diff --git a/.ci_support/environment-docs.yml b/.ci_support/environment-docs.yml
index f49c7032..b29b439e 100644
--- a/.ci_support/environment-docs.yml
+++ b/.ci_support/environment-docs.yml
@@ -15,11 +15,11 @@ dependencies:
 - structuretoolkit =0.0.39
 - seekpath =2.2.0
 - lammps =2024.08.29
-- pandas =2.3.3
+- pandas =3.0.0
 - pylammpsmpi =0.3.9
 - jinja2 =3.1.6
 - jupyter-book =1.0.0
-- pyiron_lammps =0.5.3
+- pyiron_lammps =0.5.4
 - pyiron_vasp =0.2.19
 - hatchling =1.28.0
 - hatch-vcs =0.5.0
diff --git a/.ci_support/environment-lammps.yml b/.ci_support/environment-lammps.yml
index 33d79574..d8172f47 100644
--- a/.ci_support/environment-lammps.yml
+++ b/.ci_support/environment-lammps.yml
@@ -2,9 +2,9 @@ channels:
 - conda-forge
 dependencies:
 - lammps =2024.08.29=*openmpi*
-- pandas =2.3.3
+- pandas =3.0.0
 - pylammpsmpi =0.3.9
 - jinja2 =3.1.6
 - iprpy-data =2023.07.25
 - dynaphopy =1.18.0
-- pyiron_lammps =0.5.3
+- pyiron_lammps =0.5.4
diff --git a/.ci_support/environment-notebooks.yml b/.ci_support/environment-notebooks.yml
index 4dd14386..06d648aa 100644
--- a/.ci_support/environment-notebooks.yml
+++ b/.ci_support/environment-notebooks.yml
@@ -5,8 +5,8 @@ dependencies:
 - papermill
 - gpaw =25.7.0
 - lammps =2024.08.29
-- pandas =2.3.3
+- pandas =3.0.0
 - pylammpsmpi =0.3.9
 - jinja2 =3.1.6
 - dynaphopy =1.18.0
-- pyiron_lammps =0.5.3
+- pyiron_lammps =0.5.4
diff --git a/.ci_support/environment.yml b/.ci_support/environment.yml
index e6b9585a..0ca1aee3 100644
--- a/.ci_support/environment.yml
+++ b/.ci_support/environment.yml
@@ -6,7 +6,7 @@ dependencies:
 - lxml =6.0.2
 - mendeleev =1.1.0
 - numpy =2.3.5
-- pandas =2.3.3
+- pandas =3.0.0
 - phonopy =2.47.1
 - requests =2.32.5
 - scipy =1.16.3
diff --git a/binder/environment.yml b/binder/environment.yml
index 6438e092..1fc8a7d1 100644
--- a/binder/environment.yml
+++ b/binder/environment.yml
@@ -10,12 +10,12 @@ dependencies:
 - seekpath =2.2.0
 - gpaw =25.7.0
 - lammps =2024.08.29
-- pandas =2.3.3
+- pandas =3.0.0
 - pylammpsmpi =0.3.9
 - jinja2 =3.1.6
 - dynaphopy =1.18.0
 - tqdm =4.67.1
-- pyiron_lammps =0.5.3
+- pyiron_lammps =0.5.4
 - pyiron_vasp =0.2.19
 - hatchling =1.28.0
 - hatch-vcs =0.5.0
diff --git a/pyproject.toml b/pyproject.toml
index c0fef190..af0c7b82 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -49,20 +49,20 @@ gpaw = [
 lammps = [
     "pylammpsmpi==0.3.9",
     "jinja2==3.1.6",
-    "pandas==2.3.3",
-    "pyiron_lammps==0.5.3",
+    "pandas==3.0.0",
+    "pyiron_lammps==0.5.4",
 ]
 lammps_phonons = [
     "pylammpsmpi==0.3.9",
     "jinja2==3.1.6",
-    "pandas==2.3.3",
+    "pandas==3.0.0",
     "dynaphopy==1.18.0",
-    "pyiron_lammps==0.5.3",
+    "pyiron_lammps==0.5.4",
 ]
 experimental = [
     "lxml==6.0.2",
     "mendeleev==1.1.0",
-    "pandas==2.3.3",
+    "pandas==3.0.0",
     "requests==2.32.5",
 ]
 sphinxdft = [
diff --git a/src/atomistics/referencedata/wikipedia.py b/src/atomistics/referencedata/wikipedia.py
index 5a74bd23..9498bc1f 100644
--- a/src/atomistics/referencedata/wikipedia.py
+++ b/src/atomistics/referencedata/wikipedia.py
@@ -1,3 +1,5 @@
+from io import StringIO
+
 import pandas
 import requests
 
@@ -33,7 +35,7 @@ def get_elastic_properties(chemical_symbol: str) -> dict:
         "https://en.wikipedia.org/wiki/Elastic_properties_of_the_elements_(data_page)",
         headers={"User-Agent": "atomistics package"},
     )
-    df_lst = pandas.read_html(response.text)
+    df_lst = pandas.read_html(StringIO(response.text))
     property_dict = {}
     for i, p in enumerate(property_lst):
         df_tmp = df_lst[i]
diff --git a/src/atomistics/referencedata/wolframalpha.py b/src/atomistics/referencedata/wolframalpha.py
index 9abe941c..864a7a0b 100644
--- a/src/atomistics/referencedata/wolframalpha.py
+++ b/src/atomistics/referencedata/wolframalpha.py
@@ -1,4 +1,5 @@
 import os
+from io import StringIO
 from typing import Callable, Optional, Union
 
 import numpy as np
@@ -17,7 +18,7 @@ def _get_content_from_url(url: str) -> pandas.DataFrame:
     Returns:
         pandas.DataFrame: The content retrieved from the URL as a pandas DataFrame.
     """
-    content = pandas.read_html(requests.get(url).text)
+    content = pandas.read_html(StringIO(requests.get(url).text))
     if len(content[8]) > 1:
         return content[8]
     else: