cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.szx8g3
title: Occurrence Download

description: A dataset listing the 39373 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 39373 records were derived from 659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003452-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3736x
title: Occurrence Download

description: A dataset containing 16100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Verbesina virginica"
 ]
}

 The dataset includes 16100 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003491-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95hseq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecyparis lawsoniana",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003492-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24brh4
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecyparis lawsoniana",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 920 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003489-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3wqq2
title: Occurrence Download

description: A dataset containing 12381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia auriculiformis"
 ]
}

 The dataset includes 12381 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003494-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm9edh
title: Occurrence Download

description: A dataset containing 59749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clethrionomys glareolus, Mustela putorius)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "Geometry POLYGON ((-180 -89.99893, 180 -89.99893, 180 83.59961, -180 83.59961, -180 -89.99893))"
 ]
}

 The dataset includes 59749 records from 845 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003449-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dx8a4y
title: Occurrence Download

description: A dataset containing 957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Brassica cretica"
 ]
}

 The dataset includes 957 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000581-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16966723
title: Single-cell Transcriptomic Profiling of Eutopic and Ectopic Endometrial Tissues Across the Menstrual Cycle

description: Raw and processed feature-barcode matrices are provided for all eutopic and ectopic samples, and split into menstrual cycle phases: proliferative, ovulation, mid-secretory, and late-secretory. Human endometrial tissue was lysed and the cell concentration is adjusted to 700-1200 cells/μL. Gel beads containing the barcode information are combined with the mixture of cells and enzymes, and then encapsulated by oil droplets on the surface of the microfluidic "double cross" system, forming Gel Beads-In-Emulsions (GEMs). GEMs flow into the reservior and are collected, the gel beads dissolve, and the lysed cells release mRNA, which binds to the barcode, UMI, and oligo (dT) sequences on the gel microspheres, reverse transcribing to form cDNA fragments, and labeling the samples. The oil droplets are broken, and PCR amplification is performed using cDNA as the template. The products of all GEMs are mixed to construct a standard seqeucning library. The cDNA is enzymatically digested into fragments of about 200-300 bp, and traditional second-generation sequencing library construction processes such as adding sequencing adapters and primers are performed, followed by PCR amplification to obtain the cDNA library. High-throughput sequencing of the constructed library is performed using the paired-end sequencing mode of the Illumina sequencing platform. 10x Genomics Cell Ranger v. 4.0 (https://support.10xGenomics.com/single-cell-gene-expression/software/overview/welcome) was used to filter, align, quantify, and identify the recovered cells from the raw data, ultimately obtaining the gene expression matrix for each cell. Reads were aligned to the GRCh37 (hg19) reference genome.
DOI: 10.5281/zenodo.16966724
title: Single-cell Transcriptomic Profiling of Eutopic and Ectopic Endometrial Tissues Across the Menstrual Cycle

description: Raw and processed feature-barcode matrices are provided for all eutopic and ectopic samples, and split into menstrual cycle phases: proliferative, ovulation, mid-secretory, and late-secretory. Human endometrial tissue was lysed and the cell concentration is adjusted to 700-1200 cells/μL. Gel beads containing the barcode information are combined with the mixture of cells and enzymes, and then encapsulated by oil droplets on the surface of the microfluidic "double cross" system, forming Gel Beads-In-Emulsions (GEMs). GEMs flow into the reservior and are collected, the gel beads dissolve, and the lysed cells release mRNA, which binds to the barcode, UMI, and oligo (dT) sequences on the gel microspheres, reverse transcribing to form cDNA fragments, and labeling the samples. The oil droplets are broken, and PCR amplification is performed using cDNA as the template. The products of all GEMs are mixed to construct a standard seqeucning library. The cDNA is enzymatically digested into fragments of about 200-300 bp, and traditional second-generation sequencing library construction processes such as adding sequencing adapters and primers are performed, followed by PCR amplification to obtain the cDNA library. High-throughput sequencing of the constructed library is performed using the paired-end sequencing mode of the Illumina sequencing platform. 10x Genomics Cell Ranger v. 4.0 (https://support.10xGenomics.com/single-cell-gene-expression/software/overview/welcome) was used to filter, align, quantify, and identify the recovered cells from the raw data, ultimately obtaining the gene expression matrix for each cell. Reads were aligned to the GRCh37 (hg19) reference genome.
DOI: 10.5281/zenodo.16967952
title: Machine Learning Cost Patterns Replication Package
DOI: 10.5281/zenodo.16967953
title: Machine Learning Cost Patterns Replication Package
DOI: 10.15468/dl.2xn4rc
title: Occurrence Download

description: A dataset containing 15346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ipomopsis aggregata"
 ]
}

