cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr36754.v1
title: Flint, Michigan Police Data, 2005-2013
title: Version 1

description: This study includes data on all crime incidents in Flint, Michigan from 2005-2013 as collected by the Flint police department. This data was geocoded using ArcGIS as part of a project mapping crime in Flint by the Michigan Youth Violence Prevention Center. The current release includes nine datasets consisting of geocoded crime data by year. Crimes are recorded according to NIBRS classifications and coded on the block level. No demographic information is available as part of this release.
description: None
description: There is no sampling. The data set includes all the crime incidents for the time period in all areas of Flint, MI.
description: Datasets: 
DS0: Study-Level Files
DS1: Geocoded Crime Data 2005
DS2: Geocoded Crime Data 2006
DS3: Geocoded Crime Data 2007
DS4: Geocoded Crime Data 2008
DS5: Geocoded Crime Data 2009
DS6: Geocoded Crime Data 2010
DS7: Geocoded Crime Data 2011
DS8: Geocoded Crime Data 2012
DS9: Geocoded Crime Data 2013
description: All crime incidents recorded by police in Flint, Michigan from 2005 to 2013. Smallest Geographic Unit: street block
description: record abstractsAdditional information about this study, as well as maps derived from the data, can be found at the Crime Map Library website of the Michigan Youth Violence Prevention Center.
DOI: 10.3886/icpsr36754
title: Flint, Michigan Police Data, 2005-2013
title: Archival Version

description: This study includes data on all crime incidents in Flint, Michigan from 2005-2013 as collected by the Flint police department. This data was geocoded using ArcGIS as part of a project mapping crime in Flint by the Michigan Youth Violence Prevention Center. The current release includes nine datasets consisting of geocoded crime data by year. Crimes are recorded according to NIBRS classifications and coded on the block level. No demographic information is available as part of this release.
description: None
description: There is no sampling. The data set includes all the crime incidents for the time period in all areas of Flint, MI.
description: Datasets: 
DS0: Study-Level Files
DS1: Geocoded Crime Data 2005
DS2: Geocoded Crime Data 2006
DS3: Geocoded Crime Data 2007
DS4: Geocoded Crime Data 2008
DS5: Geocoded Crime Data 2009
DS6: Geocoded Crime Data 2010
DS7: Geocoded Crime Data 2011
DS8: Geocoded Crime Data 2012
DS9: Geocoded Crime Data 2013
description: All crime incidents recorded by police in Flint, Michigan from 2005 to 2013. Smallest Geographic Unit: street block
description: record abstractsAdditional information about this study, as well as maps derived from the data, can be found at the Crime Map Library website of the Michigan Youth Violence Prevention Center.
DOI: 10.15468/dl.hde98b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "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 ((19.1382 20.0599,10.1382 20.0599,10.1382 11.0599,19.1382 11.0599,19.1382 20.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005386-250827131500795/datasets/export for details.
DOI: 10.15468/dl.wsezpm
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amatitlania nigrofasciata",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005387-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huu67e
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amatitlania nigrofasciata",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005388-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nh2emg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amatitlania nigrofasciata",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005389-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24886335
title: Effects of environmental covariates on growth sensitivity

description: Equation 4: We examined the effects of species, mean climatologies and elevation at each site, and tree ontogeny, on <i>t</i><sub>FFD</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>)</sub>, and <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>)</sub>, using a Generalized Additive Model (GAM). Variables characterizing tree ontogeny included tree age (years) and size (logBA) at time of sampling. To determine whether the splines vary with species, we run an interaction model of covariates. In this interaction model, the fitting process optimizes the performance where some species may behave differently from others, in interactions with environmental covariates.Equation 5: We were interested in knowing how climate sensitivity <i>t</i> depends smoothly on covariates, the hypothesis being that the effects of MAT and MAP are felt toward the cold and warm edges (or wet and dry edges) of the tree species' sample distributions. This hypothesis is tested by examining the confidence intervals (CIs) of the covariate’s predicted fits, which here are zero-centered. The null hypothesis ‘no edge effect’ is rejected whenever the CIs at the extremes or limits of the range of the species’ data exclude zero (see Figure S2; Simpson, 2018). All tests were two-sided, i.e., we made no hypothesis about the directionality of responses.The strength and significance of covariates was determined using the associated F-ratio and <i>P</i>-value. We used the ‘bam’ function, <i>k</i> =5, and the fREML method to fit these species’ models. The data contained in this folder are raw outputs from these models.A subset of the tree-ring data extracted from the CFS-TRenD repository is also included. <br>
DOI: 10.6084/m9.figshare.24886335.v4
title: Effects of environmental covariates on growth sensitivity

