective rating of MF was lower in the control than in MF, SR, and SR and MF combined (P &lt; .001). There were no differences between conditions for the subjective ratings of motivation. FT accuracy was higher in the control than in MF, SR, and SR and MF combined (P = .010), while no differences were observed between the 3 experimental conditions (all P &gt; .05). <strong>Conclusion: </strong>The results indicate that a combined effect of MF and SR induces a small reduction in basketball FT performance, similar to MF or SR alone.
DOI: 10.25810/1b8w-7q08
title: FIRED TANZANIA

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Tanzania from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.25810/nx50-7m16
title: FIRED ZIMBABWE

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Zimbabwe from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.20375/0000-000e-7fdf-a
title: Kriminalpolitische Zeitschrift (KriPoZ) Ausgabe 6/2021
DOI: 10.20375/0000-000e-7fe0-7
title: Vorschläge des Kriminalpolitischen Kreises zu kriminalpolitischen Reformen in der Legislaturperiode 2021-2025
DOI: 10.20375/0000-000e-7fe1-6
title: Ein Jahrhundert Werbeverbot - historische Erwägungen zur Legitimation des § 219a StGB
DOI: 10.20375/0000-000e-7fe2-5
title: Jenseits der Beleidigung unter Kollektivbezeichnung? - Überlegungen zur Verhetzenden Beleidigung gem. § 192a StGB
DOI: 10.20375/0000-000e-7fe3-4
title: Strafvorschriften gegen falsche Impfpässe
DOI: 10.20375/0000-000e-7fe4-3
title: Das Gesetz zur Fortentwicklung der StPO und zur Änderung weiterer Vorschriften - Eine kritische Würdigung der Neuregelungen
DOI: 10.20375/0000-000e-7fe5-2
title: Strafprozessuale Wiederaufnahme und Verfassungsrecht
DOI: 10.20375/0000-000e-7fe6-1
title: Weitere Vorgaben im Kampf gegen den digitalen Hass - Zur Novellierung des NetzDG im Jahr 2021
DOI: 10.5523/bris.3h0hduxrq4awq2ffvhabjzbzi1
title: BVI-DVC Part 1
title: A Training Database for Deep Video Compression

description: Deep learning methods are increasingly being applied in the optimisation of video compression algorithms and can achieve significantly enhanced coding gains, compared to conventional approaches. Such approaches often employ Convolutional Neural Networks (CNNs) which are trained on databases with relatively limited content coverage. BVI-DVC is a new extensive and representative video database for training CNN-based coding tools, which contains 772 sequences at various spatial resolutions from 270p to 2160p. Experimental results show that the database produces significant improvements in terms of coding gains over three existing (commonly used) image/video training databases.
DOI: 10.6084/m9.figshare.17100233
title: Vegetation plots

description: The csv file ontains information on surveyed plots and sites (dates, coordinates) and collected explanatory variables.
DOI: 10.6084/m9.figshare.17100227
title: rawdata.RData

description: The rawdata.RData files includes all the raw data (information on surveyed plots, neophytes abundance, traits and trait hierarchy) to reproduce the study results. The r-files are available at github: https://github.com/berndpanassiti/Neophytes_Calilegua
DOI: 10.6084/m9.figshare.17100227.v2
title: rawdata.RData

description: The rawdata.RData files includes all the raw data (information on surveyed plots, neophytes abundance, traits and trait hierarchy) to reproduce the study results. The r-files are available at github: https://github.com/berndpanassiti/Neophytes_Calilegua
DOI: 10.6084/m9.figshare.17100227.v1
title: rawdata.RData

description: The rawdata.RData files includes all the raw data (information on surveyed plots, neophytes abundance, traits and trait hierarchy) to reproduce the study results. The r-files are available at github: https://github.com/berndpanassiti/Neophytes_Calilegua
DOI: 10.5281/zenodo.5745155
title: CLIC database of best practices

description: CLIC Database of best practices of cultural heritage adaptive reuse. Available at: http://140.164.42.97/clicapp/
description: Available at: http://140.164.42.97/clicapp/
DOI: 10.5281/zenodo.5745154
title: CLIC database of best practices

description: CLIC Database of best practices of cultural heritage adaptive reuse. Available at: http://140.164.42.97/clicapp/
description: Available at: http://140.164.42.97/clicapp/
DOI: 10.15468/dl.kgxb2z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Bledius osiris Normand, 1935",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102839-240626123714530/datasets/export for details.
DOI: 10.15468/dl.cd52qd
title: Occurrence Download

description: A dataset containing 59769 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Mustela erminea Linnaeus, 1758",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 59769 records from 478 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102835-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4djpaj
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygon amandae Loboda & Carvalho, 2013",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102840-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzb7eq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius aostanus Verhoeff, 1934",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102841-240626123714530/datasets/export for details.
DOI: 10.15468/dl.c5gxjq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lepthyphantes mauli Wunderlich, 1992",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102842-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/2mscty
title: export12054.arw

description: :unav
DOI: 10.57745/bts6fz
title: export11649.arw

description: :unav
DOI: 10.57745/c2fbuk
title: export11979.arw

description: :unav
DOI: 10.57745/mw9zzt
title: export10991.arw

description: :unav
DOI: 10.57745/xnjgqv
title: export13083.arw

description: :unav
DOI: 10.57745/7a4hg2
title: export13195.arw

description: :unav
DOI: 10.57745/emxhuz
title: export11284.arw

description: :unav
DOI: 10.57745/npleaw
title: export12134.arw

description: :unav
DOI: 10.57745/qgjukc
title: export13111.arw

description: :unav
DOI: 10.57745/vgenrc
title: export12119.arw

description: :unav