 The dataset includes 15346 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000583-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e208462
title: U.S. State and Local Tax Rates, 1975 - 2022

description: We develop a dataset of state (1977–2022)
and local (2000–2022) tax rates from personal income, corporate income, property,
sales, and excise taxes. We utilize sources such as NBER TaxSim, Tax Foundation, CCH CorpSystem, state and local level
tax authority websites (typically the department of revenue or equivalent body), as well as data from
other research. For each state and local tax type, we collect annual data going back in time as far
possible. Local jurisdictions include everything from city and county governments to overlapping
taxing geographies defined by local school boundaries, water and fire districts, or even specially
constructed business tax districts. We aggregate local tax rates to the county level as this represents a stable and well-defined geographic mapping that is non-overlapping and corresponds well to other available measures of governmental oversight and economic activity.<br><br>Update August 2025: the state-level property tax rates reported in V1 were not effective percent tax rates as reported in the published version of our paper. V2 contains the correctly scaled rates.
DOI: 10.3886/e208462v2
title: U.S. State and Local Tax Rates, 1975 - 2022

description: We develop a dataset of state (1977–2022)
and local (2000–2022) tax rates from personal income, corporate income, property,
sales, and excise taxes. We utilize sources such as NBER TaxSim, Tax Foundation, CCH CorpSystem, state and local level
tax authority websites (typically the department of revenue or equivalent body), as well as data from
other research. For each state and local tax type, we collect annual data going back in time as far
possible. Local jurisdictions include everything from city and county governments to overlapping
taxing geographies defined by local school boundaries, water and fire districts, or even specially
constructed business tax districts. We aggregate local tax rates to the county level as this represents a stable and well-defined geographic mapping that is non-overlapping and corresponds well to other available measures of governmental oversight and economic activity.<br><br>Update August 2025: the state-level property tax rates reported in V1 were not effective percent tax rates as reported in the published version of our paper. V2 contains the correctly scaled rates.
DOI: 10.15468/dl.nacdku
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galeopsis tetrahit",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000587-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsxm4b
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampyridae",
 "Country is Korea, Republic of",
 "MediaType is Image"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000586-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t8tq6
title: Occurrence Download

description: A dataset containing 1780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galeopsis tetrahit",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1780 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000588-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3z6xn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus volviticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000589-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6371
title: IITU_Safety-Helmet_Dataset_v1.0
DOI: 10.3886/e132762v2-187352
title: Data and Code for: The Effects of Parental and Sibling Incarceration: Evidence from Ohio

description: Every year, millions of Americans experience the incarceration of a family member. Using 30 years of administrative data from Ohio and exploiting differing incarceration propensities of randomly assigned judges, this paper provides the first quasi-experimental estimates of the effects of parental and sibling incarceration in the US. Contrary to conventional wisdom, parental incarceration has a net positive effect on some important outcomes for children, reducing their likelihood of incarceration by 4.9 percentage points and improving their adult neighborhood quality. While estimates on academic performance and teen parenthood are imprecise, we reject large positive or negative effects. Sibling incarceration leads to similar reductions in criminal activity.
description: Children of incarcerated parents in Cuyahoga County, Franklin County, and Hamilton County .
DOI: 10.15468/dl.zggx3g
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000590-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n28rv
title: Occurrence Download

description: A dataset containing 41931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fumana procumbens"
 ]
}

 The dataset includes 41931 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000585-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za2wt5
title: Occurrence Download

description: A dataset containing 21600869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bos taurus, Boselaphus tragocamelus, Bostrichus ligniperda, Bostrichus pfeili, Botrylloides diegensis, Botrylloides violaceus, Botryllus schlosseri, Bougainvillia muscus, Bougainvillia rugosa, Brachidontes pharaonis, Bradybaena similaris, Bramocharax bransfordii, Branchiomma bairdi, Branchiomma curtum, Branchiomma luctuosum, Branchiura sowerbyi, Branta canadensis, Branta hutchinsii, Brontispa longissima, Brotogeris chiriri)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 21600869 records from 1571 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000520-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/9nsk4-6z988
title: H_pylori_dFliO_GC

description: These are fast tilt series taken by Georges Chreifi on the Krios for dFliO mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-10-25</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild . . type cells but they don't express complete FliP protein. Therefore, they don't assemble full . . flagella. We knocked out FliO protein of the flagellar motor to study the early assembly states . of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. 10 nm . . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-25-186/rawdata/</p>Hpylori_FliO_189_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 3.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-25-186/rawdata/Hpylori_FliO_189_af.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_FliO_189_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-25-186/3dimage_107605/Hpylori_FliO_189_af_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/cytw9-r3t04
title: Hpylori_dfliQ

description: These are fast tilt series taken on the Krios for dFliM mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-11-19</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild type cells but they don't express complete FliP protein. Therefore, they don't . assemble full flagella. We knocked out FliQ protein of the flagellar motor to study the early assembly states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. The cells were grown for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids . were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot, time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. . 10 nm gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-217/rawdata/</p>Hpylori_dfliQ_218_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-217/rawdata/Hpylori_dfliQ_218_af.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_dfliQ_218_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-217/3dimage_109087/Hpylori_dfliQ_218_af_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/pd59q-k4f50
title: Hpylori_dfliQ

description: These are fast tilt series taken on the Krios for dFliM mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-11-19</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild type cells but they don't express complete FliP protein. Therefore, they don't . assemble full flagella. We knocked out FliQ protein of the flagellar motor to study the early assembly states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. The cells were grown for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids . were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot, time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. . 10 nm gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-24/rawdata/</p>Hpylori_dfliQ_012_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-24/rawdata/Hpylori_dfliQ_012_af.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_dfliQ_012_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-24/3dimage_108735/Hpylori_dfliQ_012_af_full.rec"
        > <i class="download icon"></i> Download </a></p>