description: Equation 4: We examined the effects of species, mean climatologies and elevation at each site, and tree ontogeny, on <i>t</i><sub>FFD</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>)</sub>, and <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>)</sub>, using a Generalized Additive Model (GAM). Variables characterizing tree ontogeny included tree age (years) and size (logBA) at time of sampling. To determine whether the splines vary with species, we run an interaction model of covariates. In this interaction model, the fitting process optimizes the performance where some species may behave differently from others, in interactions with environmental covariates.Equation 5: We were interested in knowing how climate sensitivity <i>t</i> depends smoothly on covariates, the hypothesis being that the effects of MAT and MAP are felt toward the cold and warm edges (or wet and dry edges) of the tree species' sample distributions. This hypothesis is tested by examining the confidence intervals (CIs) of the covariate’s predicted fits, which here are zero-centered. The null hypothesis ‘no edge effect’ is rejected whenever the CIs at the extremes or limits of the range of the species’ data exclude zero (see Figure S2; Simpson, 2018). All tests were two-sided, i.e., we made no hypothesis about the directionality of responses.The strength and significance of covariates was determined using the associated F-ratio and <i>P</i>-value. We used the ‘bam’ function, <i>k</i> =5, and the fREML method to fit these species’ models. The data contained in this folder are raw outputs from these models.A subset of the tree-ring data extracted from the CFS-TRenD repository is also included. <br>
DOI: 10.6084/m9.figshare.24886335.v3
title: Effects of environmental covariates on growth sensitivity

description: Equation 4: We examined the effects of species, mean climatologies and elevation at each site, and tree ontogeny, on <i>t</i><sub>FFD</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>-1)</sub>, <i>t</i><sub>SMD(</sub><sub><em>T</em></sub><sub>)</sub>, and <i>t</i><sub>VPD(</sub><sub><em>T</em></sub><sub>)</sub>, using a Generalized Additive Model (GAM). Variables characterizing tree ontogeny included tree age (years) and size (logBA) at time of sampling. To determine whether the splines vary with species, we run an interaction model of covariates. In this interaction model, the fitting process optimizes the performance where some species may behave differently from others, in interactions with environmental covariates.Equation 5: We were interested in knowing how climate sensitivity <i>t</i> depends smoothly on covariates, the hypothesis being that the effects of MAT and MAP are felt toward the cold and warm edges (or wet and dry edges) of the tree species' sample distributions. This hypothesis is tested by examining the confidence intervals (CIs) of the covariate’s predicted fits, which here are zero-centered. The null hypothesis ‘no edge effect’ is rejected whenever the CIs at the extremes or limits of the range of the species’ data exclude zero (see Figure S2; Simpson, 2018). All tests were two-sided, i.e., we made no hypothesis about the directionality of responses.The strength and significance of covariates was determined using the associated F-ratio and <i>P</i>-value. We used the ‘bam’ function, <i>k</i> =5, and the fREML method to fit these species’ models. The data contained in this folder are raw outputs from these models.A subset of the tree-ring data extracted from the CFS-TRenD repository is also included. <br>
DOI: 10.25549/usctheses-ouc11399kj1y
title: 10 musical compositions: You talk, etc.
DOI: 10.25549/usctheses-ouc11399kj22
title: 12 musical compositions: Hard weather, etc.
DOI: 10.3886/icpsr36955.v1
title: State of Michigan: Taking Action on Flint Water Test Results, 2015-2017
title: Version 1

description: The data were downloaded from the State of Michigan Taking Action on Flint Water website. This website contains testing results for blood levels, sentinel sites, residential sites, schools, establishment sites, and Confirming Lead Elimination After Replacement (CLEAR) sites. For this study, the sentinel testing, school testing, and establishment testing results were used.
description: The purpose of the study was to collect water testing results in the city of Flint, Michigan. It is part of a process to allow community members access to the ongoing water testing results following the water crisis which began in Flint in 2014.
description: The data were downloaded from the State of Michigan Taking Action on Flint Water website. In particular, the Sentinel Testing, School Testing, and Establishment Testing results were used.


For the Sentinel sites, Excel files were combined into two different datasets. Then, each Excel file had extraneous information removed. Excel files for each section (sentinel and extended sentinel) were combined to create two datasets. The variable "date posted" was added to the sentinel and extended sentinel datasets.


For the School sites, PDF files were converted to Excel. Then, each Excel file had extraneous information removed. Excel files for each section (pre-fixture replacement, post-fixture replacement, post-filter installation) were combined to create three datasets. Variables added to each dataset include school name, school city, school ZIP code, data capture time point, and sampling assessment date.


For the Establishment sites, PDF files were converted to Excel. Then, each Excel file had extraneous information removed. Excel files for each section (adult foster care and day care) were combined to create two datasets. Variables added to the adult foster care dataset include the adult foster care name, city, ZIP code, and date of post filter assessments. Variables added to the day care dataset include the day care name, city, ZIP code, and date of post filter assessments.
description: The data are not weighted, and the dataset does not contain weight variables.
description: Datasets: 
DS0: Study-Level Files
DS1: Establishment Testing Results
DS2: Sentinel Testing Results
DS3: School Testing Results
description: Schools, day care centers, adult foster and health care centers, and sentinel sites in Flint, Michigan. Smallest Geographic Unit: Dwelling
description: record abstractsUsers may be able to find additional information by accessing the State of Michigan Taking Action on Flint Water home page.
DOI: 10.3886/icpsr36955
title: State of Michigan: Taking Action on Flint Water Test Results, 2015-2017
title: Archival Version

description: The data were downloaded from the State of Michigan Taking Action on Flint Water website. This website contains testing results for blood levels, sentinel sites, residential sites, schools, establishment sites, and Confirming Lead Elimination After Replacement (CLEAR) sites. For this study, the sentinel testing, school testing, and establishment testing results were used.
description: The purpose of the study was to collect water testing results in the city of Flint, Michigan. It is part of a process to allow community members access to the ongoing water testing results following the water crisis which began in Flint in 2014.
description: The data were downloaded from the State of Michigan Taking Action on Flint Water website. In particular, the Sentinel Testing, School Testing, and Establishment Testing results were used.


For the Sentinel sites, Excel files were combined into two different datasets. Then, each Excel file had extraneous information removed. Excel files for each section (sentinel and extended sentinel) were combined to create two datasets. The variable "date posted" was added to the sentinel and extended sentinel datasets.


For the School sites, PDF files were converted to Excel. Then, each Excel file had extraneous information removed. Excel files for each section (pre-fixture replacement, post-fixture replacement, post-filter installation) were combined to create three datasets. Variables added to each dataset include school name, school city, school ZIP code, data capture time point, and sampling assessment date.


For the Establishment sites, PDF files were converted to Excel. Then, each Excel file had extraneous information removed. Excel files for each section (adult foster care and day care) were combined to create two datasets. Variables added to the adult foster care dataset include the adult foster care name, city, ZIP code, and date of post filter assessments. Variables added to the day care dataset include the day care name, city, ZIP code, and date of post filter assessments.
description: The data are not weighted, and the dataset does not contain weight variables.
description: Datasets: 
DS0: Study-Level Files
DS1: Establishment Testing Results
DS2: Sentinel Testing Results
DS3: School Testing Results
description: Schools, day care centers, adult foster and health care centers, and sentinel sites in Flint, Michigan. Smallest Geographic Unit: Dwelling
description: record abstractsUsers may be able to find additional information by accessing the State of Michigan Taking Action on Flint Water home page.
DOI: 10.5281/zenodo.16948935
title: Reproducibility Package: DFT Defects and SCAPS Simulations for Mixed Sn–Pb Perovskites
DOI: 10.5281/zenodo.16948936
title: Reproducibility Package: DFT Defects and SCAPS Simulations for Mixed Sn–Pb Perovskites
DOI: 10.15468/dl.jeh8bu
title: Occurrence Download

description: A dataset containing 17443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ambrosia psilostachya"
 ]
}

 The dataset includes 17443 records from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005390-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16910325
title: Stāmerienas tehnikuma salidojuma 2025. gadā interviju transkripcijas

description: Pastaigu interviju transkripcijas ar Stāmerienas tehnikuma 2025. gada salidojuma apmeklētājiem Stāmerienas pilī 28.jūnijā.
DOI: 10.5281/zenodo.16910326
title: Stāmerienas tehnikuma salidojuma 2025. gadā interviju transkripcijas

description: Pastaigu interviju transkripcijas ar Stāmerienas tehnikuma 2025. gada salidojuma apmeklētājiem Stāmerienas pilī 28.jūnijā.
DOI: 10.15468/dl.da9hvv
title: Occurrence Download

description: A dataset containing 998 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe microstigma Salm-Dyck"
 ]
}

 The dataset includes 998 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022507-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhtrrn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Palaemon pandaliformis (Stimpson, 1871)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15192534
title: IODP Expedition 355 Proposal Planning Data

description: Only data not available from other repositories or locations are included here. Locations for data in other repositories are indicated in the Metadata cvs file.
DOI: 10.5281/zenodo.15192535
title: IODP Expedition 355 Proposal Planning Data

description: Only data not available from other repositories or locations are included here. Locations for data in other repositories are indicated in the Metadata cvs file.
DOI: 10.22002/rhmdt-gem90
title: JV6781_ΔdotLOB

description: ΔdotLOB (Deletion of Dot/Icm ATPases dotL, dotO, dotB)
description: <strong>Tilt Series Date:</strong> 2017-07-17</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal at F30, Caltech.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine. Scrape cells off a plate, dissolve in the media, adjust the cell density to 0.6 and make a dilution series. Start O/N culture with all of them and freeze cells next day from the one in early stationary phase that is OD ~ 3.0. This time cell density was ~2.6</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for this strain at OD~ 2.6, cell density was increased to 2x by centrifugation. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-07-17-34/rawdata/</p>20170717_JV67810038.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        20170717_JV67810038_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
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        > <i class="download icon"></i> Download </a></p>